Han Li
Han Li
Alibaba Inc.
Adresse e-mail validée de alibaba-inc.com
Titre
Citée par
Citée par
Année
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
5042018
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
942018
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
812018
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
512017
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
372014
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
322017
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
arXiv preprint arXiv:1902.07565, 2019
172019
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
92020
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
22020
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
22013
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
12020
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
12019
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
12019
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
2020
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
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–16