| Transfer learning using computational intelligence: A survey J Lu, V Behbood, P Hao, H Zuo, S Xue, G Zhang Knowledge-Based Systems 80, 14-23, 2015 | 1075 | 2015 |
| A comprehensive survey on graph anomaly detection with deep learning X Ma, J Wu, S Xue, J Yang, C Zhou, QZ Sheng, H Xiong, L Akoglu IEEE transactions on knowledge and data engineering 35 (12), 12012-12038, 2021 | 714 | 2021 |
| A comprehensive survey on community detection with deep learning X Su, S Xue, F Liu, J Wu, J Yang, C Zhou, W Hu, C Paris, S Nepal, D Jin, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 438 | 2022 |
| Deep Learning for Community Detection: Progress, Challenges and Opportunities F Liu, S Xue, J Wu, C Zhou, W Hu, C Paris, S Nepal, J Yang, PS Yu IJCAI, 4981-4987, 2020 | 303 | 2020 |
| Fraudre: Fraud detection dual-resistant to graph inconsistency and imbalance G Zhang, J Wu, J Yang, A Beheshti, S Xue, C Zhou, QZ Sheng 2021 IEEE international conference on data mining (ICDM), 867-876, 2021 | 123 | 2021 |
| Comga: Community-aware attributed graph anomaly detection X Luo, J Wu, A Beheshti, J Yang, X Zhang, Y Wang, S Xue Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 92 | 2022 |
| Detecting the evolving community structure in dynamic social networks F Liu, J Wu, S Xue, C Zhou, J Yang, Q Sheng World Wide Web, 2019 | 73 | 2019 |
| Online active learning for drifting data streams S Liu, S Xue, J Wu, C Zhou, J Yang, Z Li, J Cao IEEE Transactions on Neural Networks and Learning Systems 34 (1), 186-200, 2021 | 71 | 2021 |
| ForeXGBoost: passenger car sales prediction based on XGBoost Z Xia, S Xue, L Wu, J Sun, Y Chen, R Zhang Distributed and Parallel Databases 38, 713-738, 2020 | 55 | 2020 |
| ProcessGPT: transforming business process management with generative artificial intelligence A Beheshti, J Yang, QZ Sheng, B Benatallah, F Casati, S Dustdar, ... 2023 IEEE International Conference on Web Services (ICWS), 731-739, 2023 | 54 | 2023 |
| Dagad: Data augmentation for graph anomaly detection F Liu, X Ma, J Wu, J Yang, S Xue, A Beheshti, C Zhou, H Peng, QZ Sheng, ... 2022 IEEE international conference on data mining (ICDM), 259-268, 2022 | 52 | 2022 |
| Dual-discriminative graph neural network for imbalanced graph-level anomaly detection G Zhang, Z Yang, J Wu, J Yang, S Xue, H Peng, J Su, C Zhou, QZ Sheng, ... Advances in Neural Information Processing Systems 35, 24144-24157, 2022 | 42 | 2022 |
| Multi-aspect enhanced graph neural networks for recommendation C Zhang, S Xue, J Li, J Wu, B Du, D Liu, J Chang Neural Networks 157, 90-102, 2023 | 39 | 2023 |
| Deep graph level anomaly detection with contrastive learning X Luo, J Wu, J Yang, S Xue, H Peng, C Zhou, H Chen, Z Li, QZ Sheng Scientific Reports 12 (1), 19867, 2022 | 32 | 2022 |
| Task Offloading with Task Classification and Offloading Nodes Selection for MEC-Enabled IoV R Zhang, L Wu, S Cao, X Hu, S Xue, D Wu, Q Li ACM Transactions on Internet Technology 22 (2), 2022 | 26 | 2022 |
| A data stream cleaning system using edge intelligence for smart city industrial environments D Sun, S Xue, H Wu, J Wu IEEE Transactions on Industrial Informatics 18 (2), 1165-1174, 2021 | 24 | 2021 |
| Minimum entropy principle guided graph neural networks Z Yang, G Zhang, J Wu, J Yang, QZ Sheng, H Peng, A Li, S Xue, J Su Proceedings of the sixteenth ACM international conference on web search and …, 2023 | 22 | 2023 |
| C-DeepTrust: A context-aware deep trust prediction model in online social networks Q Wang, W Zhao, J Yang, J Wu, S Xue, Q Xing, SY Philip IEEE Transactions on neural networks and learning systems 34 (6), 2767-2780, 2021 | 22 | 2021 |
| Cross-domain network representations S Xue, J Lu, G Zhang Pattern Recognition 94, 135-148, 2019 | 20 | 2019 |
| eRiskCom: an e-commerce risky community detection platform F Liu, Z Li, B Wang, J Wu, J Yang, J Huang, Y Zhang, W Wang, S Xue, ... The VLDB Journal 31 (5), 1085-1101, 2022 | 18 | 2022 |
Jian YangProfessor, Co-Director of Macquarie University Data Horizon Research CentreПідтверджена електронна адреса в mq.edu.au