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Yue Zhao
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Year
PyOD: A Python Toolbox for Scalable Outlier Detection
Y Zhao, Z Nasrullah, Z Li
Journal of Machine Learning Research (JMLR) 20, 1-7, 2019
4922019
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
1182020
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
982019
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
962018
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Y Zhao, M Hryniewicki
International Joint Conference on Neural Networks (IJCNN), 2018
942018
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
692021
Music Artist Classification with Convolutional Recurrent Neural Networks
Z Nasrullah, Y Zhao
International Joint Conference on Neural Networks (IJCNN), 2019
392019
Automatic Unsupervised Outlier Model Selection
Y Zhao, R Rossi, L Akoglu
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
36*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
362021
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
33*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
292021
Diffusion Models: A Comprehensive Survey of Methods and Applications
L Yang, Z Zhang, S Hong, R Xu, Y Zhao, Y Shao, W Zhang, MH Yang, ...
arXiv preprint arXiv:2209.00796, 2022
252022
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
252022
DCSO: dynamic combination of detector scores for outlier ensembles
Y Zhao, MK Hryniewicki
KDD Workshop on Outlier Detection and Description, 2018
18*2018
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
172017
ADBench: Anomaly Detection Benchmark
S Han*, X Hu*, H Huang*, M Jiang*, Y Zhao*
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022
162022
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
13*2020
The Need for Unsupervised Outlier Model Selection: A Review and Evaluation of Internal Evaluation Strategies
MQ Ma*, Y Zhao*, X Zhang, L Akoglu
ACM SIGKDD Explorations Newsletter 25 (1), 2023
12*2023
Combining Machine Learning Models using combo Library
Y Zhao, X Wang, C Cheng, X Ding
Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2019
122019
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
112020
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