Xiyang Hu

Carnegie Mellon University

Pittsburgh, PA

United States

http://www.andrew.cmu.edu/user/xiyanghu/

SCHOLARLY PAPERS

6

DOWNLOADS

793

SSRN CITATIONS
Rank 40,656

SSRN RANKINGS

Top 40,656

in Total Papers Citations

23

CROSSREF CITATIONS

0

Ideas:
“  1. the design of ML/DL models and systems to improve accuracy/efficiency/interpretability/fairness.2. the adaptation of state-of-the-art models in solving various problems with social and business applications.3. the understanding of the social and economic impacts of AI and digital platforms. https://scholar.google.com/citations?user=-UT6q2oAAAAJ  ”

Scholarly Papers (6)

1.

Human-Algorithmic Bias: Source, Evolution, and Impact

Number of pages: 48 Posted: 29 Aug 2022 Last Revised: 22 Dec 2022
Xiyang Hu, Yan Huang, Beibei Li and Tian Lu
Carnegie Mellon University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management and Department of Information Systems, Arizona State University
Downloads 286 (200,111)

Abstract:

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Algorithmic Bias, Human Bias, Machine Learning, Structural Modeling, Micro-lending

2.

Inclusive Decision Making via Contrastive Learning and Domain Adaptation

Number of pages: 38 Posted: 05 Jul 2023
Xiyang Hu, Yan Huang, Beibei Li and Tian Lu
Carnegie Mellon University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - H. John Heinz III School of Public Policy and Management and Department of Information Systems, Arizona State University
Downloads 177 (313,159)
Citation 1

Abstract:

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Contrastive Learning, Domain Adaptation, Fairness, FinTech, Inclusion, Representation Bias

3.

Optimal Sparse Decision Trees

Advances in Neural Information Processing Systems (NeurIPS), 2019
Number of pages: 28 Posted: 07 Oct 2020
Xiyang Hu, Cynthia Rudin and Margo Seltzer
Carnegie Mellon University, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 165 (332,916)
Citation 4

Abstract:

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Decision tree, Optimization, Interpretable models, Fairness

4.

COPOD: Copula-Based Outlier Detection

2020 IEEE International Conference on Data Mining (ICDM)
Number of pages: 6 Posted: 22 Mar 2021
Northeastern University-Toronto, Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy, Potsdam-Institut für Klimafolgenforschung (PIK), Deggendorf Institute of Technology and Carnegie Mellon University
Downloads 61 (651,141)

Abstract:

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Outlier Detection, Anomaly Detection, Fraud Detection, Copula, Risk Management

5.

ADBench: Anomaly Detection Benchmark

Advances in Neural Information Processing Systems (NeurIPS), 2022
Number of pages: 18 Posted: 06 Dec 2022
affiliation not provided to SSRN, Carnegie Mellon University, Shanghai University of Finance and Economics, affiliation not provided to SSRN and Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy
Downloads 59 (661,839)

Abstract:

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Anomaly Detection, Outlier Detection

6.

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

Number of pages: 13 Posted: 04 Jan 2023
Northeastern University-Toronto, Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, Potsdam-Institut für Klimafolgenforschung (PIK), Deggendorf Institute of Technology and Carnegie Mellon University - H. John Heinz III College of Information Systems and Public Policy
Downloads 45 (746,291)

Abstract:

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Outlier Detection, Anomaly Detection, Distributed Learning, Scalability, Empirical Cumulative Distribution Function