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Mochen Yang
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2020 – today
- 2024
- [j11]Xuan Bi, Mochen Yang, Gediminas Adomavicius:
Consumer Acquisition for Recommender Systems: A Theoretical Framework and Empirical Evaluations. Inf. Syst. Res. 35(1): 339-362 (2024) - [j10]Xuan Bi, Alok Gupta, Mochen Yang:
Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation. Manag. Sci. 70(8): 4974-4994 (2024) - [j9]Xiaoye Cheng, Hillol Bala, Mochen Yang:
Engaging Users on Social Media Business Pages: The Roles of User Comments and Firm Responses. MIS Q. 48(2): 731-748 (2024) - [i3]Jinghui Zhang, Dandan Qiao, Mochen Yang, Qiang Wei:
Regurgitative Training: The Value of Real Data in Training Large Language Models. CoRR abs/2407.12835 (2024) - 2023
- [j8]Antino Kim, Mochen Yang, Jingjing Zhang:
When Algorithms Err : Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms. ACM Trans. Comput. Hum. Interact. 30(1): 1-36 (2023) - [i2]Yash Travadi, Le Peng, Xuan Bi, Ju Sun, Mochen Yang:
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective. CoRR abs/2302.08976 (2023) - 2022
- [j7]Gediminas Adomavicius, Alok Gupta, Mochen Yang:
Bidder Support in Multi-item Multi-unit Continuous Combinatorial Auctions: A Unifying Theoretical Framework. Inf. Syst. Res. 33(4): 1174-1195 (2022) - [j6]Gediminas Adomavicius, Mochen Yang:
Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective. ACM Trans. Manag. Inf. Syst. 13(3): 34:1-34:27 (2022) - [c2]Sojung Yoon, Mani Subramani, Gauri Subramani, Mochen Yang:
The Effect of Peer-to-Peer Tangible Donation on Users' Engagement in Online Community Platform. ICIS 2022 - 2020
- [j5]Mochen Yang, Yuqing Ren, Gediminas Adomavicius:
Engagement by Design: An Empirical Study of the "Reactions" Feature on Facebook Business Pages. ACM Trans. Comput. Hum. Interact. 27(6): 43:1-43:35 (2020) - [i1]Mochen Yang, Edward McFowland III, Gordon Burtch, Gediminas Adomavicius:
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem. CoRR abs/2012.10790 (2020)
2010 – 2019
- 2019
- [j4]Mochen Yang, Gediminas Adomavicius, Alok Gupta:
Efficient Computational Strategies for Dynamic Inventory Liquidation. Inf. Syst. Res. 30(2): 595-615 (2019) - [j3]Mochen Yang, Yuqing Ren, Gediminas Adomavicius:
Understanding User-Generated Content and Customer Engagement on Facebook Business Pages. Inf. Syst. Res. 30(3): 839-855 (2019) - [j2]Gediminas Adomavicius, Alok Gupta, Mochen Yang:
Designing Real-Time Feedback for Bidders in Homogeneous-Item Continuous Combinatorial Auctions. MIS Q. 43(3) (2019) - 2018
- [j1]Mochen Yang, Gediminas Adomavicius, Gordon Burtch, Yuqing Ren:
Mind the Gap: Accounting for Measurement Error and Misclassification in Variables Generated via Data Mining. Inf. Syst. Res. 29(1): 4-24 (2018) - 2013
- [c1]Mochen Yang, Xunhua Guo:
Relationship Between Online and Offline Social Capital: Evidence from a Social Network Site in China. WHICEB 2013: 86
Coauthor Index
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