| Heterogeneous graph attention network X Wang, H Ji, C Shi, B Wang, Y Ye, P Cui, PS Yu The world wide web conference, 2022-2032, 2019 | 1701 | 2019 |
| A survey on malware detection using data mining techniques Y Ye, T Li, D Adjeroh, SS Iyengar ACM Computing Surveys (CSUR) 50 (3), 1-40, 2017 | 576 | 2017 |
| IMDS: Intelligent malware detection system Y Ye, D Wang, T Li, D Ye Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007 | 284 | 2007 |
| Hindroid: An intelligent android malware detection system based on structured heterogeneous information network S Hou, Y Ye, Y Song, M Abdulhayoglu Proceedings of the 23rd ACM SIGKDD international conference on knowledge …, 2017 | 259 | 2017 |
| An intelligent PE-malware detection system based on association mining Y Ye, D Wang, T Li, D Ye, Q Jiang Journal in computer virology 4, 323-334, 2008 | 257 | 2008 |
| Deep4maldroid: A deep learning framework for android malware detection based on linux kernel system call graphs S Hou, A Saas, L Chen, Y Ye 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 226 | 2016 |
| DL4MD: A deep learning framework for intelligent malware detection W Hardy, L Chen, S Hou, Y Ye, X Li Proceedings of the International Conference on Data Science (ICDATA), 61, 2016 | 222 | 2016 |
| Malicious sequential pattern mining for automatic malware detection Y Fan, Y Ye, L Chen Expert Systems with Applications 52, 16-25, 2016 | 191 | 2016 |
| A survey on heterogeneous graph embedding: methods, techniques, applications and sources X Wang, D Bo, C Shi, S Fan, Y Ye, SY Philip IEEE Transactions on Big Data 9 (2), 415-436, 2022 | 154 | 2022 |
| Automatic malware categorization using cluster ensemble Y Ye, T Li, Y Chen, Q Jiang Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 148 | 2010 |
| Automatic detection of helmet uses for construction safety AHM Rubaiyat, TT Toma, M Kalantari-Khandani, SA Rahman, L Chen, ... 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops …, 2016 | 141 | 2016 |
| CIMDS: adapting postprocessing techniques of associative classification for malware detection Y Ye, T Li, Q Jiang, Y Wang IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2010 | 139 | 2010 |
| Heterogeneous graph structure learning for graph neural networks J Zhao, X Wang, C Shi, B Hu, G Song, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4697-4705, 2021 | 135 | 2021 |
| SBMDS: an interpretable string based malware detection system using SVM ensemble with bagging Y Ye, L Chen, D Wang, T Li, Q Jiang, M Zhao Journal in computer virology 5, 283-293, 2009 | 126 | 2009 |
| Combining file content and file relations for cloud based malware detection Y Ye, T Li, S Zhu, W Zhuang, E Tas, U Gupta, M Abdulhayoglu Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 120 | 2011 |
| DeepAM: a heterogeneous deep learning framework for intelligent malware detection Y Ye, L Chen, S Hou, W Hardy, X Li Knowledge and Information Systems 54, 265-285, 2018 | 119 | 2018 |
| Adversarial machine learning in malware detection: Arms race between evasion attack and defense L Chen, Y Ye, T Bourlai 2017 European intelligence and security informatics conference (EISIC), 99-106, 2017 | 116 | 2017 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye Proceedings of the AAAI conference on artificial intelligence 35 (5), 4115-4122, 2021 | 112 | 2021 |
| Securedroid: Enhancing security of machine learning-based detection against adversarial android malware attacks L Chen, S Hou, Y Ye Proceedings of the 33rd Annual Computer Security Applications Conference …, 2017 | 105 | 2017 |
| Droiddelver: An android malware detection system using deep belief network based on api call blocks S Hou, A Saas, Y Ye, L Chen Web-Age Information Management: WAIM 2016 International Workshops, MWDA …, 2016 | 103 | 2016 |
