I am an incoming Assistant Professor at the Artificial Intelligence Innovation and Incubation (AI³) Institute (人工智能创新与产业研究院) of Fudan University (复旦大学). Previously, I was a postdoctoral researcher at Westlake University (西湖大学), working with Prof. Tailin Wu. Before that, I worked at Damo Academy, Alibaba Group (阿里巴巴达摩院). I received my Ph.D. degree in Computer Science and Engineering from Zhejiang University (浙江大学) in 2020, advised by Prof. Xiaofei He and Prof. Deng Cai. During my doctoral studies, I was a joint PhD student in the group of Prof. Jieping Ye at the University of Michigan, Ann Arbor. Earlier, I completed my Bachelor’s degree in Mathematics and Applied Mathematics at Zhejiang University in 2013.

Openings

My group is actively recruiting for the following positions:

• Postdoc
• Research Assistants
• Ph.D. Students (Fall 2026) & Master’s Students (Fall 2026)
• Research Internships, open to undergraduate/master/doctoral students, and individuals on a gap year.

If you have a strong motivation for exploring interdisciplinary research at the intersection of AI and science, as outlined in the following Research Interests section, please do not hesitate to contact me.

Research Interests

My research interests primarily lie in the intersection of AI and scientific domains. My long-term objective is to develop intelligent systems that match the problem-solving capabilities of human scientists and engineers, achieving breakthroughs in key challenges across science and engineering. Currently, I focus on the following directions:

• AI for Science Foundational Research: (1) Efficient machine learning algorithms for scientific problems; (2) Universal approaches for modeling and computing complex systems (e.g., physical, biological, or engineering systems) that generalize across diverse domains; (3) Design of autonomous agent systems to enable automated scientific discovery.

• AI for Science Applications: (1) Developing AI methods to solve simulation, design, and control challenges in energy systems, embodied intelligence, and other critical engineering domains; (2) Applying AI methods to tackle major challenges in healthcare and medical domains.

News

• 2025/04 Our ICLR 2025 paper Wavelet Diffusion Neural Operator is featured by 集智俱乐部.
• 2025/03 Our ICLR 2025 paper CL-DiffPhyCon is nominated for the Outstanding Youth Paper Award at the China Embodied AI Conference (CEAI 2025). Thanks to all collaborators!
• 2025/02 Our ICLR 2025 paper CL-DiffPhyCon is featured by 机器之心.
• 2025/01 I am awarded the 2024 Outstanding Postdoc Award of Westlake University.
• 2024/12 Our NeurIPS 2025 paper DiffPhyCon is featured by 集智俱乐部.
• 2024/10 I am supported by the Outstanding Postdoctoral Funding Program of Zhejiang Province, China.
• 2024/05 I give an Oral Presentation on our paper Generative PDE Control at ICLR 2024 Workshop on AI4DifferentialEquations in Science.

Selected Publications/Preprints

FluidZero: Mastering Diverse Tasks in Fluid Systems through a Single Generative Model
Haodong Feng^*, Haoren Zheng^*, Peiyan Hu, Hongyuan Liu, Chenglei Yu, Long Wei, Ruiqi Feng, Jinlong Duan, Dixia Fan, Tailin Wu
Preprint. [PDF]

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
Preprint. [PDF]

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
ICML 2025. [PDF][Code]

Wavelet Diffusion Neural Operator
Peiyan Hu^*, Rui Wang^*, Xiang Zheng, Tao Zhang, Haodong Feng, Ruiqi Feng, Long Wei, Yue Wang, Zhi-Ming Ma, Tailin Wu
ICLR 2025. [PDF][Code]

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
ICLR 2025. [PDF][Code]

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
NeurIPS 2024. [PDF][Code]

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]

Compositional Generative Inverse Design
Tailin Wu^*, Takashi Maruyama^*, Long Wei^*, Tao Zhang^*, Yilun Du^*, Gianluca Iaccarino, Jure Leskovec
ICLR 2024 (Spotlight). [PDF][Code]

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 (TIP), 29, 4942-4951, 2020. [PDF][Code]