| Joint internal multi-interest exploration and external domain alignment for cross domain sequential recommendation W Liu, X Zheng, C Chen, J Su, X Liao, M Hu, Y Tan Proceedings of the ACM Web Conference 2023, 383-394, 2023 | 21 | 2023 |
| Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation. W Liu, C Chen, X Liao, M Hu, J Yin, Y Tan, L Zheng IJCAI, 2206-2214, 2023 | 11 | 2023 |
| Ppgencdr: A stable and robust framework for privacy-preserving cross-domain recommendation X Liao, W Liu, X Zheng, B Yao, C Chen Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4453-4461, 2023 | 11 | 2023 |
| Mitigating catastrophic forgetting in large language models with self-synthesized rehearsal J Huang, L Cui, A Wang, C Yang, X Liao, L Song, J Yao, J Su arXiv preprint arXiv:2403.01244, 2024 | 6 | 2024 |
| HyperFed: hyperbolic prototypes exploration with consistent aggregation for non-IID data in federated learning X Liao, W Liu, C Chen, P Zhou, H Zhu, Y Tan, J Wang, Y Qi arXiv preprint arXiv:2307.14384, 2023 | 5 | 2023 |
| Differentially private sparse mapping for privacy-preserving cross domain recommendation W Liu, X Zheng, C Chen, M Hu, X Liao, F Wang, Y Tan, D Meng, J Wang Proceedings of the 31st ACM International Conference on Multimedia, 6243-6252, 2023 | 3 | 2023 |
| Joint local relational augmentation and global nash equilibrium for federated learning with non-iid data X Liao, C Chen, W Liu, P Zhou, H Zhu, S Shen, W Wang, M Hu, Y Tan, ... Proceedings of the 31st ACM International Conference on Multimedia, 1536-1545, 2023 | 3 | 2023 |
| Robust representation learning with reliable pseudo-labels generation via self-adaptive optimal transport for short text clustering X Zheng, M Hu, W Liu, C Chen, X Liao arXiv preprint arXiv:2305.16335, 2023 | 3 | 2023 |
| User Distribution Mapping Modelling with Collaborative Filtering for Cross Domain Recommendation W Liu, C Chen, X Liao, M Hu, J Su, Y Tan, F Wang Proceedings of the ACM on Web Conference 2024, 334-343, 2024 | 1 | 2024 |
| Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation W Liu, C Chen, X Liao, M Hu, Y Tan, F Wang, X Zheng, YS Ong Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8815-8823, 2024 | 1 | 2024 |
| Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data X Liao, W Liu, C Chen, P Zhou, F Yu, H Zhu, B Yao, T Wang, X Zheng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Enhancing Progressive Diagnosis Prediction in Healthcare with Continuous Normalizing Flows Y Tan, H Zhang, Z Zhou, G Ma, F Wang, W Liu, X Liao, VS Hertzberg, ... Companion Proceedings of the ACM on Web Conference 2024, 1166-1169, 2024 | | 2024 |
| Federated Learning for Short Text Clustering M Hu, C Chen, W Liu, X Liao, X Zheng arXiv preprint arXiv:2312.07556, 2023 | | 2023 |
| Learning Uniform Clusters on Hypersphere for Deep Graph-level Clustering M Hu, C Chen, W Liu, X Zhang, X Liao, X Zheng arXiv preprint arXiv:2311.13953, 2023 | | 2023 |
| Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation W Liu, X Zheng, C Chen, J Xu, X Liao, F Wang, Y Tan, YS Ong Forty-first International Conference on Machine Learning, 0 | | |
| Solving (partial) unbalanced optimal transport via transform coefficients and beyond W Liu, X Liao, C Chen, X Zheng, GY Chen, Y Tan, F Wang, YS Ong | | |
