Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. - Yuxuan Song; Jingjing Gong; Minkai Xu; Ziyao Cao; Yanyan Lan; Stefano Ermon; Hao Zhou 012; Wei-Ying Ma (NeurIPS, 2023)

Equivariant Flow Matching with Hybrid Probability Transport. - Yuxuan Song; Jingjing Gong; Minkai Xu; Ziyao Cao; Yanyan Lan; Stefano Ermon; Hao Zhou 012; Wei-Ying Ma (CoRR, 2023)

Structure-Based Molecule Optimization via Gradient-Guided Bayesian Update. - Keyue Qiu; Yuxuan Song; Jie Yu; Hongbo Ma; Ziyao Cao; Zhilong Zhang; Yushuai Wu; Mingyue Zheng; Hao Zhou 012; Wei-Ying Ma (CoRR, 2024)

Steering Protein Family Design through Profile Bayesian Flow. - Jingjing Gong; Yu Pei; Siyu Long; Yuxuan Song; Zhe Zhang; Wenhao Huang 001; Ziyao Cao; Shuyi Zhang; Hao Zhou 012; Wei-Ying Ma (ICLR, 2025)

A Periodic Bayesian Flow for Material Generation. - Hanlin Wu; Yuxuan Song; Jingjing Gong; Ziyao Cao; Yawen Ouyang; Jianbing Zhang; Hao Zhou 012; Wei-Ying Ma; Jingjing Liu (ICLR, 2025)