Chengchang Liu

According to our database, Chengchang Liu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Mach. Learn., August, 2025

Solving Convex-Concave Problems with 𝒪(ε^-4/7) Second-Order Oracle Complexity.

Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang

CoRR, June, 2025

Second-Order Min-Max Optimization with Lazy Hessians.

Lesi Chen, Chengchang Liu, Jingzhao Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Solving Convex-Concave Problems with 풪(ε^-4/7) Second-Order Oracle Complexity.

Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

An Enhanced Levenberg-Marquardt Method via Gram Reduction.

Chengchang Liu, Luo Luo, John C. S. Lui

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

CoRR, 2024

Incremental Gauss-Newton Methods with Superlinear Convergence Rates.

Zhiling Zhou, Zhuanghua Liu, Chengchang Liu, Luo Luo

CoRR, 2024

Quantum Algorithms for Non-smooth Non-convex Optimization.

Chengchang Liu, Chaowen Guan, Jianhao He, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Quantum Algorithm for Online Exp-concave Optimization.

Jianhao He, Chengchang Liu, Xutong Liu, Lvzhou Li, John C. S. Lui

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Communication Efficient Distributed Newton Method over Unreliable Networks.

Ming Wen, Chengchang Liu, Yuedong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Block Broyden's Methods for Solving Nonlinear Equations.

Chengchang Liu, Cheng Chen, Luo Luo, John C. S. Lui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Communication Efficient Distributed Newton Method with Fast Convergence Rates.

Chengchang Liu, Lesi Chen, Luo Luo, John C. S. Lui

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Quasi-Newton Methods for Saddle Point Problems.

Chengchang Liu, Luo Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Partial-Quasi-Newton Methods: Efficient Algorithms for Minimax Optimization Problems with Unbalanced Dimensionality.

Chengchang Liu, Shuxian Bi, Luo Luo, John C. S. Lui

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Quasi-Newton Methods for Saddle Point Problems and Beyond.

Chengchang Liu, Luo Luo

CoRR, 2021

2020

Image Fusion Method for Transformer Substation Based on NSCT and Visual Saliency.

Fang Zhang, Xin Dong, Minghui Liu, Chengchang Liu

Proceedings of the Human Centered Computing - 6th International Conference, 2020