About Me

I am a postdoc researcher from Westlake University, working with Prof. Tailin Wu. Previously, I worked at Damo Academy, Alibaba Group. I received my Ph.D. degree in Computer Science and Engineering from Zhejiang University in 2020, advised by Prof. Xiaofei He and Prof. Deng Cai.

Research Interest

My research interest generally focuses on AI for science, which involves leveraging AI tools to tackle scientific and engineering problems. Specifically, I am interested in developing new AI methods for scientific discovery, simulation, as well as design of novel objects. I am also interested in applying these methods across domains like mechanical engineering, aerospace, and materials design.

Preprints (*equal contribution)

  1. Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
    Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun
    arXiv:2408.12171. [PDF]

  2. Closed-loop Diffusion Control of Complex Physical Systems
    Long Wei*, Haodong Feng*, Peiyan Hu, Tao Zhang, Yuchen Yang, Xiang Zheng, Ruiqi Feng, Dixia Fan, Tailin Wu
    arXiv:2408.03124. [PDF]

Recent Publication (*equal contribution)

  1. A Generative Approach to Control Complex Physical Systems
    Long Wei*, Peiyan Hu*, Ruiqi Feng*, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
    Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS) 2024. [PDF]

  2. Compositional Generative Inverse Design
    Tailin Wu*, Takashi Maruyama*, Long Wei*, Tao Zhang*, Yilun Du*, Gianluca Iaccarino, Jure Leskovec
    International Conference on Learning Representations (ICLR), 2024 (Spotlight). [PDF]

  3. SIF: Self-inspirited feature learning for person re-identification
    Long Wei, Zhenyong Wei, Zhongming Jin, Zhengxu Yu, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
    IEEE Transactions on Image Processing, 29, 4942-4951, 2020. [PDF]

  4. Decouple co-adaptation: Classifier randomization for person re-identification
    Long Wei, Zhenyong Wei, Zhongming Jin, Qianxiao Wei, Jianqiang Huang, Xian-Sheng Hua, Deng Cai, Xiaofei He
    Neurocomputing, 383, 1-9, 2020.

  5. Macar: Urban traffic light control via active multi-agent communication and action rectification
    Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
    Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence, IJCAI 2020. [PDF]

  6. Progressive Transfer Learning for Person Re-identification
    Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
    Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019. [PDF]