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Le Wu
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A neural influence diffusion model for social recommendation
L Wu, P Sun, Y Fu, R Hong, X Wang, M Wang
Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019
661*2019
Revisiting graph based collaborative filtering: A linear residual graph convolutional network approach
L Chen, L Wu, R Hong, K Zhang, M Wang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 27-34, 2020
5802020
A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
L Wu, X He, X Wang, K Zhang, M Wang
IEEE Transactions on Knowledge and Data Engineering 35 (5), 4425-4445, 2022
3092022
Diffnet++: A neural influence and interest diffusion network for social recommendation
L Wu, J Li, P Sun, R Hong, Y Ge, M Wang
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4753-4766, 2020
3072020
Graph convolutional networks with markov random field reasoning for social spammer detection
Y Wu, D Lian, Y Xu, L Wu, E Chen
Proceedings of the AAAI conference on artificial intelligence 34 (01), 1054-1061, 2020
2032020
A reinforcement learning framework for explainable recommendation
X Wang, Y Chen, J Yang, L Wu, Z Wu, X Xie
2018 IEEE international conference on data mining (ICDM), 587-596, 2018
1862018
Learning fair representations for recommendation: A graph-based perspective
L Wu, L Chen, P Shao, R Hong, X Wang, M Wang
Proceedings of the Web Conference 2021, 2198-2208, 2021
1352021
Attentive recurrent social recommendation
P Sun, L Wu, M Wang
The 41st international ACM SIGIR conference on research & development in …, 2018
1302018
Modeling the evolution of users’ preferences and social links in social networking services
L Wu, Y Ge, Q Liu, E Chen, R Hong, J Du, M Wang
IEEE Transactions on Knowledge and Data Engineering 29 (6), 1240-1253, 2017
1242017
A review-aware graph contrastive learning framework for recommendation
J Shuai, K Zhang, L Wu, P Sun, R Hong, M Wang, Y Li
Proceedings of the 45th international ACM SIGIR conference on research and …, 2022
1122022
Collaborative neural social recommendation
L Wu, P Sun, R Hong, Y Ge, M Wang
IEEE transactions on systems, man, and cybernetics: systems 51 (1), 464-476, 2018
1112018
Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students
Z Huang, Q Liu, Y Chen, L Wu, K Xiao, E Chen, H Ma, G Hu
ACM Transactions on Information Systems (TOIS) 38 (2), 1-33, 2020
1072020
Multi-level recommendation reasoning over knowledge graphs with reinforcement learning
X Wang, K Liu, D Wang, L Wu, Y Fu, X Xie
Proceedings of the ACM Web Conference 2022, 2098-2108, 2022
1062022
Joint item recommendation and attribute inference: An adaptive graph convolutional network approach
L Wu, Y Yang, K Zhang, R Hong, Y Fu, M Wang
Proceedings of the 43rd International ACM SIGIR conference on research and …, 2020
982020
Explainable fashion recommendation: A semantic attribute region guided approach
M Hou, L Wu, E Chen, Z Li, VW Zheng, Q Liu
arXiv preprint arXiv:1905.12862, 2019
952019
Tracking knowledge proficiency of students with educational priors
Y Chen, Q Liu, Z Huang, L Wu, E Chen, R Wu, Y Su, G Hu
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
952017
Recommendations based on collaborative filtering by exploiting sequential behaviors
孙光福, 吴乐, 刘淇, 朱琛, 陈恩红
Journal of Software 24 (11), 2721-2733, 2013
922013
A hierarchical attention model for social contextual image recommendation
L Wu, L Chen, R Hong, Y Fu, X Xie, M Wang
IEEE Transactions on Knowledge and Data Engineering 32 (10), 1854-1867, 2019
912019
Leveraging tagging for neighborhood-aware probabilistic matrix factorization
L Wu, E Chen, Q Liu, L Xu, T Bao, L Zhang
Proceedings of the 21st ACM international conference on Information and …, 2012
902012
Enhanced graph learning for collaborative filtering via mutual information maximization
Y Yang, L Wu, R Hong, K Zhang, M Wang
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
882021
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