| Deep interest network for click-through rate prediction G Zhou, X Zhu, C Song, Y Fan, H Zhu, X Ma, Y Yan, J Jin, H Li, K Gai Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 2062 | 2018 |
| Deep interest evolution network for click-through rate prediction G Zhou, N Mou, Y Fan, Q Pi, W Bian, C Zhou, X Zhu, K Gai Proceedings of the AAAI conference on artificial intelligence 33 (01), 5941-5948, 2019 | 1145 | 2019 |
| Entire space multi-task model: An effective approach for estimating post-click conversion rate X Ma, L Zhao, G Huang, Z Wang, Z Hu, X Zhu, K Gai The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 416 | 2018 |
| Learning tree-based deep model for recommender systems H Zhu, X Li, P Zhang, G Li, J He, H Li, K Gai Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 325 | 2018 |
| Practice on long sequential user behavior modeling for click-through rate prediction Q Pi, W Bian, G Zhou, X Zhu, K Gai Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 266 | 2019 |
| Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction Q Pi, G Zhou, Y Zhang, Z Wang, L Ren, Y Fan, X Zhu, K Gai Proceedings of the 29th ACM International Conference on Information …, 2020 | 249 | 2020 |
| Real-time bidding with multi-agent reinforcement learning in display advertising J Jin, C Song, H Li, K Gai, J Wang, W Zhang Proceedings of the 27th ACM international conference on information and …, 2018 | 222 | 2018 |
| Semantic human matting Q Chen, T Ge, Y Xu, Z Zhang, X Yang, K Gai Proceedings of the 26th ACM international conference on Multimedia, 618-626, 2018 | 182 | 2018 |
| Blind separation of superimposed moving images using image statistics K Gai, Z Shi, C Zhang IEEE transactions on pattern analysis and machine intelligence 34 (1), 19-32, 2011 | 161 | 2011 |
| Budget constrained bidding by model-free reinforcement learning in display advertising D Wu, X Chen, X Yang, H Wang, Q Tan, X Zhang, J Xu, K Gai Proceedings of the 27th ACM International Conference on Information and …, 2018 | 153 | 2018 |
| Optimized cost per click in taobao display advertising H Zhu, J Jin, C Tan, F Pan, Y Zeng, H Li, K Gai Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 150 | 2017 |
| Rocket launching: A universal and efficient framework for training well-performing light net G Zhou, Y Fan, R Cui, W Bian, X Zhu, K Gai Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 142 | 2018 |
| Lifelong sequential modeling with personalized memorization for user response prediction K Ren, J Qin, Y Fang, W Zhang, L Zheng, W Bian, G Zhou, J Xu, Y Yu, ... Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 140 | 2019 |
| Progressive feature polishing network for salient object detection B Wang, Q Chen, M Zhou, Z Zhang, X Jin, K Gai Proceedings of the AAAI conference on artificial intelligence 34 (07), 12128 …, 2020 | 118 | 2020 |
| Joint optimization of tree-based index and deep model for recommender systems H Zhu, D Chang, Z Xu, P Zhang, X Li, J He, H Li, J Xu, K Gai Advances in Neural Information Processing Systems 32, 2019 | 93 | 2019 |
| Bid optimization by multivariable control in display advertising X Yang, Y Li, H Wang, D Wu, Q Tan, J Xu, K Gai Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 84 | 2019 |
| Learning piece-wise linear models from large scale data for ad click prediction K Gai, X Zhu, H Li, K Liu, Z Wang arXiv preprint arXiv:1704.05194, 2017 | 84 | 2017 |
| Pepnet: Parameter and embedding personalized network for infusing with personalized prior information J Chang, C Zhang, Y Hui, D Leng, Y Niu, Y Song, K Gai Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 76 | 2023 |
| Xdl: an industrial deep learning framework for high-dimensional sparse data B Jiang, C Deng, H Yi, Z Hu, G Zhou, Y Zheng, S Huang, X Guo, D Wang, ... Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019 | 70 | 2019 |
| Deconfounding duration bias in watch-time prediction for video recommendation R Zhan, C Pei, Q Su, J Wen, X Wang, G Mu, D Zheng, P Jiang, K Gai Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 69 | 2022 |
Han LiAlibaba Inc.Adresse e-mail validée de alibaba-inc.com
