Xiaoqiang Zhu
Xiaoqiang Zhu
Verified email at alibaba-inc.com
TitleCited byYear
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
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, 5941-5948, 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
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
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
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
Learning similarity metric with SVM
X Zhu, P Gong, Z Zhao, C Zhang
The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012
Image matters: Visually modeling user behaviors using advanced model server
T Ge, L Zhao, G Zhou, K Chen, S Liu, H Yi, Z Hu, B Liu, P Sun, H Liu, P Yi, ...
Proceedings of the 27th ACM International Conference on Information and …, 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, ...
arXiv preprint arXiv:1905.00758, 2019
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction
Q Pi, W Bian, G Zhou, X Zhu, K Gai
arXiv preprint arXiv:1905.09248, 2019
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Z Gao, L Guo, C Ma, X Ma, K Sun, H Xiang, X Zhu, H Li, X Liu
arXiv preprint arXiv:1907.06582, 2019
Res-embedding for Deep Learning Based Click-Through Rate Prediction Modeling
G Zhou, K Wu, W Bian, Z Yang, X Zhu, K Gai
arXiv preprint arXiv:1906.10304, 2019
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, ...
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