Mochen Yang
Contact
Education:
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Ph.D. 2018University of Minnesota
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B.A. 2013Tsinghua University
Expertise:
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Business Analytics
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Machine Learning
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Social Media
Biography
I am an Associate Professor in the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota.
My main research revolves around the topic of algorithmic decision-making and consists of three connected streams. In the first stream of work, I study the problem of designing theoretically robust and computationally efficient algorithms and strategies to support decision-making in information-intensive marketplaces. In the second stream of work, I examine the antecedents of algorithmic decision-making as well as its impact on decision quality, fairness, and privacy. In the third stream of work, I design novel approaches to draw robust statistical inference with variables generated by machine learning algorithms.
Before joining Carlson, I was an Assistant Professor in the Department of Operations and Decision Technologies at Kelley School of Business, Indiana University. I received my Ph.D. from the Department of Information and Decision Sciences at Carlson School of Management, University of Minnesota. My dissertation studies the user-generated content and associated user engagement behavior on company-managed social media pages. I obtained my bachelor’s degree in Information Systems Management from the School of Economics and Management at Tsinghua University.
Selected Works & Activities
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Journal ArticlesUnderstanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation. Xuan Bi, Alok Gupta, Mochen Yang. Management Science, forthcoming
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Journal ArticlesUser Engagement on Social Media Business Pages: The Interplay between User Comments and Firm Responses. Xiaoye Cheng, Hillol Bala, Mochen Yang. MIS Quarterly, forthcoming
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Journal ArticlesJudge Me on My Losers: Does Adaptive Robo-Advisors Outperform Human Investors during the COVID-19 Financial Market Crash? Che-Wei Liu, Mochen Yang, Ming-Hui Wen. Production and Operations Management, forthcoming
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Journal ArticlesConsumer Acquisitions for Recommender Systems: A Theoretical Framework and Empirical Evaluations. Xuan Bi, Mochen Yang, Gediminas Adomavicius. Information Systems Research, forthcoming
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Journal ArticlesWelfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang. Statistics and Its Interface, forthcoming
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Journal ArticlesWhen Algorithms Err: Differential Impact of Early vs. Late Errors on Users’ Reliance on Algorithms. ACM Transactions on Computer-Human Interaction (TOCHI), 30(1), 1-36
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Journal ArticlesAchieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. INFORMS Journal on Data Science, 1(2), 115-195
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Journal ArticlesIntegrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective. ACM Transactions on Management Information Systems (TMIS), 2022.
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Journal ArticlesBidder Support in Multi-Item Multi-Unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework. Gediminas Adomavicius, Alok Gupta, Mochen Yang. Information Systems Research, forthcoming
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Journal ArticlesEngagement by Design: An Empirical Study of the “Reactions” Feature on Facebook Business Pages. Mochen Yang, Yuqing Ren, Gediminas Adomavicius. ACM Transactions on Computer-Human Interaction (TOCHI), 2020
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Journal ArticlesDesigning Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions. Gediminas Adomavicius, Alok Gupta, Mochen Yang. MIS Quarterly, 43(3), 721-743, 2019.
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Journal ArticlesEfficient Computational Strategies for Dynamic Inventory Liquidation. Mochen Yang, Gediminas Adomavicius, Alok Gupta. Information Systems Research, 30(2), 595-615, 2019.
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Journal ArticlesMind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining. Mochen Yang, Gediminas Adomavicius, Gordon Burtch, Yuqing Ren. Information Systems Research, 29(1), 4-24, 2018.
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Journal ArticlesUnderstanding User-Generated Content and Customer Engagement on Facebook Business Pages. Mochen Yang, Yuqing Ren, Gediminas Adomavicius. Information Systems Research, 30(2), 839–855, 2019