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ORCIDSheng Li 0001
Person information
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation (former): University of Georgia, Athens, GA, USA
- affiliation (former): Northeastern University, Boston, MA, USA
- affiliation (former): Nanjing University of Posts and Telecommunications, China
Other persons with the same name
- Sheng Li — disambiguation page
- Sheng Li 0002
![[0000-0002-6258-3147]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6258-3147")
— Peking University, Department of Psychology, Beijing, China (and 2 more) - Sheng Li 0003 — Harbin Institute of Technology, Laboratory of Machine Intelligence and Translation, China
- Sheng Li 0005 — Zhejiang University of Technology, Hangzhou, China (and 2 more)
- Sheng Li 0006 — Fudan University, School of Computer Science, Shanghai Institute of Intelligent Electronics and Systems, China (and 2 more)
- Sheng Li 0007 — Google, Mountain View, CA, USA (and 3 more)
- Sheng Li 0008 — Peking University, Department of Computer Science, Beijing, China
- Sheng Li 0009 — Xijing University, Xi'an, China (and 1 more)
- Sheng Li 0010 — National Institute of Information and Communications Technology (NICT), Universal Communication Research Institute (UCRI), Kyoto, Japan (and 5 more)
- Sheng Li 0011 — Zhongnan University of Economics and Law, School of Information and Safety Engineering, Wuhan, China (and 1 more)
- Sheng Li 0012 — Nanjing Institute of Technology, School of Electric Power Engineering, China
- Sheng Li 0013 — Central University of Finance and Economics, Beijing, China
- Sheng Li 0014 — Karlsruhe Institute of Technology, Germany
- Sheng Li 0015 — University of Texas Health Science Center at Houston, TX, USA
- Sheng Li 0016 — Nanjing University of Science and Technology, Nanjing, Jiangsu, China
- Sheng Li 0017 — Alibaba Inc., Hangzhou, China (and 1 more)
- Sheng Li 0018 — Wuhan University of Technology, National Engineering Laboratory for Fiber Optic Sensing Technology, China
- Sheng Li 0019 — University of Pittsburgh, PA, USA (and 1 more)
- Sheng Li 0020 — University of Electronic Science and Technology of China, Chengdu, China (and 1 more)
Other persons with a similar name
- Chung-Sheng Li
- Dongsheng Li (aka: DongSheng Li, Dong-sheng Li, Dong-Sheng Li, Dong Sheng Li) — disambiguation page
- Sheng-Tun Li
- Shengbo Eben Li (aka: Shengbo Li 0001, Sheng-bo Li 0001) — Tsinghua University, School of Vehicle and Mobility, Beijing, China (and 1 more)
- Dongsheng Li 0001 (aka: Dong-sheng Li 0001, Dong Sheng Li 0001) — National University of Defense Technology, College of Computer, Changsha, China
- Shenghong Li 0001 (aka: Sheng-Hong Li 0001) — Shanghai Jiaotong University, Department of Electric and Electronic Engineering, China (and 1 more)
- Hai-Sheng Li 0002 (aka: Haisheng Li 0002) — Beijing Technology and Business University, School of Computer and Information Engineering, China (and 1 more)
- Li Sheng 0002 — China University of Petroleum (East China), College of Information and Control Engineering, Qingdao, China (and 1 more)
- Shengli Xie (aka: Sheng-Li Xie)
- Shengli Zhang (aka: Sheng-Li Zhang) — disambiguation page
- show all similar names
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2020 – today
- 2024
[j49]Daniel Petti, Ronghang Zhu, Sheng Li, Changying Li:
Graph Neural Networks for lightweight plant organ tracking. Comput. Electron. Agric. 225: 109294 (2024)- [j48]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, David Liu, Dajiang Zhu, Sheng Li, Wei Liu, Tianming Liu, Quanzheng Li, Hongmin Cai, Xiang Li:
Mask-guided BERT for few-shot text classification. Neurocomputing 610: 128576 (2024) - [j47]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. IEEE Trans. Cogn. Dev. Syst. 16(2): 584-594 (2024) - [j46]Mingbo Zhao, Sheng Li, Xiaojie Jin, David Zhiwei Gao:
Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics. IEEE Trans. Consumer Electron. 70(2): 4961-4964 (2024) - [j45]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
A Survey of Trustworthy Representation Learning Across Domains. ACM Trans. Knowl. Discov. Data 18(7): 173 (2024) - [j44]Daiqing Qi, Handong Zhao, Xiaowei Jia, Sheng Li:
Revealing an Overlooked Challenge in Class-Incremental Graph Learning. Trans. Mach. Learn. Res. 2024 (2024) - [j43]Weili Shi, Sheng Li:
Dual-windowed Vision Transformer with Angular Self- Attention. Trans. Mach. Learn. Res. 2024 (2024) - [c114]Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Open-Set Graph Domain Adaptation via Separate Domain Alignment. AAAI 2024: 9142-9150 - [c113]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650 - [c112]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 2024: 19189-19196 - [c111]Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu:
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). AAAI 2024: 23506-23507 - [c110]Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li:
Tag-grounded Visual Instruction Tuning with Retrieval Augmentation. EMNLP 2024: 2008-2026 - [c109]Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu:
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. GeoAI@SIGSPATIAL 2024: 63-66 - [c108]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD 2024: 6677-6687 - [c107]Dongliang Guo, Yun Fu, Sheng Li:
Ada-VAD: Domain Adaptable Video Anomaly Detection. SDM 2024: 634-642 - [c106]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR 2024: 2749-2754 - [i64]Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li:
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions. CoRR abs/2402.11068 (2024) - [i63]Shaochen Xu, Zihao Wu, Huaqin Zhao, Peng Shu, Zhengliang Liu, Wenxiong Liao, Sheng Li, Andrea Sikora, Tianming Liu, Xiang Li:
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis. CoRR abs/2402.11398 (2024) - [i62]Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai:
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR abs/2403.19584 (2024) - [i61]Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti:
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR abs/2404.01101 (2024) - [i60]Duna Zhan, Dongliang Guo, Pengsheng Ji, Sheng Li:
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks. CoRR abs/2404.17511 (2024) - [i59]Daiqing Qi, Handong Zhao, Zijun Wei, Sheng Li:
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags. CoRR abs/2406.10839 (2024) - [i58]Zhawnen Chen, Tianchun Wang, Yizhou Wang, Michal Kosinski, Xiang Zhang, Yun Fu, Sheng Li:
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models. CoRR abs/2406.13763 (2024) - [i57]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR abs/2406.13966 (2024) - [i56]Guangya Wan, Yuqi Wu, Jie Chen, Sheng Li:
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction. CoRR abs/2408.13940 (2024) - [i55]Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li:
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. CoRR abs/2410.07589 (2024) - [i54]Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li:
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. CoRR abs/2410.18267 (2024) - [i53]Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding:
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. CoRR abs/2410.19265 (2024) - 2023
- [j42]Wayland Yeung, Zhongliang Zhou, Sheng Li, Natarajan Kannan:
Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings. Briefings Bioinform. 24(1) (2023) - [j41]Wayland Yeung, Zhongliang Zhou, Liju Mathew, Nathan Gravel, Rahil Taujale, Brady O'boyle, Mariah Salcedo, Aarya Venkat, William Lanzilotta, Sheng Li, Natarajan Kannan:
Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies. Briefings Bioinform. 24(1) (2023) - [j40]Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan:
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinform. 39(2) (2023) - [j39]Shengyu Chen, Nasrin Kalanat, Yiqun Xie, Sheng Li, Jacob A. Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha K. Oliver, Jordan S. Read, Xiaowei Jia:
Physics-guided machine learning from simulated data with different physical parameters. Knowl. Inf. Syst. 65(8): 3223-3250 (2023) - [j38]Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Co-Embedding of Nodes and Edges With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7075-7086 (2023) - [j37]Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao:
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [j36]Ronghang Zhu, Xiang Yu, Sheng Li:
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [j35]Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li:
Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3847-3858 (2023) - [c105]Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. AAAI Bridge Program 2023: 11-17 - [c104]Weili Shi, Zhongliang Zhou, Benjamin H. Letcher, Nathaniel P. Hitt, Yoichiro Kanno, Ryo Futamura, Osamu Kishida, Kentaro Morita, Sheng Li:
Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years. AI (1) 2023: 252-264 - [c103]Wenxiong Liao, Zhengliang Liu, Yiyang Zhang, Xiaoke Huang, Fei Qi, Siqi Ding, Hui Ren, Zihao Wu, Haixing Dai, Sheng Li, Lingfei Wu, Ninghao Liu, Quanzheng Li, Tianming Liu, Xiang Li, Hongmin Cai:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. BIBM 2023: 1294-1299 - [c102]Weili Shi, Xueying Yang, Xujiang Zhao, Haifeng Chen, Zhiqiang Tao, Sheng Li:
Calibrate Graph Neural Networks under Out-of-Distribution Nodes via Deep Q-learning. CIKM 2023: 2270-2279 - [c101]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CVPR 2023: 10504-10513 - [c100]Hemadri Jayalath, Ghadeer I. Yassin, Lakshmish Ramaswamy, Sheng Li:
Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback. ICAART (3) 2023: 285-292 - [c99]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. ICDE 2023: 3430-3439 - [c98]Dongliang Guo, Zhixuan Chu, Sheng Li:
Fair Attribute Completion on Graph with Missing Attributes. ICLR 2023 - [c97]Daiqing Qi, Handong Zhao, Sheng Li:
Better Generative Replay for Continual Federated Learning. ICLR 2023 - [c96]Ronghang Zhu, Xiang Yu, Sheng Li:
Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer. ICLR 2023 - [c95]Zhaiming Shen, Ming-Jun Lai, Sheng Li:
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes. IJCAI 2023: 4190-4198 - [c94]Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li:
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. IJCAI 2023: 4684-4692 - [c93]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 205-213 - [c92]Zhixuan Chu, Mechelle Claridy, José Cordero, Sheng Li, Stephen L. Rathbun:
Estimating Propensity Scores with Deep Adaptive Variable Selection. SDM 2023: 730-738 - [c91]Saed Rezayi, Handong Zhao, Ronghang Zhu, Sheng Li:
XDC: Adaptive Cross Domain Short Text Clustering. SDM 2023: 927-935 - [c90]Sheng Li:
Towards Trustworthy Representation Learning. SDM 2023: 957-960 - [c89]Zhanwen Chen, Saed Rezayi, Sheng Li:
More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment. WACV 2023: 4012-4021 - [i52]Zhixuan Chu, Sheng Li:
Continual Treatment Effect Estimation: Challenges and Opportunities. CoRR abs/2301.01026 (2023) - [i51]Zhixuan Chu, Jianmin Huang, Ruopeng Li, Wei Chu, Sheng Li:
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities. CoRR abs/2302.00848 (2023) - [i50]Yizhou Wang, Dongliang Guo, Sheng Li, Yun Fu:
Towards Explainable Visual Anomaly Detection. CoRR abs/2302.06670 (2023) - [i49]Wenxiong Liao, Zhengliang Liu, Haixing Dai, Zihao Wu, Yiyang Zhang, Xiaoke Huang, Yuzhong Chen, Xi Jiang, Dajiang Zhu, Tianming Liu, Sheng Li, Xiang Li, Hongmin Cai:
Mask-guided BERT for Few Shot Text Classification. CoRR abs/2302.10447 (2023) - [i48]Dongliang Guo, Zhixuan Chu, Sheng Li:
Fair Attribute Completion on Graph with Missing Attributes. CoRR abs/2302.12977 (2023) - [i47]Daiqing Qi, Handong Zhao, Sheng Li:
Better Generative Replay for Continual Federated Learning. CoRR abs/2302.13001 (2023) - [i46]Haixing Dai, Zhengliang Liu, Wenxiong Liao, Xiaoke Huang, Zihao Wu, Lin Zhao, Wei Liu, Ninghao Liu, Sheng Li, Dajiang Zhu, Hongmin Cai, Quanzheng Li, Dinggang Shen, Tianming Liu, Xiang Li:
ChatAug: Leveraging ChatGPT for Text Data Augmentation. CoRR abs/2302.13007 (2023) - [i45]Zhixuan Chu, Ruopeng Li, Stephen L. Rathbun, Sheng Li:
Continual Causal Inference with Incremental Observational Data. CoRR abs/2303.01775 (2023) - [i44]Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu:
Frame Flexible Network. CoRR abs/2303.14817 (2023) - [i43]Guoyu Lu, Sheng Li, Gengchen Mai, Jin Sun, Dajiang Zhu, Lilong Chai, Haijian Sun, Xianqiao Wang, Haixing Dai, Ninghao Liu, Rui Xu, Daniel Petti, Changying Li, Tianming Liu:
AGI for Agriculture. CoRR abs/2304.06136 (2023) - [i42]Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li:
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. CoRR abs/2304.10597 (2023) - [i41]Ehsan Latif, Gengchen Mai, Matthew Nyaaba, Xuansheng Wu, Ninghao Liu, Guoyu Lu, Sheng Li, Tianming Liu, Xiaoming Zhai:
Artificial General Intelligence (AGI) for Education. CoRR abs/2304.12479 (2023) - [i40]Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu:
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. CoRR abs/2305.03289 (2023) - [i39]Yunyi Zhou, Zhixuan Chu, Yijia Ruan, Ge Jin, Yuchen Huang, Sheng Li:
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting. CoRR abs/2305.11304 (2023) - [i38]Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, Xiaobai Yao, Lu Shi, Quanzheng Li, Zhuo Chen, Donglan Zhang, Gengchen Mai, Tianming Liu:
AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology. CoRR abs/2306.10095 (2023) - [i37]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, Sheng Li:
Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications. CoRR abs/2306.11892 (2023) - [i36]Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li:
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR abs/2307.01389 (2023) - [i35]Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora:
PharmacyGPT: The AI Pharmacist. CoRR abs/2307.10432 (2023) - [i34]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR abs/2308.10835 (2023) - [i33]Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li:
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR abs/2308.10837 (2023) - [i32]Ronghang Zhu, Dongliang Guo, Daiqing Qi, Zhixuan Chu, Xiang Yu, Sheng Li:
Trustworthy Representation Learning Across Domains. CoRR abs/2308.12315 (2023) - [i31]Fei Dou, Jin Ye, Geng Yuan, Qin Lu, Wei Niu, Haijian Sun, Le Guan, Guoyu Lu, Gengchen Mai, Ninghao Liu, Jin Lu, Zhengliang Liu, Zihao Wu, Chenjiao Tan, Shaochen Xu, Xianqiao Wang, Guoming Li, Lilong Chai, Sheng Li, Jin Sun, Hongyue Sun, Yunli Shao, Changying Li, Tianming Liu, Wenzhan Song:
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. CoRR abs/2309.07438 (2023) - [i30]Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Data-Centric Financial Large Language Models. CoRR abs/2310.17784 (2023) - [i29]Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu:
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. CoRR abs/2312.00975 (2023) - [i28]Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li:
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. CoRR abs/2312.06082 (2023) - [i27]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR abs/2312.16113 (2023) - 2022
- [j34]Zhao Zhang, Meng Wang, Sheng Li, Zheng Zhang:
Editorial: Deep dictionary learning: Algorithm, theory and application. Neurocomputing 491: 492-493 (2022) - [j33]Heng-Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li:
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7921-7927 (2022) - [c88]Saed Rezayi, Handong Zhao, Sheng Li:
XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract). AAAI 2022: 13035-13036 - [c87]Weili Shi, Sheng Li:
Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training. IEEE Big Data 2022: 135-140 - [c86]Zhongliang Zhou, Nathaniel P. Hitt, Benjamin H. Letcher, Weili Shi, Sheng Li:
Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification. IEEE Big Data 2022: 6850-6852 - [c85]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CHIL 2022: 79-91 - [c84]Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CIKM 2022: 3043-3051 - [c83]Xueying Yang, Jiamian Wang, Xujiang Zhao, Sheng Li, Zhiqiang Tao:
Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty. CIKM 2022: 4640-4644 - [c82]Ronghang Zhu, Sheng Li:
CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization. ICLR 2022 - [c81]Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Chen Zhen, Tianming Liu, Sheng Li:
AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition. IJCAI 2022: 5150-5156 - [c80]Weili Shi, Ronghang Zhu, Sheng Li:
Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation. KDD 2022: 1598-1606 - [c79]Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li:
ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. MLMI@MICCAI 2022: 269-278 - [c78]Ronghang Zhu, Sheng Li:
Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation. SDM 2022: 1-9 - [c77]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. SDM 2022: 433-441 - [c76]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-Modal Time Series Classification. SDM 2022: 495-503 - [i26]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data. CoRR abs/2202.10885 (2022) - [i25]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials. CoRR abs/2203.05123 (2022) - [i24]Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu:
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations. CoRR abs/2206.10821 (2022) - [i23]Zhixuan Chu, Hui Ding, Guang Zeng, Yuchen Huang, Tan Yan, Yulin Kang, Sheng Li:
Hierarchical Capsule Prediction Network for Marketing Campaigns Effect. CoRR abs/2208.10113 (2022) - [i22]Hongmin Cai, Wenxiong Liao, Zhengliang Liu, Xiaoke Huang, Yiyang Zhang, Siqi Ding, Sheng Li, Quanzheng Li, Tianming Liu, Xiang Li:
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training. CoRR abs/2211.02849 (2022) - [i21]Zhaiming Shen, Ming-Jun Lai, Sheng Li:
Semi-supervised Local Cluster Extraction by Compressive Sensing. CoRR abs/2211.11114 (2022) - 2021
- [j32]Zhao Zhang, Sheng Li, Meng Wang, Shuicheng Yan:
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions. Image Vis. Comput. 112: 104239 (2021) - [j31]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [j30]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. IEEE Trans. Knowl. Data Eng. 33(4): 1523-1539 (2021) - [c75]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. AAAI 2021: 6714-6722 - [c74]Saed Rezayi, Nedim Lipka, Vishwa Vinay, Ryan A. Rossi, Franck Dernoncourt, Tracy Holloway King, Sheng Li:
A Framework for Knowledge-Derived Query Suggestions. IEEE BigData 2021: 510-518 - [c73]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c72]Xiaowei Jia, Yiqun Xie, Sheng Li, Shengyu Chen, Jacob Zwart, Jeffrey M. Sadler, Alison P. Appling, Samantha Oliver, Jordan S. Read:
Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems. ICDM 2021: 270-279 - [c71]Ronghang Zhu, Sheng Li:
Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. ICDM 2021: 1547-1552 - [c70]Ronghang Zhu, Xiaodong Jiang, Jiasen Lu, Sheng Li:
Transferable Feature Learning on Graphs Across Visual Domains. ICME 2021: 1-6 - [c69]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. KDD 2021: 176-184 - [c68]Saed Rezayi, Saber Soleymani, Hamid R. Arabnia, Sheng Li:
Socially Aware Multimodal Deep Neural Networks for Fake News Classification. MIPR 2021: 253-259 - [c67]Kang Yuan, Sheng Li:
2.5D Pose Guided Human Image Generation. ICMR 2021: 501-505 - [c66]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c65]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR 2021: 2096-2100 - [i20]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - [i19]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. CoRR abs/2106.02881 (2021) - [i18]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR abs/2107.04713 (2021) - [i17]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - 2020
- [j29]Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan:
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction. BMC Bioinform. 21(1): 520 (2020) - [j28]Fangyu Li, José Clemente, Maria Valero, Zion Tse, Sheng Li, WenZhan Song:
Smart Home Monitoring System via Footstep-Induced Vibrations. IEEE Syst. J. 14(3): 3383-3389 (2020) - [j27]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. IEEE Trans. Image Process. 29: 3941-3956 (2020) - [j26]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Marginalized Multiview Ensemble Clustering. IEEE Trans. Neural Networks Learn. Syst. 31(2): 600-611 (2020) - [c64]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CIKM 2020: 205-214 - [c63]Abhilash Dorle, Fangyu Li, Wenzhan Song, Sheng Li:
Learning Discriminative Virtual Sequences for Time Series Classification. CIKM 2020: 2001-2004 - [c62]Sheng Li, Handong Zhao:
A Survey on Representation Learning for User Modeling. IJCAI 2020: 4997-5003 - [c61]Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao:
Causal Inference Meets Machine Learning. KDD 2020: 3527-3528 - [c60]Heng-Shiou Sheu, Sheng Li:
Context-aware Graph Embedding for Session-based News Recommendation. RecSys 2020: 657-662 - [i16]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020) - [i15]Mohammadhossein Toutiaee, Soheyla Amirian, John A. Miller, Sheng Li:
Stereotype-Free Classification of Fictitious Faces. CoRR abs/2005.02157 (2020) - [i14]Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu:
Collaborative Attention Mechanism for Multi-View Action Recognition. CoRR abs/2009.06599 (2020) - [i13]Zhixuan Chu, Stephen L. Rathbun, Sheng Li:
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. CoRR abs/2009.06828 (2020) - [i12]Xiaodong Jiang, Ronghang Zhu, Pengsheng Ji, Sheng Li:
Co-embedding of Nodes and Edges with Graph Neural Networks. CoRR abs/2010.13242 (2020)
2010 – 2019
- 2019
- [j25]Jianyi Liu, Rui Qiao, Yueying Li, Sheng Li:
Witness detection in multi-instance regression and its application for age estimation. Multim. Tools Appl. 78(23): 33703-33722 (2019) - [j24]Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai:
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. Neural Networks 119: 93-112 (2019) - [j23]Sheng Li, Zhiqiang Tao, Kang Li, Yun Fu:
Visual to Text: Survey of Image and Video Captioning. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 297-312 (2019) - [j22]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
Robust Spectral Ensemble Clustering via Rank Minimization. ACM Trans. Knowl. Discov. Data 13(1): 4:1-4:25 (2019) - [j21]Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan:
Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation. IEEE Trans. Knowl. Data Eng. 31(12): 2423-2440 (2019) - [j20]Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1896-1907 (2019) - [c59]Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang:
SADIH: Semantic-Aware DIscrete Hashing. AAAI 2019: 5853-5860 - [c58]Yuqi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao:
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. IEEE BigData 2019: 278-287 - [c57]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation With External Knowledge and Image Reconstruction. CVPR 2019: 1969-1978 - [c56]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CVPR 2019: 10522-10531 - [c55]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering. ICASSP 2019: 2092-2096 - [c54]Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang:
Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery. ICDM 2019: 846-855 - [c53]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c52]Xiaodong Jiang, Pengsheng Ji, Sheng Li:
CensNet: Convolution with Edge-Node Switching in Graph Neural Networks. IJCAI 2019: 2656-2662 - [c51]Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c50]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. IJCAI 2019: 4376-4382 - [c49]Zhiqiang Tao, Sheng Li, Zhaowen Wang, Chen Fang, Longqi Yang, Handong Zhao, Yun Fu:
Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. KDD 2019: 1055-1063 - [c48]Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar:
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD 2019: 1665-1673 - [c47]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zhengjun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. ACM Multimedia 2019: 1569-1577 - [c46]Xiaowei Jia, Sheng Li, Ankush Khandelwal, Guruprasad Nayak, Anuj Karpatne, Vipin Kumar:
Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection. SDM 2019: 513-521 - [c45]Xueyu Mao, Saayan Mitra, Sheng Li:
Training Streaming Factorization Machines with Alternating Least Squares. SIGIR 2019: 1185-1188 - [c44]Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671 - [i11]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. CoRR abs/1901.02539 (2019) - [i10]Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling:
Scene Graph Generation with External Knowledge and Image Reconstruction. CoRR abs/1904.00560 (2019) - [i9]Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang:
SADIH: Semantic-Aware DIscrete Hashing. CoRR abs/1904.01739 (2019) - [i8]Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao:
Fast Spatio-Temporal Residual Network for Video Super-Resolution. CoRR abs/1904.02870 (2019) - [i7]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. CoRR abs/1905.10564 (2019) - [i6]Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin:
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. CoRR abs/1905.10568 (2019) - [i5]Zhao Zhang, Jiahuan Ren, Sheng Li, Richang Hong, Zheng-Jun Zha, Meng Wang:
Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation. CoRR abs/1908.01266 (2019) - [i4]Zhao Zhang, Lei Wang, Sheng Li, Yang Wang, Zheng Zhang, Zhengjun Zha, Meng Wang:
Adaptive Structure-constrained Robust Latent Low-Rank Coding for Image Recovery. CoRR abs/1908.07860 (2019) - [i3]Zhao Zhang, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan, Meng Wang:
Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering. CoRR abs/1909.00523 (2019) - [i2]Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism. CoRR abs/1911.11561 (2019) - [i1]Jiahuan Ren, Zhao Zhang, Sheng Li, Yang Wang, Guangcan Liu, Shuicheng Yan, Meng Wang:
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space. CoRR abs/1912.11785 (2019) - 2018
- [j19]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite ensemble clustering. Data Min. Knowl. Discov. 32(2): 385-416 (2018) - [j18]Sheng Li, Ming Shao, Yun Fu:
Person Re-Identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2963-2977 (2018) - [j17]Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu:
SLMOML: Online Metric Learning With Global Convergence. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2460-2472 (2018) - [j16]Chengcheng Jia, Ming Shao, Sheng Li, Handong Zhao, Yun Fu:
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions. IEEE Trans. Image Process. 27(4): 1878-1887 (2018) - [j15]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowl. Discov. Data 12(3): 32:1-32:22 (2018) - [j14]Sheng Li, Kang Li, Yun Fu:
Self-Taught Low-Rank Coding for Visual Learning. IEEE Trans. Neural Networks Learn. Syst. 29(3): 645-656 (2018) - [j13]Sheng Li, Kang Li, Yun Fu:
Early Recognition of 3D Human Actions. ACM Trans. Multim. Comput. Commun. Appl. 14(1s): 20:1-20:21 (2018) - [c43]Kai Li, Zhengming Ding, Sheng Li, Yun Fu:
Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification. AAAI 2018: 2331-2338 - [c42]Kai Li, Sheng Li, Zhengming Ding, Weidong Zhang, Yun Fu:
Latent Discriminant Subspace Representations for Multi-View Outlier Detection. AAAI 2018: 3522-3529 - [c41]Shumin Jing, Sheng Li:
Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. AAAI 2018: 8095-8096 - [c40]Tuan Manh Lai, Trung Bui, Sheng Li, Nedim Lipka:
A Simple End-to-End Question Answering Model for Product Information. ECONLP@ACL 2018: 38-43 - [c39]Tuan Manh Lai, Trung Bui, Sheng Li:
A Review on Deep Learning Techniques Applied to Answer Selection. COLING 2018: 2132-2144 - [c38]Zhengming Ding, Sheng Li, Ming Shao, Yun Fu:
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation. ECCV (2) 2018: 36-52 - [c37]Zhengming Ding, Ming Shao, Sheng Li, Yun Fu:
Generic Embedded Semantic Dictionary for Robust Multi-Label Classification. ICBK 2018: 282-289 - [c36]Tuan Manh Lai, Trung Bui, Nedim Lipka, Sheng Li:
Supervised Transfer Learning for Product Information Question Answering. ICMLA 2018: 1109-1114 - [c35]Zhao Zhang, Weiming Jiang, Sheng Li, Jie Qin, Guangcan Liu, Shuicheng Yan:
Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding. ICPR 2018: 1664-1669 - [c34]Jiahuan Ren, Zhao Zhang, Sheng Li, Guangcan Liu, Meng Wang, Shuicheng Yan:
Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning. ICPR 2018: 1851-1856 - [c33]Huan Zhang, Zhao Zhang, Sheng Li, Qiaolin Ye, Mingbo Zhao, Meng Wang:
Robust Adaptive Label Propagation by Double Matrix Decomposition. ICPR 2018: 2160-2165 - [c32]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c31]Lei Wang, Zhao Zhang, Sheng Li, Guangcan Liu, Chenping Hou, Jie Qin:
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. PRICAI (1) 2018: 71-84 - 2017
- [b1]Sheng Li, Yun Fu:
Robust Representation for Data Analytics - Models and Applications. Advanced Information and Knowledge Processing, Springer 2017, ISBN 978-3-319-60175-5, pp. 1-222 - [j12]Kang Li, Sheng Li, Sangmin Oh, Yun Fu:
Videography-Based Unconstrained Video Analysis. IEEE Trans. Image Process. 26(5): 2261-2273 (2017) - [c30]Sheng Li, Yun Fu:
Robust multi-label semi-supervised classification. IEEE BigData 2017: 27-36 - [c29]Sheng Li, Hongfu Liu, Zhiqiang Tao, Yun Fu:
Multi-view graph learning with adaptive label propagation. IEEE BigData 2017: 110-115 - [c28]Zhiqiang Tao, Hongfu Liu, Sheng Li, Zhengming Ding, Yun Fu:
From Ensemble Clustering to Multi-View Clustering. IJCAI 2017: 2843-2849 - [c27]Sheng Li, Yun Fu:
Matching on Balanced Nonlinear Representations for Treatment Effects Estimation. NIPS 2017: 929-939 - 2016
- [j11]Sheng Li, Yun Fu:
Learning Robust and Discriminative Subspace With Low-Rank Constraints. IEEE Trans. Neural Networks Learn. Syst. 27(11): 2160-2173 (2016) - [c26]Zhiqiang Tao, Hongfu Liu, Sheng Li, Yun Fu:
Robust Spectral Ensemble Clustering. CIKM 2016: 367-376 - [c25]Sheng Li, Yaliang Li, Yun Fu:
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. CIKM 2016: 989-998 - [c24]Sheng Li, Nikos Vlassis, Jaya Kawale, Yun Fu:
Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns. IJCAI 2016: 3768-3774 - [c23]Sheng Li:
Learning Robust Representations for Data Analytics. IJCAI 2016: 4010-4011 - [c22]Sheng Li, Yun Fu:
Unsupervised transfer learning via Low-Rank Coding for image clustering. IJCNN 2016: 1795-1802 - [c21]Guoqiang Zhong, Yan Zheng, Sheng Li, Yun Fu:
Scalable large margin online metric learning. IJCNN 2016: 2252-2259 - [c20]Hongfu Liu, Ming Shao, Sheng Li, Yun Fu:
Infinite Ensemble for Image Clustering. KDD 2016: 1745-1754 - 2015
- [j10]Sheng Li, Yun Fu:
Learning Balanced and Unbalanced Graphs via Low-Rank Coding. IEEE Trans. Knowl. Data Eng. 27(5): 1274-1287 (2015) - [c19]Sheng Li, Jaya Kawale, Yun Fu:
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder. CIKM 2015: 811-820 - [c18]Sheng Li, Kang Li, Yun Fu:
Temporal Subspace Clustering for Human Motion Segmentation. ICCV 2015: 4453-4461 - [c17]Sheng Li, Ming Shao, Yun Fu:
Cross-View Projective Dictionary Learning for Person Re-Identification. IJCAI 2015: 2155-2161 - [c16]Ming Shao, Sheng Li, Zhengming Ding, Yun Fu:
Deep Linear Coding for Fast Graph Clustering. IJCAI 2015: 3798-3804 - [c15]Sheng Li, Ming Shao, Yun Fu:
Multi-View Low-Rank Analysis for Outlier Detection. SDM 2015: 748-756 - [c14]Sheng Li, Jaya Kawale, Yun Fu:
Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization. SIGIR 2015: 875-878 - 2014
- [j9]Liangyue Li, Sheng Li, Yun Fu:
Learning low-rank and discriminative dictionary for image classification. Image Vis. Comput. 32(10): 814-823 (2014) - [j8]Ya Su, Sheng Li, Shengjin Wang, Yun Fu:
Submanifold Decomposition. IEEE Trans. Circuits Syst. Video Technol. 24(11): 1885-1897 (2014) - [c13]Kang Li, Sheng Li, Yun Fu:
Early Classification of Ongoing Observation. ICDM 2014: 310-319 - [c12]Ming Shao, Sheng Li, Tongliang Liu, Dacheng Tao, Thomas S. Huang, Yun Fu:
Learning relative features through adaptive pooling for image classification. ICME 2014: 1-6 - [c11]Sheng Li, Ming Shao, Yun Fu:
Locality linear fitting one-class SVM with low-rank constraints for outlier detection. IJCNN 2014: 676-683 - [c10]Sheng Li, Yun Fu:
Robust Subspace Discovery through Supervised Low-Rank Constraints. SDM 2014: 163-171 - [p2]Sheng Li, Liangyue Li, Yun Fu:
Low-Rank and Sparse Dictionary Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 61-85 - [p1]Sheng Li, Ming Shao, Yun Fu:
Low-Rank Outlier Detection. Low-Rank and Sparse Modeling for Visual Analysis 2014: 181-202 - 2013
- [c9]Liangyue Li, Sheng Li, Yun Fu:
Discriminative dictionary learning with low-rank regularization for face recognition. FG 2013: 1-6 - [c8]Sheng Li, Yun Fu:
Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification. IJCAI 2013: 1472-1478 - 2012
- [j7]Xiao-Yuan Jing, Sheng Li, David Zhang, Chao Lan, Jingyu Yang:
Optimal subset-division based discrimination and its kernelization for face and palmprint recognition. Pattern Recognit. 45(10): 3590-3602 (2012) - [j6]Xiao-Yuan Jing, Chao Lan, David Zhang, Jing-Yu Yang, Min Li, Sheng Li, Songhao Zhu:
Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection. Pattern Recognit. Lett. 33(6): 709-717 (2012) - [j5]Xiao-Yuan Jing, Sheng Li, Wen-Qian Li, Yong-Fang Yao, Chao Lan, Jiasen Lu, Jing-Yu Yang:
Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization. Sensors 12(5): 5551-5571 (2012) - [j4]Xiao-Yuan Jing, Sheng Li, David Zhang, Jian Yang, Jing-Yu Yang:
Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition. IEEE Trans. Circuits Syst. Video Technol. 22(10): 1497-1511 (2012) - 2011
- [j3]Xiao-Yuan Jing, Sheng Li, Chao Lan, David Zhang, Jingyu Yang, Qian Liu:
Color image canonical correlation analysis for face feature extraction and recognition. Signal Process. 91(8): 2132-2140 (2011) - [c7]Xiao-Yuan Jing, Sheng Li, Songhao Zhu, Qian Liu, Jingyu Yang, Jiasen Lu:
Supervised local sparsity preserving projection for face feature extraction. ACPR 2011: 555-559 - [c6]Sheng Li, Xiao-Yuan Jing, David Zhang, Yong-Fang Yao, Lu-Sha Bian:
A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition. ICIP 2011: 3005-3008 - [c5]Xiao-Yuan Jing, Sheng Li, David Zhang, Jingyu Yang:
Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms. ICIP 2011: 3049-3052 - 2010
- [j2]Sheng Li, Xiao-Yuan Jing, Lu-Sha Bian, Shi-Qiang Gao, Qian Liu, Yong-Fang Yao:
Facial Image Recognition Based on a Statistical Uncorrelated Near Class Discriminant Approach. IEICE Trans. Inf. Syst. 93-D(4): 934-937 (2010) - [c4]Xiao-Yuan Jing, Qian Liu, Chao Lan, Jiang-Yue Man, Sheng Li, David Zhang:
Holistic orthogonal analysis of discriminant transforms for color face recognition. ICIP 2010: 3841-3844 - [c3]Xiao-Yuan Jing, Sheng Li, Yong-Fang Yao, Lu-Sha Bian, Jingyu Yang:
Kernel Uncorrelated Adjacent-class Discriminant Analysis. ICPR 2010: 706-709
2000 – 2009
- 2009
- [j1]Sheng Li, Yong-Fang Yao, Xiao-Yuan Jing, Heng Chang, Shi-Qiang Gao, David Zhang, Jing-Yu Yang:
Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV. IEICE Trans. Inf. Syst. 92-D(12): 2527-2530 (2009) - [c2]Xiao-Yuan Jing, Shou Gao, Yong-Fang Yao, Sheng Li, Shi-Qiang Gao, Shu Wu, Feng-Nan Yu, Yong-Chuan Zhang:
A Regularized Nonlinear Discrimination Approach. WGEC 2009: 541-544 - [c1]Xiao-Yuan Jing, Heng Chang, Sheng Li, Yong-Fang Yao, Qian Liu, Lu-Sha Bian, Jiang-Yue Man, Chao Wang:
Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors. WGEC 2009: 565-568
Coauthor Index
[c107] [i58] [c101] [i50] [i44] [c76] [c75] [i17] [j26] [i14] [j23] [j22] [j20] [c49] [i2] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [c43] [c42] [c38] [c37] [b1] [j12] [c30] [c29] [c28] [c27] [j11] [c26] [c25] [c24] [c22] [c21] [c20] [j10] [c19] [c18] [c17] [c16] [c15] [c14] [j9] [j8] [c13] [c12] [c11] [c10] [p2] [p1] [c9] [c8]
Xiaoyuan Jing
aka: Xiao-Yuan Jing
aka: Xiao-Yuan Jing
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last updated on 2024-12-10 20:52 CET by the dblp team
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