| PyOD: A Python Toolbox for Scalable Outlier Detection Y Zhao, Z Nasrullah, Z Li Journal of Machine Learning Research (JMLR) 20, 1-7, 2019 | 414 | 2019 |
| COPOD: copula-based outlier detection Z Li, Y Zhao, N Botta, C Ionescu, X Hu 2020 IEEE International Conference on Data Mining (ICDM), 1118-1123, 2020 | 91 | 2020 |
| LSCP: Locally selective combination in parallel outlier ensembles Y Zhao, Z Nasrullah, MK Hryniewicki, Z Li SIAM International Conference on Data Mining (SDM), 585-593, 2019 | 84 | 2019 |
| Employee Turnover Prediction with Machine Learning: A Reliable Approach Y Zhao, M Hryniewicki, F Cheng, X Fu, Boyang, Zhu Intelligent Systems Conference (IntelliSys) 2, 737-758, 2018 | 83 | 2018 |
| XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning Y Zhao, M Hryniewicki International Joint Conference on Neural Networks (IJCNN), 2018 | 79 | 2018 |
| Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ... Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 49 | 2021 |
| Music Artist Classification with Convolutional Recurrent Neural Networks Z Nasrullah, Y Zhao International Joint Conference on Neural Networks (IJCNN), 2019 | 34 | 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, ... Proceedings of Machine Learning and Systems (MLSys) 3, 2021 | 27* | 2021 |
| Revisiting Time Series Outlier Detection: Definitions and Benchmarks KH Lai, D Zha, J Xu, Y Zhao, G Wang, X Hu Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 21 | 2021 |
| TODS: An Automated Time Series Outlier Detection System KH Lai, D Zha, G Wang, J Xu, Y Zhao, D Kumar, Y Chen, P Zumkhawaka, ... Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), 2021 | 20 | 2021 |
| Automatic Unsupervised Outlier Model Selection Y Zhao, R Rossi, L Akoglu Advances in Neural Information Processing Systems (NeurIPS) 34, 2021 | 16* | 2021 |
| An Empirical Study of Touch-based Authentication Methods on Smartwatches Y Zhao, Z Qiu, Y Yang, W Li, M Fan ACM International Symposium on Wearable Computers (ISWC), 122-125, 2017 | 15 | 2017 |
| 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 (TKDE), 2022 | 12 | 2022 |
| DCSO: dynamic combination of detector scores for outlier ensembles Y Zhao, MK Hryniewicki KDD Workshop on Outlier Detection and Description, 2018 | 12 | 2018 |
| SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources Z Li, Y Zhao, J Fu IEEE International Conference on Data Mining Workshops (ICDMW), 2020 | 10* | 2020 |
| AutoAudit: Mining Accounting and Time-Evolving Graphs MC Lee, Y Zhao, A Wang, PJ Liang, L Akoglu, VS Tseng, C Faloutsos 2020 IEEE International Conference on Big Data (Big Data), 2020 | 9 | 2020 |
| Combining Machine Learning Models using combo Library Y Zhao, X Wang, C Cheng, X Ding Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2019 | 9 | 2019 |
| A python toolbox for scalable outlier detection. arXiv 2019 Y Zhao, Z Nasrullah, ZPOD Li arXiv preprint arXiv:1901.01588, 2019 | 9 | 2019 |
| A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? MQ Ma*, Y Zhao*, X Zhang, L Akoglu arXiv preprint arXiv:2104.01422, 2021 | 6 | 2021 |
| PyHealth: A Python Library for Health Predictive Models Y Zhao, Z Qiao, C Xiao, L Glass, J Sun arXiv preprint arXiv:2101.04209, 2021 | 5 | 2021 |
Zheng LiNortheastern University Toronto and ArimaVerified email at arimadata.com
