Liu, Chengchang

10 publications

AAAI 2025 An Enhanced Levenberg-Marquardt Method via Gram Reduction Chengchang Liu, Luo Luo, John C. S. Lui
MLJ 2025 Panda: Partially Approximate Newton Methods for Distributed Minimax Optimization with Unbalanced Dimensions Minheng Xiao, Chengchang Liu, Cheng Chen, John C. S. Lui, Sen Na
NeurIPS 2025 Quantum Speedups for Minimax Optimization and Beyond Chengchang Liu, Zongqi Wan, Jialin Zhang, Xiaoming Sun, John C.S. Lui
ICLR 2025 Second-Order Min-Max Optimization with Lazy Hessians Lesi Chen, Chengchang Liu, Jingzhao Zhang
COLT 2025 Solving Convex-Concave Problems with $\mathcal{O}(\epsilon^{-4/7})$ Second-Order Oracle Complexity Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang
AAAI 2024 Communication Efficient Distributed Newton Method over Unreliable Networks Ming Wen, Chengchang Liu, Yuedong Xu
ICML 2024 Quantum Algorithm for Online Exp-Concave Optimization Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C.S. Lui
NeurIPS 2024 Quantum Algorithms for Non-Smooth Non-Convex Optimization Chengchang Liu, Chaowen Guan, Jianhao He, John C.S. Lui
NeurIPS 2023 Block Broyden's Methods for Solving Nonlinear Equations Chengchang Liu, Cheng Chen, Luo Luo, John C.S. Lui
NeurIPS 2022 Quasi-Newton Methods for Saddle Point Problems Chengchang Liu, Luo Luo