Scholar
Xingyu Su
Google Scholar ID: K9kzof8AAAAJ
Texas A&M university
Citations & Impact
Citations
21
H-index
3
i10-index
0
Publications
5
Co-authors
5
list available
Publications
Resume (English only)
Academic Achievements
- - Publication: 'Learning to Discover Regulatory Elements for Gene Expression Prediction', ICLR Oral 2025
- - Publication: 'Reward-Guided Iterative Refinement in Diffusion Models at Test-Time with Applications to Protein and DNA Design', ICML 2025
- - Publication: 'Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design'
- - Publication: 'Dynamic Search for Inference-Time Alignment in Diffusion Models'
- - Publication: 'Language Models for Controllable DNA Sequence Design'
- - Publication: 'Autonomous Agents for Scientific Discovery: Orchestrating Scientists, Language, Code, and Physics'
Research Experience
- - Ph.D. Student, Texas A&M University, Sep 2023 - present
- - Recommendation Algorithm Engineer, Meituan, Feb 2023 - July 2023
- - Machine Learning Engineer Intern, Intel, Aug 2022 - Dec 2022
Education
- - Ph.D. in Computer Science, Texas A&M University, Sep 2023 - present, Advisor: Prof. Shuiwang Ji
- - M.S. in Computer Science, Shanghai Jiao Tong University, Sep 2020 - Feb 2023, Advisor: Prof. Yanyan Shen
- - B.E. Student, Shanghai Jiao Tong University, Sep 2016 - Aug 2020
Background
- Research Interests: Generative modeling and optimization, with a focus on discrete diffusion models, reinforcement learning methods, and large language models. Bio: Currently a 3rd-year Ph.D. student in the Department of Computer Science & Engineering at Texas A&M University, advised by Prof. Shuiwang Ji.
Miscellany
- Personal interests and other information not provided
