| 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 | 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 |
| 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 | 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 |
| 2022 | WWW | Collaborative Filtering with Attribution Alignment for Review-based Non-overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Mengling Hu, Chaochao Chen |
| 2022 | SIGIR | Exploiting Variational Domain-Invariant User Embedding for Partially Overlapped Cross Domain Recommendation. | Weiming Liu, Xiaolin Zheng, Jiajie Su, Mengling Hu, Yanchao Tan, Chaochao Chen |