Xiaoqiang Zhu
Xiaoqiang Zhu
阿里巴巴
Verified email at alibaba-inc.com
Title
Cited by
Cited by
Year
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
3812018
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
1582019
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
402018
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
342018
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
292019
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
292017
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
222019
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
162018
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
132012
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
62019
A deep recurrent survival model for unbiased ranking
J Jin, Y Fang, W Zhang, K Ren, G Zhou, J Xu, Y Yu, J Wang, X Zhu, K Gai
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
42020
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
32020
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
Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019
32019
COLD: Towards the Next Generation of Pre-Ranking System
Z Wang, L Zhao, B Jiang, G Zhou, X Zhu, K Gai
arXiv preprint arXiv:2007.16122, 2020
12020
Res-embedding for deep learning based click-through rate prediction modeling
G Zhou, K Wu, W Bian, X Zhu, K Gai
Proceedings of the 1st International Workshop on Deep Learning Practice for …, 2019
12019
Truncation-Free Matching System for Display Advertising at Alibaba
J Li, J Liu, S Li, Y Xu, R Cao, Q Li, B Jiang, G Wang, H Zhu, K Gai, X Zhu
arXiv preprint arXiv:2102.09283, 2021
2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
XR Sheng, L Zhao, G Zhou, X Ding, Q Luo, S Yang, J Lv, C Zhang, X Zhu
arXiv preprint arXiv:2101.11427, 2021
2021
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
C Du, Y Zeng, Z Gao, S Yuan, L Gao, Z Li, X Zhu, J Xu, K Gai
arXiv preprint arXiv:2012.02298, 2020
2020
CAN: Revisiting Feature Co-Action for Click-Through Rate Prediction
G Zhou, W Bian, K Wu, L Ren, Q Pi, Y Zhang, C Xiao, XR Sheng, N Mou, ...
arXiv preprint arXiv:2011.05625, 2020
2020
DCAF: A Dynamic Computation Allocation Framework for Online Serving System
B Jiang, P Zhang, R Chen, X Luo, Y Yang, G Wang, G Zhou, X Zhu, K Gai
arXiv preprint arXiv:2006.09684, 2020
2020
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