Resume
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).