| 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 | 98 | 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 | 71 | 2020 |
| Cyber threat intelligence modeling based on heterogeneous graph convolutional network J Zhao, Q Yan, X Liu, B Li, G Zuo 23rd international symposium on research in attacks, intrusions and defenses …, 2020 | 56 | 2020 |
| 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 | 23 | 2021 |
| Cyber threat prediction using dynamic heterogeneous graph learning J Zhao, M Shao, H Wang, X Yu, B Li, X Liu Knowledge-Based Systems 240, 108086, 2022 | 20 | 2022 |
| MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection J Lan, X Liu, B Li, J Sun, B Li, J Zhao Computers & Security 123, 102919, 2022 | 16 | 2022 |
| MG-DVD: A real-time framework for malware variant detection based on dynamic heterogeneous graph learning C Liu, B Li, J Zhao, M Su, XD Liu arXiv preprint arXiv:2106.12288, 2021 | 15 | 2021 |
| 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 228, 107296, 2021 | 11 | 2021 |
| Fewm-hgcl: Few-shot malware variants detection via heterogeneous graph contrastive learning C Liu, B Li, J Zhao, Z Zhen, X Liu, Q Zhang IEEE Transactions on Dependable and Secure Computing, 2022 | 10 | 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 | 6 | 2023 |
| Detecting fake reviews via dynamic multimode network J Zhao, H Wang International Journal of High Performance Computing and Networking 13 (4 …, 2019 | 6 | 2019 |
| A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection J Lan, X Liu, B Li, J Zhao Applied Intelligence 53 (10), 11705-11726, 2023 | 5 | 2023 |
| MASA: An efficient framework for anomaly detection in multi-attributed networks M Shao, J Li, Y Chang, J Zhao, X Chen Computers & Security 102, 102085, 2021 | 4 | 2021 |
| 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 | 1 | 2023 |
| TI-MVD: A temporal interaction-enhanced model for malware variants detection C Liu, B Li, J Zhao, Z Zhen, W Feng, X Liu Knowledge-Based Systems 278, 110850, 2023 | 1 | 2023 |
| Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction L Zhuang, H Wang, J Zhao, Y Sun Information Sciences 642, 119139, 2023 | 1 | 2023 |
| MalAF: Malware Attack Foretelling From Run-Time Behavior Graph Sequence C Liu, B Li, J Zhao, X Liu, C Li IEEE Transactions on Dependable and Secure Computing, 2023 | 1 | 2023 |
| Dual network contrastive learning for predicting microbe-disease associations E Cheng, J Zhao, H Wang, S Song, S Xiong, Y Sun IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022 | 1 | 2022 |
| A2-CLM: Few-shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation C Liu, B Li, J Zhao, W Feng, X Liu, C Li IEEE Transactions on Information Forensics and Security, 2023 | | 2023 |
| A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy’s pathological response diagnosis using breast dynamic contrast-enhanced MRI T Liu, H Wang, S Yu, F Feng, J Zhao Biomedical Signal Processing and Control 86, 105145, 2023 | | 2023 |
Xudong LiuBeihang UniversityVerified email at buaa.edu.cn
