Image Fusion Method for Transformer Substation Based on NSCT and Visual Saliency. - Fang Zhang; Xin Dong; Minghui Liu; Chengchang Liu (HCC, 2020)

Quasi-Newton Methods for Saddle Point Problems and Beyond. - Chengchang Liu; Luo Luo (CoRR, 2021)

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)

Quasi-Newton Methods for Saddle Point Problems. - Chengchang Liu; Luo Luo (NeurIPS, 2022)

Communication Efficient Distributed Newton Method with Fast Convergence Rates. - Chengchang Liu; Lesi Chen; Luo Luo; John C. S. Lui (KDD, 2023)

Block Broyden's Methods for Solving Nonlinear Equations. - Chengchang Liu; Cheng Chen 015; Luo Luo; John C. S. Lui (NeurIPS, 2023)

Communication Efficient Distributed Newton Method over Unreliable Networks. - Ming Wen; Chengchang Liu; Yuedong Xu 001 (AAAI, 2024)

Quantum Algorithm for Online Exp-concave Optimization. - Jianhao He; Chengchang Liu; Xutong Liu 002; Lvzhou Li; John C. S. Lui (ICML, 2024)

Quantum Algorithms for Non-smooth Non-convex Optimization. - Chengchang Liu; Chaowen Guan; Jianhao He; John C. S. Lui (NeurIPS, 2024)

Incremental Gauss-Newton Methods with Superlinear Convergence Rates. - Zhiling Zhou; Zhuanghua Liu; Chengchang Liu; Luo Luo (CoRR, 2024)

A Communication and Computation Efficient Fully First-order Method for Decentralized Bilevel Optimization. - Min Wen; Chengchang Liu; Ahmed M. Abdelmoniem; Yipeng Zhou; Yuedong Xu 001 (CoRR, 2024)

An Enhanced Levenberg-Marquardt Method via Gram Reduction. - Chengchang Liu; Luo Luo; John C. S. Lui (AAAI, 2025)

Solving Convex-Concave Problems with 풪(ε-4/7) Second-Order Oracle Complexity. - Lesi Chen; Chengchang Liu; Luo Luo; Jingzhao Zhang (COLT, 2025)

Second-Order Min-Max Optimization with Lazy Hessians. - Lesi Chen; Chengchang Liu; Jingzhao Zhang (ICLR, 2025)

Solving Convex-Concave Problems with 𝒪(ε-4/7) Second-Order Oracle Complexity. - Lesi Chen; Chengchang Liu; Luo Luo; Jingzhao Zhang (CoRR, 2025)

Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions. - Minheng Xiao; Chengchang Liu; Cheng Chen 015; John C. S. Lui; Sen Na (Mach. Learn., 2025)