Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR. - Zhuqing Liu; Haibin Duan; Yijun Yang; Xiaoguang Hu (SSCI, 2016)

Energy-Aware Material Selection for Product With Multicomponent Under Cloud Environment. - Luning Bi; Ying Zuo; Fei Tao 001; T. Warren Liao; Zhuqing Liu (J. Comput. Inf. Sci. Eng., 2017)

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)

Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. - Xin Zhang 054; Zhuqing Liu; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (NeurIPS, 2021)

INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. - Zhuqing Liu; Xin Zhang 054; Prashant Khanduri; Songtao Lu; Jia Liu 002 (MobiHoc, 2022)

SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters. - Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (MobiHoc, 2022)

NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. - Xin Zhang 054; Minghong Fang; Zhuqing Liu; Haibo Yang 001; Jia Liu 002; Zhengyuan Zhu (MobiHoc, 2022)

SAGDA: Achieving $ mathcal{O}( epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. - Haibo Yang 001; Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (NeurIPS, 2022)

FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR. - Luning Bi; Yunlong Wang 001; Fan Zhang; Zhuqing Liu; Yong Cai 001; Emily Zhao (CoRR, 2022)

SAGDA: Achieving O(ε-2) Communication Complexity in Federated Min-Max Learning. - Haibo Yang 001; Zhuqing Liu; Xin Zhang 054; Jia Liu 002 (CoRR, 2022)

Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. - Zhuqing Liu; Xin Zhang 054; Prashant Khanduri; Songtao Lu; Jia Liu 002 (ICML, 2023)

DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. - Peiwen Qiu; Yining Li; Zhuqing Liu; Prashant Khanduri; Jia Liu 002; Ness B. Shroff; Elizabeth Serena Bentley; Kurt A. Turck (INFOCOM, 2023)

PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. - Zhuqing Liu; Xin Zhang 054; Songtao Lu; Jia Liu 002 (MobiHoc, 2023)

Federated Multi-Objective Learning. - Haibo Yang 001; Zhuqing Liu; Jia Liu 002; Chaosheng Dong; Michinari Momma (NeurIPS, 2023)

PILOT: An $ mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. - Zhuqing Liu; Xin Zhang 054; Jia Liu 002; Zhengyuan Zhu; Songtao Lu (ICLR, 2024)

Adversarial Attacks to Multi-Modal Models. - Zhihao Dou; Xin Hu; Haibo Yang 001; Zhuqing Liu; Minghong Fang (LAMPS@CCS, 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)

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., 2024)

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. - Zhen Qin; Zhuqing Liu; Songtao Lu; Yingbin Liang; Jia Liu 002 (ICLR, 2025)

Do We Really Need to Design New Byzantine-robust Aggregation Rules? - Minghong Fang; Seyedsina Nabavirazavi; Zhuqing Liu; Wei Sun 013; Sundaraja Sitharama Iyengar; Haibo Yang 001 (NDSS, 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 029; Haibo Yang 001; Jia Liu 002 (UAI, 2025)

Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. - Minghong Fang; Zhuqing Liu; Xuecen Zhao; Jia Liu 002 (WWW (Companion Volume), 2025)

Poisoning Attacks and Defenses to Federated Unlearning. - Wenbin Wang; Qiwen Ma; Zifan Zhang; Yuchen Liu 001; Zhuqing Liu; Minghong Fang (WWW (Companion Volume), 2025)

Traceback of Poisoning Attacks to Retrieval-Augmented Generation. - Baolei Zhang; Haoran Xin 002; Minghong Fang; Zhuqing Liu; Biao Yi; Tong Li 011; Zheli Liu (WWW, 2025)

Optimal pricing in fuzzy social networks with reference price effect. - Zhuqing Liu; Yaodong Ni; Meng Yang (Inf. Sci., 2025)

Practical Poisoning Attacks against Retrieval-Augmented Generation. - Baolei Zhang; Yuxi Chen; Minghong Fang; Zhuqing Liu; Lihai Nie; Tong Li 011; Zheli Liu (CoRR, 2025)

Toward Malicious Clients Detection in Federated Learning. - Zhihao Dou; Jiaqi Wang; Wei Sun 013; Zhuqing Liu; Minghong Fang (CoRR, 2025)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation. - Baolei Zhang; Haoran Xin 002; Jiatong Li; Dongzhe Zhang; Minghong Fang; Zhuqing Liu; Lihai Nie; Zheli Liu (CoRR, 2025)

Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach. - Yueyang Quan; Chang Wang; Shengjie Zhai; Minghong Fang; Zhuqing Liu (CoRR, 2025)