Chengchang Liu (刘程畅)
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Chengchang Liu |
About me
I am a Ph.D. candidate under supervision of Prof. John C.S. Lui. 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, as well as its intersection with quantum computing and artificial intelligence.
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.
Selected Publications (Google Scholar)
Quantum Speedups for Minimax Optimization and Beyond.
Chengchang Liu, Zongqi Wan, Jialin Zhang, Xiaoming Sun, John C.S. Lui.
NeurIPS, 2025Solving Convex-Concave Problems with Õ(ɛ^{-4/7}) Second-Order Oracle Complexity.
Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang.
COLT, 2025Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.
Chengchang Liu, Shuxian Bi, Luo Luo, John C.S. Lui.
KDD, 2022
Selected Awards
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.
Services
Conference Reviewer: NeurIPS 2023-25, ICLR 2024-25, AISTATS 2024, ICML 2024-25, AAAI 2025.
Journal Reviewer: IEEE TPAMI, IEEE TSIPN, Machine Learning.