| 2026 | COLT | Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity. | Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang |
| 2025 | AAAI | An Enhanced Levenberg-Marquardt Method via Gram Reduction. | Chengchang Liu, Luo Luo, John C. S. Lui |
| 2025 | COLT | Solving Convex-Concave Problems with 풪(ε | Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang |
| 2025 | ICLR | Second-Order Min-Max Optimization with Lazy Hessians. | Lesi Chen, Chengchang Liu, Jingzhao Zhang |
| 2024 | AAAI | Communication Efficient Distributed Newton Method over Unreliable Networks. | Ming Wen, Chengchang Liu, Yuedong Xu |
| 2024 | ICML | Quantum Algorithm for Online Exp-concave Optimization. | Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C. S. Lui |
| 2023 | KDD | Communication Efficient Distributed Newton Method with Fast Convergence Rates. | Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui |
| 2022 | KDD | Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality. | Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui |