Scholar
Yuxuan Song
Google Scholar ID: xlnZ1OIAAAAJ
Tsinghua University
Citations & Impact
Citations
990
H-index
11
i10-index
12
Publications
20
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Smooth Interpolation for Improved Discrete Graph Generative Models', 'Piloting Structure-Based Drug Design via Modality-Specific Optimal Schedule', etc., all published in top-tier international conferences such as ICML and ICLR.
Research Experience
- Currently on the industry job market; Former researcher at Bytedance AI Lab, focusing on deep generative models and their application in structured data.
Education
- Third-year Ph.D. student in the Department of Computer Science and Technology at Tsinghua University, advised by Prof. Wei-Ying Ma; Bachelor and Master's degrees from Shanghai Jiao Tong University, advised by Prof. Yong Yu; Former researcher at Bytedance AI Lab, working with Prof. Hao Zhou and Prof. Lei Li.
Background
- Research Interests: Integrate generalizable intelligence (LLMs) with advanced AI tools (e.g., AF3) to solve challenging real-world scientific problems and boost scientific discovery (LLM4Science). Research focuses on geometric generative models (bio/chemical/material structures), discrete diffusion models (biological sequences, Diffusion LLMs), and reasoning in LLMs.
