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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
605*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
5002020
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
2652020
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
2412022
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
1752020
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
1752018
Attentive recurrent social recommendation
P Sun, L Wu, M Wang
The 41st international ACM SIGIR conference on research & development in …, 2018
1272018
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
1182021
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
1182017
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
1062018
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
1012020
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
922017
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
912013
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
902020
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
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
882019
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
872019
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
862020
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
842022
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
822022
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