Published several papers, including 'MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space' (ICML'24), 'Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks' (ICLR'24 oral), 'Dynamically Fused Graph Network for Multi-hop Reasoning' (ACL'19 oral), and others.
Research Experience
Looking for summer internship in 2025! Participated in multiple projects, such as Bayesian Flow Networks for Structure-Based Drug Design (2023-2024, GenSI Lab, Tsinghua AIR) and Multi-hop Reasoning for Question Answering (2018-2019, APEX Lab, SJTU, and ByteDance AI Lab, Shanghai).
Education
Ph.D. in Computer Science at the University of Illinois, Urbana-Champaign, advised by Prof. Jiaxuan You, Prof. Ge Liu, and Prof. Jiawei Han; Bachelor's and Master's degrees from Shanghai Jiao Tong University, APEX lab, supervised by Prof. Yong Yu and Prof. Weinan Zhang.
Background
Research interests lie in the general area of machine learning, especially their applications in AI4Science, natural language processing, and recommender systems, with a wish to push the limit of scientific discovery, as well as build more accessible intelligent systems for academia, industry, and even society.
Miscellany
Personal interests and other information not detailed.