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Mengzhu Wang
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2020 – today
- 2024
- [j25]Wenhao Shao, Praboda Rajapaksha, Noël Crespi, Xuechen Zhao, Mengzhu Wang, Nan Yin, Xinwang Liu, Zhigang Luo:
Consistency-constrained unsupervised video anomaly detection framework based on Co-teaching. Neurocomputing 610: 128589 (2024) - [j24]Mengzhu Wang, Junyang Chen, Ye Wang, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
TFC: Transformer Fused Convolution for Adversarial Domain Adaptation. IEEE Trans. Comput. Soc. Syst. 11(1): 697-706 (2024) - [j23]Ye Wang, Yingmin Zhou, Mengzhu Wang, Zhenghan Chen, Zhiping Cai, Junyang Chen, Victor C. M. Leung:
Multidocument Aspect Classification for Aspect-Based Abstractive Summarization. IEEE Trans. Comput. Soc. Syst. 11(1): 1483-1492 (2024) - [j22]Tianyi Liang, Mengzhu Wang, Junyang Chen, Dingyao Chen, Zhigang Luo, Victor C. M. Leung:
Compressing the Multiobject Tracking Model via Knowledge Distillation. IEEE Trans. Comput. Soc. Syst. 11(2): 2713-2723 (2024) - [j21]Kun Huang, Xiaobiao Mao, Yu Zhang, Mengzhu Wang, Xinhui He, Guihao Ran, Qin Hu, Zhennan Lin:
A Portable and Highly Integrated Solid-State Quantum Magnetometer Module Based on the Diamond NV Color Centers. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [j20]Mengzhu Wang, Yuehua Liu, Jianlong Yuan, Shanshan Wang, Zhibin Wang, Wei Wang:
Inter-Class and Inter-Domain Semantic Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 1338-1347 (2024) - [j19]Mengzhu Wang, Junyang Chen, Ye Wang, Shanshan Wang, Lin Li, Hao Su, Zhiguo Gong, Kaishun Wu, Zhenghan Chen:
Joint Adversarial Domain Adaptation With Structural Graph Alignment. IEEE Trans. Netw. Sci. Eng. 11(1): 604-612 (2024) - [c29]Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. AAAI 2024: 5336-5344 - [c28]Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen:
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. AAAI 2024: 15091-15099 - [c27]Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Huan Xiong, Bin Gu:
Dynamic Spiking Graph Neural Networks. AAAI 2024: 16495-16503 - [c26]Jiaming Zhuo, Feiyang Qin, Can Cui, Kun Fu, Bingxin Niu, Mengzhu Wang, Yuanfang Guo, Chuan Wang, Zhen Wang, Xiaochun Cao, Liang Yang:
Improving Graph Contrastive Learning via Adaptive Positive Sampling. CVPR 2024: 23179-23187 - [c25]Chunqing Ruan, Mengzhu Wang, Shanshan Wang, Tianyi Liang, Wei Yu:
SBM: Smoothness-Based Minimization for Domain Generalization. ICASSP 2024: 2625-2629 - [c24]Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo:
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption. ICLR 2024 - [i15]Nan Yin, Mengzhu Wang, Zhenghan Chen, Giulia De Masi, Bin Gu, Huan Xiong:
Dynamic Spiking Graph Neural Networks. CoRR abs/2401.05373 (2024) - [i14]Nan Yin, Mengzhu Wang, Li Shen, Hitesh Laxmichand Patel, Baopu Li, Bin Gu, Huan Xiong:
Continuous Spiking Graph Neural Networks. CoRR abs/2404.01897 (2024) - [i13]Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen:
Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning? CoRR abs/2405.12094 (2024) - [i12]Shanshan Wang, Hao Zhou, Xun Yang, Zhenwei He, Mengzhu Wang, Xingyi Zhang, Meng Wang:
Gradually Vanishing Gap in Prototypical Network for Unsupervised Domain Adaptation. CoRR abs/2405.17774 (2024) - [i11]Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. CoRR abs/2406.00629 (2024) - [i10]Houcheng Su, Mengzhu Wang, Jiao Li, Bingli Wang, Daixian Liu, Zeheng Wang:
Open-World Test-Time Training: Self-Training with Contrast Learning. CoRR abs/2409.09591 (2024) - [i9]Qinglun Li, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen:
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement. CoRR abs/2410.06482 (2024) - [i8]Yingxu Wang, Siwei Liu, Mengzhu Wang, Shangsong Liang, Nan Yin:
Degree Distribution based Spiking Graph Networks for Domain Adaptation. CoRR abs/2410.06883 (2024) - [i7]Mengzhu Wang, Jiao Li, Houcheng Su, Nan Yin, Liang Yang, Shen Li:
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. CoRR abs/2411.13147 (2024) - [i6]Houcheng Su, Mengzhu Wang, Jiao Li, Nan Yin, Liang Yang, Li Shen:
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation. CoRR abs/2411.13152 (2024) - 2023
- [j18]Huibin Tan, Mengzhu Wang, Tianyi Liang, Liyang Xu, Yuhua Tang, Long Lan, Wenjing Yang:
Self-aware circular response-guided attention for robust siamese tracking. Appl. Intell. 53(12): 16293-16308 (2023) - [j17]Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong:
A Neural Inference of User Social Interest for Item Recommendation. Data Sci. Eng. 8(3): 223-233 (2023) - [j16]Mengzhu Wang, Dingyao Chen, Fangzhou Tan, Tianyi Liang, Long Lan, Xiang Zhang, Zhigang Luo:
Domain-specific feature recalibration and alignment for multi-source unsupervised domain adaptation. IET Comput. Vis. 17(1): 26-38 (2023) - [j15]Mengzhu Wang, Shanshan Wang, Ye Wang, Wei Wang, Tianyi Liang, Junyang Chen, Zhigang Luo:
Boosting unsupervised domain adaptation: A Fourier approach. Knowl. Based Syst. 264: 110325 (2023) - [j14]Wei Wang, Ziyi Wang, Mengzhu Wang, Haojie Li, Zhihui Wang:
Importance filtered soft label-based deep adaptation network. Knowl. Based Syst. 265: 110397 (2023) - [j13]Shanshan Wang, Lei Zhang, Pichao Wang, Mengzhu Wang, Xingyi Zhang:
BP-triplet net for unsupervised domain adaptation: A Bayesian perspective. Pattern Recognit. 133: 108993 (2023) - [j12]Mengzhu Wang, Shanshan Wang, Wei Wang, Li Shen, Xiang Zhang, Long Lan, Zhigang Luo:
Reducing bi-level feature redundancy for unsupervised domain adaptation. Pattern Recognit. 137: 109319 (2023) - [j11]Wei Wang, Mengzhu Wang, Xiao Dong, Long Lan, Quannan Zu, Xiang Zhang, Cong Wang:
Class-specific and self-learning local manifold structure for domain adaptation. Pattern Recognit. 142: 109654 (2023) - [j10]Wenhao Shao, Ruliang Xiao, Praboda Rajapaksha, Mengzhu Wang, Noël Crespi, Zhigang Luo, Roberto Minerva:
Video anomaly detection with NTCN-ML: A novel TCN for multi-instance learning. Pattern Recognit. 143: 109765 (2023) - [j9]Wei Yu, Haiyan Yang, Mengzhu Wang, Xiaodong Wang:
Bravely Say I Don't Know: Relational Question-Schema Graph for Text-to-SQL Answerability Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(4): 111:1-111:18 (2023) - [j8]Junyang Chen, Mengzhu Wang, Haodi Zhang, Zhenghua Xu, Xueliang Li, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
IRLM: Inductive Representation Learning Model for Personalized POI Recommendation. IEEE Trans. Comput. Soc. Syst. 10(5): 2827-2836 (2023) - [j7]Tianyi Liang, Baopu Li, Mengzhu Wang, Huibin Tan, Zhigang Luo:
A Closer Look at the Joint Training of Object Detection and Re-Identification in Multi-Object Tracking. IEEE Trans. Image Process. 32: 267-280 (2023) - [j6]Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao:
OMG: Towards Effective Graph Classification Against Label Noise. IEEE Trans. Knowl. Data Eng. 35(12): 12873-12886 (2023) - [c23]Junyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li, Victor C. M. Leung, Mengzhu Wang, Ming Yang:
A Topic-Aware Graph-Based Neural Network for User Interest Summarization and Item Recommendation in Social Media. DASFAA (2) 2023: 537-546 - [c22]Kun Hu, Mingyu Cao, Mengzhu Wang, Long Lan, Wenjing Yang, Huibin Tan:
Enhanced Dcf Tracker Regularized by Reliable Sample Construction. ICASSP 2023: 1-5 - [c21]Kun Hu, Xianchen Zhou, Mingyu Cao, Mengzhu Wang, Guangjie Gao, Wenjing Yang, Huibin Tan:
Progressive Perception Learning for Distribution Modulation in Siamese Tracking. ICASSP 2023: 1-2 - [c20]Huibin Tan, Kun Hu, Mingyu Cao, Mengzhu Wang, Liyang Xu, Wenjing Yang:
Decomposition, Interaction, Reconstruction Meets Global Context Learning In Visual Tracking. ICASSP 2023: 1-5 - [c19]Mengzhu Wang, Huajun She, Yiping P. Du:
Accelerated Dynamic Renal Phase-Contrast MRI using A Score-based Diffusion Network. ICBBE 2023: 54-58 - [c18]Hongzhou Wu, Yifan Lyu, Xingyu Shen, Xuechen Zhao, Mengzhu Wang, Xiang Zhang, Zhigang Luo:
Atomic-action-based Contrastive Network for Weakly Supervised Temporal Language Grounding. ICME 2023: 1523-1528 - [c17]Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo:
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. ICML 2023: 40040-40053 - [c16]Ye Wang, Junyang Chen, Mengzhu Wang, Hao Li, Wei Wang, Houcheng Su, Zhihui Lai, Wei Wang, Zhenghan Chen:
A Closer Look at Classifier in Adversarial Domain Generalization. ACM Multimedia 2023: 280-289 - [c15]Mengzhu Wang, Jianlong Yuan, Zhibin Wang:
Mixture-of-Experts Learner for Single Long-Tailed Domain Generalization. ACM Multimedia 2023: 290-299 - [c14]Junyang Chen, Jialong Wang, Zhijiang Dai, Huisi Wu, Mengzhu Wang, Qin Zhang, Huan Wang:
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network. ACM Multimedia 2023: 966-974 - [c13]Shanshan Wang, Yiyang Chen, Zhenwei He, Xun Yang, Mengzhu Wang, Quanzeng You, Xingyi Zhang:
Disentangled Representation Learning with Causality for Unsupervised Domain Adaptation. ACM Multimedia 2023: 2918-2926 - [c12]Mengzhu Wang, Junyang Chen, Huan Wang, Huisi Wu, Zhidan Liu, Qin Zhang:
Interpolation Normalization for Contrast Domain Generalization. ACM Multimedia 2023: 2936-2945 - [c11]Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen:
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception. NeurIPS 2023 - [i5]Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo:
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification. CoRR abs/2306.04979 (2023) - [i4]Houcheng Su, Daixian Liu, Mengzhu Wang, Wei Wang:
Singular Value Penalization and Semantic Data Augmentation for Fully Test-Time Adaptation. CoRR abs/2312.08378 (2023) - 2022
- [j5]Mengzhu Wang, Paul Li, Li Shen, Ye Wang, Shanshan Wang, Wei Wang, Xiang Zhang, Junyang Chen, Zhigang Luo:
Informative pairs mining based adaptive metric learning for adversarial domain adaptation. Neural Networks 151: 238-249 (2022) - [j4]Wei Wang, Baopu Li, Mengzhu Wang, Feiping Nie, Zhihui Wang, Haojie Li:
Confidence Regularized Label Propagation Based Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3319-3333 (2022) - [j3]Junyang Chen, Xueliang Li, Yuanman Li, Paul Li, Mengzhu Wang, Xiang Zhang, Zhiguo Gong, Kaishun Wu, Victor C. M. Leung:
A Simple Yet Effective Layered Loss for Pre-Training of Network Embedding. IEEE Trans. Netw. Sci. Eng. 9(3): 1827-1837 (2022) - [c10]Mengzhu Wang, Shan An, Xiao Luo, Xiong Peng, Wei Yu, Junyang Chen, Zhigang Luo:
Attention-based Adversarial Partial Domain Adaptation. ICASSP 2022: 3144-3148 - [c9]Mengzhu Wang, Shanshan Wang, Tianwei Yan, Zhigang Luo:
AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer. ICONIP (4) 2022: 227-238 - [c8]Dingyao Chen, Long Lan, Mengzhu Wang, Xiang Zhang, Tianyi Liang, Zhigang Luo:
Logit Distillation via Student Diversity. ICONIP (5) 2022: 338-349 - [c7]Dingyao Chen, Mengzhu Wang, Xiang Zhang, Tianyi Liang, Zhigang Luo:
Implicit Feature Alignment For Knowledge Distillation. ICTAI 2022: 402-408 - [c6]Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li:
Semantic Data Augmentation based Distance Metric Learning for Domain Generalization. ACM Multimedia 2022: 3214-3223 - [c5]Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo, Chong Chen, Zhigang Luo, Xian-Sheng Hua:
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification. ACM Multimedia 2022: 3470-3479 - [i3]Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding:
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. CoRR abs/2204.05596 (2022) - [i2]Mengzhu Wang, Jianlong Yuan, Qi Qian, Zhibin Wang, Hao Li:
Implicit Semantic Augmentation for Distance Metric Learning in Domain Generalization. CoRR abs/2208.02803 (2022) - 2021
- [j2]Wei Yu, Tao Chang, Xiaoting Guo, Mengzhu Wang, Xiaodong Wang:
An interaction-modeling mechanism for context-dependent Text-to-SQL translation based on heterogeneous graph aggregation. Neural Networks 142: 573-582 (2021) - [c4]Wei Yu, Xiaoting Guo, Fei Chen, Tao Chang, Mengzhu Wang, Xiaodong Wang:
Similar Questions Correspond to Similar SQL Queries: A Case-Based Reasoning Approach for Text-to-SQL Translation. ICCBR 2021: 294-308 - [c3]Dongting Sun, Mengzhu Wang, Xurui Ma, Tianming Zhang, Nan Yin, Wei Yu, Zhigang Luo:
A Focally Discriminative Loss for Unsupervised Domain Adaptation. ICONIP (1) 2021: 54-64 - [c2]Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang:
Spatio-Temporal Action Detector with Self-Attention. IJCNN 2021: 1-8 - [c1]Mengzhu Wang, Wei Wang, Baopu Li, Xiang Zhang, Long Lan, Huibin Tan, Tianyi Liang, Wei Yu, Zhigang Luo:
InterBN: Channel Fusion for Adversarial Unsupervised Domain Adaptation. ACM Multimedia 2021: 3691-3700 - 2020
- [j1]Jiaji Mao, Weike Zeng, Qinyuan Zhang, Zehong Yang, Xu Yan, Huiting Zhang, Mengzhu Wang, Guang Yang, Min-Xiong Zhou, Jun Shen:
Differentiation between high-grade gliomas and solitary brain metastases: a comparison of five diffusion-weighted MRI models. BMC Medical Imaging 20(1): 124 (2020) - [i1]Mengzhu Wang, Xiang Zhang, Long Lan, Wei Wang, Huibin Tan, Zhigang Luo:
Improving Unsupervised Domain Adaptation by Reducing Bi-level Feature Redundancy. CoRR abs/2012.15732 (2020)
Coauthor Index
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