| GraphGAN: Graph Representation Learning with Generative Adversarial Nets H Wang, J Wang, J Wang, M Zhao, W Zhang, F Zhang, X Xie, M Guo The 32nd AAAI Conference on Artificial Intelligence, 2508-2515, 2018 | 271 | 2018 |
| DKN: Deep Knowledge-aware Network for News Recommendation H Wang, F Zhang, X Xie, M Guo Proceedings of the 2018 World Wide Web Conference, 1835-1844, 2018 | 227 | 2018 |
| RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo Proceedings of the 27th ACM International Conference on Information and …, 2018 | 171 | 2018 |
| SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction H Wang, F Zhang, M Hou, X Xie, M Guo, Q Liu Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018 | 137 | 2018 |
| Knowledge Graph Convolutional Networks for Recommender System H Wang, M Zhao, X Xie, W Li, M Guo Proceedings of the 2019 World Wide Web Conference, 3307-3313, 2019 | 85 | 2019 |
| Multi-task Feature Learning for Knowledge Graph Enhanced Recommendation H Wang, F Zhang, M Zhao, W Li, X Xie, M Guo Proceedings of the 2019 World Wide Web Conference, 2000-2010, 2019 | 77 | 2019 |
| Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems H Wang, F Zhang, M Zhang, J Leskovec, M Zhao, W Li, Z Wang Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 52 | 2019 |
| MeLoDy: A Long-term Dynamic Quality-aware Incentive Mechanism for Crowdsourcing H Wang, S Guo, J Cao, M Guo IEEE Transactions on Parallel and Distributed Systems 29 (4), 901-914, 2017 | 49 | 2017 |
| Lipschitz Generative Adversarial Nets Z Zhou, J Liang, Y Song, L Yu, H Wang, W Zhang, Y Yu, Z Zhang Proceedings of the 36th International Conference on Machine Learning, 2019 | 38* | 2019 |
| Collaborative Filtering-based Recommendation of Online Social Voting X Yang, C Liang, M Zhao, H Wang, H Ding, Y Liu, Y Li, J Zhang IEEE Transactions on Computational Social Systems 4 (1), 1-13, 2017 | 34 | 2017 |
| AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods Z Zhou, Q Zhang, G Lu, H Wang, W Zhang, Y Yu Proceedings of the 7th International Conference on Learning Representations, 2018 | 26 | 2018 |
| Exploring High-order User Preference on the Knowledge Graph for Recommender Systems H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo ACM Transactions on Information Systems (TOIS) 37 (3), 1-26, 2019 | 19 | 2019 |
| Practical Lessons for Job Recommendations in the Cold-start Scenario J Lian, F Zhang, M Hou, H Wang, X Xie, G Sun Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 18 | 2017 |
| Joint Topic-semantic-aware Social Recommendation for Online Voting H Wang, J Wang, M Zhao, J Cao, M Guo Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 15 | 2017 |
| Towards Scalable and Reliable In-memory Storage System: A Case Study with Redis S Chen, X Tang, H Wang, H Zhao, M Guo 2016 IEEE Trustcom/BigDataSE/ISPA, 1660-1667, 2016 | 11 | 2016 |
| Unifying Graph Convolutional Neural Networks and Label Propagation H Wang, J Leskovec arXiv preprint arXiv:2002.06755, 2020 | 10 | 2020 |
| Distance Encoding--Design Provably More Powerful GNNs for Structural Representation Learning P Li, Y Wang, H Wang, J Leskovec arXiv preprint arXiv:2009.00142, 2020 | 6 | 2020 |
| Entity context and relational paths for knowledge graph completion H Wang, H Ren, J Leskovec arXiv preprint arXiv:2002.06757, 2020 | 6 | 2020 |
| Visual-texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks C Li, J Wang, H Wang, M Zhao, W Li, X Deng IEEE Transactions on Multimedia 22 (6), 1634-1646, 2019 | 5 | 2019 |
| Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks C Xu, W Huang, H Wang, G Wang, TY Liu The 33rd AAAI Conference on Artificial Intelligence, 5525-5532, 2019 | 4 | 2019 |
Minyi GuoIEEE Fellow, Chair Professor, Shanghai Jiao Tong UniversityVerified email at cs.sjtu.edu.cn
