Syncobert: Syntax-guided multi-modal contrastive pre-training for code representation X Wang, Y Wang, F Mi, P Zhou, Y Wan, X Liu, L Li, H Wu, J Liu, X Jiang arXiv preprint arXiv:2108.04556, 2021 | 113 | 2021 |
Pangu-coder: Program synthesis with function-level language modeling F Christopoulou, G Lampouras, M Gritta, G Zhang, Y Guo, Z Li, Q Zhang, ... arXiv preprint arXiv:2207.11280, 2022 | 64 | 2022 |
Mashup-oriented API recommendation via random walk on knowledge graph X Wang, H Wu, CH Hsu IEEE Access 7, 7651-7662, 2018 | 59 | 2018 |
Compilable Neural Code Generation with Compiler Feedback X Wang, Y Wang, Y Wan, F Mi, Y Li, P Zhou, J Liu, H Wu, X Jiang, Q Liu ACL 2022, 2022 | 52 | 2022 |
A novel knowledge graph embedding based API recommendation method for Mashup development X Wang, X Liu, J Liu, X Chen, H Wu World Wide Web Journal 24 (3), 869-894, 2021 | 49 | 2021 |
Detecting and explaining self-admitted technical debts with attention-based neural networks X Wang, J Liu, L Li, X Chen, X Liu, H Wu 2020 Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 39 | 2020 |
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training X Wang, Y Wang, Y Wan, J Wang, P Zhou, L Li, H Wu, J Liu NAACL 2022, 2022 | 32 | 2022 |
Relational graph neural network with neighbor interactions for bundle recommendation service X Wang, X Liu, J Liu, H Wu 2021 IEEE International Conference on Web Services (ICWS), 167-172, 2021 | 26 | 2021 |
A Novel Dual-Graph Convolutional Network based Web Service Classification Framework X Wang, J Liu, X Liu, X Cui, H Wu 2020 IEEE International Conference on Web Services (ICWS), 281-288, 2020 | 24 | 2020 |
Graph4Web: A relation-aware graph attention network for web service classification K Zhao, J Liu, Z Xu, X Liu, L Xue, Z Xie, Y Zhou, X Wang Journal of Systems and Software 190, 111324, 2022 | 19 | 2022 |
Exploiting gated graph neural network for detecting and explaining self-admitted technical debts J Yu, K Zhao, J Liu, X Liu, Z Xu, X Wang Journal of Systems and Software 187, 111219, 2022 | 17 | 2022 |
Time-aware user modeling with check-in time prediction for next POI recommendation X Wang, X Liu, L Li, X Chen, J Liu, H Wu 2021 IEEE International Conference on Web Services (ICWS), 125-134, 2021 | 15 | 2021 |
Keyword-driven service recommendation via deep reinforced steiner tree search H Chen, H Wu, J Li, X Wang, L Zhang IEEE Transactions on Industrial Informatics 19 (3), 2930-2941, 2022 | 12 | 2022 |
ServiceBERT: A Pre-trained Model for Web Service Tagging and Recommendation X Wang, P Zhou, Y Wang, X Liu, J Liu, H Wu 2021 International Conference on Service-Oriented Computing (ICSOC), 464-478, 2021 | 12 | 2021 |
Web API recommendation with features ensemble and learning-to-rank H Zhao, J Wang, Q Zhou, X Wang, H Wu Big Data: 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28 …, 2019 | 12 | 2019 |
Modeling and predicting user preferences with multiple item attributes for sequential recommendations L Xu, J Zeng, W Peng, H Wu, K Yue, H Ding, L Zhang, X Wang Knowledge-Based Systems 260, 110174, 2023 | 11 | 2023 |
Clsebert: Contrastive learning for syntax enhanced code pre-trained model X Wang, Y Wang, P Zhou, M Xiao, Y Wang, L Li, X Liu, H Wu, J Liu, ... arXiv preprint arXiv:2108.04556, 2021 | 10 | 2021 |
Toward effective personalized service QoS prediction from the perspective of multi-task learning H Lian, J Li, H Wu, Y Zhao, L Zhang, X Wang IEEE Transactions on Network and Service Management 20 (3), 2587-2597, 2023 | 7 | 2023 |
Test-Driven Multi-Task Learning with Functionally Equivalent Code Transformation for Neural Code Generation X Wang, X Liu, P Zhou, Q Liu, J Liu, H Wu, X Cui Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022 | 7 | 2022 |
A Spatial and Sequential Combined Method for Web Service Classification X Wang, J Liu, X Liu, X Cui, H Wu Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2020 | 7 | 2020 |