Chengchang Liu (刘程畅)
|
Chengchang Liu
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Contact: 7liuchengchang@gmail.com
|
About me
I received a B.S in statistics from the University of Science and Technology of China (USTC) in 2022.
I am interesed in optimization. I am always open for possible collaborations. Please feel free to contact me.
Research
My recent research focus on designing efficient methods (especially second-order methods) for large-scale optimization problems with strong theoretical guarantees.
Email me if you have any questions about my works.
Selected Works
Symmetric Rank-k Methods.
Chengchang Liu, Cheng Chen, Luo Luo.
Prepared in 2023
[pdf]
Block Broyden's Methods for Solving Nonlinear Equations.
Chengchang Liu, Cheng Chen, Luo Luo, John C.S. Lui.
NeurIPS 2023
[pdf]
Communication Efficient Distributed Newton Method with Fast Convergence Rates.
Chengchang Liu, Lesi Chen, Luo Luo, John C.S. Lui.
KDD 2023
[pdf] [code]
Regularized Newton Methods for Variational Inequalities with Hölder Continuous Jacobians.
Chengchang Liu, Luo Luo.
Prepared in 2022
[pdf]
Quasi-Newton Methods for Saddle Point Problems.
Chengchang Liu, Luo Luo.
NeurIPS 2022 Spotlight
[pdf] [code] [Longer Version]
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 Best Paper Runner-Up
[pdf] [code]
Services
|