| 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 | 696* | 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 | 627 | 2020 |
| 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 | 375 | 2022 |
| 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 | 333 | 2020 |
| 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 | 220 | 2020 |
| 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 | 190 | 2018 |
| 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 | 147 | 2021 |
| Attentive recurrent social recommendation P Sun, L Wu, M Wang The 41st international ACM SIGIR conference on research & development in …, 2018 | 134 | 2018 |
| 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 | 129 | 2022 |
| 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 | 129 | 2017 |
| 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 | 116 | 2018 |
| 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 | 115 | 2020 |
| 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 | 113 | 2022 |
| 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 | 107 | 2020 |
| 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 | 101 | 2019 |
| 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 | 100 | 2017 |
| 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 | 98 | 2021 |
| 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 | 91 | 2019 |
| 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 | 90 | 2020 |
| 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 | 89 | 2012 |
Meng Wang, IEEE Fellow, IAPR FellowHefei University of TechnologyEmail yang diverifikasi di hfut.edu.cn