- 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).