| Sparse-interest network for sequential recommendation Q Tan, J Zhang, J Yao, N Liu, J Zhou, H Yang, X Hu Proceedings of the 14th ACM international conference on web search and data …, 2021 | 156 | 2021 |
| S2gae: Self-supervised graph autoencoders are generalizable learners with graph masking Q Tan, N Liu, X Huang, SH Choi, L Li, R Chen, X Hu Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 140* | 2023 |
| Deep representation learning for social network analysis Q Tan, N Liu, X Hu Frontiers in big Data 2, 2, 2019 | 138 | 2019 |
| Incomplete multi-view weak-label learning. Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang Ijcai, 2703-2709, 2018 | 120 | 2018 |
| Learning to hash with graph neural networks for recommender systems Q Tan, N Liu, X Zhao, H Yang, J Zhou, X Hu Proceedings of The Web Conference 2020, 1988-1998, 2020 | 108 | 2020 |
| Is a single vector enough? exploring node polysemy for network embedding N Liu, Q Tan, Y Li, H Yang, J Zhou, X Hu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 103 | 2019 |
| Individuality-and commonality-based multiview multilabel learning Q Tan, G Yu, J Wang, C Domeniconi, X Zhang IEEE transactions on cybernetics 51 (3), 1716-1727, 2019 | 77 | 2019 |
| Dynamic memory based attention network for sequential recommendation Q Tan, J Zhang, N Liu, X Huang, H Yang, J Zhou, X Hu Proceedings of the AAAI conference on artificial intelligence 35 (5), 4384-4392, 2021 | 76 | 2021 |
| Temporal augmented graph neural networks for session-based recommendations H Zhou, Q Tan, X Huang, K Zhou, X Wang Proceedings of the 44th International ACM SIGIR conference on research and …, 2021 | 66 | 2021 |
| Semi-supervised multi-label classification using incomplete label information Q Tan, Y Yu, G Yu, J Wang Neurocomputing 260, 192-202, 2017 | 57 | 2017 |
| Bring your own view: Graph neural networks for link prediction with personalized subgraph selection Q Tan, X Zhang, N Liu, D Zha, L Li, R Chen, SH Choi, X Hu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 48 | 2023 |
| Chatgraph: Interpretable text classification by converting chatgpt knowledge to graphs Y Shi, H Ma, W Zhong, Q Tan, G Mai, X Li, T Liu, J Huang 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 515-520, 2023 | 43 | 2023 |
| Active ensemble learning for knowledge graph error detection J Dong, Q Zhang, X Huang, Q Tan, D Zha, Z Zihao Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 42 | 2023 |
| Multi-label classification based on low rank representation for image annotation Q Tan, Y Liu, X Chen, G Yu Remote Sensing 9 (2), 109, 2017 | 39 | 2017 |
| Hierarchy-aware multi-hop question answering over knowledge graphs J Dong, Q Zhang, X Huang, K Duan, Q Tan, Z Jiang Proceedings of the ACM Web Conference 2023, 2519-2527, 2023 | 36 | 2023 |
| Multi-view weak-label learning based on matrix completion Q Tan, G Yu, C Domeniconi, J Wang, Z Zhang Proceedings of the 2018 SIAM International conference on data mining, 450-458, 2018 | 36 | 2018 |
| Dreamshard: Generalizable embedding table placement for recommender systems D Zha, L Feng, Q Tan, Z Liu, KH Lai, B Bhushanam, Y Tian, A Kejariwal, ... Advances in Neural Information Processing Systems 35, 15190-15203, 2022 | 35 | 2022 |
| Subtractive aggregation for attributed network anomaly detection S Zhou, Q Tan, Z Xu, X Huang, F Chung Proceedings of the 30th ACM International Conference on Information …, 2021 | 33 | 2021 |
| Towards automated imbalanced learning with deep hierarchical reinforcement learning D Zha, KH Lai, Q Tan, S Ding, N Zou, XB Hu Proceedings of the 31st ACM International Conference on Information …, 2022 | 29 | 2022 |
| Weighted samples based semi-supervised classification X Chen, G Yu, Q Tan, J Wang Applied Soft Computing 79, 46-58, 2019 | 29 | 2019 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice Universityrice.edu의 이메일 확인됨