Hanlin Wu (吴翰林)

Affiliations Institute for AI Industry Research (AIR), Tsinghua University

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Now I’m a first year Ph.D. student at the Institute for AI Industry Research (AIR), Tsinghua University, co-advised by Prof. Jingjing Liu and Prof. Hao Zhou.

Previously, I earned my Bachelor’s degree in Artificial Intelligence, from the School of Computer Science and Technology at Beijing Institute of Technology.

I’m particularly interested in developing probabilistic methods to advance machine learning research. Specifically, I’m well-versed in generative modeling—such as diffusion models, flow matching, and Bayesian flow networks—and their applications in molecular generation, including small molecules, crystals, and proteins.

news

Jan 23, 2025 CrysBFN has been selected as Spotlight paper at ICLR 2025!

selected publications

  1. A Periodic Bayesian Flow for Material Generation
    Hanlin Wu, Yuxuan Song, Jingjing Gong, and 6 more authors
    In The Thirteenth International Conference on Learning Representations, 2025