| 2025 | AAAI | FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Wenkai Shen, Jiahe Xu, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | CIKM | 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, Zijun Zhou, Jun Wang, Chaochao Chen |
| 2025 | CVPR | Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. | Weiming Liu, Jun Dan, Fan Wang, Xinting Liao, Junhao Dong, Hua Yu, Shunjie Dong, Lianyong Qi |
| 2025 | ICML | FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models. | Xinting Liao, Weiming Liu, Jiaming Qian, Pengyang Zhou, Jiahe Xu, Wenjie Wang, Chaochao Chen, Xiaolin Zheng, Tat-Seng Chua |
| 2025 | ICML | Efficient Source-free Unlearning via Energy-Guided Data Synthesis and Discrimination-Aware Multitask Optimization. | Xiuyuan Wang, Chaochao Chen, Weiming Liu, Xinting Liao, Fan Wang, Xiaolin Zheng |
| 2025 | KDD | Tackling Federated Long-Tailed Learning via Synthetic Feature-Based Decoupled Training. | Huabin Zhu, Chaochao Chen, Xinting Liao, Pengyang Zhou, Xiaolin Zheng |
| 2025 | WWW | Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Xiaolin Zheng, Zhihui Fu, Ruiguang Pei, Jun Wang |
| 2025 | SIGIR | Joint Item Embedding Dual-view Exploration and Adaptive Local-Global Fusion for Federated Recommendation. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Wenkai Shen, Xinting Liao, Huarong Deng, Zhihui Fu, Jun Wang, Wu Wen, Xiaolin Zheng |
| 2025 | WSDM | FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. | Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang |
| 2024 | AAAI | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong |
| 2024 | ACL | Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal. | Jianheng Huang, Leyang Cui, Ante Wang, Chengyi Yang, Xinting Liao, Linfeng Song, Junfeng Yao, Jinsong Su |
| 2024 | CVPR | Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Fengyuan Yu, Huabin Zhu, Binhui Yao, Tao Wang, Xiaolin Zheng, Yanchao Tan |
| 2024 | ICML | Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong |
| 2024 | IJCAI | Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. | Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu, Xinting Liao, Fan Wang, Shiping Wang, Yanchao Tan |
| 2024 | KDD | CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. | Fan Wang, Chaochao Chen, Weiming Liu, Tianhao Fan, Xinting Liao, Yanchao Tan, Lianyong Qi, Xiaolin Zheng |
| 2024 | WWW | User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jiajie Su, Yanchao Tan, Fan Wang |
| 2024 | WWW | Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. | Yanchao Tan, Hengyu Zhang, Zihao Zhou, Guofang Ma, Fan Wang, Weiming Liu, Xinting Liao, Vicki Stover Hertzberg, Carl Yang |
| 2023 | AAAI | PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. | Xinting Liao, Weiming Liu, Xiaolin Zheng, Binhui Yao, Chaochao Chen |
| 2023 | ACL | Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. | Xiaolin Zheng, Mengling Hu, Weiming Liu, Chaochao Chen, Xinting Liao |
| 2023 | IJCAI | HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning. | Xinting Liao, Weiming Liu, Chaochao Chen, Pengyang Zhou, Huabin Zhu, Yanchao Tan, Jun Wang, Yue Qi |
| 2023 | IJCAI | Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin, Yanchao Tan, Longfei Zheng |
| 2023 | WWW | Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. | Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu, Yanchao Tan |