| 2026 | AAAI | FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients. | Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han |
| 2026 | ACL | LLEOT: A Privacy-Enhancing Offsite Tuning Framework via Loss Landscape Elevation. | Jin Zhong, Jinglin Liang, Tongtong Yang, Zijian Xie, Shuangping Huang, Hanlin Gu |
| 2026 | WWW | Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework. | Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Li |
| 2025 | COLING | FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. | Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang |
| 2025 | CVPR | Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor. | Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang |
| 2025 | CVPR | FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. | Gongxi Zhu, Donghao Li, Hanlin Gu, Yuan Yao, Lixin Fan, Yuxing Han |
| 2025 | EMNLP | FedCoT: Federated Chain-of-Thought Distillation for Large Language Models. | Tao Fan, Weijing Chen, Yan Kang, Guoqiang Ma, Hanlin Gu, Yuanfeng Song, Lixin Fan, Qiang Yang |
| 2025 | KDD | ErrorEraser: Unlearning Data Bias for Improved Continual Learning. | Xuemei Cao, Hanlin Gu, Xin Yang, Bingjun Wei, Haoyang Liang, Xiangkun Wang, Tianrui Li |
| 2025 | MDM | Natural Language to Overpass Query: A Multi-Step Approach Using Task Decomposition and Key-Value Correction. | Haodi Zhang, Xinrui Zhu, Xuan Wang, Yuanfeng Song, Hanlin Gu, Lin Ma |
| 2024 | ECCV | 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, Shuangping Huang, Lixin Fan, Qiang Yang |
| 2024 | ICDCS | Byzantine Robust Aggregation in Federated Distillation with Adversaries. | Wenrui Li, Hanlin Gu, Sheng Wan, Zhirong Luan, Wei Xi, Lixin Fan, Qiang Yang, Badong Chen |
| 2024 | IJCAI | Unlearning during Learning: An Efficient Federated Machine Unlearning Method. | Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang |
| 2023 | IJCAI | FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. | Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang |
| 2023 | IJCNN | FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation. | Sheng Wan, Dashan Gao, Hanlin Gu, Daning Hu |
| 2023 | PAKDD | Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. | Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang |