Zhuqing Liu

According to our database, Zhuqing Liu authored at least 29 papers between 2016 and 2025.

Collaborative distances:

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

2025

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach.

Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu

CoRR, August, 2025

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation.

Baolei Zhang, Haoran Xin, Jiatong Li, Dongzhe Zhang, Minghong Fang, Zhuqing Liu, Lihai Nie, Zheli Liu

CoRR, May, 2025

Toward Malicious Clients Detection in Federated Learning.

Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang

CoRR, May, 2025

Practical Poisoning Attacks against Retrieval-Augmented Generation.

Baolei Zhang, Yuxi Chen, Minghong Fang, Zhuqing Liu, Lihai Nie, Tong Li, Zheli Liu

CoRR, April, 2025

Optimal pricing in fuzzy social networks with reference price effect.

Zhuqing Liu, Yaodong Ni, Meng Yang

Inf. Sci., 2025

Traceback of Poisoning Attacks to Retrieval-Augmented Generation.

Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu

Proceedings of the ACM on Web Conference 2025, 2025

Poisoning Attacks and Defenses to Federated Unlearning.

Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing.

Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning.

Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Do We Really Need to Design New Byzantine-robust Aggregation Rules?

Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity.

Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Study on the suitable high-frequency PIV sample for centrifugal pump visualization based on impeller speed.

Xiao-Dong Liu, Zhuqing Liu, Xianbei Huang, Yao-jun Li, Wei Yang

J. Vis., April, 2024

Optimisation of digital media technology for film and television animation post-production considering motion capture technology.

Zhuqing Liu

Int. J. Inf. Commun. Technol., 2024

Adversarial Attacks to Multi-Modal Models.

Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang

Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, 2024

PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation.

Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Federated Multi-Objective Learning.

Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

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

PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities.

Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization.

Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck

Proceedings of the IEEE INFOCOM 2023, 2023

Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning.

Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

SAGDA: Achieving O(ε^-2) Communication Complexity in Federated Min-Max Learning.

Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu

CoRR, 2022

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR.

Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao

CoRR, 2022

SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning.

Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu

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

NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data.

Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters.

Zhuqing Liu, Xin Zhang, Jia Liu

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.

Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

2021

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning.

Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

Review on the sensitization of turbulence models to rotation/curvature and the application to rotating machinery.

Xianbei Huang, Wei Yang, Yaojun Li, Baoyun Qiu, Qiang Guo, Zhuqing Liu

Appl. Math. Comput., 2019

2017

Energy-Aware Material Selection for Product With Multicomponent Under Cloud Environment.

Luning Bi, Ying Zuo, Fei Tao, T. Warren Liao, Zhuqing Liu

J. Comput. Inf. Sci. Eng., 2017

2016

Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR.

Zhuqing Liu, Haibin Duan, Yijun Yang, Xiaoguang Hu

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016