HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou 001; Huabin Zhu; Yanchao Tan; Jun Wang 020; Yue Qi (IJCAI, 2023)

Joint Local Relational Augmentation and Global Nash Equilibrium for Federated Learning with Non-IID Data. - Xinting Liao; Chaochao Chen 001; Weiming Liu 005; Pengyang Zhou 001; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. - Xinting Liao; Weiming Liu 005; Chaochao Chen 001; Pengyang Zhou 001; Fengyuan Yu; Huabin Zhu; Binhui Yao; Tao Wang; Xiaolin Zheng; Yanchao Tan (CVPR, 2024)

FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection. - Xinting Liao; Weiming Liu 005; Pengyang Zhou 001; Fengyuan Yu; Jiahe Xu 003; Jun Wang 020; Wenjie Wang 007; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2024)

FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. - Pengyang Zhou 001; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Wenkai Shen; Jiahe Xu 003; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (AAAI, 2025)

Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype. - Jiaming Qian; Xinting Liao; Xiangmou Qu; Zhihui Fu; Xingyu Lou; Changwang Zhang; Pengyang Zhou 001; Zijun Zhou; Jun Wang 020; Chaochao Chen 001 (CIKM, 2025)

FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. - Xinting Liao; Weiming Liu 005; Jiaming Qian; Pengyang Zhou 001; Jiahe Xu 003; Wenjie Wang 007; Chaochao Chen 001; Xiaolin Zheng; Tat-Seng Chua (ICML, 2025)

Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. - Huabin Zhu; Chaochao Chen 001; Xinting Liao; Pengyang Zhou 001; Xiaolin Zheng (KDD (2), 2025)

Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. - Pengyang Zhou 001; Chaochao Chen 001; Weiming Liu 005; Wenkai Shen; Xinting Liao; Huarong Deng; Zhihui Fu; Jun Wang 020; Wu Wen; Xiaolin Zheng (SIGIR, 2025)

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. - Pengyang Zhou 001; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Fengyuan Yu; Zhihui Fu; Xingyu Lou; Wu Wen; Xiaolin Zheng; Jun Wang 020 (WSDM, 2025)

LLM-enhanced Federated Graph Learning with Geometry-aware Graph Projection and Shared Subspace Aggregation. - Pengyang Zhou 001; Zhihao Huang; Jiahe Xu 003; Wu Wen; Xiaolin Zheng; Chaochao Chen 001; Jianwei Yin (WWW, 2026)

COMPASS: Cognitive MCTS-Guided Process Alignment for Safe Search Agents. - Wenkai Shen; Pengyang Zhou 001; Jiahe Xu 003; Jiaming Qian; Haozhe He; Zhihao Huang; Chaochao Chen 001; Xiaolin Zheng (CoRR, 2026)