Hanlin Gu

66 papers A* 7A 2B 3Journal 48Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Disentangling data distribution for optimal and communication-efficient federated learning.
Artif. Intell.
Xinyuan Zhao, Hanlin Gu, Lixin Fan, Yuxing Han, Qiang Yang
2026 J jnl
Fed-Grow: Federating to Grow Transformers for Resource-Constrained Users Without Model Sharing.
IEEE Trans. Parallel Distributed Syst.
Shikun Shen, Yifei Zou, Yuan Yuan, Hanlin Gu, Peng Li, Xiuzhen Cheng, Falko Dressler, Dongxiao Yu
2026 J jnl
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Client.
CoRR
Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2026 A* conf
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients.
AAAI
Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2026 J jnl
Federated Heterogeneous Language Model Optimization for Hybrid Automatic Speech Recognition.
CoRR
Mengze Hong, Yi Gu, Di Jiang, Hanlin Gu, Chen Jason Zhang, Lu Wang, Zhiyang Su
2026 J jnl
General Backdoor-Resilient Federated Learning via Multi-Armed Bandit-Based Knowledge Distillation.
IEEE Trans. Inf. Forensics Secur.
Senmao Qi, Hao Ma, Yifei Zou, Peng Li, Hanlin Gu, Zhenzhen Xie, Lixin Fan, Xiuzhen Cheng, Dongxiao Yu
2026 J jnl
InkDrop: Invisible Backdoor Attacks Against Dataset Condensation.
CoRR
He Yang, Dongyi Lv, Song Ma, Wei Xi, Zhi Wang, Hanlin Gu, Yajie Wang
2026 A* conf
Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.
WWW
Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Li
2026 J jnl
Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.
CoRR
Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Liao
2025 J jnl
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.
IEEE Trans. Big Data
Hanlin Gu, Xinyuan Zhao, Gongxi Zhu, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2025 — conf
ErrorEraser: Unlearning Data Bias for Improved Continual Learning.
KDD (2)
Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li
2025 J jnl
ErrorEraser: Unlearning Data Bias for Improved Continual Learning.
CoRR
Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li
2025 — conf
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models.
EMNLP (Findings)
Tao Fan, Weijing Chen, Yan Kang, Guoqiang Ma, Hanlin Gu, Yuanfeng Song, Lixin Fan, Qiang Yang
2025 A* conf
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning.
CVPR
Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han
2025 B conf
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models.
COLING
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2025 J jnl
FedPN: Lightweight Privacy-Preserving Federated Learning With Hardness of Learning Periodic Neurons.
IEEE Trans. Inf. Forensics Secur.
Wenyuan Yang, Hongjian Xing, Zhun Zhang, Hanlin Gu, Lixin Fan, Xiaochun Cao
2025 J jnl
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
IEEE Trans. Dependable Secur. Comput.
Shuo Shao, Wenyuan Yang, Hanlin Gu, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
2025 J jnl
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
ACM Trans. Intell. Syst. Technol.
Yan Kang, Tao Fan, Hanlin Gu, Xiaojin Zhang, Lixin Fan, Qiang Yang
2025 A* conf
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor.
CVPR
Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang
2025 J jnl
Large-Small Model Collaborative Framework for Federated Continual Learning.
CoRR
Hao Yu, Xin Yang, Boyang Fan, Xuemei Cao, Hanlin Gu, Lixin Fan, Qiang Yang
2025 B conf
Natural Language to Overpass Query: A Multi-Step Approach Using Task Decomposition and Key-Value Correction.
MDM
Haodi Zhang, Xinrui Zhu, Xuan Wang, Yuanfeng Song, Hanlin Gu, Lin Ma
2025 J jnl
Order-Level Attention Similarity Across Language Models: A Latent Commonality.
CoRR
Jinglin Liang, Jin Zhong, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Huifang Li, Lixin Fan, Hanlin Gu
2025 J jnl
Ownership Verification for Federated Recommendation.
ACM Trans. Inf. Syst.
Enyue Yang, Weike Pan, Lixin Fan, Hanlin Gu, Zhitao Li, Qiang Yang, Zhong Ming
2025 A conf
Prototype-Based Communication Topology Optimization for Decentralized Federated Learning.
ICME
Xinlin Leng, Kangyu Hu, Hanlin Gu, Xiangui Kang, Wenyuan Yang
2025 J jnl
Temporal Gradient Inversion Attacks With Robust Optimization.
IEEE Trans. Dependable Secur. Comput.
Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
CoRR
Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2025 J jnl
Ten Challenging Problems in Federated Foundation Models.
IEEE Trans. Knowl. Data Eng.
Tao Fan, Hanlin Gu, Xuemei Cao, Chee Seng Chan, Qian Chen, Yiqiang Chen, Yihui Feng, Yang Gu, Jiaxiang Geng, Bing Luo, Shuoling Liu, WinKent Ong, Chao Ren, Jiaqi Shao, Chuan Sun, Xiaoli Tang, Hong Xi Tae, Yongxin Tong, Shuyue Wei, Fan Wu, Wei Xi, Mingcong Xu, He Yang, Xin Yang, Jiangpeng Yan, Hao Yu, Han Yu, Teng Zhang, Yifei Zhang, Xiaojin Zhang, Zhenzhe Zheng, Lixin Fan, Qiang Yang
2024 J jnl
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
J. Comput. Sci. Technol.
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan
2024 J jnl
A few-shot Label Unlearning in Vertical Federated Learning.
CoRR
Hanlin Gu, Hong Xi Tae, Chee Seng Chan, Lixin Fan
2024 J jnl
Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor.
CoRR
Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang
2024 A conf
Byzantine Robust Aggregation in Federated Distillation with Adversaries.
ICDCS
Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen
2024 — conf
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning.
ECCV (30)
Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang
2024 J jnl
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning.
CoRR
Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang
2024 J jnl
Disentangling data distribution for Federated Learning.
CoRR
Xinyuan Zhao, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2024 J jnl
Evaluating Membership Inference Attacks and Defenses in Federated Learning.
CoRR
Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang
2024 J jnl
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation.
CoRR
Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
2024 J jnl
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
2024 J jnl
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models.
CoRR
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024 J jnl
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.
CoRR
Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang
2024 A* conf
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity.
NeurIPS
Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan
2024 J jnl
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity.
CoRR
Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan
2024 — conf
Label Privacy Source Coding in Vertical Federated Learning.
ECML/PKDD (1)
Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang
2024 J jnl
Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
ACM Trans. Intell. Syst. Technol.
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2024 J jnl
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models.
CoRR
Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
2024 A* conf
Unlearning during Learning: An Efficient Federated Machine Unlearning Method.
IJCAI
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2024 J jnl
Unlearning during Learning: An Efficient Federated Machine Unlearning Method.
CoRR
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
2023 J jnl
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models.
CoRR
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
2023 J jnl
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning.
CoRR
Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
2023 — conf
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting.
PAKDD (2)
Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang
2023 J jnl
FedIPR: Ownership Verification for Federated Deep Neural Network Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
2023 B conf
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.
IJCNN
Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu
2023 J jnl
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation.
CoRR
Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu
2023 A* conf
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation.
IJCAI
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023 J jnl
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation.
CoRR
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
2023 J jnl
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature.
CoRR
Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao
2023 J jnl
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof.
CoRR
Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang
2023 J jnl
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
CoRR
Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang
2023 J jnl
No Free Lunch Theorem for Security and Utility in Federated Learning.
ACM Trans. Intell. Syst. Technol.
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2023 J jnl
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning.
CoRR
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
2023 J jnl
Temporal Gradient Inversion Attacks with Robust Optimization.
CoRR
Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan
2022 J jnl
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders.
CoRR
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
2022 J jnl
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model.
CoRR
Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
2022 J jnl
No Free Lunch Theorem for Security and Utility in Federated Learning.
CoRR
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
2021 J jnl
FedIPR: Ownership Verification for Federated Deep Neural Network Models.
CoRR
Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang
2021 J jnl
Federated Deep Learning with Bayesian Privacy.
CoRR
Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
2018 — conf
Data-Driven Tight Frame for CRYO-EM Image Denoising and Conformational Classification.
GlobalSIP
Yin Xian, Hanlin Gu, Wei Wang, Xuhui Huang, Yuan Yao, Yang Wang, Jian-Feng Cai