| 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 | 143 | 2017 |
| An ensemble oversampling model for class imbalance problem in software defect prediction S Huda, K Liu, M Abdelrazek, A Ibrahim, S Alyahya, H Al-Dossari, ... IEEE access 6, 24184-24195, 2018 | 110 | 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 | 104 | 2017 |
| Attacks and defences on intelligent connected vehicles: A survey M Dibaei, X Zheng, K Jiang, R Abbas, S Liu, Y Zhang, Y Xiang, S Yu Digital Communications and Networks 6 (4), 399-421, 2020 | 76 | 2020 |
| DeepBalance: Deep-learning and fuzzy oversampling for vulnerability detection S Liu, G Lin, QL Han, S Wen, J Zhang, Y Xiang IEEE Transactions on Fuzzy Systems 28 (7), 1329-1343, 2019 | 71 | 2019 |
| Fuzzy-based information decomposition for incomplete and imbalanced data learning S Liu, J Zhang, Y Xiang, W Zhou IEEE Transactions on Fuzzy Systems 25 (6), 1476-1490, 2017 | 61 | 2017 |
| Decision-based evasion attacks on tree ensemble classifiers F Zhang, Y Wang, S Liu, H Wang World Wide Web 23, 2957-2977, 2020 | 47 | 2020 |
| CD-VulD: Cross-domain vulnerability discovery based on deep domain adaptation S Liu, G Lin, L Qu, J Zhang, O De Vel, P Montague, Y Xiang IEEE Transactions on Dependable and Secure Computing 19 (1), 438-451, 2020 | 45 | 2020 |
| A comparative study of the class imbalance problem in Twitter spam detection C Li, S Liu Concurrency and Computation: Practice and Experience 30 (5), e4281, 2018 | 44 | 2018 |
| Statistical Detection of Online Drifting Twitter Spam S Liu, J Zhang, Y Xiang Proceedings of the 11th ACM on Asia Conference on Computer and …, 2016 | 44 | 2016 |
| An overview of attacks and defences on intelligent connected vehicles M Dibaei, X Zheng, K Jiang, S Maric, R Abbas, S Liu, Y Zhang, Y Deng, ... arXiv preprint arXiv:1907.07455, 2019 | 41 | 2019 |
| Dynamic access point association using software defined networking K Sood, S Liu, S Yu, Y Xiang 2015 International Telecommunication Networks and Applications Conference …, 2015 | 37 | 2015 |
| A performance evaluation of deep‐learnt features for software vulnerability detection X Ban, S Liu, C Chen, C Chua Concurrency and Computation: Practice and Experience 31 (19), e5103, 2019 | 35 | 2019 |
| Detecting spamming activities in twitter based on deep‐learning technique T Wu, S Wen, S Liu, J Zhang, Y Xiang, M Alrubaian, MM Hassan Concurrency and Computation: Practice and Experience 29 (19), e4209, 2017 | 31 | 2017 |
| Cyber vulnerability intelligence for internet of things binary S Liu, M Dibaei, Y Tai, C Chen, J Zhang, Y Xiang IEEE Transactions on Industrial Informatics 16 (3), 2154-2163, 2019 | 29 | 2019 |
| Deep-learnt features for Twitter spam detection X Ban, C Chen, S Liu, Y Wang, J Zhang 2018 International Symposium on Security and Privacy in Social Networks and …, 2018 | 20 | 2018 |
| A study of data pre-processing techniques for imbalanced biomedical data classification S Liu, J Zhang, Y Xiang, W Zhou, D Xiang International Journal of Bioinformatics Research and Applications 16 (3 …, 2020 | 19 | 2020 |
| An ensemble learning approach for addressing the class imbalance problem in Twitter spam detection S Liu, Y Wang, C Chen, Y Xiang Information Security and Privacy: 21st Australasian Conference, ACISP 2016 …, 2016 | 15 | 2016 |
| Fuzzy-based feature and instance recovery S Liu, J Zhang, Y Wang, Y Xiang Intelligent Information and Database Systems: 8th Asian Conference, ACIIDS …, 2016 | 14 | 2016 |
| Information-decomposition-model-based missing value estimation for not missing at random dataset S Liu, H Dai, M Gan International Journal of Machine Learning and Cybernetics 9, 85-95, 2018 | 13 | 2018 |
Yang XiangIEEE Fellow, Professfor, Swinburne University of TechnologyVerified email at swin.edu.au
