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 vision is to develop human-level general intelligent systems and achieve significant breakthroughs in addressing key challenges across scientific and engineering domains. My current research focuses on:

1. Generative AI Development & Deployment: Investigate efficient learning and sampling methods, while applying these generative techniques to accelerate scientific/engineering applications such as inverse design and control tasks.

2. Scientific Research Agents: Explore capability boundaries of large language models and multimodal foundation models, developing intelligent agent systems composed of these advanced models for automated scientific research.

Recent Publication/Preprints (* means equal contribution) [Full list]

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. From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control
   Peiyan Hu, Xiaowei Qian, Wenhao Deng, Rui Wang, Haodong Feng, Ruiqi Feng, Tao Zhang, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu. Forty-Second International Conference on Machine Learning (ICML), 2025. [PDF]

3. CL-DiffPhyCon: Closed-loop Diffusion Control of Complex Physical Systems
   Long Wei^*, Haodong Feng^*, Yuchen Yang, Ruiqi Feng, Peiyan Hu, Xiang Zheng, Tao Zhang, Dixia Fan, Tailin Wu
   International Conference on Learning Representations (ICLR), 2025. [PDF][Code] Nomination of Outstanding Youth Paper Award at [China Embodied AI Conference (CEAI) 2025]

4. DiffPhyCon: 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][Code]

5. Generative PDE Control
   Long Wei^*, Peiyan Hu^*, Ruiqi Feng^*, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu
   [ICLR 2024 Workshop on AI4DifferentialEquations In Science] (Oral). [PDF][Code]

6. 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][Code]

7. 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]

8. 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.