You, Kaichao

11 publications

MLOSS 2025 Depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchers Kaichao You, Runsheng Bai, Meng Cao, Jianmin Wang, Ion Stoica, Mingsheng Long

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

JMLR 2022 Ranking and Tuning Pre-Trained Models: A New Paradigm for Exploiting Model Hubs Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long

MLOSS 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, Jun Zhu

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

ECCV 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

ICML 2021 LogME: Practical Assessment of Pre-Trained Models for Transfer Learning Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long

NeurIPS 2020 Co-Tuning for Transfer Learning Kaichao You, Zhi Kou, Mingsheng Long, Jianmin Wang

ICLR 2020 How Does Learning Rate Decay Help Modern Neural Networks? Kaichao You, Mingsheng Long, Jianmin Wang, Michael I. Jordan

NeurIPS 2020 Stochastic Normalization Zhi Kou, Kaichao You, Mingsheng Long, Jianmin Wang

ICML 2019 Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation Kaichao You, Ximei Wang, Mingsheng Long, Michael Jordan