| PyOD: A Python Toolbox for Scalable Outlier Detection Y Zhao, Z Nasrullah, Z Li Journal of Machine Learning Research 20 (96), 1-7, 2019 | 856 | 2019 |
| COPOD: Copula-Based Outlier Detection Z Li, Y Zhao, N Botta, C Ionescu, X Hu IEEE International Conference on Data Mining (ICDM), 2020 | 300 | 2020 |
| ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions Z Li, Y Zhao, X Hu, N Botta, C Ionescu, GH Chen IEEE Transactions on Knowledge and Data Engineering 35 (12), 12181-12193, 2022 | 211 | 2022 |
| LSCP: Locally selective combination in parallel outlier ensembles Y Zhao, Z Nasrullah, MK Hryniewicki, Z Li Proceedings of the 2019 SIAM International Conference on Data Mining, 585-593, 2019 | 156 | 2019 |
| SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection Y Zhao, X Hu, C Cheng, C Wang, C Wan, W Wang, J Yang, H Bai, Z Li, ... arXiv preprint arXiv:2003.05731, 2020 | 69* | 2020 |
| Sync: A copula based framework for generating synthetic data from aggregated sources Z Li, Y Zhao, J Fu 2020 International Conference on Data Mining Workshops (ICDMW), 571-578, 2020 | 22 | 2020 |
| A Python Toolbox for Scalable Outlier Detection. arXiv 2019 Y Zhao, Z Nasrullah, Z Li arXiv preprint arXiv:1901.01588, 2019 | 15 | 2019 |
| SynC: A unified framework for generating synthetic population with gaussian copula C Wan, Z Li, A Guo, Y Zhao Workshops at the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2019 | 8 | 2019 |
| Responsibility under uncertainty: which climate decisions matter most? N Botta, N Brede, M Crucifix, C Ionescu, P Jansson, Z Li, M Martínez, ... Environmental Modeling & Assessment 28 (3), 337-365, 2023 | 3 | 2023 |
| On the Estimation of Large Covariance Matrices in Risk Management Z Li International Conference on Engineering and Risk Management, 2012 | | 2012 |
Yue ZhaoAssistant Professor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
