Chaoran Cheng
Scholar

Chaoran Cheng

Google Scholar ID: SrGZZ1wAAAAJ
University of Illinois Urbana-Champaign
Machine LearningBioinformatics
Citations & Impact
All-time
Citations
278
 
H-index
8
 
i10-index
7
 
Publications
17
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - 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)
  • - Time: Ongoing
  • - Major: Computer Science
  • - Bachelor's Degree: Peking University, Computer Science
  • - 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
Co-authors
0 total
Co-authors: 0 (list not available)