| Software vulnerability detection using deep neural networks: a survey G Lin, S Wen, QL Han, J Zhang, Y Xiang Proceedings of the IEEE 108 (10), 1825-1848, 2020 | 445 | 2020 |
| Robust network traffic classification J Zhang, X Chen, Y Xiang, W Zhou, J Wu IEEE/ACM transactions on networking 23 (4), 1257-1270, 2015 | 441 | 2015 |
| Network Traffic Classification Using Correlation Information J Zhang, Y Xiang, Y Wang, W Zhou, Y Guan IEEE Transactions on Parallel and Distributed Systems 24 (1), 104-117, 2013 | 432 | 2013 |
| Detecting and preventing cyber insider threats: A survey L Liu, O De Vel, QL Han, J Zhang, Y Xiang IEEE Communications Surveys & Tutorials 20 (2), 1397-1417, 2018 | 424 | 2018 |
| Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection T Chen, X Li, H Yin, J Zhang Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2018 …, 2018 | 415 | 2018 |
| Data-driven cybersecurity incident prediction: A survey N Sun, J Zhang, P Rimba, S Gao, LY Zhang, Y Xiang IEEE Communications Surveys & Tutorials 21 (2), 1744-1772, 2019 | 349 | 2019 |
| Security and privacy in 6G networks: New areas and new challenges M Wang, T Zhu, T Zhang, J Zhang, S Yu, W Zhou Digital Communications and Networks 6 (3), 281-291, 2020 | 336 | 2020 |
| Android HIV: A study of repackaging malware for evading machine-learning detection X Chen, C Li, D Wang, S Wen, J Zhang, S Nepal, Y Xiang, K Ren IEEE Transactions on Information Forensics and Security 15, 987-1001, 2020 | 314 | 2020 |
| Deep learning based attack detection for cyber-physical system cybersecurity: A survey J Zhang, L Pan, QL Han, C Chen, S Wen, Y Xiang IEEE/CAA Journal of Automatica Sinica 9 (3), 377-391, 2021 | 305 | 2021 |
| A survey of android malware detection with deep neural models J Qiu, J Zhang, W Luo, L Pan, S Nepal, Y Xiang ACM Computing Surveys (CSUR) 53 (6), 1-36, 2020 | 298 | 2020 |
| Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions J Zhang, C Chen, Y Xiang, W Zhou IEEE Transactions on Information Forensics and Security 8 (1), 5-15, 2013 | 239 | 2013 |
| Cross-project transfer representation learning for vulnerable function discovery G Lin, J Zhang, W Luo, L Pan, Y Xiang, O De Vel, P Montague IEEE Transactions on Industrial Informatics 14 (7), 3289-3297, 2018 | 232 | 2018 |
| Statistical features-based real-time detection of drifted twitter spam C Chen, Y Wang, J Zhang, Y Xiang, W Zhou, G Min IEEE Transactions on Information Forensics and Security 12 (4), 914-925, 2016 | 200 | 2016 |
| Twitter spam detection based on deep learning T Wu, S Liu, J Zhang, Y Xiang Proceedings of the australasian computer science week multiconference, 1-8, 2017 | 189 | 2017 |
| 6 million spam tweets: A large ground truth for timely Twitter spam detection C Chen, J Zhang, X Chen, Y Xiang, W Zhou 2015 IEEE international conference on communications (ICC), 7065-7070, 2015 | 169 | 2015 |
| POSTER: Vulnerability discovery with function representation learning from unlabeled projects G Lin, J Zhang, W Luo, L Pan, Y Xiang Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 168 | 2017 |
| A performance evaluation of machine learning-based streaming spam tweets detection C Chen, J Zhang, Y Xie, Y Xiang, W Zhou, MM Hassan, A AlElaiwi, ... IEEE Transactions on Computational social systems 2 (3), 65-76, 2015 | 162 | 2015 |
| An effective network traffic classification method with unknown flow detection J Zhang, C Chen, Y Xiang, W Zhou, AV Vasilakos IEEE transactions on network and service management 10 (2), 133-147, 2013 | 153 | 2013 |
| Addressing the class imbalance problem in twitter spam detection using ensemble learning S Liu, Y Wang, J Zhang, C Chen, Y Xiang Computers & Security 69, 35-49, 2017 | 152 | 2017 |
| Modeling Propagation Dynamics of Social Network Worms S Wen, W Zhou, J Zhang, Y Xiang, W Jia IEEE, 2012 | 138 | 2012 |
