| Bootstrap latent representations for multi-modal recommendation X Zhou, H Zhou, Y Liu, Z Zeng, C Miao, P Wang, Y You, F Jiang Proceedings of the ACM Web Conference 2023, 845-854, 2023 | 134 | 2023 |
| A tale of two graphs: Freezing and denoising graph structures for multimodal recommendation X Zhou, Z Shen Proceedings of the 31st ACM International Conference on Multimedia, 935-943, 2023 | 88 | 2023 |
| Selfcf: A simple framework for self-supervised collaborative filtering X Zhou, A Sun, Y Liu, J Zhang, C Miao ACM Transactions on Recommender Systems 1 (2), 1-25, 2023 | 73 | 2023 |
| A comprehensive survey on multimodal recommender systems: Taxonomy, evaluation, and future directions H Zhou, X Zhou, Z Zeng, L Zhang, Z Shen arXiv preprint arXiv:2302.04473, 2023 | 67 | 2023 |
| A semi-centralized trust management model based on blockchain for data exchange in iot system Y Liu, C Zhang, Y Yan, X Zhou, Z Tian, J Zhang IEEE Transactions on Services Computing 16 (2), 858-871, 2022 | 56 | 2022 |
| Layer-refined graph convolutional networks for recommendation X Zhou, D Lin, Y Liu, C Miao 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1247-1259, 2023 | 49 | 2023 |
| Mmrec: Simplifying multimodal recommendation X Zhou Proceedings of the 5th ACM International Conference on Multimedia in Asia …, 2023 | 47 | 2023 |
| Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation H Zhou, X Zhou, L Zhang, Z Shen ECAI 2023, 3123-3130, 2023 | 37 | 2023 |
| Diffusion-based graph contrastive learning for recommendation with implicit feedback L Zhang, Y Liu, X Zhou, C Miao, G Wang, H Tang International Conference on Database Systems for Advanced Applications, 232-247, 2022 | 27 | 2022 |
| Multimodal pre-training framework for sequential recommendation via contrastive learning L Zhang, X Zhou, Z Zeng, Z Shen arXiv preprint arXiv:2303.11879, 2023 | 23 | 2023 |
| Inductive graph transformer for delivery time estimation X Zhou, J Wang, Y Liu, X Wu, Z Shen, C Leung Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 19 | 2023 |
| Disentangled Graph Variational Auto-Encoder for Multimodal Recommendation With Interpretability X Zhou, C Miao IEEE Transactions on Multimedia, 2024 | 16 | 2024 |
| Evaluating reputation of web services under rating scarcity X Zhou, D Lin, T Ishida 2016 IEEE International Conference on Services Computing (SCC), 211-218, 2016 | 15 | 2016 |
| A swarm intelligence based algorithm for distribute search and collective cleanup D Liu, X Zhou, A Liang, H Guan 2010 IEEE International Conference on Intelligent Computing and Intelligent …, 2010 | 14 | 2010 |
| Delivery time prediction using large-scale graph structure learning based on quantile regression L Zhang, X Zhou, Z Zeng, Y Cao, Y Xu, M Wang, X Wu, Y Liu, L Cui, ... 2023 IEEE 39th International Conference on Data Engineering (ICDE), 3403-3416, 2023 | 12 | 2023 |
| A Comprehensive Survey on Multimodal Recommender Systems: Taxonomy H Zhou, X Zhou, Z Zeng, L Zhang, Z Shen Evaluation, and Future Directions. CoRR abs/2302.04473, 2023 | 12 | 2023 |
| 3R model: A post-purchase context-aware reputation model to mitigate unfair ratings in e-commerce Y Liu, X Zhou, H Yu Knowledge-Based Systems 231, 107441, 2021 | 12 | 2021 |
| Are ID Embeddings Necessary? Whitening Pre-trained Text Embeddings for Effective Sequential Recommendation L Zhang, X Zhou, Z Zeng, Z Shen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 2024 | 10 | 2024 |
| Graph convolutional reinforcement learning for dependent task allocation in edge computing S Ding, D Lin, X Zhou 2021 IEEE International Conference on Agents (ICA), 25-30, 2021 | 10 | 2021 |
| GreenRec: A Large-Scale Dataset for Green Food Recommendation L Zhang, Y Zhang, X Zhou, Z Shen Companion Proceedings of the ACM on Web Conference 2024, 625-628, 2024 | 9 | 2024 |
Zhiqi ShenNanyang Technological UniversityVerified email at ntu.edu.sg
