About me

I am a second-year Master of Philosophy (M.Phil.) student at Department of Computer Science and Engineering of The Chinese University of Hong Kong, advised by Farzan Farnia. Prior to that, I obtained my B.Sc. degree in computer science from the same university, and I had research experiences supervised by Siu On Chan, Anthony Man-Cho So, and Sidharth Jaggi.

My research interests lie in the theoretical analysis of learning and optimization problems. Recently, I have been working on the convergence guarantees of diffusion models. Previously, I have worked on the generalization of machine learning, statistical learning, non-convex optimization, and information theory. A summary of my research projects can be found on the Research page.

Publications and Preprints

• On the Mode-Seeking Properties of Langevin Dynamics
  Xiwei Cheng, Kexin Fu, and Farzan Farnia
  Under review. arXiv preprint arXiv:2406.02017, June 2024

• Stability and Generalization in Free Adversarial Training
  Xiwei Cheng, Kexin Fu, and Farzan Farnia
  Transactions on Machine Learning Research (TMLR), October 2024

• Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method
  Sijin Chen, Xiwei Cheng, and Anthony Man-Cho So
  International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024

• Generalized Group Testing
  Xiwei Cheng, Sidharth Jaggi, and Qiaoqiao Zhou
  International Conference on Artificial Intelligence and Statistics (AISTATS), May 2022
  IEEE Transactions on Information Theory (TIT), March 2023

Honors and Awards

• Yao Fellowship (2 awardees annually; named after Prof. Andrew C.C. Yao)
  Department of Computer Science and Engineering, CUHK, 2021-22
• Talent Development Scholarship (achievements in academic and non-academic areas)
  Hong Kong Government, 2020-21
• Department/Programme Scholarships (the highest year GPA in the department)
  Shaw College, CUHK, 2020-21
• ELITE Stream Scholarship (excellent academic performance)
  Faculty of Engineering, CUHK, 2019-23

Teaching and Services

• Teaching Assistant:
  • ENGG2760: Probability for Engineers, Fall 2023
  • ENGG2780: Statistics for Engineers, Spring 2024
• Conference Reviewer:
  • International Conference on Artificial Intelligence and Statistics (AISTATS): 2023-2025
  • International Conference on Learning Representations (ICLR): 2025