- Published Paper: 'Riemannian Consistency Model' accepted to NeurIPS 2025
- Published Papers: 4 papers accepted to ICLR 2025
- Published Paper: 'AI²BMD' accepted to Nature 2024
- Published Paper: 'Statistical Flow Matching' accepted to NeurIPS 2024
- Published Paper: 'Equivariant Neural Operator Learning with Graphon Convolution' accepted to NeurIPS 2023 as a Spotlight paper
- Position: Workflow Chair of the New Frontiers in Graph Learning Workshop at NeurIPS 2023
Research Experience
- Involved in MMLI initiative: A joint effort between UIUC CS School and Chemistry Department to develop a machine learning-based platform for molecular design
- Involved in CABBI initiative: A multi-institutional project to address the challenges of sustainable bioproducts
- Internship: Worked on the AI²BMD project during an internship at Microsoft Research Asia
Education
- Degree: Ph.D.
- School: University of Illinois Urbana-Champaign (UIUC)
- Advisor: Prof. Ge Liu (current), Prof. Jian Peng (previous)
- Additional: Studied chemistry during his freshman year
Background
- Research Interests: Generative modeling in AI4Science domains, with a special interest in manifold learning
- Professional Field: Computer Science, Artificial Intelligence
- Introduction: A fourth-year Ph.D. candidate in Computer Science at the University of Illinois Urbana-Champaign, focusing on combining continuous and discrete modalities in generative models for applications such as protein sequence-structure co-design and structure-based drug design.
Miscellany
- Personal Interest: Developing a machine-learning based automatic charter for Cytoid, a community-driven rhythm game inspired by Rayark's games Cytus and Cytus II