| 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 | 1430 | 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 | 239 | 2018 |
| 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 | 176 | 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 | 115 | 2017 |
| 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 | 73 | 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 | 72 | 2017 |
| Learning optimal tree models under beam search J Zhuo, Z Xu, W Dai, H Zhu, H Li, J Xu, K Gai International Conference on Machine Learning, 11650-11659, 2020 | 53 | 2020 |
| Hierarchical interactions model for predicting Mild Cognitive Impairment (MCI) to Alzheimer's Disease (AD) conversion H Li, Y Liu, P Gong, C Zhang, J Ye, ... PloS one 9 (1), e82450, 2014 | 43 | 2014 |
| Dynamic knapsack optimization towards efficient multi-channel sequential advertising X Hao, Z Peng, Y Ma, G Wang, J Jin, J Hao, S Chen, R Bai, M Xie, M Xu, ... International Conference on Machine Learning, 4060-4070, 2020 | 14 | 2020 |
| Learning adaptive display exposure for real-time advertising W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, X Hao, Y Wang, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 11 | 2019 |
| A deep prediction network for understanding advertiser intent and satisfaction L Guo, R Lu, H Zhang, J Jin, Z Zheng, F Wu, J Li, H Xu, H Li, W Lu, J Xu, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 8 | 2020 |
| Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds D Chen, J Jin, W Zhang, F Pan, L Niu, C Yu, J Wang, H Li, J Xu, K Gai Proceedings of the 28th ACM International Conference on Information and …, 2019 | 5 | 2019 |
| Learning to infer user hidden states for online sequential advertising Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, H Xu, M Xu, C Yu, ... Proceedings of the 29th ACM International Conference on Information …, 2020 | 3 | 2020 |
| Efficient blind separation of reflection layers with nonparametric transformations H Li, K Gai, P Gong, C Zhang 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 2 | 2013 |
| Learning to accelerate heuristic searching for large-scale maximum weighted b-matching problems in online advertising X Hao, J Jin, J Hao, J Li, W Wang, Y Ma, Z Zheng, H Li, J Xu, K Gai arXiv preprint arXiv:2005.04355, 2020 | | 2020 |
| Sequential Advertising Agent with Interpretable User Hidden Intents Z Peng, J Jin, L Luo, Y Yang, R Luo, J Wang, W Zhang, M Xu, C Yu, T Luo, ... Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | | 2020 |
Kun GaiSenior Director & Researcher, Alibaba GroupVerified email at taobao.com
