| One-class adversarial nets for fraud detection P Zheng, S Yuan, X Wu, J Li, A Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1286-1293, 2019 | 175 | 2019 |
| A novel SVD and LS-SVM combination algorithm for blind watermarking PP Zheng, J Feng, Z Li, M Zhou Neurocomputing 142, 520-528, 2014 | 50 | 2014 |
| Safe: A neural survival analysis model for fraud early detection P Zheng, S Yuan, X Wu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1278-1285, 2019 | 40 | 2019 |
| Insider threat detection via hierarchical neural temporal point processes S Yuan, P Zheng, X Wu, Q Li 2019 IEEE international conference on big data (big data), 1343-1350, 2019 | 31 | 2019 |
| Wikipedia vandal early detection: from user behavior to user embedding S Yuan, P Zheng, X Wu, Y Xiang Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 29 | 2017 |
| Few-shot insider threat detection S Yuan, P Zheng, X Wu, H Tong Proceedings of the 29th ACM International Conference on Information …, 2020 | 22 | 2020 |
| Using Dirichlet marked Hawkes processes for insider threat detection P Zheng, S Yuan, X Wu Digital Threats: Research and Practice (DTRAP) 3 (1), 1-19, 2021 | 9 | 2021 |
| Video recommendation based on multi-modal information and multiple kernel Z Li, JY Peng, GH Geng, XJ Chen, PP Zheng Multimedia Tools and Applications 74, 4599-4616, 2015 | 8 | 2015 |
| Identifying hidden buyers in darknet markets via dirichlet hawkes process P Zheng, S Yuan, X Wu, Y Wu arXiv preprint arXiv:1911.04620, 2019 | 4 | 2019 |
| Hidden Buyer Identification in Darknet Markets via Dirichlet Hawkes Process P Zheng, S Yuan, X Wu, Y Wu 2021 IEEE International Conference on Big Data (Big Data), 581-589, 2021 | 3 | 2021 |
| Dynamic Fraud Detection via Sequential Modeling P Zheng University of Arkansas, 2020 | 1 | 2020 |
| Progressive Complementation Network With Semantics and Details for Salient Object Detection in Optical Remote Sensing Images R Zhao, P Zheng, C Zhang, L Wang IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
