Kaichao You

According to our database, Kaichao You authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

UCCL-EP: Portable Expert-Parallel Communication.

Ziming Mao, Yihan Zhang, Chihan Cui, Kaichao You, Zhongjie Chen, Zhiying Xu, Scott Shenker, Costin Raiciu, Yang Zhou, Ion Stoica

CoRR, December, 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, Costin Raiciu, Ion Stoica

CoRR, April, 2025

DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning.

Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Peiyi Wang, Qihao Zhu, Runxin Xu, Ruoyu Zhang, Shirong Ma, Xiao Bi, Xiaokang Zhang, Xingkai Yu, Yu Wu, Z. F. Wu, Zhibin Gou, Zhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chong Ruan, Damai Dai, Deli Chen, Dongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, Hao Zhang, Hanwei Xu, Honghui Ding, Huazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi Li, Jingchang Chen, Jingyang Yuan, Jinhao Tu, Junjie Qiu, Junlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaichao You, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui Tang, Mingxu Zhou, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Tao Yun, Tian Pei, Tianyu Sun, Tao Wang, Wangding Zeng, Wen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang

Nat., 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

J. Mach. Learn. Res., 2025

Jenga: Effective Memory Management for Serving LLM with Heterogeneity.

Chen Zhang, Kuntai Du, Shu Liu, Woosuk Kwon, Xiangxi Mo, Yufeng Wang, Xiaoxuan Liu, Kaichao You, Zhuohan Li, Mingsheng Long, Jidong Zhai, Joseph Gonzalez, Ion Stoica

Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

2024

Efficient ConvBN Blocks for Transfer Learning and Beyond.

Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Event-Based Semantic Segmentation With Posterior Attention.

Zexi Jia, Kaichao You, Weihua He, Yang Tian, Yongxiang Feng, Yaoyuan Wang, Xu Jia, Yihang Lou, Jingyi Zhang, Guoqi Li, Ziyang Zhang

IEEE Trans. Image Process., 2023

From Big to Small: Adaptive Learning to Partial-Set Domains.

Zhangjie Cao, Kaichao You, Ziyang Zhang, Jianmin Wang, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., 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

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

J. Mach. Learn. Res., 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

J. Mach. Learn. Res., 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

Proceedings of the Computer Vision - ECCV 2022, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Ranking and Tuning Pre-trained Models: A New Paradigm of Exploiting Model Hubs.

Kaichao You, Yong Liu, Jianmin Wang, Michael I. Jordan, Mingsheng Long

CoRR, 2021

Tianshou: a Highly Modularized Deep Reinforcement Learning Library.

Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu

CoRR, 2021

LogME: Practical Assessment of Pre-trained Models for Transfer Learning.

Kaichao You, Yong Liu, Jianmin Wang, Mingsheng Long

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Co-Tuning for Transfer Learning.

Kaichao You, Zhi Kou, Mingsheng Long, Jianmin Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Stochastic Normalization.

Zhi Kou, Kaichao You, Mingsheng Long, Jianmin Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning Stages: Phenomenon, Root Cause, Mechanism Hypothesis, and Implications.

Kaichao You, Mingsheng Long, Michael I. Jordan, Jianmin Wang

CoRR, 2019

Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation.

Kaichao You, Ximei Wang, Mingsheng Long, Michael I. Jordan

Proceedings of the 36th International Conference on Machine Learning, 2019

Universal Domain Adaptation.

Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning to Transfer Examples for Partial Domain Adaptation.

Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019