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Wen-Ji Zhou
Wen-Ji Zhou
Alibaba Group
Verified email at alibaba-inc.com
Title
Cited by
Cited by
Year
Mixture of GANs for Clustering.
Y Yu, WJ Zhou
IJCAI, 3047-3053, 2018
582018
AliExpress Learning-To-Rank: Maximizing online model performance without going online
G Huzhang, ZJ Pang, Y Gao, Y Liu, W Shen, WJ Zhou, Q Lin, Q Da, ...
IEEE Transactions on Knowledge and Data Engineering 35 (2), 1214-1226, 2021
222021
Binary Linear Compression for Multi-label Classification.
WJ Zhou, Y Yu, ML Zhang
IJCAI, 3546-3552, 2017
222017
Sparse attentive memory network for click-through rate prediction with long sequences
Q Lin, WJ Zhou, Y Wang, Q Da, QG Chen, B Wang
Proceedings of the 31st ACM international conference on information ¡K, 2022
92022
Multi-domain deep learning from a multi-view perspective for cross-border e-commerce search
Y Zhang, Y Feng, WJ Zhou, Y Ye, M Tan, R Xiao, H Tang, J Ding, J Yu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9387-9395, 2024
62024
Imitate TheWorld: A Search Engine Simulation Platform
Y Gao, G Huzhang, W Shen, Y Liu, WJ Zhou, Q Da, Y Yu
arXiv preprint arXiv:2107.07693, 2021
42021
Reinforcement learning experience reuse with policy residual representation
WJ Zhou, Y Yu, Y Chen, K Guan, T Lv, C Fan, ZH Zhou
arXiv preprint arXiv:1905.13719, 2019
32019
Hi-gen: Generative retrieval for large-scale personalized e-commerce search
Y Wu, Y Feng, J Wang, W Zhou, Y Ye, R Xiao, J Xiao
arXiv preprint arXiv:2404.15675, 2024
22024
Temporal-adaptive hierarchical reinforcement learning
WJ Zhou, Y Yu
arXiv preprint arXiv:2002.02080, 2020
22020
Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce
G Huzhang, ZJ Pang, Y Gao, WJ Zhou, Q Da, A Zeng, Y Yu
CoRR, 2020
12020
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling
WJ Zhou, Y Zheng, Y Feng, Y Ye, R Xiao, L Chen, X Yang, J Xiao
IEEE Transactions on Knowledge and Data Engineering, 2024
2024
Iterative Memory Network for Long Sequential User Behavior Modeling in Recommender Systems
Q Lin, WJ Zhou, Y Wang, Q Da, QG Chen, B Wang
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Articles 1–12