| Multi-View Multi-Label Learning with View-Specific Information Extraction. X Wu, QG Chen, Y Hu, D Wang, X Chang, X Wang, ML Zhang IJCAI, 3884-3890, 2019 | 69 | 2019 |
| Multi-view partial multi-label learning with graph-based disambiguation ZS Chen, X Wu, QG Chen, Y Hu, ML Zhang Proceedings of the AAAI Conference on artificial intelligence 34 (04), 3553-3560, 2020 | 40 | 2020 |
| Multi-View Active Learning for Video Recommendation. JJ Cai, J Tang, QG Chen, Y Hu, X Wang, SJ Huang IJCAI 2019, 2053-2059, 2019 | 30 | 2019 |
| Feature-induced manifold disambiguation for multi-view partial multi-label learning JH Wu, X Wu, QG Chen, Y Hu, ML Zhang Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 23 | 2020 |
| Deep time-stream framework for click-through rate prediction by tracking interest evolution ST Shi, W Zheng, J Tang, QG Chen, Y Hu, J Zhu, M Li Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5726-5733, 2020 | 9 | 2020 |
| Multi-label zero-shot classification by learning to transfer from external knowledge H Huang, Y Chen, W Tang, W Zheng, QG Chen, Y Hu, P Yu arXiv preprint arXiv:2007.15610, 2020 | 8 | 2020 |
| Sparse attentive memory network for click-through rate prediction with long sequences Q Lin, WJ Zhou, Y Wang, Q Da, QG Chen, B Wang Proceedings of the 31st ACM International Conference on Information …, 2022 | 5 | 2022 |
| Non-stationary continuum-armed bandits for online hyperparameter optimization S Lu, YH Zhou, JC Shi, W Zhu, Q Yu, QG Chen, Q Da, L Zhang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 4 | 2022 |
| Learning to Augment Imbalanced Data for Re-ranking Models ZH Qiu, YC Jian, QG Chen, L Zhang Proceedings of the 30th ACM International Conference on Information …, 2021 | 1 | 2021 |
| Iterative Memory Network for Long Sequential User Behavior Modeling in Recommender Systems Q Lin, WJ Zhou, Y Wang, Q Da, QG Chen, B Wang | | 2021 |
