Learning to Transfer Examples for Partial Domain Adaptation. - Zhangjie Cao; Kaichao You; Mingsheng Long; Jianmin Wang 001; Qiang Yang 001 (CVPR, 2019)

Universal Domain Adaptation. - Kaichao You; Mingsheng Long; Zhangjie Cao; Jianmin Wang 001; Michael I. Jordan (CVPR, 2019)

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation. - Kaichao You; Ximei Wang; Mingsheng Long; Michael I. Jordan (ICML, 2019)

Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications. - Kaichao You; Mingsheng Long; Michael I. Jordan; Jianmin Wang 001 (CoRR, 2019)

Stochastic Normalization. - Zhi Kou; Kaichao You; Mingsheng Long; Jianmin Wang 001 (NeurIPS, 2020)

Co-Tuning for Transfer Learning. - Kaichao You; Zhi Kou; Mingsheng Long; Jianmin Wang 001 (NeurIPS, 2020)

LogME: Practical Assessment of Pre-trained Models for Transfer Learning. - Kaichao You; Yong Liu; Jianmin Wang 001; Mingsheng Long (ICML, 2021)

Tianshou: a Highly Modularized Deep Reinforcement Learning Library. - Jiayi Weng; Huayu Chen; Dong Yan; Kaichao You; Alexis Duburcq; Minghao Zhang; Hang Su 006; Jun Zhu 001 (CoRR, 2021)

Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs. - Kaichao You; Yong Liu; Jianmin Wang 001; Michael I. Jordan; Mingsheng Long (CoRR, 2021)

TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. - Weihua He; Kaichao You; Zhendong Qiao; Xu Jia 012; Ziyang Zhang; Wenhui Wang 001; Huchuan Lu; Yaoyuan Wang; Jianxing Liao (CVPR, 2022)

Video Interpolation by Event-Driven Anisotropic Adjustment of Optical Flow. - Song Wu; Kaichao You; Weihua He; Chen Yang; Yang Tian; Yaoyuan Wang; Ziyang Zhang; Jianxing Liao (ECCV (7), 2022)

Tianshou: A Highly Modularized Deep Reinforcement Learning Library. - Jiayi Weng; Huayu Chen; Dong Yan; Kaichao You; Alexis Duburcq; Minghao Zhang; Yi Su; Hang Su 006; Jun Zhu 001 (J. Mach. Learn. Res., 2022)

Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs. - Kaichao You; Yong Liu; Ziyang Zhang; Jianmin Wang 001; Michael I. Jordan; Mingsheng Long (J. Mach. Learn. Res., 2022)

Test-Time Training-Free Domain Adaptation. - Yongxiang Feng; Weihua He; Kaichao You; Bing Liu; Ziyang Zhang; Yaoyuan Wang; Minglei Li; Yihang Lou; Jiawei Li; Guoqi Li; Jianxing Liao (ICASSP, 2023)

Tune-Mode ConvBN Blocks For Efficient Transfer Learning. - Kaichao You; Anchang Bao; Guo Qin; Meng Cao; Ping Huang; Jiulong Shan; Mingsheng Long (CoRR, 2023)

From Big to Small: Adaptive Learning to Partial-Set Domains. - Zhangjie Cao; Kaichao You; Ziyang Zhang; Jianmin Wang 001; Mingsheng Long (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Event-Based Semantic Segmentation With Posterior Attention. - Zexi Jia; Kaichao You; Weihua He; Yang Tian; Yongxiang Feng; Yaoyuan Wang; Xu Jia 012; Yihang Lou; Jingyi Zhang; Guoqi Li; Ziyang Zhang (IEEE Trans. Image Process., 2023)

Efficient ConvBN Blocks for Transfer Learning and Beyond. - Kaichao You; Guo Qin; Anchang Bao; Meng Cao; Ping Huang; Jiulong Shan; Mingsheng Long (ICLR, 2024)

depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers. - Kaichao You; Runsheng Bai; Meng Cao; Jianmin Wang 001; Ion Stoica; Mingsheng Long (CoRR, 2024)

Jenga: Effective Memory Management for Serving LLM with Heterogeneity. - Chen Zhang 001; Kuntai Du; Shu Liu; Woosuk Kwon; Xiangxi Mo; Yufeng Wang; Xiaoxuan Liu; Kaichao You; Zhuohan Li 001; Mingsheng Long; Jidong Zhai; Joseph Gonzalez 001; et al. (CoRR, 2025)

An Extensible Software Transport Layer for GPU Networking. - Yang Zhou; Zhongjie Chen; Ziming Mao; ChonLam Lao; Shuo Yang; Pravein Govindan Kannan; Jiaqi Gao; Yilong Zhao; Yongji Wu; Kaichao You; Fengyuan Ren; Zhiying Xu; et al. (CoRR, 2025)