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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
280*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
1352020
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
1012018
Attentive recurrent social recommendation
P Sun, L Wu, M Wang
The 41st international ACM SIGIR conference on research & development in …, 2018
962018
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
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
862012
Recommendations based on collaborative filtering by exploiting sequential behaviors
GF Sun, L Wu, Q Liu, C Zhu, EH Chen
Journal of Software 24 (11), 2721-2733, 2013
722013
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 11, 2013
712013
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, 2020
602020
Investment recommendation in p2p lending: A portfolio perspective with risk management
H Zhao, L Wu, Q Liu, Y Ge, E Chen
2014 IEEE international conference on data mining, 1109-1114, 2014
542014
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
522019
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
512019
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
492017
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
472020
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
472018
Modeling users’ preferences and social links in social networking services: a joint-evolving perspective
L Wu, Y Ge, Q Liu, E Chen, B Long, Z Huang
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
462016
Relevance meets coverage: A unified framework to generate diversified recommendations
L Wu, Q Liu, E Chen, NJ Yuan, G Guo, X Xie
ACM Transactions on Intelligent Systems and Technology (TIST) 7 (3), 1-30, 2016
452016
Multiple pairwise ranking with implicit feedback
R Yu, Y Zhang, Y Ye, L Wu, C Wang, Q Liu, E Chen
Proceedings of the 27th ACM International Conference on Information and …, 2018
392018
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
372020
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, 2022
36*2022
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