RESEARCH & PUBLICATIONS

Research Areas

Studying the design, operations, regulation, and evolution of business systems in the AI era.　All Publications → Research Awards →

AI Systems and Engineering

Applying economic modeling and optimization to AI systems, with a focus on demand estimation, prediction and causal inference, economic simulation, self-evolving algorithms, and multi-agent collaboration, validated in retail, hospitality, and delivery settings.

• From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models

• From Small to Large: A Graph Convolutional Network Approach for Solving Assortment Optimization Problems

• Booking Funnel and Substitution-Aware User Behavior Modeling for Demand Prediction and Joint Room Pricing

Economic Modeling and Algorithms

Starting from consumer choice and market behavior, I study nonparametric demand estimation, recommendation, pricing, auctions, and matching, using parsimonious models to improve industry algorithms and establish performance guarantees.

• Assortment Optimization with Downward Feasibility: Efficient Heuristics Based on Independent Demands

• Prophet Inequalities with Stochastic Choices

• RCS Approximations for Assortment Optimization with Sequential Consumer Behavior

Market Mechanisms and Regulation

Using economic and game-theoretic models to examine how privacy protection, fair pricing, advertising information, and energy regulation shape competition, business decisions, and social welfare.

• Fairness Regulation of Prices in Competitive Markets

• Regulating Discriminatory Pricing in the Presence of Tacit Collusion

• Position Auctions with Endogenous Product Information: Why Live-Streaming Advertising Is Thriving

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