A hybrid teaching-learning-based optimization algorithm for QoS-aware manufacturing cloud service composition. - Hong Jin; Cheng Jiang; Shengping Lv; Haiping He; Xinting Liao (Computing, 2022)

PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation. - Xinting Liao; Weiming Liu 005; Xiaolin Zheng; Binhui Yao; Chaochao Chen 001 (AAAI, 2023)

Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering. - Xiaolin Zheng; Mengling Hu; Weiming Liu 005; Chaochao Chen 001; Xinting Liao (ACL (1), 2023)

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

Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jianwei Yin; Yanchao Tan; Longfei Zheng (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; Huabin Zhu; Shuheng Shen; Weiqiang Wang 002; Mengling Hu; Yanchao Tan; Xiaolin Zheng (ACM Multimedia, 2023)

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Mengling Hu; Xinting Liao; Fan Wang 020; Yanchao Tan; Dan Meng 001; Jun Wang 020 (ACM Multimedia, 2023)

Joint Internal Multi-Interest Exploration and External Domain Alignment for Cross Domain Sequential Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (WWW, 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; Huabin Zhu; Shuheng Shen; Weiqiang Wang; Mengling Hu; Yanchao Tan; Xiaolin Zheng (CoRR, 2023)

Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinyi Zhang; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

Federated Learning for Short Text Clustering. - Mengling Hu; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Xiaolin Zheng (CoRR, 2023)

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Yanchao Tan; Fan Wang 020; Xiaolin Zheng; Yew Soon Ong (AAAI, 2024)

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 (ACL (1), 2024)

Trustworthy dual-scale defect detection network for diversified electronic products. - Xinting Liao; Jie Zhang; Junliang Wang (CASE, 2024)

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

Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Yanchao Tan; Yew-Soon Ong (ICML, 2024)

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning. - Zhenghong Lin; Wei Huang; Hengyu Zhang 001; Jiayu Xu; Weiming Liu 005; Xinting Liao; Fan Wang 020; Shiping Wang; Yanchao Tan (IJCAI, 2024)

CE-RCFR: Robust Counterfactual Regression for Consensus-Enabled Treatment Effect Estimation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Tianhao Fan; Xinting Liao; Yanchao Tan; Lianyong Qi; Xiaolin Zheng (KDD, 2024)

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

User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Xinting Liao; Mengling Hu; Jiajie Su; Yanchao Tan; Fan Wang 020 (WWW, 2024)

Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows. - Yanchao Tan; Hengyu Zhang 001; Zihao Zhou; Guofang Ma; Fan Wang 020; Weiming Liu 005; Xinting Liao; Vicki Stover Hertzberg; Carl Yang 001 (WWW (Companion Volume), 2024)

Mining User Consistent and Robust Preference for Unified Cross Domain Recommendation. - Xiaolin Zheng; Weiming Liu 005; Chaochao Chen 001; Jiajie Su; Xinting Liao; Mengling Hu; Yanchao Tan (IEEE Trans. Knowl. Data Eng., 2024)

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

Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment. - Weiming Liu 005; Jun Dan; Fan Wang 020; Xinting Liao; Junhao Dong 001; Hua Yu 006; Shunjie Dong; Lianyong Qi (CVPR, 2025)

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

Joint Similarity Item Exploration and Overlapped User Guidance for Multi-Modal Cross-Domain Recommendation. - Weiming Liu 005; Chaochao Chen 001; Jiahe Xu 003; Xinting Liao; Fan Wang 020; Xiaolin Zheng; Zhihui Fu; Ruiguang Pei; Jun Wang 020 (WWW, 2025)

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