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Research Areas

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1. AI Synthesis & Probing

Utilizing and developing AI methods to study questions that are difficult to answer with conventional data and approaches. By synthesizing new information and probing complex models, my research seeks to reveal underlying mechanisms, improve inference, and expand what AI can help us understand and accomplish.

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Selected Research

  1. Deepfakes for Good: Empirical Analysis and AI Agentic Framework for Bias Measurement and Mitigation

  2. Estimating Visual Attribute Effects from Observational Data: A Deepfake-Informed Double Machine Learning Approach

  3. DIRECT: Decomposing Audience Preference and Creative Effect in Visual Content Analytics

  4. Human Bias and LLM Performance: Evidence from Stigmatizing Language in EHR Notes​

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2. Digital Platform Economy

Investigating how digital platforms shape economic and social behavior, with a focus on unintended consequences and opportunities to improve platform mechanisms and governance.​

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Selected Research

  1. Social Audience Size as a Reference Point: Evidence from a Field Experiment

  2. Recreational Cannabis Legalization and Illicit Drugs: Drug Usage, Mortality, and Darknet Transactions

  3. The Identity Tax: How Group Identity Disclosure Disproportionately Affects Online Discussions Across Hierarchies

  4. AI Agent Team Design for Dual-Objective Tasks: Evidence from a Large-Scale Field Experiment

Journal Publication

with Wei Chen, Karen Xie

Production and Operations Management, 34(1), 99-119.

with Xingchen Xu, Qili Wang, Liangfei Qiu

Management Science, 72(5), 4298-4318.​

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Preliminary version appears in BBTC 2023 (Miami, FL), CIST 2022 (Indianapolis, IN), POMS 2022 (Virtual).

with Ritu Agarwal, Balaji Padmanabhan

Transactions on Management Information Systems, forthcoming.

with Fangyu Lin, Mohammadreza Ebrahimi, Weifeng Li, Hsinchun Chen

Decision Support Systems, forthcoming

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Preliminary version appears in IEEE Intelligence and Security Informatics (ISI) 2021 (Virtual). Best Paper Award.

Working Papers

Human Bias and LLM Performance: Evidence from Stigmatizing Language in EHR Notes

with Weiguang Wang, Guodong (Gordon) Gao, Ritu Agarwal

Under 3nd-round Major Revision at Management Science

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Preliminary version appears in ICIS 2023 Proceedings (Hyderabad, India), INFORMS 2023 (Phoenix, AZ), POMS 2023 (Orlando, FL), CHITA 2023 (Washington, D.C.).

with Balaji Padmanabhan, Siva Viswanathan

Under 1st-round Major Revision at Information Systems Research

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Preliminary version appears in CIST 2025 (Atlanta, GA), NYU-TAU Workshop (NYC, NY), AI in Business 2025 (Columbus, OH), INFORMS Workshop on Data Science 2025 (Atlanta, GA), Best Student Paper Award. WITS 2025, 3rd Wharton Business & GenAI (San Francisco, CA), POMS 2025 (Atlanta, GA)

Finalist, 2024 UMD Invention of the Year Awards

with Balaji Padmanabhan, Siva Viswanathan

Under 1st-round Major Revision at Management Science

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Preliminary version appears in WISE 2026 (Lisbon, Portugal), DSI 2026 (SF, CA), POM 2026 (Reno, NV)

The Identity Tax: How Group Identity Disclosure Disproportionately Affects Online Discussions Across Hierarchies

with Qili Wang, Xingchen Xu, Wenying Gu, Liangfei Qiu 

Under 1st-round Major Revision at Information Systems Research

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Preliminary version appears in CIST 2024 (Seattle, WA)

Organizing AI Agent Teams for Dual-Objective Tasks: Evidence from a Large-Scale Field Experiment

with Hongchang Wang, Karen Xie, Wei Chen, Dong Jing

Under Review ​

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Preliminary version appears in Philly OTD 2026 (Philadelphia, PA)

DIRECT: Decomposing Audience Preference and Creative Effect in Visual Content Analytics

with Balaji Padmanabhan, Siva Viswanathan

In Preparation for Submission ​ ​

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Preliminary version appears in WITS 2026 (Lisbon, Portugal)

When Machines Persuade Better Than Humans: Generative AI, Cognitive Constraints, and Promotional Effectiveness    

with Wenying Gu, Guohou Shan, Bin Gu

In Preparation for Submission ​

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Preliminary version appears in ICIS 2026 Proceedings (Lisbon, Portugal), CSWIM 2026 (Haikou, China), BizAI 2026 (Dallas, TX), POM 2026 (Reno, NV).

Other Conference Proceedings and Presentations

with Balaji Padmanabhan, Siva Viswanathan

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​NeurIPS Foundations of Agentic Systems Theory (FAST) Workshop

2026, Paris, France

with Balaji Padmanabhan, Siva Viswanathan

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​IEEE Conference on Artificial Intelligence (CAI) 

2026, Granada, Spain

with Fangyu Lin, Mohammadreza Ebrahimi, Zara Ahmad-Post, James Lee Hu, Jingyu Xin, Sagar Samtani, Weifeng Li, Hsinchun Chen

 

International Conference on Data Mining Workshops (ICDMW)

2020, Sorrento, Italy

with Fangyu Lin, Zara Ahmad-Post, Mohammadreza Ebrahimi, Ning Zhang, James Lee Hu, Jingyu Xin, Weifeng Li, Hsinchun Chen

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IEEE International Conference on Intelligence and Security Informatics (ISI) 2020, Arlington, VA

Last Update: Nov 2026

©2026 by Yizhi Liu

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