Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification. - Yin Xian; Hanlin Gu; Wei Wang 125; Xuhui Huang; Yuan Yao 011; Yang Wang 020; Jian-Feng Cai 001 (GlobalSIP, 2018)

Federated Deep Learning with Bayesian Privacy. - Hanlin Gu; Lixin Fan; Bowen Li 013; Yan Kang 001; Yuan Yao 011; Qiang Yang 001 (CoRR, 2021)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. - Shuo Shao 002; Wenyuan Yang; Hanlin Gu; Jian Lou 001; Zhan Qin; Lixin Fan; Qiang Yang 001; Kui Ren 001 (CoRR, 2022)

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IJCAI, 2023)

FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. - Sheng Wan; Dashan Gao; Hanlin Gu; Daning Hu (IJCNN, 2023)

Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. - Xingxing Tang; Hanlin Gu; Lixin Fan; Qiang Yang 001 (PAKDD (2), 2023)

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. - Wenyuan Yang; Yuguo Yin; Gongxi Zhu; Hanlin Gu; Lixin Fan; Xiaochun Cao; Qiang Yang 001 (CoRR, 2023)

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. - Wenyuan Yang; Gongxi Zhu; Yuguo Yin; Hanlin Gu; Lixin Fan; Qiang Yang 001; Xiaochun Cao (CoRR, 2023)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

No Free Lunch Theorem for Security and Utility in Federated Learning. - Xiaojin Zhang 002; Hanlin Gu; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2023)

FedIPR: Ownership Verification for Federated Deep Neural Network Models. - Bowen Li 013; Lixin Fan; Hanlin Gu; Jie Li 002; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. - Jinglin Liang; Jin Zhong; Hanlin Gu; Zhongqi Lu; Xingxing Tang; Gang Dai 002; Shuangping Huang; Lixin Fan; Qiang Yang 001 (ECCV (30), 2024)

Byzantine Robust Aggregation in Federated Distillation with Adversaries. - Wenrui Li; Hanlin Gu; Sheng Wan; Zhirong Luan; Wei Xi; Lixin Fan; Qiang Yang 001; Badong Chen (ICDCS, 2024)

Unlearning during Learning: An Efficient Federated Machine Unlearning Method. - Hanlin Gu; Gongxi Zhu; Jie Zhang 078; Xinyuan Zhao; Yuxing Han 001; Lixin Fan; Qiang Yang 001 (IJCAI, 2024)

Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. - Hanlin Gu; WinKent Ong; Chee Seng Chan; Lixin Fan (NeurIPS, 2024)

Label Privacy Source Coding in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Hanlin Gu; Lixin Fan; Xin Yao; Qiang Yang 001 (ECML/PKDD (1), 2024)

Evaluating Membership Inference Attacks and Defenses in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuxing Han 001; Yuan Yao 011; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. - Haoran Li 003; Xinyuan Zhao; Dadi Guo; Hanlin Gu; Ziqian Zeng; Yuxing Han 001; Yangqiu Song; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Yuan Yao 011; Gongxi Zhu; Bowen Li 013; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. - Tao Fan 002; Yan Kang 001; Weijing Chen; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

A few-shot Label Unlearning in Vertical Federated Learning. - Hanlin Gu; Hong Xi Tae; Chee Seng Chan; Lixin Fan (CoRR, 2024)

Disentangling data distribution for Federated Learning. - Xinyuan Zhao; Hanlin Gu; Lixin Fan; Qiang Yang 001; Yuxing Han 001 (CoRR, 2024)

Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor. - Hao Yu; Xin Yang 012; Le Zhang 001; Hanlin Gu; Tianrui Li 001; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan (J. Comput. Sci. Technol., 2024)

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. - Hanlin Gu; Lixin Fan; Xingxing Tang; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. - Tao Fan 002; Guoqiang Ma; Yan Kang 001; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (COLING, 2025)

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor. - Hao Yu; Xin Yang 012; Le Zhang 001; Hanlin Gu; Tianrui Li 001; Lixin Fan; Qiang Yang 001 (CVPR, 2025)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuan Yao 011; Lixin Fan; Yuxing Han 001 (CVPR, 2025)

Natural Language to Overpass Query: A Multi-Step Approach Using Task Decomposition and Key-Value Correction. - Haodi Zhang; Xinrui Zhu; Xuan Wang 002; Yuanfeng Song; Hanlin Gu; Lin Ma (MDM, 2025)

Temporal Gradient Inversion Attacks With Robust Optimization. - Bowen Li 013; Hanlin Gu; Ruoxin Chen; Jie Li 002; Chentao Wu; Na Ruan; Xueming Si; Lixin Fan (IEEE Trans. Dependable Secur. Comput., 2025)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. - Shuo Shao 002; Wenyuan Yang; Hanlin Gu; Zhan Qin; Lixin Fan; Qiang Yang 001; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Ownership Verification for Federated Recommendation. - Enyue Yang; Weike Pan; Lixin Fan; Hanlin Gu; Zhitao Li 005; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Inf. Syst., 2025)

ErrorEraser: Unlearning Data Bias for Improved Continual Learning. - Xuemei Cao 001; Hanlin Gu; Xin Yang 012; Bingjun Wei; Haoyang Liang; Xiangkun Wang; Tianrui Li 001 (CoRR, 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Large-Small Model Collaborative Framework for Federated Continual Learning. - Hao Yu; Xin Yang; Boyang Fan; Xuemei Cao; Hanlin Gu; Lixin Fan; Qiang Yang (CoRR, 2025)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Xiaojin Zhang 002; Lixin Fan; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2025)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Gongxi Zhu; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IEEE Trans. Big Data, 2025)