CV

Education

Chinese Academy of Sciences, 2022-2025(expected)

• Institute of Computing Technology
• M.S. in Computer Science
• Supervisor: Dongbo Bu and Haicang Zhang
• Reseach: AI for Science, Generative Models in Geometric Deep Learning

Beijing Institute of Technology, 2018-2022

• Department of Mathematics and Statistics
• B.S. in Information & Computing Science
• Research: Optimization

Work experience

• Summer 2021: Research Assistant
  • Institute of Computing Technology
  • Duties included: Protein Structure Prediction Method ProFOLD2
  • Supervisor: Dongbo Bu

Honors

• National Scholarship, 2021
• Undergraduate Scholarship from the University of Chinese Academy of Sciences, 2021
• Outstanding Graduating Student in Beijing Institute of Technology, 2022
• E Fund Financial Technology Freshman Award (Corporate Sponsored Scholarship), 2023
• Director’s Outstanding Scholarship, 2024

Research Interest

• Deep Probabilistic Generative Model for Drug (Molecule and Protein) Design
• The Theory of Deep Probabilistic Generative Model
• Geometric Deep Learning for Biology

Publications

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

Liu, Shiwei, Zhu, Tian, et al. "Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model." Advances in Neural Information Processing Systems 36 (2024).

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

Zhu, Tian, Milong Ren, and Haicang Zhang. "Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints." Forty-first International Conference on Machine Learning.

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

Ren, Milong, Tian Zhu, and Haicang Zhang. "CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model." Forty-first International Conference on Machine Learning.