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Cheng Guo (郭成)

Assistant Professor in the School of Mathematical & Statistical Sciences, Clemson University

Research

(*: corresponding author; Underline: student coauthor.)

Publications

  1. “Networked Markets with Production and Edge Capacity Constraints: From Competitive Equilibria To Market Entry”, Cheng Guo, Jiayi Wang, Ozan Candogan, ACM Conference on Economics and Computation (EC), 2026. [longer version]

  2. “Copositive Duality for Discrete Energy Markets”, Cheng Guo*, Merve Bodur, Joshua A. Taylor, Management Science, 2026. [paper][talk][slides (MIP Workshop)]

    • Previous version: “Copositive Duality for Discrete Markets and Games” [preprint][poster]
  3. “Tightening Quadratic Convex Relaxations for the Alternating Current Optimal Transmission Switching Problem”, Cheng Guo*, Harsha Nagarajan, Merve Bodur, INFORMS Journal on Computing, 2026. [paper][slides]

    • Appeared as a featured article in the May-June 2026 issue.
  4. “Risk-Aware Security-Constrained Unit Commitment”, Daniel Bienstock, Yury Dvorkin, Cheng Guo*, Robert Mieth, Jiayi Wang, IEEE Transactions on Energy Markets, Policy, and Regulation, 2024. [paper][talk][slides]

  5. “Generation Expansion Planning with Revenue Adequacy Constraints”, Cheng Guo*, Merve Bodur, Dimitri Papageorgiou, Computers & Operations Research, 2022. [paper][poster]

  6. “Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, Cheng Guo*, Merve Bodur, Dionne Aleman, David Urbach, INFORMS Journal on Computing, 2021.[paper][poster]

Preprints

  1. “Pricing Discrete and Nonlinear Markets With Semidefinite Relaxations”, Cheng Guo, Lauren Henderson, Ryan Cory-Wright, Boshi Yang. [preprint]

  2. “Incentivizing Investment and Reliability: A Study on Electricity Capacity Markets”, Cheng Guo, Christian Kroer, Yury Dvorkin, Daniel Bienstock. [preprint][slides]

Ph.D. Thesis

  • “Optimization Models and Algorithms for Nonconvex Planning, Pricing and Operational Problems in Power Systems and Energy Markets”, 2021.[paper]


Code, Data and Online Supplements

  • Code for “Tightening Quadratic Convex Relaxations for the AC Optimal Transmission Switching Problem”, by Guo, Nagarajan, Bodur: [Code]

  • Online supplements for “Generation Expansion Planning with Revenue Sufficiency Constraints”, by Guo, Bodur, and Papageorgiou: [DataExplanation][AdditionalFigures].

  • Data for “Logic-based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling”, by Guo, Bodur, Aleman, and Urbach: [DataExplanation][Dataset].