| Deep session interest network for click-through rate prediction Y Feng, F Lv, W Shen, M Wang, F Sun, Y Zhu, K Yang arXiv preprint arXiv:1905.06482, 2019 | 295 | 2019 |
| Collaborative filtering with social exposure: A modular approach to social recommendation M Wang, X Zheng, Y Yang, K Zhang Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 72 | 2018 |
| M2GRL: A multi-task multi-view graph representation learning framework for web-scale recommender systems M Wang, Y Lin, G Lin, K Yang, X Wu Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 66 | 2020 |
| Modeling dynamic missingness of implicit feedback for recommendation M Wang, M Gong, X Zheng, K Zhang Advances in neural information processing systems 31, 2018 | 61 | 2018 |
| You never cluster alone Y Shen, Z Shen, M Wang, J Qin, P Torr, L Shao Advances in Neural Information Processing Systems 34, 27734-27746, 2021 | 40 | 2021 |
| Explore: Explainable item-tag co-recommendation X Zheng, M Wang, C Chen, Y Wang, Z Cheng Information Sciences 474, 170-186, 2019 | 28 | 2019 |
| Learning to hash naturally sorts J Yu, Y Shen, M Wang, H Zhang, PHS Torr arXiv preprint arXiv:2201.13322, 2022 | 15 | 2022 |
| Modeling dynamic missingness of implicit feedback for sequential recommendation X Zheng, M Wang, R Xu, J Li, Y Wang IEEE Transactions on Knowledge and Data Engineering 34 (1), 405-418, 2020 | 13 | 2020 |
| Leveraging transitive trust relations to improve cross-domain recommendation G Ma, Y Wang, X Zheng, M Wang IEEE Access 6, 38012-38025, 2018 | 12 | 2018 |
| P2P lending platforms bankruptcy prediction using fuzzy SVM with region information M Wang, X Zheng, M Zhu, Z Hu 2016 IEEE 13th International Conference on e-Business Engineering (ICEBE …, 2016 | 12 | 2016 |
| Human mobility prediction with causal and spatial-constrained multi-task network Z Huang, S Xu, M Wang, H Wu, Y Xu, Y Jin EPJ Data Science 13 (1), 22, 2024 | 4 | 2024 |
| Optimize recommendation system with topic modeling and clustering Q Liang, X Zheng, M Wang, H Chen, P Lu 2017 IEEE 14th International Conference on e-Business Engineering (ICEBE), 15-22, 2017 | 4 | 2017 |
| MP2: A momentum contrast approach for recommendation with pointwise and pairwise learning M Wang, Y Guo, Z Zhao, G Hu, Y Shen, M Gong, P Torr Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 3 | 2022 |
| On the Sparse DAG Structure Learning Based on Adaptive Lasso D Xu, E Gao, W Huang, M Wang, A Song, M Gong arXiv preprint arXiv:2209.02946, 2022 | 2 | 2022 |
| User-sensitive recommendation ensemble with clustered multi-task learning M Wang, X Zheng, K Zhang arXiv preprint arXiv:1804.10795, 2018 | 2 | 2018 |
| PG2Net: Personalized and Group Preferences Guided Network for Next Place Prediction B Wang, H Li, W Wang, M Wang, Y Jin, Y Xu IEEE Transactions on Intelligent Transportation Systems, 2024 | 1 | 2024 |
| Explainable Recommender with Geometric Information Bottleneck H Yan, L Gui, M Wang, K Zhang, Y He IEEE Transactions on Knowledge and Data Engineering, 2024 | 1 | 2024 |
| Spotlight News Driven Quantitative Trading Based on Trajectory Optimization M Yang, M Zhu, Q Liang, X Zheng, MH Wang IJCAI 2023, 2023 | 1 | 2023 |
| Automatic Hypergraph Generation for Enhancing Recommendation with Sparse Optimization Z Lin, Q Yan, W Liu, S Wang, M Wang, Y Tan, C Yang IEEE Transactions on Multimedia, 2023 | | 2023 |
| Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion M Wang, J Yang, Y Guo, Y Shen, M Zhu, Y Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | | 2023 |
xiaolin zhengProfessor, Computer Science, Zhejiang UniversityVerified email at zju.edu.cn
