Curriculum Vitae

Education

Institute of Computing Technology, CAS, 2022-2025(expected)

M.S. in Computer Technology and Science
Supervisor: Dongbo Bu and Haicang Zhang
Reseach Area: AI for Science, Drug Discovery and Design

Beijing Institute of Technology, 2018-2022

B.S. in Information & Computing Science
Research Area: Optimization

Honors

2021, National Scholarship, Beijing Institute of Technology
2021, Undergraduate Scholarship, University of Chinese Academy of Sciences
2022, Outstanding Graduating Student, Beijing Institute of Technology
2023, E Fund Financial Technology Freshman Award, Institute of Computing Technology
2023, Director’s Outstanding Scholarship, Institute of Computing Technology

Service and leadership

Teaching Assistant, Algorithm Design and Analysis, UCAS, Fall 2023
President, Student Union of Department of Mathematics and Statistics, BIT, 2020-2021

Publications

*: Equal contribution

Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model

Author: Shiwei Liu*, Tian Zhu*, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang
Published in Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023)

Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints

Author: Tian Zhu, Milong Ren, Haicang Zhang
Published in Forty-first International Conference on Machine Learning (ICML 2024)

CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model

Author: Milong Ren, Tian Zhu, Haicang Zhang
Published in Forty-first International Conference on Machine Learning (ICML 2024)

GTAM: A Molecular Pretraining Model with Geometric Triangle Awareness

Author: Xiaoyang Hou*, Tian Zhu*, Milong Ren*, Bo Duan, Chunming Zhang, Dongbo Bu, Shiwei Sun
Published in Bioinformatics

Improving Molecular Graph Generation with Flow Matching and Optimal Transport

Author: Tian Zhu*, Xiaoyang Hou*, Milong Ren, Dongbo Bu, Xin Gao, Chunming Zhang, Shiwei Sun
Published in Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024), AIDrugX Workshop

Accurate structure prediction of immune proteins using parameter-efficient transfer learning

Author: Tian Zhu*, Milong Ren*, Zaikai He, Siyuan Tao, Ming Li, Dongbo Bu, Haicang Zhang
Published in BioRxiv