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 | 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 | 49 | 2022 |
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 | 48 | 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 | 39 | 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 | 35 | 2023 |
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 | 23 | 2023 |
Mmrec: Simplifying multimodal recommendation X Zhou Proceedings of the 5th ACM International Conference on Multimedia in Asia …, 2023 | 19 | 2023 |
Enhancing Dyadic Relations with Homogeneous Graphs for Multimodal Recommendation H Zhou, X Zhou, L Zhang, Z Shen ECAI 2023, 3123-3130, 2023 | 19 | 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 | 19 | 2022 |
Multimodal pre-training framework for sequential recommendation via contrastive learning L Zhang, X Zhou, Z Shen arXiv preprint arXiv:2303.11879, 2023 | 14 | 2023 |
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 | 14 | 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 |
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 | 11 | 2021 |
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 | 10 | 2023 |
M2GCN: multi-modal graph convolutional network for modeling polypharmacy side effects Q Liu, E Yao, C Liu, X Zhou, Y Li, M Xu Applied Intelligence 53 (6), 6814-6825, 2023 | 8 | 2023 |
Energy-based particle swarm optimization: collective energy homeostasis in social autonomous robots X Zhou, D Kinny 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2013 | 8 | 2013 |
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 | 7 | 2021 |
ARM: Toward adaptive and robust model for reputation aggregation X Zhou, Y Murakami, T Ishida, X Liu, G Huang IEEE Transactions on Automation Science and Engineering 17 (1), 88-99, 2019 | 7 | 2019 |
Dynamic sliding window model for service reputation X Zhou, T Ishida, Y Murakami 2015 IEEE International Conference on Services Computing, 25-32, 2015 | 7 | 2015 |
LogPruner: detect, analyze and prune logging calls in Android apps X Zhou, K Wu, H Cai, S Lou, Y Zhang, G Huang Science China. Information Sciences 61 (5), 050107, 2018 | 6 | 2018 |