Han Yu （禹含）

Han Yu （禹含）

PhD Candidate at THU

Hi, I’m a third-year PhD candidate in the Department of Computer Science and Technology at Tsinghua University, advised by Prof. Peng Cui. I got my bachelor degree in the Department of Computer Science and Technology at Tsinghua University in 2021. I also minored in statistics during my undergraduate stage.

My research interest lies in the problem of OOD (Out-of-Distribution) generalization from two complementary aspects. One is designing and implementing algorithms that can generalize to different data distributions, the other is understanding and evaluating the OOD generalization capability of existing algorithms and models. Feel free to contact me if you are looking for collaboration or you have any questions about our research.

E-mail: yuh21 [at] mails.tsinghua.edu.cn

Conference Proceedings

  • Domain-wise Data Acquisition to Improve Performance under Distribution Shift, ICML 2024 [paper] [code]
    • Yue He*, Dongbai Li*, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui
  • Rethinking the Evaluation Protocol of Domain Generalization, CVPR 2024 [paper] [arxiv]
    • Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui
  • Flatness-Aware Minimization for Domain Generalization, ICCV 2023 [paper] [arxiv]
    • Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui
  • NICO++: Towards Better Benchmarking for Domain Generalization, CVPR 2023 [paper] [arxiv] [code]
    • Xingxuan Zhang*, Yue He*, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui
  • Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization, CVPR 2023, (Highlight, top 2.5%) [paper] [arxiv] [code]
    • Xingxuan Zhang*, Renzhe Xu*, Han Yu, Hao Zou, Peng Cui
  • Stable Learning via Sparse Variable Independence, AAAI 2023 (Oral) [paper] [arxiv] [code]
    • Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang
  • NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges, ECCV 2022 workshop, [paper] [workshop]
    • Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui

Preprints

  • A Survey on Evaluation of Out-of-Distribution Generalization, [arxiv]
    • Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
  • Meta Adaptive Task Sampling for Few-Domain Generalization, [arxiv]
    • Zheyan Shen*, Han Yu*, Peng Cui, Jiashuo Liu, Xingxuan Zhang, Linjun Zhou, Furui Liu
  • Towards out-of-distribution generalization: A survey, [arxiv]
    • Jiashuo Liu*, Zheyan Shen*, Yue He, Xingxuan Zhang, Renzhe Xu, Han Yu, Peng Cui

* indicates equal contributions.

Professional Activities

  • Top reviewer: NeurIPS 2022 (10%).

  • Conference reviewer / Program committee member
    • ICML (2022-2024), NeurIPS (2022-2024), ICLR (2024), KDD (2024-2025), AAAI (2025), UAI (2022-2023).
  • Journal reviewer
    • IEEE Transactions on Multimedia (TMM).