| Self-supervised hypergraph convolutional networks for session-based recommendation X Xia, H Yin, J Yu, Q Wang, L Cui, X Zhang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4503-4511, 2021 | 495 | 2021 |
| Self-supervised multi-channel hypergraph convolutional network for social recommendation J Yu, H Yin, J Li, Q Wang, NQV Hung, X Zhang Proceedings of the web conference 2021, 413-424, 2021 | 419 | 2021 |
| Social influence-based group representation learning for group recommendation H Yin, Q Wang, K Zheng, Z Li, J Yang, X Zhou 2019 IEEE 35th International Conference on Data Engineering (ICDE), 566-577, 2019 | 229 | 2019 |
| Streaming session-based recommendation L Guo, H Yin, Q Wang, T Chen, A Zhou, N Quoc Viet Hung Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 180 | 2019 |
| Neural memory streaming recommender networks with adversarial training Q Wang, H Yin, Z Hu, D Lian, H Wang, Z Huang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018 | 174 | 2018 |
| Streaming ranking based recommender systems W Wang, H Yin, Z Huang, Q Wang, X Du, QVH Nguyen The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 133 | 2018 |
| Enhancing collaborative filtering with generative augmentation Q Wang, H Yin, H Wang, QVH Nguyen, Z Huang, L Cui Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 131 | 2019 |
| Fast-adapting and privacy-preserving federated recommender system Q Wang, H Yin, T Chen, J Yu, A Zhou, X Zhang The VLDB Journal 31 (5), 877-896, 2022 | 111 | 2022 |
| Next point-of-interest recommendation on resource-constrained mobile devices Q Wang, H Yin, T Chen, Z Huang, H Wang, Y Zhao, NQ Viet Hung Proceedings of the Web conference 2020, 906-916, 2020 | 108 | 2020 |
| Generating reliable friends via adversarial training to improve social recommendation J Yu, M Gao, H Yin, J Li, C Gao, Q Wang 2019 IEEE international conference on data mining (ICDM), 768-777, 2019 | 99 | 2019 |
| Llmrec: Large language models with graph augmentation for recommendation W Wei, X Ren, J Tang, Q Wang, L Su, S Cheng, J Wang, D Yin, C Huang Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 92 | 2024 |
| A location-sentiment-aware recommender system for both home-town and out-of-town users H Wang, Y Fu, Q Wang, H Yin, C Du, H Xiong Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 80 | 2017 |
| Overcoming data sparsity in group recommendation H Yin, Q Wang, K Zheng, Z Li, X Zhou IEEE Transactions on Knowledge and Data Engineering 34 (7), 3447-3460, 2020 | 71 | 2020 |
| Group recommendation with latent voting mechanism L Guo, H Yin, Q Wang, B Cui, Z Huang, L Cui 2020 IEEE 36th International Conference on Data Engineering (ICDE), 121-132, 2020 | 58 | 2020 |
| On-device next-item recommendation with self-supervised knowledge distillation X Xia, H Yin, J Yu, Q Wang, G Xu, QVH Nguyen Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 46 | 2022 |
| Inferring Substitutable Products with Deep Network Embedding. S Zhang, H Yin, Q Wang, T Chen, H Chen, QVH Nguyen IJCAI, 4306-4312, 2019 | 43 | 2019 |
| Efficient on-device session-based recommendation X Xia, J Yu, Q Wang, C Yang, NQV Hung, H Yin ACM Transactions on Information Systems 41 (4), 1-24, 2023 | 30 | 2023 |
| Multi-hop path queries over knowledge graphs with neural memory networks Q Wang, H Yin, W Wang, Z Huang, G Guo, QVH Nguyen Database Systems for Advanced Applications: 24th International Conference …, 2019 | 15 | 2019 |
| PeopleVis: A visual analysis system for mining travel behavior X Zhang, Q Wang 2017 IEEE 21st International Conference on Computer Supported Cooperative …, 2017 | 6 | 2017 |
| A parallel implementation of idea graph to extract rare chances from big data Q Wang, H Wang, C Zhang, W Wang, Z Chen, F Xu 2014 IEEE International Conference on Data Mining Workshop, 503-510, 2014 | 6 | 2014 |
