| 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 | 1997 | 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 | 312 | 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 | 218 | 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 | 146 | 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 | 89 | 2019 |
| Spectral-based graph convolutional network for directed graphs Y Ma, J Hao, Y Yang, H Li, J Jin, G Chen arXiv preprint arXiv:1907.08990, 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 | 82 | 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 | 64 | 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 | 48 | 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 | 29 | 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 | 16 | 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 | 13 | 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 | 6 | 2019 |
| Learning to advertise with adaptive exposure via constrained two-level reinforcement learning W Wang, J Jin, J Hao, C Chen, C Yu, W Zhang, J Wang, Y Wang, H Li, ... arXiv preprint arXiv:1809.03149, 2018 | 5 | 2018 |
| 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 | 4 | 2020 |
| Cross-view semantic alignment for livestreaming product recognition W Yang, Y Chen, Y Li, Y Cheng, X Liu, Q Chen, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Cross-Domain Product Representation Learning for Rich-Content E-Commerce X Bai, Y Li, Y Cheng, W Yang, Q Chen, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| 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 |
| A Multi-modal Modeling Framework for Cold-start Short-video Recommendation G Chen, R Sun, Y Jiang, J Cao, Q Zhang, J Lin, H Li, K Gai, X Zhang Proceedings of the 18th ACM Conference on Recommender Systems, 391-400, 2024 | 1 | 2024 |
| Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning J Tang, S Dai, Z Sun, X Chen, J Xu, W Yu, L Hu, P Jiang, H Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
Kun GaiSenior Director & Researcher, Alibaba GroupVerified email at taobao.com
