| Online learning: A comprehensive survey SCH Hoi, D Sahoo, J Lu, P Zhao Neurocomputing 459, 249-289, 2021 | 898 | 2021 |
| Online deep learning: Learning deep neural networks on the fly D Sahoo, Q Pham, J Lu, SCH Hoi arXiv preprint arXiv:1711.03705, 2017 | 410 | 2017 |
| Large scale online kernel learning J Lu, SCH Hoi, J Wang, P Zhao, ZY Liu Journal of Machine Learning Research 17 (47), 1-43, 2016 | 211 | 2016 |
| Online passive-aggressive active learning J Lu, P Zhao, SCH Hoi Machine learning 103, 141-183, 2016 | 83 | 2016 |
| Second order online collaborative filtering J Lu, S Hoi, J Wang Asian Conference on Machine Learning, 325-340, 2013 | 46 | 2013 |
| TWIN: TWo-stage interest network for lifelong user behavior modeling in CTR prediction at kuaishou J Chang, C Zhang, Z Fu, X Zang, L Guan, J Lu, Y Hui, D Leng, Y Niu, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 41 | 2023 |
| Category-Specific CNN for Visual-aware CTR Prediction at JD. com H Liu, J Lu, H Yang, X Zhao, S Xu, H Peng, Z Zhang, W Niu, X Zhu, Y Bao, ... Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 39 | 2020 |
| Second-order online active learning and its applications S Hao, J Lu, P Zhao, C Zhang, SCH Hoi, C Miao IEEE Transactions on Knowledge and Data Engineering 30 (7), 1338-1351, 2017 | 37 | 2017 |
| Sampling wisely: Deep image embedding by top-k precision optimization J Lu, C Xu, W Zhang, LY Duan, T Mei Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 34 | 2019 |
| Online passive aggressive active learning and its applications J Lu, P Zhao, S Hoi Asian Conference on Machine Learning, 266-282, 2015 | 27 | 2015 |
| Soal: Second-order online active learning S Hao, P Zhao, J Lu, SCH Hoi, C Miao, C Zhang 2016 IEEE 16th International Conference on Data Mining (ICDM), 931-936, 2016 | 26 | 2016 |
| Kalman filtering attention for user behavior modeling in ctr prediction H Liu, J Lu, X Zhao, S Xu, H Peng, Y Liu, Z Zhang, J Li, J Jin, Y Bao, ... Advances in Neural Information Processing Systems 33, 9228-9238, 2020 | 25 | 2020 |
| SOL: A library for scalable online learning algorithms Y Wu, SCH Hoi, C Liu, J Lu, D Sahoo, N Yu Neurocomputing 260, 9-12, 2017 | 25 | 2017 |
| Sparse passive-aggressive learning for bounded online kernel methods J Lu, D Sahoo, P Zhao, SCH Hoi ACM Transactions on Intelligent Systems and Technology (TIST) 9 (4), 1-27, 2018 | 21 | 2018 |
| Online sparse passive aggressive learning with kernels J Lu, P Zhao, SCH Hoi Proceedings of the 2016 SIAM International Conference on Data Mining, 675-683, 2016 | 17 | 2016 |
| Knowledge-enhanced causal reinforcement learning model for interactive recommendation W Nie, X Wen, J Liu, J Chen, J Wu, G Jin, J Lu, AA Liu IEEE Transactions on Multimedia 26, 1129-1142, 2023 | 15 | 2023 |
| Implicit User Awareness Modeling via Candidate Items for CTR Prediction in Search Ads K Zheng, L Wang, Y Li, X Chen, H Liu, J Lu, X Zhao, C Peng, Z Lin, ... Proceedings of the ACM Web Conference 2022, 246-255, 2022 | 13 | 2022 |
| Leveraging watch-time feedback for short-video recommendations: A causal labeling framework Y Zhang, Y Bai, J Chang, X Zang, S Lu, J Lu, F Feng, Y Niu, Y Song Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 11 | 2023 |
| Twin v2: Scaling ultra-long user behavior sequence modeling for enhanced ctr prediction at kuaishou Z Si, L Guan, ZX Sun, X Zang, J Lu, Y Hui, X Cao, Z Yang, Y Zheng, ... Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 7 | 2024 |
| LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting Y Bai, Y Zhang, J Lu, J Chang, X Zang, Y Niu, Y Song, F Feng Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 4 | 2024 |
Steven C.H. HoiManaging Director of Salesforce Research Asia; IEEE Fellow; Professor at SMUبريد إلكتروني تم التحقق منه على smu.edu.sg
