Yue Zhao 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	4327	4309
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Leman AkogluAssociate Professor, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
George H. ChenAssistant Professor, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Xueying DingPh.D. Student, Heinz College, Carnegie Mellon University在 andrew.cmu.edu 的电子邮件经过验证
Philip S. YuProfessor of Computer Science, University of Illinons at Chicago在 cs.uic.edu 的电子邮件经过验证
Jure LeskovecProfessor of Computer Science, Stanford University在 cs.stanford.edu 的电子邮件经过验证
Marinka ZitnikAssistant Professor, Harvard University在 hms.harvard.edu 的电子邮件经过验证
Tianfan FuRensselaer Polytechnic Institute在 rpi.edu 的电子邮件经过验证
Zhihao JiaAssistant Professor of Computer Science, Carnegie Mellon University在 cmu.edu 的电子邮件经过验证
Jundong LiAssistant Professor, University of Virginia在 virginia.edu 的电子邮件经过验证
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
Yingtong DouResearch Scientist, Visa Inc.在 visa.com 的电子邮件经过验证
Kaize DingAssistant Professor of Stats & Data Science, Northwestern University在 northwestern.edu 的电子邮件经过验证
Lichao "James" SunAssistant Professor of Computer Science, Lehigh University在 lehigh.edu 的电子邮件经过验证
Kai ShuAssistant Professor of Computer Science, Illinois Institute of Technology在 iit.edu 的电子邮件经过验证
Wen WangAssistant Professor at University of Maryland, College Park在 umd.edu 的电子邮件经过验证
Christos FaloutsosCMU在 cs.cmu.edu 的电子邮件经过验证
Guoqing ZhengMicrosoft Research在 microsoft.com 的电子邮件经过验证
Subhabrata MukherjeeChief Scientist, Hippocratic AI在 hippocraticai.com 的电子邮件经过验证
Ahmed Hassan AwadallahMicrosoft Research在 microsoft.com 的电子邮件经过验证
Qingsong Wen (文青松)Head of AI Research & Chief Scientist @ Squirrel AI在 gatech.edu 的电子邮件经过验证

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Yue Zhao

Assistant Professor of Computer Science, University of Southern California

在 usc.edu 的电子邮件经过验证 - 首页

data mining anomaly detection machine learning systems automl


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
PyOD: A Python Toolbox for Scalable Outlier Detection Y Zhao, Z Nasrullah, Z Li Journal of Machine Learning Research (JMLR) 20, 1-7, 2019	899	2019
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	823	2023
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	323	2020
ADBench: Anomaly Detection Benchmark S Han, X Hu, H Huang, M Jiang, Y Zhao Advances in Neural Information Processing Systems (NeurIPS) 35, 2022	245	2022
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	233	2022
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	228	2021
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	192	2018
XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning Y Zhao, M Hryniewicki International Joint Conference on Neural Networks (IJCNN), 2018	167	2018
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	165	2019
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	147	2021
Automatic Unsupervised Outlier Model Selection Y Zhao, R Rossi, L Akoglu Advances in Neural Information Processing Systems (NeurIPS) 34, 2021	92*	2021
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	91	2022
Trustllm: Trustworthiness in large language models L Sun, Y Huang, H Wang, S Wu, Q Zhang, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning (ICML), 2024	79	2024
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	72	2021
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	71*	2021
Music Artist Classification with Convolutional Recurrent Neural Networks Z Nasrullah, Y Zhao International Joint Conference on Neural Networks (IJCNN), 2019	67	2019
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	63	2022
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	48	2022
PyGOD: A Python Library for Graph Outlier Detection K Liu, Y Dou, Y Zhao*, X Ding, X Hu, R Zhang, K Ding, C Chen, H Peng, ... arXiv preprint arXiv:2204.12095, 2022	35	2022
DCSO: dynamic combination of detector scores for outlier ensembles Y Zhao, MK Hryniewicki KDD Workshop on Outlier Detection and Description, 2018	35*	2018

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