Obserwuj
Yue Zhao
Tytuł
Cytowane przez
Cytowane przez
Rok
Diffusion Models: A Comprehensive Survey of Methods and Applications
L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, W Zhang, B Cui, ...
ACM Computing Surveys, 2023
15602023
PyOD: A Python Toolbox for Scalable Outlier Detection
Y Zhao, Z Nasrullah, Z Li
Journal of Machine Learning Research (JMLR) 20, 1-7, 2019
10782019
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
4372020
ADBench: Anomaly Detection Benchmark
S Han*, X Hu*, H Huang*, M Jiang*, Y Zhao*
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022
4012022
Ecod: Unsupervised outlier detection using empirical cumulative distribution functions
Y Zhao*, Z Li*, X Hu, N Botta, C Ionescu, G Chen
IEEE Transactions on Knowledge and Data Engineering, 2022
3582022
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
3132021
Position: Trustllm: Trustworthiness in large language models
Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ...
International Conference on Machine Learning (ICML), 20166-20270, 2024
288*2024
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
2322021
Employee Turnover Prediction with Machine Learning: A Reliable Approach
Y Zhao, M Hryniewicki, F Cheng, X Fu, Boyang, Zhu
Intelligent Systems Conference, 737-758, 2018
2312018
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning
Y Zhao, M Hryniewicki
International Joint Conference on Neural Networks (IJCNN), 2018
1972018
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
1862019
Artificial intelligence foundation for therapeutic science
K Huang, T Fu, W Gao, Y Zhao, Y Roohani, J Leskovec, CW Coley, ...
Nature Chemical Biology 18 (10), 1033-1036, 2022
1312022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
K Liu*, Y Dou*, Y Zhao*, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ...
Advances in Neural Information Processing Systems (NeurIPS) 35, 2022
1052022
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
912021
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
902021
Contrastive Attributed Network Anomaly Detection with Data Augmentation
Z Xu, X Huang, Y Zhao, Y Dong, J Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
882022
Automatic Unsupervised Outlier Model Selection
Y Zhao, R Rossi, L Akoglu
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
832021
Music Artist Classification with Convolutional Recurrent Neural Networks
Z Nasrullah, Y Zhao
International Joint Conference on Neural Networks (IJCNN), 2019
802019
PyGOD: A Python Library for Graph Outlier Detection
K Liu*, Y Dou*, X Ding, X Hu, R Zhang, H Peng, L Sun, PS Yu
Journal of Machine Learning Research, 2024
572024
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
45*2020
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