Li, Xin-Chun

10 publications

MLJ 2024 Aligning Model Outputs for Class Imbalanced Non-IID Federated Learning Lan Li, De-Chuan Zhan, Xin-Chun Li

ICML 2024 Enhancing Class-Imbalanced Learning with Pre-Trained Guidance Through Class-Conditional Knowledge Distillation Lan Li, Xin-Chun Li, Han-Jia Ye, De-Chuan Zhan

NeurIPS 2024 Exploring and Exploiting the Asymmetric Valley of Deep Neural Networks Xin-Chun Li, Jin-Lin Tang, Bo Zhang, Lan Li, De-Chuan Zhan

ICML 2024 MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation Bowen Tao, Xin-Chun Li, De-Chuan Zhan

ICML 2024 Revisit the Essence of Distilling Knowledge Through Calibration Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan

NeurIPS 2022 Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li, Wen-shu Fan, Shaoming Song, Yinchuan Li, Bingshuai Li, Shao Yunfeng, De-Chuan Zhan

CVPR 2022 Federated Learning with Position-Aware Neurons Xin-Chun Li, Yi-Chu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan

ECML-PKDD 2021 FedPHP: Federated Personalization with Inherited Private Models Xin-Chun Li, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

AAAI 2021 Task Cooperation for Semi-Supervised Few-Shot Learning Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

IJCAI 2019 Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu