A novel neural source code representation based on abstract syntax tree J Zhang, X Wang, H Zhang, H Sun, K Wang, X Liu 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, 2019 | 777 | 2019 |
Aspect-level sentiment analysis via convolution over dependency tree K Sun, R Zhang, S Mensah, Y Mao, X Liu Proceedings of the 2019 conference on empirical methods in natural language …, 2019 | 477 | 2019 |
Regionknn: A scalable hybrid collaborative filtering algorithm for personalized web service recommendation X Chen, X Liu, Z Huang, H Sun 2010 IEEE international conference on web services, 9-16, 2010 | 347 | 2010 |
Personalized QoS-aware web service recommendation and visualization X Chen, Z Zheng, X Liu, Z Huang, H Sun IEEE Transactions on Services Computing 6 (1), 35-47, 2011 | 276 | 2011 |
Retrieval-based neural source code summarization J Zhang, X Wang, H Zhang, H Sun, X Liu Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 256 | 2020 |
Temporal QoS-aware web service recommendation via non-negative tensor factorization W Zhang, H Sun, X Liu, X Guo Proceedings of the 23rd international conference on World wide web, 585-596, 2014 | 163 | 2014 |
Entity-level sentiment analysis of issue comments J Ding, H Sun, X Wang, X Liu Proceedings of the 3rd International Workshop on Emotion Awareness in …, 2018 | 122 | 2018 |
Multi-attributed heterogeneous graph convolutional network for bot detection J Zhao, X Liu, Q Yan, B Li, M Shao, H Peng Information Sciences 537, 380-393, 2020 | 86 | 2020 |
Cyber threat intelligence modeling based on heterogeneous graph convolutional network J Zhao, Q Yan, X Liu, B Li, G Zuo 23rd international symposium on research in attacks, intrusions and defenses …, 2020 | 78 | 2020 |
Improving fault localization and program repair with deep semantic features and transferred knowledge X Meng, X Wang, H Zhang, H Sun, X Liu Proceedings of the 44th International Conference on Software Engineering …, 2022 | 67 | 2022 |
A web service recommendation approach based on QoS prediction using fuzzy clustering M Zhang, X Liu, R Zhang, H Sun 2012 IEEE ninth international conference on services computing, 138-145, 2012 | 67 | 2012 |
Relation extraction with convolutional network over learnable syntax-transport graph K Sun, R Zhang, Y Mao, S Mensah, X Liu Proceedings of the AAAI conference on artificial intelligence 34 (05), 8928-8935, 2020 | 66 | 2020 |
Unsupervised sentence representation via contrastive learning with mixing negatives Y Zhang, R Zhang, S Mensah, X Liu, Y Mao Proceedings of the AAAI conference on artificial intelligence 36 (10), 11730 …, 2022 | 62 | 2022 |
A hybrid approach to code reviewer recommendation with collaborative filtering Z Xia, H Sun, J Jiang, X Wang, X Liu 2017 6th International Workshop on Software Mining (SoftwareMining), 24-31, 2017 | 60 | 2017 |
DarknetSec: A novel self-attentive deep learning method for darknet traffic classification and application identification J Lan, X Liu, B Li, Y Li, T Geng Computers & Security 116, 102663, 2022 | 54 | 2022 |
Progressive multi-task learning with controlled information flow for joint entity and relation extraction K Sun, R Zhang, S Mensah, Y Mao, X Liu Proceedings of the AAAI conference on artificial intelligence 35 (15), 13851 …, 2021 | 49 | 2021 |
Exposure to diisodecyl phthalate exacerbated Th2 and Th17-mediated asthma through aggravating oxidative stress and the activation of p38 MAPK W Qin, T Deng, H Cui, Q Zhang, X Liu, X Yang, M Chen Food and Chemical Toxicology 114, 78-87, 2018 | 47 | 2018 |
Dynamic evolution mechanism for trustworthy software based on service composition J Zeng, HL Sun, XD Liu, T Deng, J Huai Journal of Software 21 (2), 261-276, 2010 | 43 | 2010 |
Recurrent interaction network for jointly extracting entities and classifying relations K Sun, R Zhang, S Mensah, Y Mao, X Liu arXiv preprint arXiv:2005.00162, 2020 | 40 | 2020 |
Deep contrastive one-class time series anomaly detection R Wang, C Liu, X Mou, K Gao, X Guo, P Liu, T Wo, X Liu Proceedings of the 2023 SIAM International Conference on Data Mining (SDM …, 2023 | 39 | 2023 |