Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Jiajie Su; Chaochao Chen 001; Xiaolin Zheng (NeurIPS, 2021)

Partial Relaxed Optimal Transport for Denoised Recommendation. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Ziyue Wu; Weiming Liu 005; Xiaolin Zheng (DL4SR@CIKM, 2022)

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation. - Fan Wang 020; Weiming Liu 005; Chaochao Chen 001; Mengying Zhu; Xiaolin Zheng (IJCAI, 2022)

DDGHM: Dual Dynamic Graph with Hybrid Metric Training for Cross-Domain Sequential Recommendation. - Xiaolin Zheng; Jiajie Su; Weiming Liu 005; Chaochao Chen 001 (ACM Multimedia, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Mengling Hu; Yanchao Tan; Chaochao Chen 001 (SIGIR, 2022)

MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. - Yanchao Tan; Carl Yang 001; Xiangyu Wei; Chaochao Chen 001; Weiming Liu 005; Longfei Li; Jun Zhou 011; Xiaolin Zheng (SIGIR, 2022)

Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (WWW, 2022)

Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. - Weiming Liu 005; Xiaolin Zheng; Mengling Hu; Chaochao Chen 001 (CoRR, 2022)

Entire Space Counterfactual Learning: Tuning, Analytical Properties and Industrial Applications. - Hao Wang 049; Zhichao Chen 001; Jiajun Fan; Yuxin Huang 007; Weiming Liu 005; Xinggao Liu (CoRR, 2022)

RefFaceNet: Reference-based Face Image Generation from Line Art Drawings. - Shukai Wu; Weiming Liu 005; Qingqin Wang; Sanyuan Zhang; Zhenjie Hong; Shuchang Xu (Neurocomputing, 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)

Enhancing Personalized Healthcare via Capturing Disease Severity, Interaction, and Progression. - Yanchao Tan; Zihao Zhou; Leisheng Yu; Weiming Liu 005; Chaochao Chen 001; Guofang Ma; Xiao Hu 002; Vicki Stover Hertzberg; Carl Yang 001 (ICDM, 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)

In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Weiming Liu 005; Jun Wang 020; Wenjie Cheng; Yuyuan Li (ACM Multimedia, 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)

Contrastive Intra- and Inter-Modality Generation for Enhancing Incomplete Multimedia Recommendation. - Zhenghong Lin; Yanchao Tan; Yunfei Zhan; Weiming Liu 005; Fan Wang 020; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (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)

Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation. - Jiajie Su; Chaochao Chen 001; Zibin Lin; Xi Li 001; Weiming Liu 005; Xiaolin Zheng (ACM Multimedia, 2023)

FlexIcon: Flexible Icon Colorization via Guided Images and Palettes. - Shukai Wu; Yuhang Yang; Shuchang Xu; Weiming Liu 005; Xiao Yan; Sanyuan Zhang (ACM Multimedia, 2023)

UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition. - Yuyuan Li; Chaochao Chen 001; Yizhao Zhang; Weiming Liu 005; Lingjuan Lyu; Xiaolin Zheng; Dan Meng 001; Jun Wang 020 (NeurIPS, 2023)

WalkLM: A Uniform Language Model Fine-tuning Framework for Attributed Graph Embedding. - Yanchao Tan; Zihao Zhou; Hang Lv 010; Weiming Liu 005; Carl Yang 001 (NeurIPS, 2023)

Optimal Transport for Treatment Effect Estimation. - Hao Wang 049; Jiajun Fan; Zhichao Chen 001; Haoxuan Li 001; Weiming Liu 005; Tianqiao Liu; Quanyu Dai; Yichao Wang 002; Zhenhua Dong; Ruiming Tang (NeurIPS, 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)

Enhancing Hierarchy-Aware Graph Networks with Deep Dual Clustering for Session-based Recommendation. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Fei Wu 001; Xiaolin Zheng; Haoming Lyu (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)

Contrastive Proxy Kernel Stein Path Alignment for Cross-Domain Cold-Start Recommendation. - Weiming Liu 005; Xiaolin Zheng; Jiajie Su; Longfei Zheng; Chaochao Chen 001; Mengling Hu (IEEE Trans. Knowl. Data Eng., 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)

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems. - Zhongxuan Han; Chaochao Chen 001; Xiaolin Zheng; Meng Li; Weiming Liu 005; Binhui Yao; Yuyuan Li; Jianwei Yin (AAAI, 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)

Logical Relation Modeling and Mining in Hyperbolic Space for Recommendation. - Yanchao Tan; Hang Lv 010; Zihao Zhou; Wenzhong Guo; Bo Xiong; Weiming Liu 005; Chaochao Chen 001; Shiping Wang; Carl Yang 001 (ICDE, 2024)

Heterogeneous Hypergraph Structure Learning for Multimedia Recommendation. - Yanchao Tan; Zhenghong Lin; Sujie Pan; Siying Xu; Weiming Liu 005; Guofang Ma; Shiping Wang (ICME, 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)

Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation. - Lianyong Qi; Yuwen Liu; Weiming Liu 005; Shichao Pei; Xiaolong Xu 001; Xuyun Zhang; Yingjie Wang 002; Wanchun Dou (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)

HOGDA: Boosting Semi-supervised Graph Domain Adaptation via High-Order Structure-Guided Adaptive Feature Alignment. - Jun Dan; Weiming Liu 005; Mushui Liu; Chunfeng Xie; Shunjie Dong; Guofang Ma; Yanchao Tan; Jiazheng Xing (ACM Multimedia, 2024)

Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. - Hua Yu 006; Weiming Liu 005; Jiapeng Bai; Xu Gui 001; Yaqing Hou; Yew-Soon Ong; Qiang Zhang 008 (ACM Multimedia, 2024)

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering. - Jun Dan; Weiming Liu 005; Chunfeng Xie; Hua Yu 006; Shunjie Dong; Yanchao Tan (NeurIPS, 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)

Revisit Targeted Model Poisoning on Federated Recommendation: Optimize via Multi-objective Transport. - Jiajie Su; Chaochao Chen 001; Weiming Liu 005; Zibin Lin; Shuheng Shen; Weiqiang Wang 002; Xiaolin Zheng (SIGIR, 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)

GraphSAGE-based POI Recommendation via Continuous-Time Modeling. - Yuwen Liu; Lianyong Qi; Weiming Liu 005; Xiaolong Xu 001; Xuyun Zhang; Wanchun Dou (WWW (Companion Volume), 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)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects. - Yingrong Wang; Anpeng Wu; Haoxuan Li 001; Weiming Liu 005; Qiaowei Miao; Ruoxuan Xiong; Fei Wu 001; Kun Kuang (CoRR, 2024)

Automatic Hypergraph Generation for Enhancing Recommendation With Sparse Optimization. - Zhenghong Lin; Qishan Yan; Weiming Liu 005; Shiping Wang; Menghan Wang; Yanchao Tan; Carl Yang 001 (IEEE Trans. Multim., 2024)

Self-Driven Dual-Path Learning for Reference-Based Line Art Colorization Under Limited Data. - Shukai Wu; Xiao Yan; Weiming Liu 005; Shuchang Xu; Sanyuan Zhang (IEEE Trans. Circuits Syst. Video Technol., 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)

Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation. - Te Song; Lianyong Qi; Weiming Liu 005; Fan Wang 020; Xiaolong Xu 001; Xuyun Zhang; Amin Beheshti; Xiaokang Zhou; Wanchun Dou (AAAI, 2025)

DR-VAE: Debiased and Representation-enhanced Variational Autoencoder for Collaborative Recommendation. - Fan Wang 020; Chaochao Chen 001; Weiming Liu 005; Minye Lei; Jintao Chen; Yuwen Liu; Xiaolin Zheng; Jianwei Yin (AAAI, 2025)

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)

Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis. - Hua Yu 006; Weiming Liu 005; Gui Xu 001; Yaqing Hou; Yew-Soon Ong; Qiang Zhang 008 (CVPR, 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)

Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation. - Yuwen Liu; Lianyong Qi; Xingyuan Mao; Weiming Liu 005; Fan Wang 020; Xiaolong Xu 001; Xuyun Zhang; Wanchun Dou; Xiaokang Zhou; Amin Beheshti (WWW, 2025)

PerFedKG: two-stage information-loop federated knowledge graph for personalized privacy-preserving recommendation systems. - Fan Wang 020; Xuyun Zhang; Weiming Liu 005; Li Li; Yuwen Liu; Zhongyuan Zhang; Guanfeng Liu 001; Shengye Pang; Xiaolong Xu 001; Lianyong Qi (Sci. China Inf. Sci., 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)