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Mochen Yang
Mochen Yang
Associate Professor, University of Minnesota
Verified email at umn.edu - Homepage
Title
Cited by
Cited by
Year
Understanding User-Generated Content and Customer Engagement on Facebook Business Pages
M Yang, Y Ren, G Adomavicius
Information Systems Research, 2018
1952018
Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated Via Data Mining
M Yang, G Adomavicius, G Burtch, Y Ren
Information Systems Research, 2018
882018
When Algorithms Err: Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms
A Kim, M Yang, J Zhang
Available at SSRN, 2020
142020
Integrating behavioral, economic, and technical insights to understand and address algorithmic bias: a human-centric perspective
G Adomavicius, M Yang
ACM Transactions on Management Information Systems (TMIS) 13 (3), 1-27, 2022
13*2022
Achieving reliable causal inference with data-mined variables: A random forest approach to the measurement error problem
M Yang, E McFowland III, G Burtch, G Adomavicius
INFORMS Journal on Data Science 1 (2), 138-155, 2022
82022
Engagement by Design: An Empirical Study of the “Reactions” Feature on Facebook Business Pages
M Yang, YC Ren, G Adomavicius
ACM Transactions on Computer-Human Interaction (TOCHI), 2020
82020
Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions
G Adomavicius, A Gupta, M Yang
MIS Quarterly, 2019
62019
Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation
X Bi, A Gupta, M Yang
Management Science, 2023
52023
Relationship Between Online and Offline Social Capital: Evidence from a Social Network Site in China.
M Yang, X Guo
WHICEB, 86, 2013
5*2013
Judge me on my losers: Do robo‐advisors outperform human investors during the COVID‐19 financial market crash?
CW Liu, M Yang, MH Wen
Production and Operations Management 32 (10), 3174-3192, 2023
4*2023
Welfare and fairness dynamics in federated learning: A client selection perspective
Y Travadi, L Peng, X Bi, J Sun, M Yang
arXiv preprint arXiv:2302.08976, 2023
42023
Consumer acquisition for recommender systems: A theoretical framework and empirical evaluations
X Bi, M Yang, G Adomavicius
Information Systems Research, 2023
22023
Bidder support in multi-item multi-unit continuous combinatorial auctions: A unifying theoretical framework
G Adomavicius, A Gupta, M Yang
Information Systems Research 33 (4), 1174-1195, 2022
22022
Toward a Comprehensive Understanding of User-Generated Content and Engagement Behavior on Facebook Business Pages
M Yang
University of Minnesota, 2018
22018
Human-AI Co-Creation in Product Ideation: the Dual View of Quality and Diversity
W Wang, M Yang, T Sun
Available at SSRN 4668241, 2023
12023
Efficient Computational Strategies for Dynamic Inventory Liquidation
M Yang, G Adomavicius, A Gupta
Information Systems Research, 2019
1*2019
What, Why, and How: An Empiricist's Guide to Double/Debiased Machine Learning
B Shi, X Mao, M Yang, B Li
Debiased Machine Learning (December 27, 2023), 2023
2023
Algorithmic Governance of Two-Sided Platforms: the Case of Short Video Recommendation
J Zhang, M Yang, X Bi, Q Wei
Available at SSRN, 2023
2023
Bidder support in multi-item multi-unit combinatorial auctions
A Gupta, G Adomavicius, M Yang
US Patent App. 17/952,896, 2023
2023
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference
G Burtch, E McFowland III, M Yang, G Adomavicius
arXiv preprint arXiv:2303.02820, 2023
2023
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