Li, Yichen

23 publications

NeurIPS 2025 3D-RAD: A Comprehensive 3D Radiology Med-VQA Dataset with Multi-Temporal Analysis and Diverse Diagnostic Tasks Xiaotang Gai, Jiaxiang Liu, Yichen Li, Zijie Meng, Jian Wu, Zuozhu Liu

NeurIPS 2025 Efficient Knowledge Transfer in Federated Recommendation for Joint Venture Ecosystem Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Cheng Wang, Wangshi.Ww, Yi Wang, Ruixuan Li

NeurIPS 2025 Enhancing Privacy in Multimodal Federated Learning with Information Theory Tianzhe Xiao, Yichen Li, Yining Qi, Yi Liu, Wangshi.Ww, Haozhao Wang, Yi Wang, Ruixuan Li

NeurIPS 2025 Feature Distillation Is the Better Choice for Model-Heterogeneous Federated Learning Yichen Li, Xiuying Wang, Wenchao Xu, Haozhao Wang, Yining Qi, Jiahua Dong, Ruixuan Li

ICML 2025 FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li

NeurIPS 2025 Interactive and Hybrid Imitation Learning: Provably Beating Behavior Cloning Yichen Li, Chicheng Zhang

ICCV 2025 MultiModal Action Conditioned Video Simulation Yichen Li, Antonio Torralba

NeurIPS 2025 Resource-Constrained Federated Continual Learning: What Does Matter? Yichen Li, Yuying Wang, Jiahua Dong, Haozhao Wang, Yining Qi, Rui Zhang, Ruixuan Li

ICML 2024 Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li, Chicheng Zhang

CVPR 2024 Category-Level Multi-Part Multi-Joint 3D Shape Assembly Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao

ICLR 2024 FedCDA: Federated Learning with Cross-Rounds Divergence-Aware Aggregation Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang

ICLRW 2024 Large Language Model Bias Mitigation from the Perspective of Knowledge Editing Ruizhe Chen, Yichen Li, Zikai Xiao, Zuozhu Liu

ICLR 2024 Learning to Jointly Understand Visual and Tactile Signals Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B. Tenenbaum, Antonio Torralba, Wojciech Matusik

ECCV 2024 Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li

CVPR 2024 Towards Efficient Replay in Federated Incremental Learning Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

CVPR 2023 DaFKD: Domain-Aware Federated Knowledge Distillation Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

ACML 2023 Detecting and Repairing Deviated Outputs of Compressed Models Yichen Li, Qi Pang, Dongwei Xiao, Zhibo Liu, Shuai Wang

CVPR 2023 Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang, Jen-tse Huang, Wenxuan Wang, Yichen Li, Weibin Wu, Xiaosen Wang, Yuxin Su, Michael R. Lyu

ICML 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik

NeurIPSW 2023 Skip Connections Increase the Capacity of Associative Memories in Variable Binding Mechanisms Yi Xie, Yichen Li, Akshay Rangamani

NeurIPS 2022 On Efficient Online Imitation Learning via Classification Yichen Li, Chicheng Zhang

ECCV 2020 Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation Xingchao Peng, Yichen Li, Kate Saenko

ECCV 2020 Learning 3D Part Assembly from a Single Image Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas