Yue Zhao

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All published works
Action Title Year Authors
+ PDF Chat NLP-ADBench: NLP Anomaly Detection Benchmark 2024 Yuangang Li
Jiaqi Li
Zhuo Xiao
Tiankai Yang
Nian Yi
Xiyang Hu
Yue Zhao
+ PDF Chat Fast Unsupervised Deep Outlier Model Selection with Hypernetworks 2024 Xueying Ding
Yue Zhao
Leman Akoglu
+ PDF Chat CEPC Technical Design Report: Accelerator 2024 Waleed Abdallah
K. Afanaciev
Shakeel Ahmad
I. Ahmed
X. Ai
Abid Aleem
Wolfgang Altmannshofer
Fabio Alves
Rui An
Weiming An
+ Diffusion Models: A Comprehensive Survey of Methods and Applications 2023 L. Yang
Zhilong Zhang
Yang Song
Shenda Hong
Runsheng Xu
Yue Zhao
Wentao Zhang
Bin Cui
Ming–Hsuan Yang
+ DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection 2023 Jaemin Yoo
Yue Zhao
Lingxiao Zhao
Leman Akoglu
+ Fast Unsupervised Deep Outlier Model Selection with Hypernetworks 2023 Xueying Ding
Yue Zhao
Leman Akoglu
+ PDF Chat Toward Unsupervised Outlier Model Selection 2022 Yue Zhao
Sean X. Zhang
Leman Akoglu
+ PDF Chat ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions 2022 Zheng Li
Yue Zhao
Xiyang Hu
Nicola Botta
Cezar Ionescu
George H. Chen
+ PDF Chat ADBench: Anomaly Detection Benchmark 2022 Songqiao Han
Xiyang Hu
Hailiang Huang
Minqi Jiang
Yue Zhao
+ PDF Chat ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions 2022 Zheng Li
Yue Zhao
Xiyang Hu
Nicola Botta
Cezar Ionescu
George H. Chen
+ TOD: Tensor-based Outlier Detection. 2021 Yue Zhao
George H. Chen
Zhihao Jia
+ PDF Chat TODS: An Automated Time Series Outlier Detection System 2021 Kwei-Herng Lai
Daochen Zha
Guanchu Wang
Junjie Xu
Yue Zhao
Devesh Kumar
Yile Chen
Purav Zumkhawaka
Minyang Wan
Diego C. Martínez
+ A Large-scale Study on Unsupervised Outlier Model Selection: Evaluating the Internal Model Evaluation Strategies 2021 Quintín Martín Martín
Yue Zhao
Xiaorong Zhang
Leman Akoglu
+ COPOD: Copula-Based Outlier Detection 2021 Zheng Li
Yue Zhao
Nicola Botta
Cezar Ionescu
Xiyang Hu
+ Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics 2021 Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
Jure Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Žitnik
+ PyHealth: A Python Library for Health Predictive Models 2021 Yue Zhao
Zhi Qiao
Cao Xiao
Lucas M. Glass
Jimeng Sun
+ A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice? 2021 Quintín Martín Martín
Yue Zhao
Xiaorong Zhang
Leman Akoglu
+ Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development 2021 Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
Jure Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Žitnik
+ PDF Chat AutoAudit: Mining Accounting and Time-Evolving Graphs 2020 Meng-Chieh Lee
Yue Zhao
Aluna Wang
Pierre Jinghong Liang
Leman Akoglu
Vincent S. Tseng
Christos Faloutsos
+ AutoAudit: Mining Accounting and Time-Evolving Graphs 2020 Meng-Chieh Lee
Yue Zhao
Aluna Wang
Pierre Jinghong Liang
Leman Akoglu
Vincent S. Tseng
Christos Faloutsos
+ PDF Chat COPOD: Copula-Based Outlier Detection 2020 Zheng Li
Yue Zhao
Nicola Botta
Cezar Ionescu
Xiyang Hu
+ PDF Chat SynC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources 2020 Zheng Li
Yue Zhao
Jialin Fu
+ COPOD: Copula-Based Outlier Detection 2020 Zheng Li
Yue Zhao
Nicola Botta
Cezar Ionescu
Xiyang Hu
+ PDF Chat Combining Machine Learning Models Using combo Library 2020 Yue Zhao
Xuejian Wang
Cheng Cheng
Xueying Ding
+ SUOD: A Scalable Unsupervised Outlier Detection Framework 2020 Yue Zhao
Xiyang Hu
Cheng Cheng
Cong Wang
Cao Xiao
Yunlong Wang
Jimeng Sun
Leman Akoglu
+ SUOD: Toward Scalable Unsupervised Outlier Detection 2020 Yue Zhao
Xueying Ding
Jianing Yang
Haoping Bai
+ SYNC: A Copula based Framework for Generating Synthetic Data from Aggregated Sources 2020 Zheng Li
Yue Zhao
Jialin Fu
+ TODS: An Automated Time Series Outlier Detection System 2020 Kwei-Herng Lai
Daochen Zha
Guanchu Wang
Junjie Xu
Yue Zhao
Devesh Kumar
Yile Chen
Purav Zumkhawaka
Minyang Wan
Diego C. Martínez
+ Automating Outlier Detection via Meta-Learning 2020 Yue Zhao
Ryan A. Rossi
Leman Akoglu
+ SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection 2020 Yue Zhao
Xiyang Hu
Cheng Cheng
Cong Wang
Changlin Wan
Wen Wang
Jianing Yang
Haoping Bai
Zheng Li
Cao Xiao
+ PDF Chat Music Artist Classification with Convolutional Recurrent Neural Networks 2019 Zain Nasrullah
Yue Zhao
+ LSCP: Locally Selective Combination in Parallel Outlier Ensembles 2019 Yue Zhao
Zain Nasrullah
Maciej K. Hryniewicki
Zheng Li
+ PyOD: A Python Toolbox for Scalable Outlier Detection 2019 Yue Zhao
Zain Nasrullah
Zheng Li
+ Music Artist Classification with Convolutional Recurrent Neural Networks 2019 Zain Nasrullah
Yue Zhao
+ SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula 2019 Colin Wan
Zheng Li
Yue Zhao
+ PyOD: A Python Toolbox for Scalable Outlier Detection 2019 Yue Zhao
Zain Nasrullah
Zheng Li
+ DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles 2019 Yue Zhao
Maciej K. Hryniewicki
+ PDF Chat XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning 2018 Yue Zhao
Maciej K. Hryniewicki
+ PDF Chat An empirical study of touch-based authentication methods on smartwatches 2017 Yue Zhao
Zhongtian Qiu
Yiqing Yang
Weiwei Li
Mingming Fan
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PyOD: A Python Toolbox for Scalable Outlier Detection 2019 Yue Zhao
Zain Nasrullah
Zheng Li
19
+ Isolation Forest 2008 Fei Tony Liu
Kai Ming Ting
Zhi‐Hua Zhou
12
+ LSCP: Locally Selective Combination in Parallel Outlier Ensembles 2019 Yue Zhao
Zain Nasrullah
Maciej K. Hryniewicki
Zheng Li
12
+ PDF Chat XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning 2018 Yue Zhao
Maciej K. Hryniewicki
11
+ Efficient algorithms for mining outliers from large data sets 2000 Sridhar Ramaswamy
Rajeev Rastogi
Kyuseok Shim
7
+ Feature bagging for outlier detection 2005 Aleksandar Lazarević
Vipin Kumar
7
+ Optimal Sparse Decision Trees 2019 Xiyang Hu
Cynthia Rudin
Margo Seltzer
7
+ Theoretical Foundations and Algorithms for Outlier Ensembles 2015 Charų C. Aggarwal
Saket Sathe
7
+ Outlier ensembles 2013 Charų C. Aggarwal
6
+ PDF Chat Generative Adversarial Active Learning for Unsupervised Outlier Detection 2019 Yezheng Liu
Zhe Li
Chong Zhou
Yuanchun Jiang
Jianshan Sun
Meng Wang
Xiangnan He
6
+ PDF Chat PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning 2020 Yuening Li
Daochen Zha
Praveen Kumar Venugopal
Na Zou
Xia Hu
5
+ An Introduction to Copulas 1999 Roger B. Nelsen
5
+ LoOP 2009 Hans‐Peter Kriegel
Peer Kröger
Erich Schubert
Arthur Zimek
4
+ PDF Chat Simple algorithm portfolio for SAT 2011 Mladen Nikolić
Filip Marić
Predrag Janičić
4
+ Scikit-learn: Machine Learning in Python 2012 Fabián Pedregosa
Gaël Varoquaux
Alexandre Gramfort
Vincent Michel
Bertrand Thirion
Olivier Grisel
Mathieu Blondel
Peter Prettenhofer
Ron J. Weiss
Vincent Dubourg
4
+ AutoOD: Automated Outlier Detection via Curiosity-guided Search and Self-imitation Learning 2020 Yuening Li
Zhengzhang Chen
Daochen Zha
Kaixiong Zhou
Haifeng Jin
Haifeng Chen
Xia Hu
4
+ SUOD: A Scalable Unsupervised Outlier Detection Framework 2020 Yue Zhao
Xiyang Hu
Cheng Cheng
Cong Wang
Cao Xiao
Yunlong Wang
Jimeng Sun
Leman Akoglu
4
+ Learning Representations for Outlier Detection on a Budget 2015 Barbora Micenková
Brian McWilliams
Ira Assent
3
+ Copula Gaussian graphical models and their application to modeling functional disability data 2011 Adrian Dobra
Alex Lenkoski
3
+ Discovering cluster-based local outliers 2003 Zengyou He
Xiaofei Xu
Shengchun Deng
3
+ On the internal evaluation of unsupervised outlier detection 2015 Henrique O. Marques
Ricardo J. G. B. Campello
Arthur Zimek
Jörg Sander
3
+ Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization 2016 Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
3
+ Statistical Comparisons of Classifiers over Multiple Data Sets 2006 Janez Demšar
3
+ WaveNet: A Generative Model for Raw Audio 2016 Aäron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alexander Graves
Nal Kalchbrenner
Andrew Senior
Koray Kavukcuoglu
3
+ Semi-supervised Rare Disease Detection Using Generative Adversarial Network 2018 Wenyuan Li
Yunlong Wang
Yong Cai
Corey Arnold
Emily Zhao
Yilian Yuan
3
+ PDF Chat Angle-based outlier detection in high-dimensional data 2008 Hans‐Peter Kriegel
Matthias Schubert
Arthur Zimek
3
+ PDF Chat A Unifying Review of Deep and Shallow Anomaly Detection 2021 Lukas Ruff
Jacob R. Kauffmann
Robert A. Vandermeulen
Grégoire Montavon
Wojciech Samek
Marius Kloft
Thomas G. Dietterich
Klaus‐Robert Müller
3
+ On the simulation of complex universes in the case of applying the german microcensus 2003 Ralf Münnich
Josef Schürle
3
+ Contingency tables with given marginals 1968 C. T. Ireland
S. Kullback
3
+ Models for Contingency Tables with Known Margins when Target and Sampled Populations Differ 1991 Roderick J. A. Little
Mei-Miau Wu
3
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
2
+ PDF Chat The Analysis of Bivariate Truncated Data Using the Clayton Copula Model 2007 Antai Wang
2
+ PDF Chat AutoML: A survey of the state-of-the-art 2020 Xin He
Kaiyong Zhao
Xiaowen Chu
2
+ PDF Chat Convolutional recurrent neural networks for music classification 2017 Keunwoo Choi
György Fazekas
M. Sandler
Kyunghyun Cho
2
+ Less is More: Building Selective Anomaly Ensembles 2015 Shebuti Rayana
Leman Akoglu
2
+ PDF Chat Sequential Ensemble Learning for Outlier Detection: A Bias-Variance Perspective 2016 Shebuti Rayana
Wen Zhong
Leman Akoglu
2
+ SynC: A Unified Framework for Generating Synthetic Population with Gaussian Copula 2019 Colin Wan
Zheng Li
Yue Zhao
2
+ PDF Chat No free lunch theorems for optimization 1997 David H. Wolpert
William G. Macready
2
+ PDF Chat Time-Series Anomaly Detection Service at Microsoft 2019 Hansheng Ren
Bixiong Xu
Yujing Wang
Chao Yi
Congrui Huang
Xiaoyu Kou
Tony Xing
Mao Yang
Jie Tong
Qi Zhang
2
+ DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles 2019 Yue Zhao
Maciej K. Hryniewicki
2
+ PDF Chat HiCS: High Contrast Subspaces for Density-Based Outlier Ranking 2012 Fabian Keller
Emmanuel Müller
Klemens Böhm
2
+ PDF Chat Local subspace-based outlier detection using global neighbourhoods 2016 Bas van Stein
Matthijs van Leeuwen
Thomas Bäck
2
+ Explaining Deep Convolutional Neural Networks on Music Classification 2016 Keunwoo Choi
George Fazekas
M. Sandler
2
+ Combination of multiple classifiers using local accuracy estimates 1997 K. Woods
W. Philip Kegelmeyer
Kevin W. Bowyer
2
+ Detection of money laundering groups using supervised learning in networks 2016 David Savage
Qingmai Wang
Pauline Chou
Xiuzhen Zhang
Xinghuo Yu
2
+ PDF Chat Speech recognition with deep recurrent neural networks 2013 Alex Graves
Abdelrahman Mohamed
Geoffrey E. Hinton
2
+ Automatic tagging using deep convolutional neural networks 2016 Keunwoo Choi
George Fazekas
M. Sandler
2
+ PDF Chat Feature hashing for large scale multitask learning 2009 Kilian Q. Weinberger
Anirban Dasgupta
John Langford
Alex Smola
Josh Attenberg
2
+ A Fast Algorithm for the Minimum Covariance Determinant Estimator 1999 Peter J. Rousseeuw
Katrien Van Driessen
2
+ Interpreting and Unifying Outlier Scores 2011 Hans‐Peter Kriegel
Peer Kröger
Erich Schubert
Arthur Zimek
2