Yiheng An

Yiheng An

PhD Student @ Warrington College of Business, University of Florida

Research

Working Papers

“Personalized Real-Time Incentives for Customer Service Agents: A Decision Support System”, with Jia Li and Yong Tan, Major Revision, Available at SSRN.

Conference Proceedings (Peer-Reviewed)

“Human Oversight in Action: Designing Risk-Aware AI Systems for Employee Incentive Planning”, Yiheng An, Jia Li, Fan Yang, Jiawei Zhang. The 1st Workshop on the Challenges for Human Oversight of AI Systems, ACM Conference on Intelligent User Interfaces, Paphos, Cyprus. March 2026.

“IMPACT: An Inference-Driven Modeling Framework for Cost-Effective Incentive Allocation in Service Operations”, Yiheng An, Jia Li, Jeffrey D. Camm, Liang Hu, Qinqin Zhuge, Bingxin Jia. The 3rd Workshop on Causal Inference and Machine Learning in Practice, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, ON, Canada. August, 2025.

Research Presentations

“Integrated Intelligence in Action: Designing Personalized Real-Time Incentives for Customer Service Agents”, Conference on Artificial Intelligence, Machine Learning, and Business Analytics, New York, NY. December, 2025.

“Personalized Real-Time Incentives for Customer Service Agents: An Intelligent Decision-Support System”, Conference on Information Systems and Technology (CIST), Atlanta, GA. October, 2025.

“IMPACT: An Inference-Driven Modeling Framework for Cost-Effective Incentive Allocation in Service Operations”, the 3rd Workshop on Causal Inference and Machine Learning in Practice, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, ON, Canada. August, 2025.

“Smart Incentive Compensation: Designing Employee Bonuses Using Machine Learning and Analytics”, Annual POMS Conference, Atlanta, GA. May, 2025.

“Smart Incentive Compensation: Designing Employee Bonuses Using Machine Learning and Analytics”, Annual Meeting of Southeast Decision Sciences Institute (SEDSI), Greenville, SC. January, 2025.

“Smart Incentive Compensation: Designing Employee Bonuses Using Machine Learning and Analytics”, School of Business, Wake Forest University, Winston Salem, NC. November, 2024.