| TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data J Zhao, Q Yan, J Li, M Shao, Z He, B Li Computers & Security 95, 101867, 2020 | 132 | 2020 |
| Multi-attributed heterogeneous graph convolutional network for bot detection J Zhao, X Liu, Q Yan, B Li, M Shao, H Peng Information Sciences 537, 380-393, 2020 | 85 | 2020 |
| An efficient approach to event detection and forecasting in dynamic multivariate social media networks M Shao, J Li, F Chen, H Huang, S Zhang, X Chen Proceedings of the 26th International Conference on World Wide Web, 1631-1639, 2017 | 54 | 2017 |
| Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning J Zhao, X Liu, Q Yan, B Li, M Shao, H Peng, L Sun computers & security 102, 102152, 2021 | 29 | 2021 |
| Cyber Threat Prediction Using Dynamic Heterogeneous Graph Learning J Zhao, M Shao, H Wang, X Yu, B Li, X Liu Knowledge-Based Systems, 2022 | 27 | 2022 |
| Text similarity computing based on LDA topic model and word co-occurrence M Shao, L Qin 2014 2nd International Conference on Software Engineering, Knowledge …, 2014 | 25 | 2014 |
| A novel combined dynamic ensemble selection model for imbalanced data to detect COVID-19 from complete blood count J Wu, J Shen, M Xu, M Shao Computer Methods and Programs in Biomedicine, 2021 | 21 | 2021 |
| Stacked kernel network S Zhang, J Li, P Xie, Y Zhang, M Shao, H Zhou, M Yan arXiv preprint arXiv:1711.09219, 2017 | 21 | 2017 |
| Towards a Multi-view Attentive Matching for Personalized Expert Finding Q Peng, H Liu, Y Wang, H Xu, P Jiao, M Shao, W Wang Proceedings of the ACM Web Conference, 2022 | 18 | 2022 |
| Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning J Zhao, M Shao, H Peng, H Wang, B Li, X Liu Knowledge-Based Systems, 2021 | 17 | 2021 |
| Towards comprehensive expert finding with a hierarchical matching network Q Peng, W Wang, H Liu, Y Wang, H Xu, M Shao Knowledge-Based Systems 257, 109933, 2022 | 16 | 2022 |
| Learning graph deep autoencoder for anomaly detection in multi-attributed networks M Shao, Y Lin, Q Peng, J Zhao, Z Pei, Y Sun Knowledge-Based Systems 260, 110084, 2023 | 15 | 2023 |
| Structured sparsity model based trajectory tracking using private location data release M Shao, J Li, Q Yan, F Chen, H Huang, X Chen IEEE Transactions on Dependable and Secure Computing 18 (6), 2983-2995, 2020 | 14 | 2020 |
| Multi-view change point detection in dynamic networks Y Xie, W Wang, M Shao, T Li, Y Yu Information Sciences 629, 344-357, 2023 | 13 | 2023 |
| An efficient framework for detecting evolving anomalous subgraphs in dynamic networks M Shao, J Li, F Chen, X Chen IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 2258-2266, 2018 | 13 | 2018 |
| Supervised Algorithmic Fairness in Distribution Shifts: A Survey M Shao, D Li, C Zhao, X Wu, Y Lin, Q Tian In Proceedings of the 33rd International Joint Conference on Artificial …, 2024 | 11 | 2024 |
| Network Alignment enhanced via modeling heterogeneity of anchor nodes Y Wang, Q Peng, W Wang, X Guo, M Shao, H Liu, W Liang, L Pan Knowledge-Based Systems 250, 109116, 2022 | 9 | 2022 |
| RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks J Zhao, M Shao, H Tang, J Liu, L Du, H Wang Knowledge-Based Systems 280, 111029, 2023 | 8 | 2023 |
| Motif-level anomaly detection in dynamic graphs Z Yuan, M Shao, Q Yan IEEE Transactions on Information Forensics and Security 18, 2870-2882, 2023 | 8 | 2023 |
| Geometry Interaction Network Alignment Y Wang, W Wang, Z Zhen, Q Peng, P Jiao, W Liang, M Shao, Y Sun Neurocomputing, 2022 | 6 | 2022 |
Jun ZhaoShandong Normal UniversityVerified email at sdnu.edu.cn
