Yiming Qin
Scholar

Yiming Qin

Google Scholar ID: x1lP78AAAAAJ
EPFL, LTS4
generative modelsgraph machine learningdrug discovery
Citations & Impact
All-time
Citations
113
 
H-index
3
 
i10-index
3
 
Publications
6
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • - DeFoG: Discrete Flow Matching for Graph Generation, presented as an Oral at ICML 2025
  • - MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
  • - Generating Directed Graphs with Dual Attention and Asymmetric Encoding
  • - SparseDiff: Sparse Discrete Diffusion for Scalable Graph Generation
  • - Class-balancing Diffusion Models, published at CVPR 2023
Research Experience
  • - Conducting research on graph generation at EPFL
  • - Upcoming academic visit to the University of Cambridge, collaborating with MRC Laboratory of Molecular Biology and Department of Computer Science and Technology
Education
  • - PhD in Computer Science, École Polytechnique Fédérale de Lausanne (EPFL), Advisor: Prof. Pascal Frossard
  • - Master's degree, Shanghai Jiao Tong University (SJTU), Collaborated with: Prof. Ya Zhang, Prof. Yanfeng Wang, Prof. Jiaochao Yao, and Dr. Huangjie Zheng
  • - Double degree (Ingénieur) in Applied Mathematics, École polytechnique (X), Internship at École Normale Supérieure (ENS), Paris, Supervisors: Dr. Lisa Bedin and Prof. Auguste Genovesio
  • - B.E. in Information Engineering and B.A. in French, Shanghai Jiao Tong University (SJTU), SPEIT program
Background
  • Research interests include graph generation, drug discovery, and conditional generation. Currently a PhD student in Computer Science at École Polytechnique Fédérale de Lausanne (EPFL).
Co-authors
0 total
Co-authors: 0 (list not available)