Scholar
Kaiyuan Gao
Google Scholar ID: Or77MPQAAAAJ
Huazhong University of Science and Technology
Citations & Impact
Citations
634
H-index
9
i10-index
9
Publications
20
Co-authors
12
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- - Qwen-Image Technical Report
- - Fabind: Fast and accurate protein-ligand binding
- - FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation
- - Fast and Accurate Blind Flexible Docking
- - Pre-training antibody language models for antigen-specific computational antibody design
- - CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions
- - Tokenizing 3d molecule structure with quantized spherical coordinates
- - 3D-MolT5: Towards Unified 3D Molecule-Text Modeling with 3D Molecular Tokenization
- - Biot5: Enriching cross-modal integration in biology with chemical knowledge and natural language associations
- - Biot5+: Towards generalized biological understanding with iupac integration and multi-task tuning
Research Experience
- During his time at Microsoft Research, he worked on 3D molecular structure modeling and molecule generation using diffusion and language models, with in-depth research on molecular docking. Currently, he is a core contributor to the Qwen-Image project, actively contributing to research on image editing and visual generation within the Qwen team.
Education
- Ph.D.: Huazhong University of Science and Technology, Advisors: Prof. Kun He and Dr. Tie-Yan Liu; B.S.: Department of Artificial Intelligence and Automation, Huazhong University of Science and Technology, July 2021.
Background
- Research Interests: 3D molecular structure modeling, molecule generation, image editing, and visual generation. Professional Field: Artificial Intelligence and Automation. Biography: Ph.D. student at Huazhong University of Science and Technology, jointly supervised by Prof. Kun He and Dr. Tie-Yan Liu.
Miscellany
- Looking for industrial research positions. Expect to graduate in June 2026.
