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About Me
About Me
Hi! My name is Xiang Cheng; I usually go by Charlie. I am a Ph.D. student in Information Systems at Robert H. Smith School of Business, University of Maryland, College Park.
Research Interests
Research Interests
My research interests primarily focus on economic impacts and business applications of generative AI.
Methodologies: Causal Inference, Machine Learning, Large Language Models, Analytical Modeling, Experiment
Education
Education
Robert H. Smith School of Business, University of Maryland, College Park
Ph.D. in Information Systems 2024 - present
New York University
Visiting Student 2023 fall
School of Business, Renmin University
BBA, Financial Management 2020 - 2024
Research
Research
Working Paper
Working Paper
Xiang Cheng and Wen Wang. (How) Can LLMs Enhance Privacy Research? [Paper Link]
Major Revision at Management Science
2025 INFORMS Annual Meeting; 2025 INFORMS Workshop on Data Science; 2025 ICIS
Xiang Cheng and Manmohan Aseri. Incentive Issues in Developing Factual LLMs.
Major Revision at Information Systems Research
2025 BizAI; 2025 AI at Wharton [Presentation]; 2025 WITS; UMD Faculty-Student Research Award
Xiang Cheng, Raveesh Mayya, and João Sedoc. To Err Is Human; To Annotate, SILICON? Reducing Measurement Error in LLM Annotation. [Paper Link]
2024 WITS; 2025 BizAI; 2025 SCECR; 2025 NYU Workshop; 2025 CIST; 2025 AI/ML; 2025 WISE
Xiang Cheng, Wen Wang, and Anindya Ghose. LLMs for Explainable Business Decision-Making: A Reinforcement Learning Fine-Tuning Approach.
2025 CIST; 2025 INFORMS Workshop on Data Science
Xiang Cheng and Manmohan Aseri. Breaking Collusion with Consumer AI.
2025 AI/ML
Work-in-Progress
Work-in-Progress
The Economics of LLM Training on Publisher Content. Joint work with Manmohan Aseri, Siva Viswanathan, and Esther Gal-Or.
Xiang Cheng and Eaman Jahani. AI‐Assisted Group Decision Making.
Xiang Cheng, Raveesh Mayya, Lanfei Shi, and Shun Ye. Support or Setback? Unpacking the Impact of the Small Business Badge.
2024 WISE
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