More from the Same Authors

• 2022 : Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning »
  Zhecheng Yuan · Zhecheng Yuan · Zhengrong Xue · Zhengrong Xue · Bo Yuan · Bo Yuan · Xueqian Wang · Xueqian Wang · Yi Wu · Yi Wu · Yang Gao · Yang Gao · Huazhe Xu · Huazhe Xu
• 2023 : Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning »
  Guozheng Ma · · Haoyu Wang · Lu Li · Zilin Wang · Zhen Wang · Li Shen · Xueqian Wang · Dacheng Tao
• 2023 Oral: Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape »
  Yan Sun · Li Shen · Shixiang Chen · Liang Ding · Dacheng Tao
• 2023 Poster: Are Large Kernels Better Teachers than Transformers for ConvNets? »
  Tianjin Huang · Lu Yin · Zhenyu Zhang · Li Shen · Meng Fang · Mykola Pechenizkiy · Zhangyang “Atlas” Wang · Shiwei Liu
• 2023 Poster: Improving the Model Consistency of Decentralized Federated Learning »
  Yifan Shi · Li Shen · Kang Wei · Yan Sun · Bo Yuan · Xueqian Wang · Dacheng Tao
• 2023 Poster: Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape »
  Yan Sun · Li Shen · Shixiang Chen · Liang Ding · Dacheng Tao
• 2023 Poster: Learning to Learn from APIs: Black-Box Data-Free Meta-Learning »
  Zixuan Hu · Li Shen · Zhenyi Wang · Baoyuan Wu · Chun Yuan · Dacheng Tao
• 2023 Poster: CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification »
  Nan Yin · Li Shen · Mengzhu Wang · Long Lan · Zeyu Ma · Chong Chen · Xian-Sheng Hua · Xiao Luo
• 2022 Poster: Understanding Robust Overfitting of Adversarial Training and Beyond »
  Chaojian Yu · Bo Han · Li Shen · Jun Yu · Chen Gong · Mingming Gong · Tongliang Liu
• 2022 Poster: DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training »
  Rong Dai · Li Shen · Fengxiang He · Xinmei Tian · Dacheng Tao
• 2022 Spotlight: Understanding Robust Overfitting of Adversarial Training and Beyond »
  Chaojian Yu · Bo Han · Li Shen · Jun Yu · Chen Gong · Mingming Gong · Tongliang Liu
• 2022 Spotlight: DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training »
  Rong Dai · Li Shen · Fengxiang He · Xinmei Tian · Dacheng Tao
• 2022 Poster: Improving Task-free Continual Learning by Distributionally Robust Memory Evolution »
  Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
• 2022 Poster: Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning »
  Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
• 2022 Spotlight: Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning »
  Chang Liu · Chenfei Lou · Runzhong Wang · Alan Yuhan Xi · Li Shen · Junchi Yan
• 2022 Spotlight: Improving Task-free Continual Learning by Distributionally Robust Memory Evolution »
  Zhenyi Wang · Li Shen · Le Fang · Qiuling Suo · Tiehang Duan · Mingchen Gao
• 2020 Poster: Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks »
  Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang
• 2018 Poster: An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method »
  Li Shen · Peng Sun · Yitong Wang · Wei Liu · Tong Zhang
• 2018 Oral: An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method »
  Li Shen · Peng Sun · Yitong Wang · Wei Liu · Tong Zhang
• 2017 Poster: GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization »
  Li Shen · Wei Liu · Ganzhao Yuan · Shiqian Ma
• 2017 Talk: GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization »
  Li Shen · Wei Liu · Ganzhao Yuan · Shiqian Ma