| 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 | 992 | 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 | 268 | 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 | 194 | 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 | 132 | 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 | 103 | 2021 |
| 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 | 53 | 2022 |
| 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 | 52 | 2019 |
| 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 | 52 | 2018 |
| 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 | 33 | 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 | 29 | 2017 |
| 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 | 28 | 2021 |
| 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 | 27 | 2019 |
| 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 | 24 | 2020 |
| 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 | 24 | 2019 |
| A survey and critique of deep learning on recommender systems L Zheng no. September, 31, 2016 | 19 | 2016 |
| 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 | 18 | 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 | 18 | 2018 |
| 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 | 17 | 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 | 16 | 2019 |
| Deep distribution network: Addressing the data sparsity issue for top-n recommendation L Zheng, C Li, CT Lu, J Zhang, PS Yu Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 14 | 2019 |
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoE-mailová adresa ověřena na: cs.uic.edu
