| Conditional bert contextual augmentation X Wu, S Lv, L Zang, J Han, S Hu Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 359 | 2019 |
| Graph-based reasoning over heterogeneous external knowledge for commonsense question answering S Lv, D Guo, J Xu, D Tang, N Duan, M Gong, L Shou, D Jiang, G Cao, ... Proceedings of the AAAI conference on artificial intelligence 34 (05), 8449-8456, 2020 | 198 | 2020 |
| Jointly embedding the local and global relations of heterogeneous graph for rumor detection C Yuan, Q Ma, W Zhou, J Han, S Hu 2019 IEEE international conference on data mining (ICDM), 796-805, 2019 | 140 | 2019 |
| Multi-hop selector network for multi-turn response selection in retrieval-based chatbots C Yuan, W Zhou, M Li, S Lv, F Zhu, J Han, S Hu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 139 | 2019 |
| Qsynth: A tool for qos-aware automatic service composition W Jiang, C Zhang, Z Huang, M Chen, S Hu, Z Liu 2010 IEEE International Conference on Web Services, 42-49, 2010 | 135 | 2010 |
| " Mask and Infill": Applying Masked Language Model to Sentiment Transfer X Wu, T Zhang, L Zang, J Han, S Hu arXiv preprint arXiv:1908.08039, 2019 | 122 | 2019 |
| Esimcse: Enhanced sample building method for contrastive learning of unsupervised sentence embedding X Wu, C Gao, L Zang, J Han, Z Wang, S Hu arXiv preprint arXiv:2109.04380, 2021 | 94 | 2021 |
| Effective pruning algorithm for QoS-aware service composition Z Huang, W Jiang, S Hu, Z Liu 2009 IEEE Conference on Commerce and Enterprise Computing, 519-522, 2009 | 83 | 2009 |
| Distributed automatic service composition in large-scale systems S Hu, V Muthusamy, G Li, HA Jacobsen Proceedings of the second international conference on Distributed event …, 2008 | 81 | 2008 |
| Towards propagation uncertainty: Edge-enhanced bayesian graph convolutional networks for rumor detection L Wei, D Hu, W Zhou, Z Yue, S Hu arXiv preprint arXiv:2107.11934, 2021 | 77 | 2021 |
| Early detection of fake news by utilizing the credibility of news, publishers, and users based on weakly supervised learning C Yuan, Q Ma, W Zhou, J Han, S Hu arXiv preprint arXiv:2012.04233, 2020 | 77 | 2020 |
| Large-scale longitudinal analysis of soap-based and restful web services W Jiang, D Lee, S Hu 2012 ieee 19th international conference on web services, 218-225, 2012 | 68 | 2012 |
| DyHGCN: A dynamic heterogeneous graph convolutional network to learn users’ dynamic preferences for information diffusion prediction C Yuan, J Li, W Zhou, Y Lu, X Zhang, S Hu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 56 | 2021 |
| A service interoperability assessment model for service composition J Fang, S Hu, Y Han IEEE International Conference onServices Computing, 2004.(SCC 2004 …, 2004 | 56 | 2004 |
| Supervised prototypical contrastive learning for emotion recognition in conversation X Song, L Huang, H Xue, S Hu arXiv preprint arXiv:2210.08713, 2022 | 54 | 2022 |
| Symmetric metric learning with adaptive margin for recommendation M Li, S Zhang, F Zhu, W Qian, L Zang, J Han, S Hu Proceedings of the AAAI conference on artificial intelligence 34 (04), 4634-4641, 2020 | 54 | 2020 |
| Label-specific dual graph neural network for multi-label text classification Q Ma, C Yuan, W Zhou, S Hu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 53 | 2021 |
| Top K query for QoS-aware automatic service composition W Jiang, S Hu, Z Liu IEEE Transactions on Services Computing 7 (4), 681-695, 2013 | 51 | 2013 |
| Continuous query for QoS-aware automatic service composition W Jiang, S Hu, D Lee, S Gong, Z Liu 2012 IEEE 19th International Conference on Web Services, 50-57, 2012 | 50 | 2012 |
| Joint optimization of operational cost and performance interference in cloud data centers X Jin, F Zhang, L Wang, S Hu, B Zhou, Z Liu IEEE Transactions on Cloud Computing 5 (4), 697-711, 2015 | 49 | 2015 |
