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Xiaoqiang Zhu
Xiaoqiang Zhu
阿里巴巴
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Title
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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
7962018
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
3912019
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
1062018
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
892019
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
742018
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
492019
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
442017
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
322020
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
252018
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
222019
Ribosome Recycling by ABCE1 Links Lysosomal Function and Iron Homeostasis to 3ʹ UTR-Directed Regulation and Nonsense-Mediated Decay
X Zhu, H Zhang, JT Mendell
Cell reports 32 (2), 107895, 2020
142020
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
142012
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction
XR Sheng, L Zhao, G Zhou, X Ding, B Dai, Q Luo, S Yang, J Lv, C Zhang, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
132021
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
112020
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
112020
Neural auction: End-to-end learning of auction mechanisms for e-commerce advertising
X Liu, C Yu, Z Zhang, Z Zheng, Y Rong, H Lv, D Huo, Y Wang, D Chen, ...
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
102021
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
72020
Exploration in Online Advertising Systems with Deep Uncertainty-Aware Learning
C Du, Z Gao, S Yuan, L Gao, Z Li, Y Zeng, X Zhu, J Xu, K Gai, KC Lee
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
52021
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
52019
Real Negatives Matter: Continuous Training with Real Negatives for Delayed Feedback Modeling
S Gu, XR Sheng, Y Fan, G Zhou, X Zhu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
32021
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