Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations

[ICML 2024] Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

Dynamically Masked Discriminator for Generative Adversarial Networks

[NeurIPS 2023] Wentian Zhang, Haozhe Liu, Bing Li, Jinheng Xie, Yawen Huang, Yuexiang Li, Yefeng Zheng, Bernard Ghanem

VisorGPT: Learning Visual Prior via Generative Pre-Training

[NeurIPS 2023] Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin, Yefeng Zheng, Linlin Shen, Mike Zheng Shou

Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions

[NeurIPS 2022] Fenglin Liu, Bang Yang, Chenyu You, Xian Wu, Shen Ge, Zhangdaihong Liu, Xu Sun, Yang Yang, David A. Clifton

Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations

[NeurIPS 2022] Peng Jin, JinFa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David A. Clifton, Jie Chen

PAC-Bayes Information Bottleneck

[ICLR 2022 (Spotlight)] Zifeng Wang, Shao-Lun Huang, Ercan Engin Kuruoglu, Jimeng Sun, Xi Chen, Yefeng Zheng

Stabilized Medical Image Attacks

[ICLR 2021 (Spotlight)] Gege Qi, Lijun Gong, Yibing Song, Kai Ma, Yefeng Zheng

Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback

[NeurIPS 2020] Zifeng Wang, Xi Chen, Rui Wen, Shao-Lun Huang, Ercan E. Kuruoglu, Yefeng Zheng