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Jing Xiao 0006
Person information
- unicode name: 肖京
- affiliation: PingAn Technology, Shenzhen, China
- affiliation (former): Epson Research and Development, San Jose, CA, USA
- affiliation (PhD 2005): Carnegie Mellon University, Robotics Institute, Pittsburgh, PA, USA
Other persons with the same name
- Jing Xiao — disambiguation page
- Jing Xiao 0001 — Worcester Polytechnic Institute, Worcester, MA, USA (and 2 more)
- Jing Xiao 0002 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
- Jing Xiao 0003 — Guilin Univerisity of Electronic Technology, Faculty of Electromechanical Engineering, China
- Jing Xiao 0004 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China (and 4 more)
- Jing Xiao 0005 — South China Normal University, School of Computer Science, Guangzhou, China (and 2 more)
- Jing Xiao 0007 — Shihezi University, Department of Information Science and Technology, China
Other persons with a similar name
- Xiao-jing Guo (aka: Xiaojing Guo)
- Xiao-Jing Han
- Xiao Jing
- Xiaoyuan Jing (aka: Xiao-Yuan Jing)
- Jingxiao Liao (aka: Jing-Xiao Liao) — disambiguation page
- Xiao-Jing Wang
- Xiao-jing Wang
- Jing-Fa Xiao
- Xiaojing Yin (aka: Xiao-Jing Yin) — disambiguation page
- Xiaojing Zhong (aka: Xiao-Jing Zhong) — disambiguation page
- show all similar names
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2020 – today
- 2024
- [j32]Qian Chen, Xuan Wang, Cenying Yang, Zoe Lin Jiang, Shuhan Qi, Jiajia Zhang, Na Li, Lei Wang, Jing Xiao:
Reverse double auction mechanism: An efficient algorithm for E-commerce platform operations. Electron. Commer. Res. Appl. 65: 101401 (2024) - [j31]Chang Shu, Yi Zhu, Xiaochu Tang, Jing Xiao, Youxin Chen, Xiu Li, Qian Zhang, Zheng Lu:
MITER: Medical Image-TExt joint adaptive pretRaining with multi-level contrastive learning. Expert Syst. Appl. 238(Part E): 121526 (2024) - [j30]Mingyu Wang, Chao Chen, Ziyue Xu, Lang Xu, Weiwei Zhan, Jing Xiao, Yiqing Hou, Bingsheng Huang, Lingyun Huang, Shuo Li:
An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. Medical Image Anal. 97: 103255 (2024) - [j29]Chenfeng Miao, Qingying Zhu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS 2: Variational End-to-End Text-to-Speech Synthesis and Voice Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1650-1661 (2024) - [j28]Haoze Sun, Chenyu Tian, Jing Xiao, Yujiu Yang:
Learn Stable MRI Under-Sampling Pattern With Decoupled Sampling Preference. IEEE Trans. Computational Imaging 10: 246-260 (2024) - [c333]Haoxiang Shi, Jianzong Wang, Xulong Zhang, Ning Cheng, Jun Yu, Jing Xiao:
RSET: Remapping-Based Sorting Method for Emotion Transfer Speech Synthesis. APWeb/WAIM (1) 2024: 90-104 - [c332]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
Medical Speech Symptoms Classification via Disentangled Representation. CSCWD 2024: 1110-1115 - [c331]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CVPR 2024: 687-696 - [c330]Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang, Jing Xiao:
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers. DATE 2024: 1-6 - [c329]Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang:
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding. EMNLP 2024: 4500-4511 - [c328]Yimin Deng, Huaizhen Tang, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang:
Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval. ICASSP 2024: 7150-7154 - [c327]Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang:
INCPrompt: Task-Aware Incremental Prompting for Rehearsal-Free Class-Incremental Learning. ICASSP 2024: 7240-7244 - [c326]Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang:
P2DT: Mitigating Forgetting in Task-Incremental Learning with Progressive Prompt Decision Transformer. ICASSP 2024: 7265-7269 - [c325]Bingyuan Zhang, Xulong Zhang, Ning Cheng, Jun Yu, Jing Xiao, Jianzong Wang:
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model. ICASSP 2024: 8276-8280 - [c324]Ziyang Zhuang, Kun Zou, Chenfeng Miao, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao:
Improving Attention-Based End-to-End Speech Recognition by Monotonic Alignment Attention Matrix Reconstruction. ICASSP 2024: 10546-10550 - [c323]Haobin Tang, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang:
ED-TTS: Multi-Scale Emotion Modeling Using Cross-Domain Emotion Diarization for Emotional Speech Synthesis. ICASSP 2024: 12146-12150 - [c322]Zeyu Yang, Minchuan Chen, Yanping Li, Wei Hu, Shaojun Wang, Jing Xiao, Zijian Li:
ESVC: Combining Adaptive Style Fusion and Multi-Level Feature Disentanglement for Expressive Singing Voice Conversion. ICASSP 2024: 12161-12165 - [c321]Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang:
Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning. ICASSP 2024: 12546-12550 - [c320]Jianzong Wang, Haoxiang Shi, Kaiyi Luo, Xulong Zhang, Ning Cheng, Jing Xiao:
RREH: Reconstruction Relations Embedded Hashing for Semi-paired Cross-Modal Retrieval. ICIC (LNAI 5) 2024: 374-385 - [c319]Haoxiang Shi, Xulong Zhang, Ning Cheng, Yong Zhang, Jun Yu, Jing Xiao, Jianzong Wang:
Enhancing Emotion Recognition in Conversation Through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning. ICIC (LNAI 3) 2024: 391-401 - [c318]Chenfeng Miao, Qingying Zhu, Minchuan Chen, Wei Hu, Zijian Li, Shaojun Wang, Jing Xiao:
DFlow: A Generative Model Combining Denoising AutoEncoder and Normalizing Flow for High Fidelity Waveform Generation. ICML 2024 - [c317]Yimin Deng, Jianzong Wang, Xulong Zhang, Ning Cheng, Jing Xiao:
Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation. IJCNN 2024: 1-7 - [c316]Zuheng Kang, Yayun He, Jianzong Wang, Junqing Peng, Jing Xiao:
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning. IJCNN 2024: 1-6 - [c315]Pengcheng Li, Jianzong Wang, Xulong Zhang, Yong Zhang, Jing Xiao, Ning Cheng:
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion. IJCNN 2024: 1-7 - [c314]Ziqi Liang, Jianzong Wang, Xulong Zhang, Yong Zhang, Ning Cheng, Jing Xiao:
EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning. IJCNN 2024: 1-7 - [c313]Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering. IJCNN 2024: 1-7 - [c312]Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang:
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training. IJCNN 2024: 1-7 - [c311]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
ConTuner: Singing Voice Beautifying with Pitch and Expressiveness Condition. IJCNN 2024: 1-6 - [c310]Jianzong Wang, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization. IJCNN 2024: 1-7 - [c309]Liang Wang, Xiaoyang Qu, Jianzong Wang, Guokuan Li, Jiguang Wan, Nan Zhang, Song Guo, Jing Xiao:
Gecko: Resource-Efficient and Accurate Queries in Real-Time Video Streams at the Edge. INFOCOM 2024: 481-490 - [c308]Xinzhe Ni, Yong Liu, Hao Wen, Yatai Ji, Jing Xiao, Yujiu Yang:
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition. ICMR 2024: 1-10 - [c307]Zuheng Kang, Yayun He, Botao Zhao, Xiaoyang Qu, Junqing Peng, Jing Xiao, Jianzong Wang:
Retrieval-Augmented Audio Deepfake Detection. ICMR 2024: 376-384 - [c306]Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao:
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. NAACL-HLT 2024: 7602-7635 - [c305]Xv Meng, Jun Rao, Shuhan Qi, Lei Wang, Jing Xiao, Xuan Wang:
Harnessing the Power of Prompt Experts: Efficient Knowledge Distillation for Enhanced Language Understanding. ECML/PKDD (8) 2024: 218-234 - [c304]Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang:
Prior Bilinear-Based Models for Knowledge Graph Completion. ECML/PKDD (3) 2024: 317-334 - [i222]Bingyuan Zhang, Xulong Zhang, Ning Cheng, Jun Yu, Jing Xiao, Jianzong Wang:
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model. CoRR abs/2401.08049 (2024) - [i221]Yimin Deng, Huaizhen Tang, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang:
Learning Disentangled Speech Representations with Contrastive Learning and Time-Invariant Retrieval. CoRR abs/2401.08096 (2024) - [i220]Haobin Tang, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang:
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis. CoRR abs/2401.08166 (2024) - [i219]Yong Zhang, Hanzhang Li, Zhitao Li, Ning Cheng, Ming Li, Jing Xiao, Jianzong Wang:
Leveraging Biases in Large Language Models: "bias-kNN" for Effective Few-Shot Learning. CoRR abs/2401.09783 (2024) - [i218]Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang:
P2DT: Mitigating Forgetting in task-incremental Learning with progressive prompt Decision Transformer. CoRR abs/2401.11666 (2024) - [i217]Zhiyuan Wang, Xiaoyang Qu, Jing Xiao, Bokui Chen, Jianzong Wang:
INCPrompt: Task-Aware incremental Prompting for Rehearsal-Free Class-incremental Learning. CoRR abs/2401.11667 (2024) - [i216]Wei Tao, Shenglin He, Kai Lu, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang, Jing Xiao:
Value-Driven Mixed-Precision Quantization for Patch-Based Inference on Microcontrollers. CoRR abs/2401.13714 (2024) - [i215]Canyu Zhang, Youbao Tang, Ning Zhang, Ruei-Sung Lin, Mei Han, Jing Xiao, Song Wang:
Bidirectional Autoregressive Diffusion Model for Dance Generation. CoRR abs/2402.04356 (2024) - [i214]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
Medical Speech Symptoms Classification via Disentangled Representation. CoRR abs/2403.05000 (2024) - [i213]Zuheng Kang, Yayun He, Botao Zhao, Xiaoyang Qu, Junqing Peng, Jing Xiao, Jianzong Wang:
Retrieval-Augmented Audio Deepfake Detection. CoRR abs/2404.13892 (2024) - [i212]Zuheng Kang, Yayun He, Jianzong Wang, Junqing Peng, Jing Xiao:
Efficient Multi-Model Fusion with Adversarial Complementary Representation Learning. CoRR abs/2404.15704 (2024) - [i211]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
CONTUNER: Singing Voice Beautifying with Pitch and Expressiveness Condition. CoRR abs/2404.19187 (2024) - [i210]Ziqi Liang, Jianzong Wang, Xulong Zhang, Yong Zhang, Ning Cheng, Jing Xiao:
EAD-VC: Enhancing Speech Auto-Disentanglement for Voice Conversion with IFUB Estimator and Joint Text-Guided Consistent Learning. CoRR abs/2404.19212 (2024) - [i209]Jianzong Wang, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
EfficientASR: Speech Recognition Network Compression via Attention Redundancy and Chunk-Level FFN Optimization. CoRR abs/2404.19214 (2024) - [i208]Sheng Ouyang, Jianzong Wang, Yong Zhang, Zhitao Li, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
QLSC: A Query Latent Semantic Calibrator for Robust Extractive Question Answering. CoRR abs/2404.19316 (2024) - [i207]Yimin Deng, Jianzong Wang, Xulong Zhang, Ning Cheng, Jing Xiao:
Learning Expressive Disentangled Speech Representations with Soft Speech Units and Adversarial Style Augmentation. CoRR abs/2405.00603 (2024) - [i206]Pengcheng Li, Jianzong Wang, Xulong Zhang, Yong Zhang, Jing Xiao, Ning Cheng:
MAIN-VC: Lightweight Speech Representation Disentanglement for One-shot Voice Conversion. CoRR abs/2405.00930 (2024) - [i205]Zhiyuan Wang, Bokui Chen, Xiaoyang Qu, Zhenhou Hong, Jing Xiao, Jianzong Wang:
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training. CoRR abs/2405.13445 (2024) - [i204]Haoxiang Shi, Jianzong Wang, Xulong Zhang, Ning Cheng, Jun Yu, Jing Xiao:
RSET: Remapping-based Sorting Method for Emotion Transfer Speech Synthesis. CoRR abs/2405.17028 (2024) - [i203]Jianzong Wang, Haoxiang Shi, Kaiyi Luo, Xulong Zhang, Ning Cheng, Jing Xiao:
RREH: Reconstruction Relations Embedded Hashing for Semi-Paired Cross-Modal Retrieval. CoRR abs/2405.17777 (2024) - [i202]Haoxiang Shi, Xulong Zhang, Ning Cheng, Yong Zhang, Jun Yu, Jing Xiao, Jianzong Wang:
Enhancing Emotion Recognition in Conversation through Emotional Cross-Modal Fusion and Inter-class Contrastive Learning. CoRR abs/2405.17900 (2024) - [i201]Ziyang Zhuang, Chenfeng Miao, Kun Zou, Shuai Gong, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao:
A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed. CoRR abs/2406.08835 (2024) - [i200]Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao:
PFID: Privacy First Inference Delegation Framework for LLMs. CoRR abs/2406.12238 (2024) - [i199]Benjamin Hou, Sung-Won Lee, Jung-Min Lee, Christopher Koh, Jing Xiao, Perry J. Pickhardt, Ronald M. Summers:
Deep Learning Segmentation of Ascites on Abdominal CT Scans for Automatic Volume Quantification. CoRR abs/2406.15979 (2024) - [i198]Zhigen Li, Jianxiang Peng, Yanmeng Wang, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, Yuqian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong:
Planning with Large Language Models for Conversational Agents. CoRR abs/2407.03884 (2024) - [i197]Pengcheng Li, Xulong Zhang, Jing Xiao, Jianzong Wang:
IDEAW: Robust Neural Audio Watermarking with Invertible Dual-Embedding. CoRR abs/2409.19627 (2024) - 2023
- [j27]Chang Shu, Zijian Zhang, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, Zheng Lu:
Open Domain Response Generation Guided by Retrieved Conversations. IEEE Access 11: 99365-99375 (2023) - [j26]Shuhan Qi, Zhengying Cao, Jun Rao, Lei Wang, Jing Xiao, Xuan Wang:
What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing. Inf. Process. Manag. 60(6): 103510 (2023) - [j25]Huale Li, Zengyue Guo, Yang Liu, Xuan Wang, Shuhan Qi, Jiajia Zhang, Jing Xiao:
Kdb-D2CFR: Solving Multiplayer imperfect-information games with knowledge distillation-based DeepCFR. Knowl. Based Syst. 272: 110567 (2023) - [j24]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation From Chest X-Ray Images: Anatomy-Aware Attentive Multi-ROI Modeling. IEEE Trans. Medical Imaging 42(1): 257-267 (2023) - [c303]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao:
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. AAAI 2023: 13923-13931 - [c302]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Voice Conversion with Denoising Diffusion Probabilistic GAN Models. ADMA (4) 2023: 154-167 - [c301]Kexin Zhu, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Symbolic and Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music. ADMA (4) 2023: 168-181 - [c300]Xulong Zhang, Jianzong Wang, Ning Cheng, Yifu Sun, Chuanyao Zhang, Jing Xiao:
Machine Unlearning Methodology Based on Stochastic Teacher Network. ADMA (5) 2023: 250-261 - [c299]Gaayathri Sankar, Soussan Djamasbi, Norbou Buchler, Jane Li, Jing Xiao:
Extended Review on the User Evaluation of Teleoperation Interfaces for Professional Service Robots. AMCIS 2023 - [c298]Yayun He, Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
Voiceextender: Short-Utterance Text-Independent Speaker Verification With Guided Diffusion Model. ASRU 2023: 1-8 - [c297]Jianzong Wang, Yimin Deng, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding. ISPA/BDCloud/SocialCom/SustainCom 2023: 752-757 - [c296]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation. ISPA/BDCloud/SocialCom/SustainCom 2023: 923-928 - [c295]Yimin Deng, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation. ISPA/BDCloud/SocialCom/SustainCom 2023: 1143-1148 - [c294]Liang Wang, Kai Lu, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao:
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning. DAC 2023: 1-6 - [c293]Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Youxin Chen, Jing Xiao, Jey Han Lau, Qian Zhang, Zheng Lu:
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. EACL 2023: 1209-1221 - [c292]Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao:
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter. EMNLP 2023: 5364-5375 - [c291]Gaayathri Sankar, Soussan Djamasbi, Zhi Li, Jing Xiao, Norbou Buchler:
Systematic Literature Review on the User Evaluation of Teleoperation Interfaces for Professional Service Robots. HCI (29) 2023: 66-85 - [c290]Jinggang Chen, Xiaoyang Qu, Junjie Li, Jianzong Wang, Jiguang Wan, Jing Xiao:
Detecting Out-of-Distribution Examples Via Class-Conditional Impressions Reappearing. ICASSP 2023: 1-5 - [c289]Zuheng Kang, Yayun He, Jianzong Wang, Junqing Peng, Xiaoyang Qu, Jing Xiao:
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification. ICASSP 2023: 1-5 - [c288]Ganghui Ru, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving Music Genre Classification from multi-modal Properties of Music and Genre Correlations Perspective. ICASSP 2023: 1-5 - [c287]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Learning Speech Representations with Flexible Hidden Feature Dimensions. ICASSP 2023: 1-5 - [c286]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
VQ-CL: Learning Disentangled Speech Representations with Contrastive Learning and Vector Quantization. ICASSP 2023: 1-5 - [c285]Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis. ICASSP 2023: 1-5 - [c284]Tong Ye, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval. ICASSP 2023: 1-5 - [c283]Xulong Zhang, Haobin Tang, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao:
Dynamic Alignment Mask CTC: Improved Mask CTC With Aligned Cross Entropy. ICASSP 2023: 1-5 - [c282]Kexin Zhu, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving EEG-based Emotion Recognition by Fusing Time-Frequency and Spatial Representations. ICASSP 2023: 1-5 - [c281]Liang Wang, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Kaiyu Hu, Guilin Jiang, Jing Xiao:
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices. ICONIP (1) 2023: 292-304 - [c280]Yazhong Si, Xulong Zhang, Fan Yang, Jianzong Wang, Ning Cheng, Jing Xiao:
AOSR-Net: All-in-One Sandstorm Removal Network. ICTAI 2023: 641-645 - [c279]Jianzong Wang, Xulong Zhang, Aolan Sun, Ning Cheng, Jing Xiao:
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework. ICTAI 2023: 905-912 - [c278]Kaiyi Luo, Xulong Zhang, Jianzong Wang, Huaxiong Li, Ning Cheng, Jing Xiao:
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval. ICTAI 2023: 913-917 - [c277]Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. IJCAI 2023: 3984-3992 - [c276]Rongfeng Pan, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Jing Xiao:
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization. IJCNN 2023: 1-7 - [c275]Jianzong Wang, Xulong Zhang, Haobin Tang, Aolan Sun, Ning Cheng, Jing Xiao:
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model. IJCNN 2023: 1-7 - [c274]Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis. INTERSPEECH 2023: 12-16 - [c273]Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao:
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism. INTERSPEECH 2023: 2173-2177 - [c272]Xiyuan Wang, Fangyuan Wang, Bo Xu, Liang Xu, Jing Xiao:
P-vectors: A Parallel-coupled TDNN/Transformer Network for Speaker Verification. INTERSPEECH 2023: 3182-3186 - [c271]Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao:
Prompt Guided Copy Mechanism for Conversational Question Answering. INTERSPEECH 2023: 3422-3426 - [c270]Fengyun Tan, Chaofeng Feng, Tao Wei, Shuai Gong, Jinqiang Leng, Wei Chu, Jun Ma, Shaojun Wang, Jing Xiao:
Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts. INTERSPEECH 2023: 4224-4228 - [c269]Minchuan Chen, Chenfeng Miao, Jun Ma, Shaojun Wang, Jing Xiao:
Exploring multi-task learning and data augmentation in dementia detection with self-supervised pretrained models. INTERSPEECH 2023: 5037-5041 - [c268]Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
SVVAD: Personal Voice Activity Detection for Speaker Verification. INTERSPEECH 2023: 5067-5071 - [c267]Yifu Sun, Xulong Zhang, Jianzong Wang, Ning Cheng, Kaiyu Hu, Jing Xiao:
Investigation of Music Emotion Recognition Based on Segmented Semi-Supervised Learning. INTERSPEECH 2023: 5456-5460 - [c266]Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers:
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI 2023: 1-5 - [c265]Yimin Deng, Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion. ACM Multimedia 2023: 184-192 - [c264]Jun Yu, Shenshen Du, Ruiqiang Yang, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao:
Image- and Instance-Level Data Augmentation for Occluded Instance Segmentation. MMSports@MM 2023: 137-142 - [c263]Jun Yu, Renda Li, Renjie Lu, Leilei Wang, Shuoping Yang, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao:
Exploring Loss Function and Rank Fusion for Enhanced Person Re-identification. MMSports@MM 2023: 143-150 - [c262]Jun Yu, Leilei Wang, Renjie Lu, Shuoping Yang, Renda Li, Lei Wang, Minchuan Chen, Qingying Zhu, Shaojun Wang, Jing Xiao:
Relative Boundary Modeling: A High-Resolution Cricket Bowl Release Detection Framework with I3D Features. MMSports@MM 2023: 151-159 - [c261]Jinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao:
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection. NeurIPS 2023 - [c260]Tianhe Wu, Shuwei Shi, Haoming Cai, Mingdeng Cao, Jing Xiao, Yinqiang Zheng, Yujiu Yang:
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment. NeurIPS 2023 - [c259]Zixuan Zhang, Shuhan Qi, Zihao Zhou, Jiajia Zhang, Hao Yuan, Xuan Wang, Lei Wang, Jing Xiao:
Reinforced Vision-and-Language Navigation Based on Historical BERT. ICSI (2) 2023: 427-438 - [i196]Zhilin Zheng, Xu Fang, Jiawen Yao, Mengmeng Zhu, Le Lu, Lingyun Huang, Jing Xiao, Yu Shi, Hong Lu, Jianping Lu, Ling Zhang, Chengwei Shao, Yun Bian:
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging. CoRR abs/2301.01448 (2023) - [i195]Xiaoye Qian, Youbao Tang, Ning Zhang, Mei Han, Jing Xiao, Ming-Chun Huang, Ruei-Sung Lin:
HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation. CoRR abs/2301.07322 (2023) - [i194]Fanxing Meng, Jing Xiao:
From Rolling Over to Walking: Enabling Humanoid Robots to Develop Complex Motor Skills. CoRR abs/2303.02581 (2023) - [i193]Zuheng Kang, Yayun He, Jianzong Wang, Junqing Peng, Xiaoyang Qu, Jing Xiao:
Feature-Rich Audio Model Inversion for Data-Free Knowledge Distillation Towards General Sound Classification. CoRR abs/2303.07643 (2023) - [i192]Ganghui Ru, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving Music Genre Classification from multi-modal properties of music and genre correlations Perspective. CoRR abs/2303.07667 (2023) - [i191]Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
QI-TTS: Questioning Intonation Control for Emotional Speech Synthesis. CoRR abs/2303.07682 (2023) - [i190]Xulong Zhang, Haobin Tang, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao:
Dynamic Alignment Mask CTC: Improved Mask-CTC with Aligned Cross Entropy. CoRR abs/2303.07687 (2023) - [i189]Tong Ye, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Efficient Uncertainty Estimation with Gaussian Process for Reliable Dialog Response Retrieval. CoRR abs/2303.08599 (2023) - [i188]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Zhitao Li, Jing Xiao:
On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models. CoRR abs/2303.08606 (2023) - [i187]Shuhan Qi, Shuhao Zhang, Qiang Wang, Jiajia Zhang, Jing Xiao, Xuan Wang:
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2303.09058 (2023) - [i186]Jinggang Chen, Xiaoyang Qu, Junjie Li, Jianzong Wang, Jiguang Wan, Jing Xiao:
Detecting Out-of-distribution Examples via Class-conditional Impressions Reappearing. CoRR abs/2303.09746 (2023) - [i185]Kexin Zhu, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving EEG-based Emotion Recognition by Fusing Time-frequency And Spatial Representations. CoRR abs/2303.11421 (2023) - [i184]Rongfeng Pan, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Jing Xiao:
Personalized Federated Learning via Gradient Modulation for Heterogeneous Text Summarization. CoRR abs/2304.11524 (2023) - [i183]Jianzong Wang, Xulong Zhang, Haobin Tang, Aolan Sun, Ning Cheng, Jing Xiao:
SAR: Self-Supervised Anti-Distortion Representation for End-To-End Speech Model. CoRR abs/2304.11547 (2023) - [i182]Tianhe Wu, Shuwei Shi, Haoming Cai, Mingdeng Cao, Jing Xiao, Yinqiang Zheng, Yujiu Yang:
Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment. CoRR abs/2305.10983 (2023) - [i181]Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
SVVAD: Personal Voice Activity Detection for Speaker Verification. CoRR abs/2305.19581 (2023) - [i180]Haobin Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
EmoMix: Emotion Mixing via Diffusion Models for Emotional Speech Synthesis. CoRR abs/2306.00648 (2023) - [i179]Liang Wang, Kai Lu, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Jing Xiao:
Shoggoth: Towards Efficient Edge-Cloud Collaborative Real-Time Video Inference via Adaptive Online Learning. CoRR abs/2306.15333 (2023) - [i178]Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao:
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. CoRR abs/2306.15347 (2023) - [i177]Yong Zhang, Zhitao Li, Jianzong Wang, Yiming Gao, Ning Cheng, Fengying Yu, Jing Xiao:
Prompt Guided Copy Mechanism for Conversational Question Answering. CoRR abs/2308.03422 (2023) - [i176]Jiaxin Fan, Yong Zhang, Hanzhang Li, Jianzong Wang, Zhitao Li, Sheng Ouyang, Ning Cheng, Jing Xiao:
Boosting Chinese ASR Error Correction with Dynamic Error Scaling Mechanism. CoRR abs/2308.03423 (2023) - [i175]Liang Wang, Nan Zhang, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Guokuan Li, Kaiyu Hu, Guilin Jiang, Jing Xiao:
EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices. CoRR abs/2308.08717 (2023) - [i174]Yimin Deng, Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
PMVC: Data Augmentation-Based Prosody Modeling for Expressive Voice Conversion. CoRR abs/2308.11084 (2023) - [i173]Ming Li, Yong Zhang, Zhitao Li, Jiuhai Chen, Lichang Chen, Ning Cheng, Jianzong Wang, Tianyi Zhou, Jing Xiao:
From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning. CoRR abs/2308.12032 (2023) - [i172]Kexin Zhu, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Symbolic & Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music. CoRR abs/2308.14317 (2023) - [i171]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Voice Conversion with Denoising Diffusion Probabilistic GAN Models. CoRR abs/2308.14319 (2023) - [i170]Xulong Zhang, Jianzong Wang, Ning Cheng, Yifu Sun, Chuanyao Zhang, Jing Xiao:
Machine Unlearning Methodology base on Stochastic Teacher Network. CoRR abs/2308.14322 (2023) - [i169]Zipeng Qi, Xulong Zhang, Ning Cheng, Jing Xiao, Jianzong Wang:
DiffTalker: Co-driven audio-image diffusion for talking faces via intermediate landmarks. CoRR abs/2309.07509 (2023) - [i168]Jianzong Wang, Xulong Zhang, Aolan Sun, Ning Cheng, Jing Xiao:
FastGraphTTS: An Ultrafast Syntax-Aware Speech Synthesis Framework. CoRR abs/2309.08837 (2023) - [i167]Yazhong Si, Xulong Zhang, Fan Yang, Jianzong Wang, Ning Cheng, Jing Xiao:
AOSR-Net: All-in-One Sandstorm Removal Network. CoRR abs/2309.08838 (2023) - [i166]Kaiyi Luo, Xulong Zhang, Jianzong Wang, Huaxiong Li, Ning Cheng, Jing Xiao:
Contrastive Latent Space Reconstruction Learning for Audio-Text Retrieval. CoRR abs/2309.08839 (2023) - [i165]David Vutetakis, Jing Xiao:
Active perception network for non-myopic online exploration and visual surface coverage. CoRR abs/2309.11695 (2023) - [i164]Jiayi Li, Ruilin Luo, Jiaqi Sun, Jing Xiao, Yujiu Yang:
Prior Bilinear Based Models for Knowledge Graph Completion. CoRR abs/2309.13834 (2023) - [i163]Yayun He, Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
VoiceExtender: Short-utterance Text-independent Speaker Verification with Guided Diffusion Model. CoRR abs/2310.04681 (2023) - [i162]Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng, Ming Li, Jing Xiao:
PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter. CoRR abs/2310.18347 (2023) - [i161]Jianzong Wang, Pengcheng Li, Xulong Zhang, Ning Cheng, Jing Xiao:
DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation. CoRR abs/2311.07965 (2023) - [i160]Yimin Deng, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
CLN-VC: Text-Free Voice Conversion Based on Fine-Grained Style Control and Contrastive Learning with Negative Samples Augmentation. CoRR abs/2311.08670 (2023) - [i159]Jianzong Wang, Yimin Deng, Ziqi Liang, Xulong Zhang, Ning Cheng, Jing Xiao:
CP-EB: Talking Face Generation with Controllable Pose and Eye Blinking Embedding. CoRR abs/2311.08673 (2023) - [i158]Jinggang Chen, Junjie Li, Xiaoyang Qu, Jianzong Wang, Jiguang Wan, Jing Xiao:
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection. CoRR abs/2311.09620 (2023) - 2022
- [j23]Xiaohan Hou, Zhenyang Guo, Xuan Wang, Tao Qian, Jiajia Zhang, Shuhan Qi, Jing Xiao:
Parallel learner: A practical deep reinforcement learning framework for multi-scenario games. Knowl. Based Syst. 236: 107753 (2022) - [j22]Kai Lei, Hao Ye, Junjie Fang, Peiwu Chen, Liangjie Zhang, Jing Xiao:
GBRM: a graph embedding and blockchain-based resource management framework for 5G MEC. J. Supercomput. 78(14): 16266-16285 (2022) - [j21]Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images. IEEE Trans. Medical Imaging 41(10): 2658-2669 (2022) - [c258]Jianhan Wu, Shijing Si, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Pose Guided Human Image Synthesis with Partially Decoupled GAN. ACML 2022: 1133-1148 - [c257]Xulong Zhang, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao:
Shallow Diffusion Motion Model for Talking Face Generation from Speech. APWeb/WAIM (2) 2022: 144-157 - [c256]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CVPR 2022: 7098-7108 - [c255]Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
Machine Unlearning Method Based On Projection Residual. DSAA 2022: 1-8 - [c254]Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. DSAA 2022: 1-7 - [c253]Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. DSAA 2022: 1-8 - [c252]Iek-Heng Chu, Ziyi Chen, Xinlu Yu, Mei Han, Jing Xiao, Peng Chang:
Self-supervised Cross-modal Pretraining for Speech Emotion Recognition and Sentiment Analysis. EMNLP (Findings) 2022: 5105-5114 - [c251]Chenyu Huang, Jianzong Wang, Huangxun Chen, Shijing Si, Zhangcheng Huang, Jing Xiao:
zkMLaaS: a Verifiable Scheme for Machine Learning as a Service. GLOBECOM 2022: 5475-5480 - [c250]Chuanyao Zhang, Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Xiaoyang Qu, Ning Cheng, Jing Xiao:
Supervised Contrastive Meta-learning for Few-Shot Classification. HPCC/DSS/SmartCity/DependSys 2022: 1736-1742 - [c249]Qiqi Wang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning. ICASSP 2022: 3184-3188 - [c248]Botao Zhao, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-Shot Multi-speaker text-to-speech. ICASSP 2022: 4293-4297 - [c247]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Avqvc: One-Shot Voice Conversion By Vector Quantization With Applying Contrastive Learning. ICASSP 2022: 4613-4617 - [c246]Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao:
Towards Speaker Age Estimation With Label Distribution Learning. ICASSP 2022: 4618-4622 - [c245]Chendong Zhao, Jianzong Wang, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled Noise Introducing and Contextual Information Incorporation. ICASSP 2022: 6197-6201 - [c244]Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao:
VU-BERT: A Unified Framework for Visual Dialog. ICASSP 2022: 6687-6691 - [c243]Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Self-Attention for Incomplete Utterance Rewriting. ICASSP 2022: 8047-8051 - [c242]Liyao Xiong, Zoe Lin Jiang, Yi Huang, Jianzong Wang, Jing Xiao, Weizhe Zhang, Xuan Wang:
Efficient Private Set Intersection Based on Functional Encryption. ICDIS 2022: 9-15 - [c241]Song Qin, Lei Zhang, Shuhan Qi, Jiajia Zhang, Huale Li, Xuan Wang, Jing Xiao:
EFDO: Solving Extensive-Form Games Based On Double Oracle. ICDIS 2022: 382-387 - [c240]Huale Li, Shuhan Qi, Jiajia Zhang, Dandan Zhang, Lin Yao, Xuan Wang, Qi Li, Jing Xiao:
NFSP-PER: An efficient sampling NFSP-based method with prioritized experience replay. ICDIS 2022: 388-393 - [c239]Jiajia Zhang, Mingxin Zhan, Shuhan Qi, Nanwei Yu, Dongrun Zheng, Xuan Wang, Jing Xiao:
Information Entropy of Uncertainty Control: An Uncertainty Management Method in Imperfect Information Games. ICDIS 2022: 428-434 - [c238]Dongrun Zheng, Jiajia Zhang, Xuan Wang, Xiao Guo, Jing Xiao:
Dual Feature Fusion Trade Execution Framework with DDQN. ICDIS 2022: 442-446 - [c237]Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao:
Boosting StarGANs for Voice Conversion with Contrastive Discriminator. ICONIP (2) 2022: 355-366 - [c236]Denghao Li, Yuqiao Zeng, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Ning Cheng, Xiaoyang Qu, Jing Xiao:
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation. ICTAI 2022: 228-232 - [c235]Aolan Sun, Xulong Zhang, Tiandong Ling, Jianzong Wang, Ning Cheng, Jing Xiao:
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar. ICTAI 2022: 1002-1006 - [c234]Denghao Li, Jianzong Wang, Lingwei Kong, Shijing Si, Zhangcheng Huang, Chenyu Huang, Jing Xiao:
A Nearest Neighbor Under-sampling Strategy for Vertical Federated Learning in Financial Domain. IH&MMSec 2022: 123-128 - [c233]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao:
QSpeech: Low-Qubit Quantum Speech Application Toolkit. IJCNN 2022: 1-8 - [c232]Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao:
Federated Split BERT for Heterogeneous Text Classification. IJCNN 2022: 1-8 - [c231]Jian Luo, Jianzong Wang, Ning Cheng, Haobin Tang, Jing Xiao:
Speech Augmentation Based Unsupervised Learning for Keyword Spotting. IJCNN 2022: 1-7 - [c230]Jian Luo, Jianzong Wang, Ning Cheng, Zhenpeng Zheng, Jing Xiao:
Adaptive Activation Network for Low Resource Multilingual Speech Recognition. IJCNN 2022: 1-7 - [c229]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. IJCNN 2022: 1-7 - [c228]Yanxin Song, Jianzong Wang, Tianbo Wu, Zhangcheng Huang, Jing Xiao:
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning. IJCNN 2022: 1-7 - [c227]Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. IJCNN 2022: 1-8 - [c226]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. IJCNN 2022: 1-6 - [c225]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. IJCNN 2022: 1-7 - [c224]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. IJCNN 2022: 1-8 - [c223]Zijian Zhang, Chang Shu, Youxin Chen, Jing Xiao, Qian Zhang, Zheng Lu:
ICAF: Iterative Contrastive Alignment Framework for Multimodal Abstractive Summarization. IJCNN 2022: 1-8 - [c222]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
SUSing: SU-net for Singing Voice Synthesis. IJCNN 2022: 1-7 - [c221]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification. IJCNN 2022: 1-7 - [c220]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS. IJCNN 2022: 1-7 - [c219]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features. IJCNN 2022: 1-7 - [c218]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MetaSID: Singer Identification with Domain Adaptation for Metaverse. IJCNN 2022: 1-7 - [c217]Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. IJCNN 2022: 1-7 - [c216]Chendong Zhao, Jianzong Wang, Leilai Li, Xiaoyang Qu, Jing Xiao:
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection. IJCNN 2022: 1-7 - [c215]Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao:
Cali3F: Calibrated Fast Fair Federated Recommendation System. IJCNN 2022: 1-8 - [c214]Chenfeng Miao, Kun Zou, Ziyang Zhuang, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao:
Towards Efficiently Learning Monotonic Alignments for Attention-based End-to-End Speech Recognition. INTERSPEECH 2022: 1051-1055 - [c213]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao:
Uncertainty Calibration for Deep Audio Classifiers. INTERSPEECH 2022: 1556-1560 - [c212]Chenfeng Miao, Ting Chen, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
A compact transformer-based GAN vocoder. INTERSPEECH 2022: 1636-1640 - [c211]Ye Wang, Baishun Ling, Yanmeng Wang, Junhao Xue, Shaojun Wang, Jing Xiao:
Adversarial Knowledge Distillation For Robust Spoken Language Understanding. INTERSPEECH 2022: 2708-2712 - [c210]Zongfeng Quan, Nick J. C. Wang, Wei Chu, Tao Wei, Shaojun Wang, Jing Xiao:
FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition. INTERSPEECH 2022: 3153-3157 - [c209]Zuheng Kang, Junqing Peng, Jianzong Wang, Jing Xiao:
SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning. INTERSPEECH 2022: 4745-4749 - [c208]Jian Luo, Jianzong Wang, Ning Cheng, Edward Xiao, Xulong Zhang, Jing Xiao:
Tiny-Sepformer: A Tiny Time-Domain Transformer Network For Speech Separation. INTERSPEECH 2022: 5313-5317 - [c207]Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy. KSEM (3) 2022: 165-177 - [c206]Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers:
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI 2022: 121-129 - [c205]Zhenjie Cao, Xiaoyun Zhou, Yuxing Tang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Asymmetry and Architectural Distortion Detection with Limited Mammography Data. MILLanD@MICCAI 2022: 163-173 - [c204]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. MICCAI (4) 2022: 535-544 - [c203]Haiyang Ying, Jinzhi Zhang, Yuzhe Chen, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis. ACM Multimedia 2022: 6113-6124 - [c202]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data. MSN 2022: 456-460 - [c201]Xulong Zhang, Jianzong Wang, Ning Cheng, Kexin Zhu, Jing Xiao:
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach. MSN 2022: 485-489 - [c200]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse. MSN 2022: 841-846 - [c199]Xulong Zhang, Jianzong Wang, Ning Cheng, Mengyuan Zhao, Zhiyong Zhang, Jing Xiao:
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition. MSN 2022: 915-920 - [c198]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Semi-Supervised Learning Based on Reference Model for Low-resource TTS. MSN 2022: 966-971 - [c197]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving Imbalanced Text Classification with Dynamic Curriculum Learning. MSN 2022: 1031-1036 - [c196]Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis. NeurIPS 2022 - [c195]Ye Wang, Yanmeng Wang, Baishun Ling, Zexiang Liao, Shaojun Wang, Jing Xiao:
PINGAN Omini-Sinitic at SemEval-2022 Task 4: Multi-prompt Training for Patronizing and Condescending Language Detection. SemEval@NAACL 2022: 313-318 - [c194]Chendong Zhao, Jianzong Wang, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation. SLT 2022: 509-516 - [c193]Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning. SLT 2022: 1037-1044 - [c192]Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao:
Debias the Black-Box: A Fair Ranking Framework via Knowledge Distillation. WISE 2022: 395-405 - [i157]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Lumbar Bone Mineral Density Estimation from Chest X-ray Images: Anatomy-aware Attentive Multi-ROI Modeling. CoRR abs/2201.01838 (2022) - [i156]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
AVQVC: One-shot Voice Conversion by Vector Quantization with applying contrastive learning. CoRR abs/2202.10020 (2022) - [i155]Botao Zhao, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
nnSpeech: Speaker-Guided Conditional Variational Autoencoder for Zero-shot Multi-speaker Text-to-Speech. CoRR abs/2202.10712 (2022) - [i154]Tong Ye, Shijing Si, Jianzong Wang, Rui Wang, Ning Cheng, Jing Xiao:
VU-BERT: A Unified framework for Visual Dialog. CoRR abs/2202.10787 (2022) - [i153]Qiqi Wang, Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
DRVC: A Framework of Any-to-Any Voice Conversion with Self-Supervised Learning. CoRR abs/2202.10976 (2022) - [i152]Chendong Zhao, Jianzong Wang, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
r-G2P: Evaluating and Enhancing Robustness of Grapheme to Phoneme Conversion by Controlled noise introducing and Contextual information incorporation. CoRR abs/2202.11194 (2022) - [i151]Shijing Si, Jianzong Wang, Junqing Peng, Jing Xiao:
Towards Speaker Age Estimation with Label Distribution Learning. CoRR abs/2202.11424 (2022) - [i150]Yong Zhang, Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Self-Attention for Incomplete Utterance Rewriting. CoRR abs/2202.12160 (2022) - [i149]Nick J. C. Wang, Shaojun Wang, Jing Xiao:
A Study of Different Ways to Use The Conformer Model For Spoken Language Understanding. CoRR abs/2204.03879 (2022) - [i148]Nick J. C. Wang, Zongfeng Quan, Shaojun Wang, Jing Xiao:
Adding Connectionist Temporal Summarization into Conformer to Improve Its Decoder Efficiency For Speech Recognition. CoRR abs/2204.03889 (2022) - [i147]Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison:
Localized Adversarial Domain Generalization. CoRR abs/2205.04114 (2022) - [i146]Shuhan Qi, Shuhao Zhang, Xiaohan Hou, Jiajia Zhang, Xuan Wang, Jing Xiao:
Efficient Distributed Framework for Collaborative Multi-Agent Reinforcement Learning. CoRR abs/2205.05248 (2022) - [i145]Chendong Zhao, Jianzong Wang, Leilai Li, Xiaoyang Qu, Jing Xiao:
Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection. CoRR abs/2205.11738 (2022) - [i144]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Singer Identification for Metaverse with Timbral and Middle-Level Perceptual Features. CoRR abs/2205.11817 (2022) - [i143]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MetaSID: Singer Identification with Domain Adaptation for Metaverse. CoRR abs/2205.11821 (2022) - [i142]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
TDASS: Target Domain Adaptation Speech Synthesis Framework for Multi-speaker Low-Resource TTS. CoRR abs/2205.11824 (2022) - [i141]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
SUSing: SU-net for Singing Voice Synthesis. CoRR abs/2205.11841 (2022) - [i140]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Improving Human Image Synthesis with Residual Fast Fourier Transformation and Wasserstein Distance. CoRR abs/2205.12022 (2022) - [i139]Jianhan Wu, Shijing Si, Jianzong Wang, Jing Xiao:
Augmentation-induced Consistency Regularization for Classification. CoRR abs/2205.12461 (2022) - [i138]Zhitao Zhu, Shijing Si, Jianzong Wang, Jing Xiao:
Cali3F: Calibrated Fast Fair Federated Recommendation System. CoRR abs/2205.13121 (2022) - [i137]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Wei Tao, Jing Xiao:
QSpeech: Low-Qubit Quantum Speech Application Toolkit. CoRR abs/2205.13221 (2022) - [i136]Nan Zhang, Jianzong Wang, Zhenhou Hong, Chendong Zhao, Xiaoyang Qu, Jing Xiao:
DT-SV: A Transformer-based Time-domain Approach for Speaker Verification. CoRR abs/2205.13249 (2022) - [i135]Zhengyang Li, Shijing Si, Jianzong Wang, Jing Xiao:
Federated Split BERT for Heterogeneous Text Classification. CoRR abs/2205.13299 (2022) - [i134]Shijing Si, Jianzong Wang, Ruiyi Zhang, Qinliang Su, Jing Xiao:
Federated Non-negative Matrix Factorization for Short Texts Topic Modeling with Mutual Information. CoRR abs/2205.13300 (2022) - [i133]Jianzong Wang, Shijing Si, Zhitao Zhu, Xiaoyang Qu, Zhenhou Hong, Jing Xiao:
Leveraging Causal Inference for Explainable Automatic Program Repair. CoRR abs/2205.13342 (2022) - [i132]Yaqi Sun, Shijing Si, Jianzong Wang, Yuhan Dong, Zhitao Zhu, Jing Xiao:
A Fair Federated Learning Framework With Reinforcement Learning. CoRR abs/2205.13415 (2022) - [i131]Jian Luo, Jianzong Wang, Ning Cheng, Zhenpeng Zheng, Jing Xiao:
Adaptive Activation Network For Low Resource Multilingual Speech Recognition. CoRR abs/2205.14326 (2022) - [i130]Jian Luo, Jianzong Wang, Ning Cheng, Haobin Tang, Jing Xiao:
Speech Augmentation Based Unsupervised Learning for Keyword Spotting. CoRR abs/2205.14329 (2022) - [i129]Yanxin Song, Jianzong Wang, Tianbo Wu, Zhangcheng Huang, Jing Xiao:
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning. CoRR abs/2205.14643 (2022) - [i128]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. CoRR abs/2206.02978 (2022) - [i127]Yeqing Qiu, Chenyu Huang, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy. CoRR abs/2206.03492 (2022) - [i126]Tong Ye, Shijing Si, Jianzong Wang, Ning Cheng, Jing Xiao:
Uncertainty Calibration for Deep Audio Classifiers. CoRR abs/2206.13071 (2022) - [i125]Zuheng Kang, Junqing Peng, Jianzong Wang, Jing Xiao:
SpeechEQ: Speech Emotion Recognition based on Multi-scale Unified Datasets and Multitask Learning. CoRR abs/2206.13101 (2022) - [i124]Jian Luo, Jianzong Wang, Ning Cheng, Edward Xiao, Xulong Zhang, Jing Xiao:
Tiny-Sepformer: A Tiny Time-Domain Transformer Network for Speech Separation. CoRR abs/2206.13689 (2022) - [i123]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Zhen Zeng, Edward Xiao, Jing Xiao:
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training. CoRR abs/2208.04035 (2022) - [i122]Zhitao Zhu, Shijing Si, Jianzong Wang, Yaodong Yang, Jing Xiao:
Debias the Black-box: A Fair Ranking Framework via Knowledge Distillation. CoRR abs/2208.11628 (2022) - [i121]Youbao Tang, Ning Zhang, Yirui Wang, Shenghua He, Mei Han, Jing Xiao, Ruei-Sung Lin:
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers. CoRR abs/2208.13113 (2022) - [i120]Shijing Si, Jianzong Wang, Xulong Zhang, Xiaoyang Qu, Ning Cheng, Jing Xiao:
Boosting Star-GANs for Voice Conversion with Contrastive Discriminator. CoRR abs/2209.10088 (2022) - [i119]Denghao Li, Yuqiao Zeng, Jianzong Wang, Lingwei Kong, Zhangcheng Huang, Ning Cheng, Xiaoyang Qu, Jing Xiao:
Blur the Linguistic Boundary: Interpreting Chinese Buddhist Sutra in English via Neural Machine Translation. CoRR abs/2209.15164 (2022) - [i118]Chendong Zhao, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition. CoRR abs/2209.15176 (2022) - [i117]Wen Wang, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery. CoRR abs/2209.15181 (2022) - [i116]Zihao Cao, Jianzong Wang, Shijing Si, Zhangcheng Huang, Jing Xiao:
Machine Unlearning Method Based On Projection Residual. CoRR abs/2209.15276 (2022) - [i115]Zijian Zhang, Chang Shu, Ya Xiao, Yuan Shen, Di Zhu, Jing Xiao, Youxin Chen, Jey Han Lau, Qian Zhang, Zheng Lu:
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective. CoRR abs/2210.02206 (2022) - [i114]Jianhan Wu, Jianzong Wang, Shijing Si, Xiaoyang Qu, Jing Xiao:
Pose Guided Human Image Synthesis with Partially Decoupled GAN. CoRR abs/2210.03627 (2022) - [i113]Aolan Sun, Xulong Zhang, Tiandong Ling, Jianzong Wang, Ning Cheng, Jing Xiao:
Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar. CoRR abs/2210.06877 (2022) - [i112]Chendong Zhao, Jianzong Wang, Xiaoyang Qu, Haoqian Wang, Jing Xiao:
Learning Invariant Representation and Risk Minimized for Unsupervised Accent Domain Adaptation. CoRR abs/2210.08182 (2022) - [i111]Zuheng Kang, Jianzong Wang, Junqing Peng, Jing Xiao:
SVLDL: Improved Speaker Age Estimation Using Selective Variance Label Distribution Learning. CoRR abs/2210.09524 (2022) - [i110]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Adapitch: Adaption Multi-Speaker Text-to-Speech Conditioned on Pitch Disentangling with Untranscribed Data. CoRR abs/2210.13803 (2022) - [i109]Xulong Zhang, Jianzong Wang, Ning Cheng, Kexin Zhu, Jing Xiao:
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach. CoRR abs/2210.13805 (2022) - [i108]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
MetaSpeech: Speech Effects Switch Along with Environment for Metaverse. CoRR abs/2210.13811 (2022) - [i107]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Semi-Supervised Learning Based on Reference Model for Low-resource TTS. CoRR abs/2210.14723 (2022) - [i106]Xulong Zhang, Jianzong Wang, Ning Cheng, Jing Xiao:
Improving Imbalanced Text Classification with Dynamic Curriculum Learning. CoRR abs/2210.14724 (2022) - [i105]Xulong Zhang, Jianzong Wang, Ning Cheng, Mengyuan Zhao, Zhiyong Zhang, Jing Xiao:
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition. CoRR abs/2210.14725 (2022) - 2021
- [j20]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis. Medical Image Anal. 67: 101839 (2021) - [j19]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
DeepTarget: Gross tumor and clinical target volume segmentation in esophageal cancer radiotherapy. Medical Image Anal. 68: 101909 (2021) - [j18]Jiawen Yao, Yu Shi, Kai Cao, Le Lu, Jianping Lu, Qike Song, Gang Jin, Jing Xiao, Yang Hou, Ling Zhang:
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT imaging and tumor-vascular contact parsing. Medical Image Anal. 73: 102150 (2021) - [j17]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Yuxing Tang, Xiaohui Lin, Rushan Ouyang, Mingxiang Wu, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Peng Chang, Jie Ma:
MommiNet-v2: Mammographic multi-view mass identification networks. Medical Image Anal. 73: 102204 (2021) - [j16]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao:
Domain Fingerprints for No-Reference Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1332-1341 (2021) - [j15]Jie Xing, Chao Chen, Qinyang Lu, Xun Cai, Aijun Yu, Yi Xu, Xiaoling Xia, Yue Sun, Jing Xiao, Lingyun Huang:
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. IEEE J. Biomed. Health Informatics 25(6): 2058-2070 (2021) - [j14]Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. IEEE Trans. Medical Imaging 40(1): 59-70 (2021) - [j13]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-Shot Segmentation of Anatomical Structures. IEEE Trans. Medical Imaging 40(10): 2672-2684 (2021) - [j12]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT. IEEE Trans. Medical Imaging 40(10): 2759-2770 (2021) - [c191]Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. AAAI 2021: 724-732 - [c190]Zongcheng Ji, Tian Xia, Mei Han, Jing Xiao:
A Neural Transition-based Joint Model for Disease Named Entity Recognition and Normalization. ACL/IJCNLP (1) 2021: 2819-2827 - [c189]Li Huang, Junjie Li, Weiwei Jiang, Zhiyu Zhang, Minchuan Chen, Shaojun Wang, Jing Xiao:
PHMOSpell: Phonological and Morphological Knowledge Guided Chinese Spelling Check. ACL/IJCNLP (1) 2021: 5958-5967 - [c188]Jiang Qian, Yuren Wu, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Understanding Gradient Clipping In Incremental Gradient Methods. AISTATS 2021: 1504-1512 - [c187]Fengying Yu, Jianzong Wang, Dewei Tao, Ning Cheng, Jing Xiao:
Self-supervised Learning for Semantic Sentence Matching with Dense Transformer Inference Network. APWeb/WAIM (1) 2021: 258-272 - [c186]Chao Sun, Jianzong Wang, Fengying Yu, Ning Cheng, Jing Xiao:
A Novel Capsule Aggregation Framework for Natural Language Inference. APWeb/WAIM (1) 2021: 300-315 - [c185]Xulong Zhang, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao:
Cyclegean: Cycle Generative Enhanced Adversarial Network for Voice Conversion. ASRU 2021: 930-937 - [c184]Huaizhen Tang, Xulong Zhang, Jianzong Wang, Ning Cheng, Zhen Zeng, Edward Xiao, Jing Xiao:
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training. ASRU 2021: 938-945 - [c183]Aolan Sun, Jianzong Wang, Ning Cheng, Methawee Tantrawenith, Zhiyong Wu, Helen Meng, Edward Xiao, Jing Xiao:
Reconstructing Dual Learning for Neural Voice Conversion Using Relatively Few Samples. ASRU 2021: 946-953 - [c182]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Chendong Zhao, Jie Liu, Jing Xiao:
Neural Architecture Search as Self-assessor in Semi-supervised Learning. Big Data (CCF) 2021: 95-107 - [c181]Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang:
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. CVPR 2021: 3855-3864 - [c180]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao:
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. CVPR 2021: 5280-5288 - [c179]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CVPR 2021: 13743-13752 - [c178]Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu:
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. CVPR 2021: 15159-15169 - [c177]Liying Zheng, Yue Deng, Weishun Song, Liang Xu, Jing Xiao:
An Alignment-Agnostic Model for Chinese Text Error Correction. EMNLP (Findings) 2021: 321-326 - [c176]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. EMNLP (Findings) 2021: 2306-2315 - [c175]Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition. ICASSP 2021: 910-914 - [c174]Hao Pan, Zhongdi Chao, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Network Pruning Using Linear Dependency Analysis on Feature Maps. ICASSP 2021: 1720-1724 - [c173]Jie Zhao, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Efficient Client Contribution Evaluation for Horizontal Federated Learning. ICASSP 2021: 3060-3064 - [c172]Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao:
A Quantitative Metric for Privacy Leakage in Federated Learning. ICASSP 2021: 3065-3069 - [c171]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. ICASSP 2021: 3340-3344 - [c170]Yulong Chen, Jianping Zhao, Weiqi Wang, Ming Fang, Haimei Kang, Lu Wang, Tao Wei, Jun Ma, Shaojun Wang, Jing Xiao:
SEQ-CPC : Sequential Contrastive Predictive Coding for Automatic Speech Recognition. ICASSP 2021: 3880-3884 - [c169]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao:
CASS-NAT: CTC Alignment-Based Single Step Non-Autoregressive Transformer for Speech Recognition. ICASSP 2021: 5889-5893 - [c168]Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
LVCNet: Efficient Condition-Dependent Modeling Network for Waveform Generation. ICASSP 2021: 6054-6058 - [c167]Shuang Liang, Chenfeng Miao, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Unsupervised Learning for Multi-Style Speech Synthesis with Limited Data. ICASSP 2021: 6583-6587 - [c166]Weiwei Jiang, Junjie Li, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Improving Neural Text Normalization with Partial Parameter Generator and Pointer-Generator Network. ICASSP 2021: 7583-7587 - [c165]Yanfei Hui, Jianzong Wang, Ning Cheng, Fengying Yu, Tianbo Wu, Jing Xiao:
Joint Intent Detection and Slot Filling Based on Continual Learning Model. ICASSP 2021: 7643-7647 - [c164]Kai Lei, Hao Ye, Yuzhi Liang, Jing Xiao, Peiwu Chen:
Towards a Translation-Based Method for Dynamic Heterogeneous Network Embedding. ICC 2021: 1-6 - [c163]Jian Luo, Jianzong Wang, Ning Cheng, Edward Xiao, Jing Xiao, Georg Kucsko, Patrick K. O'Neill, Jagadeesh Balam, Slyne Deng, Adriana Flores, Boris Ginsburg, Jocelyn Huang, Oleksii Kuchaiev, Vitaly Lavrukhin, Jason Li:
Cross-Language Transfer Learning and Domain Adaptation for End-to-End Automatic Speech Recognition. ICME 2021: 1-6 - [c162]Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. ICML 2021: 7700-7709 - [c161]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Xinghua Zhu, Jie Liu, Jing Xiao:
Quantum Convolutional Neural Network on Protein Distance Prediction. IJCNN 2021: 1-8 - [c160]Zhenhou Hong, Jianzong Wang, Wenqi Wei, Jie Liu, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
When Hearing the Voice, Who Will Come to Your Mind. IJCNN 2021: 1-6 - [c159]Leilai Li, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Communication-Memory-Efficient Decentralized Learning For Audio Representation. IJCNN 2021: 1-8 - [c158]Guanyu Lin, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Anomaly Removal for Vehicle Energy Consumption in Federated Learning. IJCNN 2021: 1-8 - [c157]Jie Liu, Jianzong Wang, Xiaoyang Qu, Bo Chen, Zihang Wei, Jing Xiao:
Automatic Joint Optimization of Algorithm-Level Compression and Compiler-Based Acceleration with Reinforcement Learning for DNN in Edge Devices. IJCNN 2021: 1-8 - [c156]Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Loss Prediction: End-to-End Active Learning Approach For Speech Recognition. IJCNN 2021: 1-7 - [c155]Xiaoyang Qu, Jianzong Wang, Jie Liu, Jing Xiao:
Enhancing Neural Architecture Search by Upgrading Weak Components. IJCNN 2021: 1-8 - [c154]Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Contrastive Learning for improving End-to-end Speaker Verification. IJCNN 2021: 1-7 - [c153]Anshun Xue, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Diversified Point Cloud Classification Using Personalized Federated Learning. IJCNN 2021: 1-8 - [c152]Mengqiu Yao, Liqiang Song, Ye Bi, Wei Wang, Kun Deng, Jianming Wang, Jing Xiao, Xiaoyun Lin, Zhaojun Gui:
ADKGN: An Attentive Dynamic Knowledge Graph Network for Sequential Recommendation. IJCNN 2021: 1-8 - [c151]Fengying Yu, Dewei Tao, Jianzong Wang, Yanfei Hui, Ning Cheng, Jing Xiao:
Semantic Extraction for Sentence Representation via Reinforcement Learning. IJCNN 2021: 1-8 - [c150]Nan Zhang, Jianzong Wang, Wenqi Wei, Xiaoyang Qu, Ning Cheng, Jing Xiao:
CACnet: Cube Attentional CNN for Automatic Speech Recognition. IJCNN 2021: 1-7 - [c149]Junyi Peng, Xiaoyang Qu, Jianzong Wang, Rongzhi Gu, Jing Xiao, Lukás Burget, Jan Cernocký:
ICSpk: Interpretable Complex Speaker Embedding Extractor from Raw Waveform. Interspeech 2021: 511-515 - [c148]Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao:
Variational Information Bottleneck for Effective Low-Resource Audio Classification. Interspeech 2021: 591-595 - [c147]Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation. Interspeech 2021: 1169-1173 - [c146]Wei Chu, Peng Chang, Jing Xiao:
Extending Pronunciation Dictionary with Automatically Detected Word Mispronunciations to Improve PAII's System for Interspeech 2021 Non-Native Child English Close Track ASR Challenge. Interspeech 2021: 1319-1323 - [c145]Zhengchen Liu, Chenfeng Miao, Qingying Zhu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientSing: A Chinese Singing Voice Synthesis System Using Duration-Free Acoustic Model and HiFi-GAN Vocoder. Interspeech 2021: 1609-1613 - [c144]Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao:
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. Interspeech 2021: 1629-1633 - [c143]Junyi Peng, Xiaoyang Qu, Rongzhi Gu, Jianzong Wang, Jing Xiao, Lukás Burget, Jan Cernocký:
Effective Phase Encoding for End-To-End Speaker Verification. Interspeech 2021: 2366-2370 - [c142]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. Interspeech 2021: 3590-3594 - [c141]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan:
An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition. Interspeech 2021: 3715-3719 - [c140]Junjie Li, Zhiyu Zhang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Improving Polyphone Disambiguation for Mandarin Chinese by Combining Mix-Pooling Strategy and Window-Based Attention. Interspeech 2021: 4104-4108 - [c139]Yirui Wang, Kang Zheng, Chi-Tung Cheng, Xiao-Yun Zhou, Zhilin Zheng, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-Rays. IPMI 2021: 599-610 - [c138]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. MICCAI (5) 2021: 3-12 - [c137]Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. MICCAI (5) 2021: 33-42 - [c136]Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. PRIME@MICCAI 2021: 47-58 - [c135]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. MICCAI (4) 2021: 87-97 - [c134]Yanbo Zhang, Yuxing Tang, Zhenjie Cao, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
BI-RADS Classification of Calcification on Mammograms. MICCAI (7) 2021: 119-128 - [c133]Zhenjie Cao, Zhicheng Yang, Yuxing Tang, Yanbo Zhang, Mei Han, Jing Xiao, Jie Ma, Peng Chang:
Supervised Contrastive Pre-training forMammographic Triage Screening Models. MICCAI (7) 2021: 129-139 - [c132]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. PRIME@MICCAI 2021: 138-146 - [c131]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. DGM4MICCAI/DALI@MICCAI 2021: 145-153 - [c130]Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang:
Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. MICCAI (5) 2021: 259-269 - [c129]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. MICCAI (5) 2021: 270-280 - [c128]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. MLMI@MICCAI 2021: 296-305 - [c127]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. MICCAI (2) 2021: 341-351 - [c126]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. MICCAI (2) 2021: 515-525 - [c125]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. MICCAI (7) 2021: 764-774 - [c124]Aozhi Liu, Lipei Zhang, Yaqi Mei, Baoqiang Han, Zifeng Cai, Zhaohua Zhu, Jing Xiao:
Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. MMPT@ICMR 2021: 23-27 - [c123]Xuan Zhou, Xiao Zhang, Chenyang Tao, Junya Chen, Bing Xu, Wei Wang, Jing Xiao:
Multi-Grained Knowledge Distillation for Named Entity Recognition. NAACL-HLT 2021: 5704-5716 - [c122]Zhitao Li, Jianzong Wang, Ning Cheng, Jing Xiao:
Semantic Embedding Graph Convolutional Networks for Multi-label Video Segment Classification. PAAP 2021: 146-151 - [c121]Lingwei Kong, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
A Competition of Shape and Texture Bias by Multi-view Image Representation. PRCV (4) 2021: 140-151 - [c120]Ye Wang, Yanmeng Wang, Haijun Zhu, Bo Zeng, Zhenghong Hao, Shaojun Wang, Jing Xiao:
PINGAN Omini-Sinitic at SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 820-826 - [c119]Liqiang Song, Mengqiu Yao, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao, Juan Wen, Xin Yu:
LS-DST: Long and Sparse Dialogue State Tracking with Smart History Collector in Insurance Marketing. SIGIR 2021: 1960-1964 - [c118]Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao:
Multi-Quartznet: Multi-Resolution Convolution for Speech Recognition with Multi-Layer Feature Fusion. SLT 2021: 82-88 - [c117]Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Lingwei Kong, Jing Xiao:
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis. SLT 2021: 438-445 - [c116]Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
MelGlow: Efficient Waveform Generative Network Based On Location-Variable Convolution. SLT 2021: 485-491 - [c115]Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao:
End-To-End Silent Speech Recognition with Acoustic Sensing. SLT 2021: 606-612 - [c114]Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Denghao Li, Jing Xiao:
Modeling Without Sharing Privacy: Federated Neural Machine Translation. WISE (1) 2021: 216-223 - [c113]Jianzong Wang, Shijing Si, Zhenhou Hong, Xiaoyang Qu, Xinghua Zhu, Jing Xiao:
Case Study of Few-Shot Learning in Text Recognition Models. WISE (2) 2021: 394-401 - [i104]Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan:
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection. CoRR abs/2101.02908 (2021) - [i103]Yanfei Hui, Jianzong Wang, Ning Cheng, Fengying Yu, Tianbo Wu, Jing Xiao:
Joint Intent Detection And Slot Filling Based on Continual Learning Model. CoRR abs/2102.10905 (2021) - [i102]Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Unidirectional Memory-Self-Attention Transducer for Online Speech Recognition. CoRR abs/2102.11594 (2021) - [i101]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Enhancing Data-Free Adversarial Distillation with Activation Regularization and Virtual Interpolation. CoRR abs/2102.11638 (2021) - [i100]Jie Zhao, Xinghua Zhu, Jianzong Wang, Jing Xiao:
Efficient Client Contribution Evaluation for Horizontal Federated Learning. CoRR abs/2102.13314 (2021) - [i99]Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao:
A Quantitative Metric for Privacy Leakage in Federated Learning. CoRR abs/2102.13472 (2021) - [i98]Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu:
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. CoRR abs/2103.05170 (2021) - [i97]Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-Supervised Detection from Multi-Sequence Data. CoRR abs/2103.12972 (2021) - [i96]Kang Zheng, Yirui Wang, Xiaoyun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Semi-Supervised Learning for Bone Mineral Density Estimation in Hip X-ray Images. CoRR abs/2103.13482 (2021) - [i95]Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao:
Opportunistic Screening of Osteoporosis Using Plain Film Chest X-ray. CoRR abs/2104.01734 (2021) - [i94]Ashwin Raju, Shun Miao, Chi-Tung Cheng, Le Lu, Mei Han, Jing Xiao, Chien-Hung Liao, Junzhou Huang, Adam P. Harrison:
Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. CoRR abs/2104.02847 (2021) - [i93]Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison:
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. CoRR abs/2104.05570 (2021) - [i92]Liying Zheng, Yue Deng, Weishun Song, Liang Xu, Jing Xiao:
An Alignment-Agnostic Model for Chinese Text Error Correction. CoRR abs/2104.07190 (2021) - [i91]Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao:
Scalable Semi-supervised Landmark Localization for X-ray Images using Few-shot Deep Adaptive Graph. CoRR abs/2104.14629 (2021) - [i90]Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. CoRR abs/2105.01218 (2021) - [i89]Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu:
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection. CoRR abs/2105.01828 (2021) - [i88]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan:
An Improved Single Step Non-autoregressive Transformer for Automatic Speech Recognition. CoRR abs/2106.09885 (2021) - [i87]Jian Luo, Jianzong Wang, Ning Cheng, Jing Xiao:
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation. CoRR abs/2107.04227 (2021) - [i86]Shijing Si, Jianzong Wang, Huiming Sun, Jianhan Wu, Chuanyao Zhang, Xiaoyang Qu, Ning Cheng, Lei Chen, Jing Xiao:
Variational Information Bottleneck for Effective Low-resource Audio Classification. CoRR abs/2107.04803 (2021) - [i85]Shijing Si, Jianzong Wang, Xiaoyang Qu, Ning Cheng, Wenqi Wei, Xinghua Zhu, Jing Xiao:
Speech2Video: Cross-Modal Distillation for Speech to Video Generation. CoRR abs/2107.04806 (2021) - [i84]Zhenhou Hong, Jianzong Wang, Xiaoyang Qu, Jie Liu, Chendong Zhao, Jing Xiao:
Federated Learning with Dynamic Transformer for Text to Speech. CoRR abs/2107.08795 (2021) - [i83]Chi-Tung Cheng, Jinzheng Cai, Wei Teng, Youjing Zheng, Yuting Huang, Yu-Chao Wang, Chien-Wei Peng, Youbao Tang, Wei-Chen Lee, Ta-Sen Yeh, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening. CoRR abs/2108.07492 (2021) - [i82]Hongtao Ruan, Liying Zheng, Peixian Hu, Liang Xu, Jing Xiao:
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations. CoRR abs/2109.05233 (2021) - [i81]Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Liu, Ling Peng, Senxiang Yan, Dakai Jin:
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search. CoRR abs/2109.09271 (2021) - [i80]Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin:
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings. CoRR abs/2109.11572 (2021) - [i79]Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen, Chen-Yu Chou, Danni Chen, Jiaze Yu, Yuzhen Chen, Feiran Jiao, Yi Xin, Lingyun Huang, Guotong Xie, Jing Xiao, Le Lu, Senxiang Yan, Dakai Jin, Tsung-Ying Ho:
Multi-institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume using planning-CT and FDG-PETCT. CoRR abs/2110.05280 (2021) - [i78]Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison:
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning. CoRR abs/2110.05664 (2021) - [i77]Peng Wang, Yuhsuan Wu, Bolin Lai, Xiaoyun Zhou, Le Lu, Wendi Liu, Huabang Zhou, Lingyun Huang, Jing Xiao, Adam P. Harrison, Ningyang Jia, Heping Hu:
A deep learning pipeline for localization, differentiation, and uncertainty estimation of liver lesions using multi-phasic and multi-sequence MRI. CoRR abs/2110.08817 (2021) - [i76]Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu, Gong Zhang, Mengyuan Mao, Xiaohua Chen, Zhongjie Lu, Wenxiang Li, Yuzhen Chen, Lingyun Huang, Jing Xiao, Adam P. Harrison, Le Lu, Chien-Yu Lin, Dakai Jin, Tsung-Ying Ho:
Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study. CoRR abs/2111.01544 (2021) - [i75]Kang Zheng, Yirui Wang, Chen-I Hsieh, Le Lu, Jing Xiao, Chang-Fu Kuo, Shun Miao:
Coherence Learning using Keypoint-based Pooling Network for Accurately Assessing Radiographic Knee Osteoarthritis. CoRR abs/2112.09177 (2021) - 2020
- [j11]Prasanna Porwal, Samiksha Pachade, Manesh Kokare, Girish Deshmukh, Jaemin Son, Woong Bae, Lihong Liu, Jianzong Wang, Xinhui Liu, Liangxin Gao, Tianbo Wu, Jing Xiao, Fengyan Wang, Baocai Yin, Yunzhi Wang, Gopichandh Danala, Linsheng He, Yoon Ho Choi, Fabrice Mériaudeau:
IDRiD: Diabetic Retinopathy - Segmentation and Grading Challenge. Medical Image Anal. 59 (2020) - [j10]Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers:
Automated abnormality classification of chest radiographs using deep convolutional neural networks. npj Digit. Medicine 3 (2020) - [c112]Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation. AAAI 2020: 7643-7650 - [c111]Wenqi Wei, Jianzong Wang, Ning Cheng, Yuanxu Chen, Bao Zhou, Jing Xiao:
Epidemic Guard: A COVID-19 Detection System for Elderly People. APWeb/WAIM (2) 2020: 545-550 - [c110]Anxun He, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
FedSmart: An Auto Updating Federated Learning Optimization Mechanism. APWeb/WAIM (1) 2020: 716-724 - [c109]Yanxi Tang, Jianzong Wang, Xiaoyang Qu, Nan Zhang, Jing Xiao:
D-GHNAS for Joint Intent Classification and Slot Filling. APWeb/WAIM (1) 2020: 794-807 - [c108]Nan Zhang, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
Image Compressed Sensing Using Neural Architecture Search. Big Data (CCF) 2020: 18-30 - [c107]Zelong Yan, Jianzong Wang, Ning Cheng, Tianbo Wu, Jing Xiao:
Chinese Punctuation Prediction with Adaptive Attention and Dependency Tree. CCKS 2020: 3-14 - [c106]Liqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DREAM: A Dynamic Relation-Aware Model for Social Recommendation. CIKM 2020: 2225-2228 - [c105]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. CVPR 2020: 4222-4231 - [c104]Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao:
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. ECCV (23) 2020: 239-255 - [c103]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. ECCV (13) 2020: 257-274 - [c102]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. ECCV (9) 2020: 266-283 - [c101]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. ECCV (23) 2020: 448-465 - [c100]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Jing Xiao:
Empirical Studies of Institutional Federated Learning For Natural Language Processing. EMNLP (Findings) 2020: 625-634 - [c99]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Peng Chang, Shibin Wu, Lingyun Huang, Wei Xu, Mei Han, Jing Xiao, Mingxiang Wu, Jie Ma:
MABEL: An AI-Powered Mammographic Breast Lesion Diagnostic System. HealthCom 2020: 1-7 - [c98]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
ParallelNAS: A Parallel and Distributed System for Neural Architecture Search. HPCC/DSS/SmartCity 2020: 247-254 - [c97]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Quantization and Knowledge Distillation for Efficient Federated Learning on Edge Devices. HPCC/DSS/SmartCity 2020: 967-972 - [c96]Nan Zhang, Jianzong Wang, Jian Yang, Xiaoyang Qu, Jing Xiao:
Multi-objective Cuckoo Algorithm for Mobile Devices Network Architecture Search. ICANN (1) 2020: 312-324 - [c95]Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao:
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder. ICASSP 2020: 6024-6028 - [c94]Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
Aligntts: Efficient Feed-Forward Text-to-Speech System Without Explicit Alignment. ICASSP 2020: 6714-6718 - [c93]Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao:
GraphTTS: Graph-to-Sequence Modelling in Neural Text-to-Speech. ICASSP 2020: 6719-6723 - [c92]Chenfeng Miao, Shuang Liang, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Flow-TTS: A Non-Autoregressive Network for Text to Speech Based on Flow. ICASSP 2020: 7209-7213 - [c91]Linjie Chen, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
An Approach for Neural Machine Translation with Graph Attention Network. ICCPR 2020: 472-478 - [c90]Lingwei Kong, Hengtao Tao, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
Network Coding for Federated Learning Systems. ICONIP (2) 2020: 546-557 - [c89]Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor:
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. ICPR 2020: 9333-9339 - [c88]Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering. IJCAI 2020: 3687-3693 - [c87]Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao:
A Real-Time Robot-Based Auxiliary System for Risk Evaluation of COVID-19 Infection. INTERSPEECH 2020: 701-705 - [c86]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. INTERSPEECH 2020: 961-965 - [c85]Xueli Jia, Jianzong Wang, Zhiyong Zhang, Ning Cheng, Jing Xiao:
Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding. INTERSPEECH 2020: 1555-1559 - [c84]Yuexin Cao, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
Nonparallel Emotional Speech Conversion Using VAE-GAN. INTERSPEECH 2020: 3406-3410 - [c83]Zhenpeng Zheng, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao:
MLNET: An Adaptive Multiple Receptive-Field Attention Neural Network for Voice Activity Detection. INTERSPEECH 2020: 3695-3699 - [c82]Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit. INTERSPEECH 2020: 4422-4426 - [c81]Chao Zhang, Junjie Cheng, Yanmei Gu, Huacan Wang, Jun Ma, Shaojun Wang, Jing Xiao:
Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge. INTERSPEECH 2020: 4596-4600 - [c80]Minchuan Chen, Weijian Hou, Jun Ma, Shaojun Wang, Jing Xiao:
Non-Parallel Voice Conversion with Fewer Labeled Data by Conditional Generative Adversarial Networks. INTERSPEECH 2020: 4716-4720 - [c79]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. ISBI 2020: 203-206 - [c78]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-supervised lesion segmentation on CT scans using co-segmentation. Computer-Aided Diagnosis 2020 - [c77]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone suppression on chest radiographs with adversarial learning. Computer-Aided Diagnosis 2020 - [c76]Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison:
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. MICCAI (4) 2020: 3-13 - [c75]Zhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang:
MommiNet: Mammographic Multi-view Mass Identification Networks. MICCAI (6) 2020: 200-210 - [c74]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. MICCAI (2) 2020: 272-282 - [c73]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. MICCAI (1) 2020: 457-467 - [c72]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. MICCAI (4) 2020: 491-500 - [c71]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. MICCAI (4) 2020: 512-522 - [c70]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. MICCAI (4) 2020: 573-583 - [c69]Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. MICCAI (3) 2020: 606-615 - [c68]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. MICCAI (1) 2020: 678-688 - [c67]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. MICCAI (7) 2020: 753-762 - [c66]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. MICCAI (7) 2020: 772-782 - [c65]Aozhi Liu, Yaqi Mei, Qingying Zhu, Zhaohua Zhu, Zifeng Cai, Zongyang Xie, Manzhi Zhang, Shuang Zhang, Jing Xiao:
Lyrics2Song: An Automatic Song Generator for Lyrics Input. MIPR 2020: 388-391 - [c64]Zeyuan Li, Jianzong Wang, Xiaoyang Qu, Jing Xiao:
3D Point Cloud Segmentation for Complex Structure Based on PointSIFT. PRCV (1) 2020: 660-670 - [c63]Yan Wang, Jiayu Zhang, Jun Ma, Shaojun Wang, Jing Xiao:
Contextualized Emotion Recognition in Conversation as Sequence Tagging. SIGdial 2020: 186-195 - [c62]Minghao Li, Yuchuan Gou, Bo Gong, Jing Xiao, Mei Han:
GAN-based AI Drawing Board for Image Generation and Colorization. SIGGRAPH Posters 2020: 45:1-45:2 - [c61]Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain. SIGIR 2020: 1661-1664 - [c60]Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users. SIGIR 2020: 2211-2220 - [i74]Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu:
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale. CoRR abs/2001.07776 (2020) - [i73]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly-Supervised Lesion Segmentation on CT Scans using Co-Segmentation. CoRR abs/2001.08590 (2020) - [i72]Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-segmentation on CT Scans. CoRR abs/2001.09174 (2020) - [i71]Jia Liang, Yuxing Tang, Youbao Tang, Jing Xiao, Ronald M. Summers:
Bone Suppression on Chest Radiographs With Adversarial Learning. CoRR abs/2002.03073 (2020) - [i70]Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Jing Xiao:
GraphTTS: graph-to-sequence modelling in neural text-to-speech. CoRR abs/2003.01924 (2020) - [i69]Zhen Zeng, Jianzong Wang, Ning Cheng, Tian Xia, Jing Xiao:
AlignTTS: Efficient Feed-Forward Text-to-Speech System without Explicit Alignment. CoRR abs/2003.01950 (2020) - [i68]Chen Feng, Jianzong Wang, Tongxu Li, Junqing Peng, Jing Xiao:
A Robust Speaker Clustering Method Based on Discrete Tied Variational Autoencoder. CoRR abs/2003.01955 (2020) - [i67]Zan Shen, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao:
BS-NAS: Broadening-and-Shrinking One-Shot NAS with Searchable Numbers of Channels. CoRR abs/2003.09821 (2020) - [i66]Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Structured Landmark Detection via Topology-Adapting Deep Graph Learning. CoRR abs/2004.08190 (2020) - [i65]Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Chien-Yu Lin, Le Lu:
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search. CoRR abs/2004.08426 (2020) - [i64]Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison:
JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans. CoRR abs/2005.12209 (2020) - [i63]Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. CoRR abs/2005.13201 (2020) - [i62]Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu:
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification. CoRR abs/2005.13705 (2020) - [i61]Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu:
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets. CoRR abs/2005.13753 (2020) - [i60]Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. CoRR abs/2006.15691 (2020) - [i59]Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Cheng, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao:
Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images. CoRR abs/2007.01464 (2020) - [i58]Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Learning to Segment Anatomical Structures Accurately from One Exemplar. CoRR abs/2007.03052 (2020) - [i57]Youbao Tang, Yuxing Tang, Yingying Zhu, Jing Xiao, Ronald M. Summers:
E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans. CoRR abs/2007.09791 (2020) - [i56]Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers:
One Click Lesion RECIST Measurement and Segmentation on CT Scans. CoRR abs/2007.11087 (2020) - [i55]Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain. CoRR abs/2007.13316 (2020) - [i54]Ye Bi, Liqiang Song, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users. CoRR abs/2007.15293 (2020) - [i53]Bo Huang, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao:
UBER-GNN: A User-Based Embeddings Recommendation based on Graph Neural Networks. CoRR abs/2008.02546 (2020) - [i52]Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization. CoRR abs/2008.03352 (2020) - [i51]Liqiang Song, Ye Bi, Mengqiu Yao, Zhenyu Wu, Jianming Wang, Jing Xiao:
DREAM: A Dynamic Relational-Aware Model for Social Recommendation. CoRR abs/2008.04579 (2020) - [i50]Zhenpeng Zheng, Jianzong Wang, Ning Cheng, Jian Luo, Jing Xiao:
MLNET: An Adaptive Multiple Receptive-field Attention Neural Network for Voice Activity Detection. CoRR abs/2008.05650 (2020) - [i49]Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
Prosody Learning Mechanism for Speech Synthesis System Without Text Length Limit. CoRR abs/2008.05656 (2020) - [i48]Xueli Jia, Jianzong Wang, Zhiyong Zhang, Ning Cheng, Jing Xiao:
Large-scale Transfer Learning for Low-resource Spoken Language Understanding. CoRR abs/2008.05671 (2020) - [i47]Xiaoyang Qu, Jianzong Wang, Jing Xiao:
Evolutionary Algorithm Enhanced Neural Architecture Search for Text-Independent Speaker Verification. CoRR abs/2008.05695 (2020) - [i46]Wenqi Wei, Jianzong Wang, Jiteng Ma, Ning Cheng, Jing Xiao:
A Real-time Robot-based Auxiliary System for Risk Evaluation of COVID-19 Infection. CoRR abs/2008.07695 (2020) - [i45]Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu:
Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-Institutional Multi-Phase Partially-Annotated CT Scans. CoRR abs/2008.10652 (2020) - [i44]Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang:
DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. CoRR abs/2008.11853 (2020) - [i43]Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu:
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy. CoRR abs/2008.11870 (2020) - [i42]Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin:
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. CoRR abs/2008.13013 (2020) - [i41]Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison:
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression. CoRR abs/2008.13254 (2020) - [i40]Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. CoRR abs/2009.02455 (2020) - [i39]Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu:
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT. CoRR abs/2009.02577 (2020) - [i38]Anxun He, Jianzong Wang, Zhangcheng Huang, Jing Xiao:
FedSmart: An Auto Updating Federated Learning Optimization Mechanism. CoRR abs/2009.07455 (2020) - [i37]Lipei Zhang, Aozhi Liu, Jing Xiao, Paul Taylor:
Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation. CoRR abs/2009.10608 (2020) - [i36]Jinyue Guo, Aozhi Liu, Jing Xiao:
Melody Classification based on Performance Event Vector and BRNN. CoRR abs/2010.07562 (2020) - [i35]Aozhi Liu, Lipei Zhang, Yaqi Mei, Sitong Lian, Maokun Han, Wen Cheng, Yuyu Liu, Zifeng Cai, Zhaohua Zhu, Baoqiang Han, Jing Xiao:
Residual Recurrent CRNN for End-to-End Optical Music Recognition on Monophonic Scores. CoRR abs/2010.13418 (2020) - [i34]Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao:
CASS-NAT: CTC Alignment-based Single Step Non-autoregressive Transformer for Speech Recognition. CoRR abs/2010.14725 (2020) - [i33]Jian Luo, Jianzong Wang, Ning Cheng, Guilin Jiang, Jing Xiao:
End-to-end Silent Speech Recognition with Acoustic Sensing. CoRR abs/2011.11315 (2020) - [i32]Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao:
Contour Transformer Network for One-shot Segmentation of Anatomical Structures. CoRR abs/2012.01480 (2020) - [i31]Zhen Zeng, Jianzong Wang, Ning Cheng, Jing Xiao:
MelGlow: Efficient Waveform Generative Network Based on Location-Variable Convolution. CoRR abs/2012.01684 (2020) - [i30]Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu:
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images. CoRR abs/2012.02383 (2020) - [i29]Aolan Sun, Jianzong Wang, Ning Cheng, Huayi Peng, Zhen Zeng, Lingwei Kong, Jing Xiao:
GraphPB: Graphical Representations of Prosody Boundary in Speech Synthesis. CoRR abs/2012.02626 (2020) - [i28]Chenfeng Miao, Shuang Liang, Zhengchen Liu, Minchuan Chen, Jun Ma, Shaojun Wang, Jing Xiao:
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture. CoRR abs/2012.03500 (2020) - [i27]Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
A New Window Loss Function for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. CoRR abs/2012.04066 (2020) - [i26]Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang:
3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. CoRR abs/2012.04701 (2020) - [i25]Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu:
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. CoRR abs/2012.04872 (2020) - [i24]Bolin Lai, Xiaoyu Bai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison:
Fully-Automated Liver Tumor Localization and Characterization from Multi-Phase MR Volumes Using Key-Slice ROI Parsing: A Physician-Inspired Approach. CoRR abs/2012.06964 (2020) - [i23]Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao:
Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-constrained Optimization. CoRR abs/2012.07947 (2020) - [i22]Yirui Wang, Kang Zheng, Chi-Tung Chang, Xiao-Yun Zhou, Zhilin Zheng, Lingyun Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Shun Miao:
Knowledge Distillation with Adaptive Asymmetric Label Sharpening for Semi-supervised Fracture Detection in Chest X-rays. CoRR abs/2012.15359 (2020)
2010 – 2019
- 2019
- [j9]Yuliang Ma, Ye Yuan, Feida Zhu, Guoren Wang, Jing Xiao, Jianzong Wang:
Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks. J. Comput. Sci. Technol. 34(1): 170-184 (2019) - [c59]Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao:
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators. AISTATS 2019: 3089-3098 - [c58]Mao Kang, Ye Bi, Zhenyu Wu, Jianming Wang, Jing Xiao:
A Heterogeneous Conversational Recommender System for Financial Products. KaRS@CIKM 2019: 26-30 - [c57]Jianzong Wang, Zhangcheng Huang, Lingwei Kong, Jing Xiao, Pengyu Wang, Lu Zhang, Chao Li:
Performance of Training Sparse Deep Neural Networks on GPUs. HPEC 2019: 1-5 - [c56]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Junxiong Guo, Jing Xiao:
On Probability Calibration of Recurrent Text Recognition Network. ICONIP (3) 2019: 425-436 - [c55]Xinghua Zhu, Jianzong Wang, Zhenhou Hong, Tian Xia, Jing Xiao:
Federated Learning of Unsegmented Chinese Text Recognition Model. ICTAI 2019: 1341-1345 - [c54]Mengnan Chen, Minchuan Chen, Shuang Liang, Jun Ma, Lei Chen, Shaojun Wang, Jing Xiao:
Cross-Lingual, Multi-Speaker Text-To-Speech Synthesis Using Neural Speaker Embedding. INTERSPEECH 2019: 2105-2109 - [c53]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier. ISBI 2019: 1358-1361 - [c52]Youbao Tang, Sooyoun Oh, Yuxing Tang, Jing Xiao, Ronald M. Summers:
CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation. Computer-Aided Diagnosis 2019: 109503V - [c51]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Deep adversarial one-class learning for normal and abnormal chest radiograph classification. Computer-Aided Diagnosis 2019: 1095018 - [c50]Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu:
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. DART/MIL3ID@MICCAI 2019: 139-147 - [c49]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. MICCAI (2) 2019: 182-191 - [c48]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays. MICCAI (6) 2019: 431-440 - [c47]Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Weakly Supervised Universal Fracture Detection in Pelvic X-Rays. MICCAI (6) 2019: 459-467 - [c46]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. MICCAI (6) 2019: 603-612 - [c45]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. MIDL 2019: 457-467 - [c44]Aozhi Liu, Jianzong Wang, Junqing Peng, Yiwen Wang, Yaqi Mei, Xiaojing Liang, Zimin Xia, Jing Xiao:
Composer4Everyone: Automatic Music Generation with Audio Motif. MIPR 2019: 502-503 - [c43]Sein Minn, Michel C. Desmarais, Feida Zhu, Jing Xiao, Jianzong Wang:
Dynamic Student Classiffication on Memory Networks for Knowledge Tracing. PAKDD (2) 2019: 163-174 - [c42]Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao:
Audio-Based Music Classification with DenseNet and Data Augmentation. PRICAI (3) 2019: 56-65 - [c41]Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. PRICAI (3) 2019: 257-265 - [c40]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Hierarchical Attention Based Seq2Seq Model for Chinese Lyrics Generation. PRICAI (3) 2019: 279-288 - [c39]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. PRICAI (1) 2019: 314-324 - [i21]Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers:
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining. CoRR abs/1901.06359 (2019) - [i20]Yuxing Tang, Youbao Tang, Mei Han, Jing Xiao, Ronald M. Summers:
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier. CoRR abs/1903.02040 (2019) - [i19]Youbao Tang, Yuxing Tang, Jing Xiao, Ronald M. Summers:
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation. CoRR abs/1904.09229 (2019) - [i18]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Hierarchical Attention Based Seq2seq Model for Chinese Lyrics Generation. CoRR abs/1906.06481 (2019) - [i17]Haoshen Fan, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
Automatic Acrostic Couplet Generation with Three-Stage Neural Network Pipelines. CoRR abs/1906.09321 (2019) - [i16]Xu Lu, Jie Wang, Bojin Zhuang, Shaojun Wang, Jing Xiao:
A Syllable-Structured, Contextually-Based Conditionally Generation of Chinese Lyrics. CoRR abs/1906.09322 (2019) - [i15]Wenhao Bian, Jie Wang, Bojin Zhuang, Jiankui Yang, Shaojun Wang, Jing Xiao:
Audio-Based Music Classification with DenseNet And Data Augmentation. CoRR abs/1906.11620 (2019) - [i14]Yuxing Tang, Youbao Tang, Veit Sandfort, Jing Xiao, Ronald M. Summers:
TUNA-Net: Task-oriented UNsupervised Adversarial Network for Disease Recognition in Cross-Domain Chest X-rays. CoRR abs/1908.07926 (2019) - [i13]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion. CoRR abs/1909.01524 (2019) - [i12]Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu:
Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. CoRR abs/1909.01526 (2019) - [i11]Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Weakly Supervised Universal Fracture Detection in Pelvic X-rays. CoRR abs/1909.02077 (2019) - [i10]Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu:
CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. CoRR abs/1909.02511 (2019) - [i9]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao:
Domain-Aware No-Reference Image Quality Assessment. CoRR abs/1911.00673 (2019) - [i8]Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao:
An Iterative Polishing Framework based on Quality Aware Masked Language Model for Chinese Poetry Generation. CoRR abs/1911.13182 (2019) - 2018
- [j8]Yuan Qi, Jing Xiao:
Fintech: AI powers financial services to improve people's lives. Commun. ACM 61(11): 65-69 (2018) - [j7]Wei Xie, Feida Zhu, Jing Xiao, Jianzong Wang:
Social Network Monitoring for Bursty Cascade Detection. ACM Trans. Knowl. Discov. Data 12(4): 40:1-40:24 (2018) - [c38]Kun Su, Yu Xiong, Li Qi, Yu Xia, Baisong Li, Lin Yang, Qin Li, Wenge Tang, Xian Li, Xiaowen Ruan, Shaofeng Lu, Xianxian Chen, Chaobo Shen, Jiaying Xu, Liang Xu, Mei Han, Jing Xiao:
City-Wide Influenza Forecasting based on Multi-Source Data. IEEE BigData 2018: 3930-3937 - [c37]Jianzong Wang, Aozhi Liu, Jing Xiao:
Video-Based Pig Recognition with Feature-Integrated Transfer Learning. CCBR 2018: 620-631 - [c36]Siqi Zheng, Jianzong Wang, Jing Xiao, Wei-Ning Hsu, James R. Glass:
A Noise-Robust Self-Adaptive Multitarget Speaker Detection System. ICPR 2018: 1068-1072 - [c35]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. MLMI@MICCAI 2018: 46-54 - [c34]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. MLMI@MICCAI 2018: 249-258 - [c33]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. MICCAI (4) 2018: 396-404 - [c32]Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. MICCAI (4) 2018: 405-413 - [c31]Lihong Liu, Jin Ma, Jianzong Wang, Jing Xiao:
Automated Full Quantification of Left Ventricle with Deep Neural Networks. STACOM@MICCAI 2018: 412-420 - [i7]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST. CoRR abs/1801.08614 (2018) - [i6]Youbao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers:
Semi-Automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. CoRR abs/1806.09507 (2018) - [i5]Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. CoRR abs/1807.01172 (2018) - [i4]Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers:
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. CoRR abs/1807.07144 (2018) - [i3]Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers:
Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. CoRR abs/1807.07532 (2018) - 2017
- [c30]Jianzong Wang, Hui Guo, Jing Xiao:
Prioritized Grid Highway Long Short-Term Memory-Based Universal Background Model for Speaker Verification. CCBR 2017: 584-592 - [c29]Jianzong Wang, Yiwen Wang, Aozhi Liu, Jing Xiao:
Assistance of Speech Recognition in Noisy Environment with Sentence Level Lip-Reading. CCBR 2017: 593-601 - 2016
- [c28]Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou:
User Identity Linkage by Latent User Space Modelling. KDD 2016: 1775-1784 - 2015
- [j6]Jinjun Wang, Jing Xiao, Weiyao Lin, Chuanfei Luo:
Discriminative and generative vocabulary tree: With application to vein image authentication and recognition. Image Vis. Comput. 34: 51-62 (2015) - 2013
- [c27]Guang Chen, Yuanyuan Ding, Jing Xiao, Tony X. Han:
Detection Evolution with Multi-order Contextual Co-occurrence. CVPR 2013: 1798-1805 - [c26]Jinjun Wang, Jing Xiao:
Human behavior segmentation and recognition using Continuous Linear Dynamic System. WACV 2013: 61-67 - 2012
- [c25]Zhaowen Wang, Jinjun Wang, Jing Xiao, Kai-Hsiang Lin, Thomas S. Huang:
Substructure and boundary modeling for continuous action recognition. CVPR 2012: 1330-1337 - [c24]Yuanyuan Ding, Jing Xiao:
Contextual boost for pedestrian detection. CVPR 2012: 2895-2902 - [c23]Jinjun Wang, Jing Xiao:
Discriminative and generative vocabulary tree for vein image recognition. ICPR 2012: 3513-3516 - [i2]Zhaowen Wang, Jinjun Wang, Jing Xiao, Kai-Hsiang Lin, Thomas S. Huang:
Substructure and Boundary Modeling for Continuous Action Recognition. CoRR abs/1203.1985 (2012) - 2011
- [c22]Yuanyuan Ding, Jing Xiao, Jingyi Yu:
Importance filtering for image retargeting. CVPR 2011: 89-96 - [c21]Yuanyuan Ding, Jing Xiao, Jingyi Yu:
A theory of multi-perspective defocusing. CVPR 2011: 217-224 - [c20]Mithun Das Gupta, Jing Xiao:
Non-negative matrix factorization as a feature selection tool for maximum margin classifiers. CVPR 2011: 2841-2848 - 2010
- [c19]Mithun Das Gupta, Jing Xiao:
Bi-affinity Filter: A Bilateral Type Filter for Color Images. ECCV Workshops (1) 2010: 27-40 - [i1]Mithun Das Gupta, Sanjeev Kumar, Jing Xiao:
L1 Projections with Box Constraints. CoRR abs/1010.0141 (2010)
2000 – 2009
- 2009
- [c18]Yuanyuan Ding, Jing Xiao, Kar-Han Tan, Jingyi Yu:
Catadioptric projectors. CVPR 2009: 2528-2535 - 2008
- [j5]Krishnan Ramnath, Seth Koterba, Jing Xiao, Changbo Hu, Iain A. Matthews, Simon Baker, Jeffrey F. Cohn, Takeo Kanade:
Multi-View AAM Fitting and Construction. Int. J. Comput. Vis. 76(2): 183-204 (2008) - 2007
- [j4]Iain A. Matthews, Jing Xiao, Simon Baker:
2D vs. 3D Deformable Face Models: Representational Power, Construction, and Real-Time Fitting. Int. J. Comput. Vis. 75(1): 93-113 (2007) - 2006
- [j3]Jing Xiao, Jinxiang Chai, Takeo Kanade:
A Closed-Form Solution to Non-Rigid Shape and Motion Recovery. Int. J. Comput. Vis. 67(2): 233-246 (2006) - [j2]Tsuyoshi Moriyama, Takeo Kanade, Jing Xiao, Jeffrey F. Cohn:
Meticulously Detailed Eye Region Model and Its Application to Analysis of Facial Images. IEEE Trans. Pattern Anal. Mach. Intell. 28(5): 738-752 (2006) - [c17]Jing Xiao, Bogdan Georgescu, Xiang Zhou, Dorin Comaniciu, Takeo Kanade:
Simultaneous Registration and Modeling of Deformable Shapes. CVPR (2) 2006: 2429-2436 - [c16]Joerg Liebelt, Jing Xiao, Jie Yang:
Robust AAM Fitting by Fusion of Images and Disparity Data. CVPR (2) 2006: 2483-2490 - 2005
- [c15]Seth Koterba, Simon Baker, Iain A. Matthews, Changbo Hu, Jing Xiao, Jeffrey F. Cohn, Takeo Kanade:
Multi-View AAM Fitting and Camera Calibration. ICCV 2005: 511-518 - [c14]Jing Xiao, Takeo Kanade:
Uncalibrated Perspective Reconstruction of Deformable Structures. ICCV 2005: 1075-1082 - 2004
- [c13]Changbo Hu, Jing Xiao, Iain A. Matthews, Simon Baker, Jeffrey F. Cohn, Takeo Kanade:
Fitting a Single Active Appearance Model Simultaneously to Multiple Images. BMVC 2004: 1-10 - [c12]Jing Xiao, Simon Baker, Iain A. Matthews, Takeo Kanade:
Real-Time Combined 2D+3D Active Appearance Models. CVPR (2) 2004: 535-542 - [c11]Jing Xiao, Takeo Kanade:
Non-Rigid Shape and Motion Recovery: Degenerate Deformations. CVPR (1) 2004: 668-675 - [c10]Jing Xiao, Jinxiang Chai, Takeo Kanade:
A Closed-Form Solution to Non-rigid Shape and Motion Recovery. ECCV (4) 2004: 573-587 - [c9]Jeffrey F. Cohn, Lawrence Ian Reed, Tsuyoshi Moriyama, Jing Xiao, Karen L. Schmidt, Zara Ambadar:
Multimodal Coordination of Facial Action, Head Rotation, and Eye Motion during Spontaneous Smiles. FGR 2004: 129-138 - [c8]Jeffrey F. Cohn, Lawrence Ian Reed, Zara Ambadar, Jing Xiao, Tsuyoshi Moriyama:
Automatic analysis and recognition of brow actions and head motion in spontaneous facial behavior. SMC (1) 2004: 610-616 - [c7]Tsuyoshi Moriyama, Jing Xiao, Jeffrey F. Cohn:
Meticulously detailed eye model and its application to analysis of facial image. SMC (1) 2004: 629-634 - 2003
- [j1]Jing Xiao, Tsuyoshi Moriyama, Takeo Kanade, Jeffrey F. Cohn:
Robust full-motion recovery of head by dynamic templates and re-registration techniques. Int. J. Imaging Syst. Technol. 13(1): 85-94 (2003) - [c6]Jinxiang Chai, Jing Xiao, Jessica K. Hodgins:
Vision-based control of 3D facial animation. Symposium on Computer Animation 2003: 193-206 - 2002
- [c5]Jing Xiao, Takeo Kanade, Jeffrey F. Cohn:
Robust Full-Motion Recovery of Head by Dynamic Templates and Re-Registration Techniques. FGR 2002: 163-169 - [c4]Tsuyoshi Moriyama, Takeo Kanade, Jeffrey F. Cohn, Jing Xiao, Zara Ambadar, Jiang Gao, Hiroki Imamura:
Automatic Recognition of Eye Blinking in Spontaneously Occurring Behavior. ICPR (4) 2002: 78- - 2000
- [c3]Jie Yang, Jing Xiao, Max Ritter:
Automatic Selection of Visemes for Image-Based Visual Speech Synthesis. IEEE International Conference on Multimedia and Expo (II) 2000: 1081-1084
1990 – 1999
- 1997
- [c2]Zhanbo Chen, Jing Xiao, Jie Cheng:
PASS: a program for automatic structure search. ICNN 1997: 308-311 - 1996
- [c1]Jing Xiao, Zhanbo Chen, Jie Cheng:
Structure study of feedforward neural networks for approximation of highly nonlinear real-valued functions. ICNN 1996: 258-263
Coauthor Index
aka: Guotong Xie
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