Incentive-Driven Long-term Optimization for Edge Learning by Hierarchical Reinforcement Mechanism. - Yi Liu 057; Leijie Wu; Yufeng Zhan; Song Guo 001; Zicong Hong (ICDCS, 2021)

Sustainable Federated Learning with Long-term Online VCG Auction Mechanism. - Leijie Wu; Song Guo 001; Yi Liu 057; Zicong Hong; Yufeng Zhan; Wenchao Xu 001 (ICDCS, 2022)

A Coalition Formation Game Approach for Personalized Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Yufeng Zhan; Jie Zhang 076 (CoRR, 2022)

Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Richard Yida Xu; Jie Zhang 076 (CoRR, 2022)

Federated Unlearning: Guarantee the Right of Clients to Forget. - Leijie Wu; Song Guo 001; Junxiao Wang; Zicong Hong; Jie Zhang 076; Yaohong Ding (IEEE Netw., 2022)

L4L: Experience-Driven Computational Resource Control in Federated Learning. - Yufeng Zhan; Peng Li 017; Leijie Wu; Song Guo 001 (IEEE Trans. Computers, 2022)

A Survey of Incentive Mechanism Design for Federated Learning. - Yufeng Zhan; Jie Zhang 076; Zicong Hong; Leijie Wu; Peng Li 017; Song Guo 001 (IEEE Trans. Emerg. Top. Comput., 2022)

On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions. - Leijie Wu; Song Guo 001; Junxiao Wang; Zicong Hong; Jie Zhang 076; Jingren Zhou 001 (CoRR, 2023)

QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation. - Akash Balasaheb Dhasade; Yaohong Ding; Song Guo 001; Anne-Marie Kermarrec; Martijn de Vos; Leijie Wu (CoRR, 2023)

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation. - Akash Balasaheb Dhasade; Yaohong Ding; Song Guo 001; Anne-Marie Kermarrec; Martijn de Vos; Leijie Wu (Middleware, 2024)

Long-Term Adaptive VCG Auction Mechanism for Sustainable Federated Learning With Periodical Client Shifting. - Leijie Wu; Song Guo 001; Zicong Hong; Yi Liu 057; Wenchao Xu 001; Yufeng Zhan (IEEE Trans. Mob. Comput., 2024)

Chiron: A Robustness-Aware Incentive Scheme for Edge Learning via Hierarchical Reinforcement Learning. - Yi Liu 057; Song Guo 001; Yufeng Zhan; Leijie Wu; Zicong Hong; Qihua Zhou (IEEE Trans. Mob. Comput., 2024)

Rethinking Personalized Client Collaboration in Federated Learning. - Leijie Wu; Song Guo 001; Yaohong Ding; Junxiao Wang; Wenchao Xu 001; Yufeng Zhan; Anne-Marie Kermarrec (IEEE Trans. Mob. Comput., 2024)

AutoSchemaKG: Autonomous Knowledge Graph Construction through Dynamic Schema Induction from Web-Scale Corpora. - Jiaxin Bai; Wei Fan 001; Qi Hu; Qing Zong; Chunyang Li; Hong Ting Tsang; Hongyu Luo; Yauwai Yim; Haoyu Huang; Xiaofang Zhou 001; Feng Qin; Tianshi Zheng; et al. (CoRR, 2025)