Lei Zheng
Lei Zheng
Pinterest Inc.
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Cited by
Cited by
Joint deep modeling of users and items using reviews for recommendation
L Zheng, V Noroozi, PS Yu
Proceedings of the tenth ACM international conference on web search and data …, 2017
TI-CNN: Convolutional neural networks for fake news detection
Y Yang, L Zheng, J Zhang, Q Cui, Z Li, PS Yu
arXiv preprint arXiv:1806.00749, 2018
Spectral collaborative filtering
L Zheng, CT Lu, F Jiang, J Zhang, PS Yu
Proceedings of the 12th ACM conference on recommender systems, 311-319, 2018
Deepmood: modeling mobile phone typing dynamics for mood detection
B Cao, L Zheng, C Zhang, PS Yu, A Piscitello, J Zulueta, O Ajilore, K Ryan, ...
Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017
Continuous-time sequential recommendation with temporal graph collaborative transformer
Z Fan, Z Liu, J Zhang, Y Xiong, L Zheng, PS Yu
Proceedings of the 30th ACM international conference on information …, 2021
Distribution distance minimization for unsupervised user identity linkage
C Li, S Wang, PS Yu, L Zheng, X Zhang, Z Li, Y Liang
Proceedings of the 27th ACM International Conference on Information and …, 2018
Adaptive deep modeling of users and items using side information for recommendation
J Han, L Zheng, Y Xu, B Zhang, F Zhuang, SY Philip, W Zuo
IEEE transactions on neural networks and learning systems 31 (3), 737-748, 2019
Mars: Memory attention-aware recommender system
L Zheng, CT Lu, L He, S Xie, H He, C Li, V Noroozi, B Dong, SY Philip
2019 IEEE International Conference on Data Science and Advanced Analytics …, 2019
Deep and broad learning on content-aware POI recommendation
F Wang, Y Qu, L Zheng, CT Lu, SY Philip
2017 IEEE 3rd International Conference on Collaboration and Internet …, 2017
Deep latent factor model with hierarchical similarity measure for recommender systems
J Han, L Zheng, H Huang, Y Xu, SY Philip, W Zuo
Information Sciences 503, 521-532, 2019
Sequential recommendation via stochastic self-attention
Z Fan, Z Liu, Y Wang, A Wang, Z Nazari, L Zheng, H Peng, PS Yu
Proceedings of the ACM Web Conference 2022, 2036-2047, 2022
Multi-view factorization machines for mobile app recommendation based on hierarchical attention
T Liang, L Zheng, L Chen, Y Wan, SY Philip, J Wu
Knowledge-Based Systems 187, 104821, 2020
Modeling sequences as distributions with uncertainty for sequential recommendation
Z Fan, Z Liu, S Wang, L Zheng, PS Yu
Proceedings of the 30th ACM International Conference on Information …, 2021
JSCN: Joint spectral convolutional network for cross domain recommendation
Z Liu, L Zheng, J Zhang, J Han, SY Philip
2019 IEEE international conference on big data (big data), 850-859, 2019
A survey and critique of deep learning on recommender systems
L Zheng
no. September, 31, 2016
Seven: deep semi-supervised verification networks
V Noroozi, L Zheng, S Bahaadini, S Xie, PS Yu
Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017
An attention-augmented deep architecture for hard drive status monitoring in large-scale storage systems
J Wang, W Bao, L Zheng, X Zhu, PS Yu
ACM Transactions on Storage (TOS) 15 (3), 1-26, 2019
Gated spectral units: Modeling co-evolving patterns for sequential recommendation
L Zheng, Z Fan, CT Lu, J Zhang, PS Yu
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
Semi-supervised deep representation learning for multi-view problems
V Noroozi, S Bahaadini, L Zheng, S Xie, W Shao, SY Philip
2018 IEEE international conference on big data (Big Data), 56-64, 2018
Hierarchical collaborative embedding for context-aware recommendations
L Zheng, B Cao, V Noroozi, SY Philip, N Ma
2017 IEEE International Conference on Big Data (Big Data), 867-876, 2017
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