| 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 | 325 | 2013 |
| Robust network traffic classification J Zhang, X Chen, Y Xiang, W Zhou, J Wu IEEE/ACM transactions on networking 23 (4), 1257-1270, 2015 | 257 | 2015 |
| 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 | 164 | 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 | 156 | 2018 |
| Call attention to rumors: Deep attention based recurrent neural networks for early rumor detection T Chen, X Li, H Yin, J Zhang Pacific-Asia conference on knowledge discovery and data mining, 40-52, 2018 | 116 | 2018 |
| 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 | 108 | 2013 |
| 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 | 104 | 2015 |
| Modeling Propagation Dynamics of Social Network Worms S Wen, W Zhou, J Zhang, Y Xiang, W Jia IEEE, 2012 | 104 | 2012 |
| Internet traffic classification using constrained clustering Y Wang, Y Xiang, J Zhang, W Zhou, G Wei, LT Yang IEEE transactions on parallel and distributed systems 25 (11), 2932-2943, 2013 | 92 | 2013 |
| 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 | 91 | 2016 |
| 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 | 87 | 2019 |
| Secure buyer–seller watermarking protocol J Zhang, W Kou, K Fan IEE Proceedings-Information Security 153 (1), 15-18, 2006 | 85 | 2006 |
| 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 | 82 | 2015 |
| 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 | 76 | 2017 |
| Effective watermarking scheme in the encrypted domain for buyer–seller watermarking protocol B Zhao, W Kou, H Li, L Dang, J Zhang Information Sciences 180 (23), 4672-4684, 2010 | 70 | 2010 |
| Modeling and analysis on the propagation dynamics of modern email malware S Wen, W Zhou, J Zhang, Y Xiang, W Zhou, W Jia, CC Zou IEEE transactions on dependable and secure computing 11 (4), 361-374, 2013 | 61 | 2013 |
| Unsupervised traffic classification using flow statistical properties and IP packet payload J Zhang, Y Xiang, W Zhou, Y Wang Journal of Computer and System Sciences 79 (5), 573-585, 2013 | 61 | 2013 |
| 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 | 60 | 2020 |
| 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 | 57 | 2018 |
| 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 | 56 | 2017 |
Yang XiangIEEE Fellow, Professfor, Swinburne University of Technology在 swin.edu.au 的电子邮件经过验证
