Zhuqing Liu - RankMe

56 papers A* 11A 2B 7Journal 32Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Multi-Objective Bilevel Learning. AAAI Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2026	J	`jnl`	Optimal pricing in social networks under fuzzy environment. Soft Comput. Zhuqing Liu, Yaodong Ni
2026	J	`jnl`	Practical Framework for Privacy-Preserving and Byzantine-Robust Federated Learning. IEEE Trans. Inf. Forensics Secur. Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
2026	A*	`conf`	SecureSplit: Mitigating Backdoor Attacks in Split Learning. WWW Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026	J	`jnl`	SecureSplit: Mitigating Backdoor Attacks in Split Learning. CoRR Zhihao Dou, Dongfei Cui, Weida Wang, Anjun Gao, Yueyang Quan, Mengyao Ma, Viet Vo, Guangdong Bai, Zhuqing Liu, Minghong Fang
2026	J	`jnl`	When the Server Steps In: Calibrated Updates for Fair Federated Learning. CoRR Tianrun Yu, Kaixiang Zhao, Cheng Zhang, Anjun Gao, Yueyang Quan, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Benchmarking Poisoning Attacks against Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Jiatong Li, Dongzhe Zhang, Minghong Fang, Zhuqing Liu, Lihai Nie, Zheli Liu
2025	—	`conf`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. WWW (Companion Volume) Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	J	`jnl`	Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing. CoRR Minghong Fang, Zhuqing Liu, Xuecen Zhao, Jia Liu
2025	A*	`conf`	DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. ICLR Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu
2025	A*	`conf`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? NDSS Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	J	`jnl`	Do We Really Need to Design New Byzantine-robust Aggregation Rules? CoRR Minghong Fang, Seyedsina Nabavirazavi, Zhuqing Liu, Wei Sun, Sundaraja Sitharama Iyengar, Haibo Yang
2025	B	`conf`	Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach. MobiHoc Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu
2025	J	`jnl`	Enhancing Privacy in Decentralized Min-Max Optimization: A Differentially Private Approach. CoRR Yueyang Quan, Chang Wang, Shengjie Zhai, Minghong Fang, Zhuqing Liu
2025	B	`conf`	Fairness-Constrained Optimization Attack in Federated Learning. TrustCom Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2025	J	`jnl`	Fairness-Constrained Optimization Attack in Federated Learning. CoRR Harsh Kasyap, Minghong Fang, Zhuqing Liu, Carsten Maple, Somanath Tripathy
2025	J	`jnl`	Multi-Objective Bilevel Learning. CoRR Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2025	J	`jnl`	Optimal pricing in fuzzy social networks with reference price effect. Inf. Sci. Zhuqing Liu, Yaodong Ni, Meng Yang
2025	—	`conf`	Poisoning Attacks and Defenses to Federated Unlearning. WWW (Companion Volume) Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Poisoning Attacks and Defenses to Federated Unlearning. CoRR Wenbin Wang, Qiwen Ma, Zifan Zhang, Yuchen Liu, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning. CoRR Baolei Zhang, Minghong Fang, Zhuqing Liu, Biao Yi, Peizhao Zhou, Yuan Wang, Tong Li, Zheli Liu
2025	J	`jnl`	Practical Poisoning Attacks against Retrieval-Augmented Generation. CoRR Baolei Zhang, Yuxi Chen, Minghong Fang, Zhuqing Liu, Lihai Nie, Tong Li, Zheli Liu
2025	A	`conf`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. UAI Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	J	`jnl`	STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning. CoRR Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu
2025	B	`conf`	Secure Retrieval-Augmented Generation Against Poisoning Attacks. IEEE Big Data Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang
2025	J	`jnl`	Secure Retrieval-Augmented Generation against Poisoning Attacks. CoRR Zirui Cheng, Jikai Sun, Anjun Gao, Yueyang Quan, Zhuqing Liu, Xiaohua Hu, Minghong Fang
2025	A	`conf`	Toward Malicious Clients Detection in Federated Learning. AsiaCCS Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
2025	J	`jnl`	Toward Malicious Clients Detection in Federated Learning. CoRR Zhihao Dou, Jiaqi Wang, Wei Sun, Zhuqing Liu, Minghong Fang
2025	A*	`conf`	Traceback of Poisoning Attacks to Retrieval-Augmented Generation. WWW Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025	J	`jnl`	Traceback of Poisoning Attacks to Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Minghong Fang, Zhuqing Liu, Biao Yi, Tong Li, Zheli Liu
2025	J	`jnl`	Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation. CoRR Baolei Zhang, Haoran Xin, Yuxi Chen, Zhuqing Liu, Biao Yi, Tong Li, Lihai Nie, Zheli Liu, Minghong Fang
2024	—	`conf`	Adversarial Attacks to Multi-Modal Models. LAMPS@CCS Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	J	`jnl`	Adversarial Attacks to Multi-Modal Models. CoRR Zhihao Dou, Xin Hu, Haibo Yang, Zhuqing Liu, Minghong Fang
2024	J	`jnl`	Optimisation of digital media technology for film and television animation post-production considering motion capture technology. Int. J. Inf. Commun. Technol. Zhuqing Liu
2024	A*	`conf`	PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
2024	J	`jnl`	Study on the suitable high-frequency PIV sample for centrifugal pump visualization based on impeller speed. J. Vis. Xiao-Dong Liu, Zhuqing Liu, Xianbei Huang, Yao-Jun Li, Wei Yang
2023	A*	`conf`	DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. INFOCOM Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2023	A*	`conf`	Federated Multi-Objective Learning. NeurIPS Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	J	`jnl`	Federated Multi-Objective Learning. CoRR Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
2023	B	`conf`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. MobiHoc Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	J	`jnl`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. CoRR Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	A*	`conf`	Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. ICML Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	J	`jnl`	DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization. CoRR Peiwen Qiu, Yining Li, Zhuqing Liu, Prashant Khanduri, Jia Liu, Ness B. Shroff, Elizabeth Serena Bentley, Kurt A. Turck
2022	J	`jnl`	FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR. CoRR Luning Bi, Yunlong Wang, Fan Zhang, Zhuqing Liu, Yong Cai, Emily Zhao
2022	J	`jnl`	INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks. CoRR Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	B	`conf`	INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. MobiHoc Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	J	`jnl`	NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data. CoRR Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	B	`conf`	NET-FLEET: achieving linear convergence speedup for fully decentralized federated learning with heterogeneous data. MobiHoc Xin Zhang, Minghong Fang, Zhuqing Liu, Haibo Yang, Jia Liu, Zhengyuan Zhu
2022	A*	`conf`	SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning. NeurIPS Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	J	`jnl`	SAGDA: Achieving O(ε CoRR Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu
2022	J	`jnl`	SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters. CoRR Zhuqing Liu, Xin Zhang, Jia Liu
2022	B	`conf`	SYNTHESIS: a semi-asynchronous path-integrated stochastic gradient method for distributed learning in computing clusters. MobiHoc Zhuqing Liu, Xin Zhang, Jia Liu
2021	A*	`conf`	Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
2019	J	`jnl`	Review on the sensitization of turbulence models to rotation/curvature and the application to rotating machinery. Appl. Math. Comput. Xianbei Huang, Wei Yang, Yaojun Li, Baoyun Qiu, Qiang Guo, Zhuqing Liu
2017	J	`jnl`	Energy-Aware Material Selection for Product With Multicomponent Under Cloud Environment. J. Comput. Inf. Sci. Eng. Luning Bi, Ying Zuo, Fei Tao, T. Warren Liao, Zhuqing Liu
2016	—	`conf`	Pendulum-like oscillation controller for UAV based on Lévy-flight pigeon-inspired optimization and LQR. SSCI Zhuqing Liu, Haibin Duan, Yijun Yang, Xiaoguang Hu