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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
575*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
4642020
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
2472020
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
2142022
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
1702018
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
1592020
Attentive recurrent social recommendation
P Sun, L Wu, M Wang
The 41st international ACM SIGIR conference on research & development in …, 2018
1252018
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
1162017
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
1042021
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
1012018
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
912017
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
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
892020
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
892013
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
862019
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
852019
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
822020
Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation
P Sun, L Wu, K Zhang, Y Fu, R Hong, M Wang
Proceedings of The Web Conference 2020, 837-847, 2020
822020
基于时序行为的协同过滤推荐算法
孙光福, 吴乐, 刘淇, 朱琛, 陈恩红
软件学报 24 (11), 2721-2733, 2013
822013
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
762022
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