Returns Acquiring and HRRP Imaging for Radar Ship Target Recognition. - Lefeng Zhang; Xiaoyong Du 002; Weidong Hu (ICDMA, 2011)

The Active Power and Reactive Power Dispatch Plan of DFIG Based Wind Farm Considering Wind Power Curtailment. - Zengping Wang; Lefeng Zhang; Guohuang Li (Int. J. Comput. Intell. Syst., 2015)

Active Power Dispatch Plan among Units in DFIG Based Wind Farm. - Lefeng Zhang; Zengping Wang (Int. J. Comput. Intell. Syst., 2015)

Semantic analysis in location privacy preserving. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2016)

Reward-based spatial crowdsourcing with differential privacy preservation. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu (Enterp. Inf. Syst., 2017)

A Differentially Private Method for Crowdsourcing Data Submission. - Lefeng Zhang; Ping Xiong 001; Tianqing Zhu (PAKDD (Workshops), 2018)

Active power and reactive power dispatch of wind farm based on wavelet learning. - Zengping Wang; Lefeng Zhang; Guohuang Li; Lina Yang (Int. J. Mach. Learn. Cybern., 2018)

Integration of Low-Cost GNSS and Monocular Cameras for Simultaneous Localization and Mapping. - Xiao Chen 010; Weidong Hu; Lefeng Zhang; Zhiguang Shi; Maisi Li (Sensors, 2018)

Optimizing rewards allocation for privacy-preserving spatial crowdsourcing. - Ping Xiong 001; Danyang Zhu; Lefeng Zhang; Wei Ren 002; Tianqing Zhu (Comput. Commun., 2019)

A differentially private method for crowdsourcing data submission. - Lefeng Zhang; Ping Xiong 001; Wei Ren 002; Tianqing Zhu (Concurr. Comput. Pract. Exp., 2019)

Private collaborative filtering under untrusted recommender server. - Ping Xiong 001; Lefeng Zhang; Tianqing Zhu; Gang Li 009; Wanlei Zhou 001 (Future Gener. Comput. Syst., 2020)

Privacy preservation auction in a dynamic social network. - Xiangyu Hu 006; Zhiping Jin; Lefeng Zhang; Andi Zhou; Dayong Ye (Concurr. Comput. Pract. Exp., 2022)

Location privacy preservation through kernel transformation. - Lefeng Zhang; Guanghua Song; Danyang Zhu; Wei Ren 002; Ping Xiong 001 (Concurr. Comput. Pract. Exp., 2022)

More than Privacy: Adopting Differential Privacy in Game-theoretic Mechanism Design. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2022)

A Game-Theoretic Method for Defending Against Advanced Persistent Threats in Cyber Systems. - Lefeng Zhang; Tianqing Zhu; Farookh Khadeer Hussain; Dayong Ye; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2023)

FedRecovery: Differentially Private Machine Unlearning for Federated Learning Frameworks. - Lefeng Zhang; Tianqing Zhu; Haibin Zhang; Ping Xiong 001; Wanlei Zhou 001 (IEEE Trans. Inf. Forensics Secur., 2023)

PriFace: a privacy-preserving face recognition framework under untrusted server. - Shan Zhao; Lefeng Zhang; Ping Xiong 001 (J. Ambient Intell. Humaniz. Comput., 2023)

A Robust Game-Theoretical Federated Learning Framework With Joint Differential Privacy. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

A Game-Theoretic Federated Learning Framework for Data Quality Improvement. - Lefeng Zhang; Tianqing Zhu; Ping Xiong 001; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Knowl. Data Eng., 2023)

Towards Information Sharing Beetle Antennae Search Optimization. - Xuan Liu 008; Chenyan Wang; Wenjian Liu; Lefeng Zhang; Xianggan Liu; Yutong Gao 001 (ICA3PP (2), 2024)

Language-Based Colorization with Sparse Attention and Multi-scale Cross-Modal Semantic Alignment. - Ying Zhang; Yutong Gao 001; Xuan Liu 008; Lefeng Zhang; Xianggan Liu; Shan Jiang (ICA3PP (5), 2024)

Federated TrustChain: Blockchain-Enhanced LLM Training and Unlearning. - Xuhan Zuo; Minghao Wang; Tianqing Zhu; Lefeng Zhang; Dayong Ye; Shui Yu 001; Wanlei Zhou 001 (CoRR, 2024)

Really Unlearned? Verifying Machine Unlearning via Influential Sample Pairs. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001 (CoRR, 2024)

Towards Efficient Target-Level Machine Unlearning Based on Essential Graph. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Wei Zhao 001 (CoRR, 2024)

Game-Theoretic Machine Unlearning: Mitigating Extra Privacy Leakage. - Hengzhu Liu; Tianqing Zhu; Lefeng Zhang; Ping Xiong 001 (CoRR, 2024)

Machine Unlearning: A Survey. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Philip S. Yu (ACM Comput. Surv., 2024)

FedSweep: Unlearning Backdoors in Federated Learning. - Zhiheng Qiu; Qi Zhong; Mingfeng Qi; Lefeng Zhang (PAKDD (2), 2025)

QuadrantSearch: A Novel Method for Registering UAV and Backpack LiDAR Point Clouds in Forested Areas. - Guorong Li; Bin Wu 010; Lei Yang; Zhan Pan; Linxin Dong; Siyu Wu; Guochun Shen; Jiarui Zhang; Tian Xiao; Lefeng Zhang; Jianping Wu; Bailang Yu (IEEE Trans. Geosci. Remote. Sens., 2025)

QUEEN: Query Unlearning Against Model Extraction. - Huajie Chen; Tianqing Zhu; Lefeng Zhang; Bo Liu 001; Derui Wang; Wanlei Zhou 001; Minhui Xue 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Vertical Federated Unlearning via Backdoor Certification. - Mengde Han; Tianqing Zhu; Lefeng Zhang; Huan Huo; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2025)

Federated Learning With Blockchain-Enhanced Machine Unlearning: A Trustworthy Approach. - Xuhan Zuo; Minghao Wang; Tianqing Zhu; Lefeng Zhang; Shui Yu 001; Wanlei Zhou 001 (IEEE Trans. Serv. Comput., 2025)

Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation. - Heng Xu; Tianqing Zhu; Lefeng Zhang; Wanlei Zhou 001; Philip S. Yu (IEEE Trans. Big Data, 2025)