Dr. Chengchang Liu (刘程畅)
Incoming Assistant Professor@Westlake University
Ph.D.@The Chinese University of Hong Kong
B.S.@University of Science and Technology of China
Email: 7liuchengchang@gmail.com | liuchengchang@westlake.edu.cn
I received a Ph.D. in Computer Science under supervision of Prof. John C.S. Lui from CUHK in 2026. I received a B.S. in Statistics from USTC in 2022. Previously, I visited CUHK(SZ) in 2024, hosted by Prof. Zhi-Quan (Tom) Luo. My research focuses on optimization, and its applications in LLMs and quantum computing.
I will join Department of Artificial Intelligence, School of Engineering at Westlake University as an Assistant Professor in 2027. Please feel free to drop me an email if you want to work with me.
My publications can be found via Google Scholar.
On the Convergence of Stochastic Low-Rank Adaptation.
Ru Wang, Chengchang Liu, John C.S. Lui
arXiv, 2026
Symmetric Rank-k Methods.
Chengchang Liu, Cheng Chen, Luo Luo.
JMLR, 2026
Quantum Speedups for Minimax Optimization and Beyond.
Chengchang Liu, Zongqi Wan, Jialin Zhang, Xiaoming Sun, John C.S. Lui.
NeurIPS, 2025
Solving Convex-Concave Problems with Õ(ɛ^{-4/7}) Second-Order Oracle Complexity.
Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang.
COLT, 2025
Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.
Chengchang Liu, Shuxian Bi, Luo Luo, John C.S. Lui.
KDD, 2022
NSFC Basic Research Scheme for Ph.D. Student
National Natural Science Foundation of China, 2025-2026.
Mark Fulk Award for the Best Student Paper
The 38th Annual Conference on Learning Theory, 2025.
Best Paper Award Runner-Up
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022.
Conference Reviewer: NeurIPS, ICLR, ICML, AISTATS, AAAI.
Journal Reviewer: SIAM Journal on Optimization (SIOPT), Mathematics of Operations Research (MOR), IEEE TPAMI, IEEE TSIPN, Machine Learning (MLJ).