Preprints

  • How Does Learning Rate Decay Help Modern Neural Networks? [arxiv]
    • Kaichao You, Mingsheng Long, Jianmin Wang, Michael I. Jordan

Journal Articles

  • From Big to Small: Adaptive Learning to Partial-Set Domains [TPAMI] [arxiv] [IEEE Xplore]

    • Kaichao You*, Zhangjie Cao, Ziyang Zhang, Jianmin Wang, Mingsheng Long
  • Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs [JMLR] [paper] [code]

    • Kaichao You, Yong Liu, Ziyang Zhang, Jianmin Wang, Michael I. Jordan, Mingsheng Long
  • Tianshou: A Highly Modularized Deep Reinforcement Learning Library [JMLR] [arxiv] [code]

    • Jiayi Weng, Huayu Chen, Dong Yan, Kaichao You, Alexis Duburcq, Minghao Zhang, Hang Su, Jun Zhu
    • Github github stars
    • Core developers
  • Event-based Semantic Segmentation with Posterior Attention [TIP] [IEEE Xplore]

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

Conference Proceedings

Professional Activities

  • PC Member | Reviewer
    • TNNLS / WACV / IJCAI / AAAI / IEEE TIP / Neurocomputing / IEEE TPAMI / ICCV / CVPR / ICLR / ICML / NeurIPS

Invited Talks

  • Present oral talks and posters at MLA 2019, November 2nd - 3rd 2019

  • Advances in Domain Adaptation: Setting, Method and Model Selection at BAAI Live, Dec. 24, 2019

  • LogME: Practical Assessment of Pre-trained Models for Transfer Learning at BAAI Live, Mar. 10, 2021

  • Efficient Transfer of Pre-trained Models at Huawei Tengwan Forum (华为藤蔓论坛). Sep. 8, 2022

Competition