Hanbin Yang

Hanbin Yang

Research Fellow at HKUST Business School

Academic

Research Interests

Optimization under uncertainty, stochastic mixed-integer programming, decomposition methods, and AI-based algorithm design for power system applications.

Publications

Selected publications are listed below in the same format as the original publications page.

Multistage stochastic program for mitigating power system risks under wildfire disruptions

Published in Electric Power Systems Research, 2024

A multistage stochastic programming model for resilient power system operation under wildfire disruptions.

Recommended citation: H-B. Yang, N. Rhodes, H. Yang, L. Roald, and L. Ntaimo. (2024). “Multistage stochastic program for mitigating power system risks under wildfire disruptions.” In Proceedings of the 23rd Power Systems Computation Conference (PSCC 2024), Electric Power Systems Research, 234:110773.
Download Paper | Download Slides

Multi-Period Power System Risk Minimization Under Wildfire Disruptions

Published in IEEE Transactions on Power Systems, 2024

A multistage stochastic optimization framework for reducing wildfire-related operational risks in power systems.

Recommended citation: H-B. Yang, N. Rhodes, H. Yang, L. Roald, and L. Ntaimo. (2024). “Multi-Period Power System Risk Minimization Under Wildfire Disruptions.” IEEE Transactions on Power Systems, vol. 39, no. 5, pp. 6305-6318, Sept. 2024.
Download Paper | Download Slides

Working Papers

  1. H-B. Yang, L. Yang, J. Pan, Y. Wang. "Reinforcement Learning for Branch-and-Cutting-Plane-Tree in Mixed-Integer Programming." Submitted.
  2. H-B. Yang, H. Yang. "Globally Converging Algorithm for Multistage Stochastic Mixed-Integer Programs via Enhanced Lagrangian Cuts." Submitted to Operations Research. [Optimization-Online]
  3. Y. Zhou, Y. Xia, H-B. Yang, and T. Morstyn. "Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity." Minor revision in INFORMS Journal on Computing (IJoC). [arXiv]
  4. Y. Zhou, H-B. Yang, and T. Morstyn. "Faster Inner Convex Approximation to Wasserstein Joint Chance Constrained Power System Dispatch." Submitted to IEEE Transactions on Power Systems. [arXiv]
  5. H-B. Yang, H. Yang. "Disjunctive Benders Cuts in Multistage Stochastic Mixed-Integer Programming."

Invited Talks

  1. "Multi-period Power System Risk Minimization under Wildfire Disruptions": INFORMS Annual Meeting (Online, 2022); IEEE Student Association at CUHKSZ (Shenzhen, 2023).
  2. "Enhancement Techniques for Lagrangian Cut": Alibaba DAMO Academy (Hangzhou, 2022); International Conference on Stochastic Programming (Davis, 2023).
  3. "Multistage Stochastic Program for Mitigating Power System Risks under Wildfire Disruptions": INFORMS Annual Meeting (Phoenix, 2023, Session Chair); PSCC 2024 (Paris, 2024); INFORMS Annual Meeting (Seattle, 2024).
  4. "Efficient Cutting-Plane Methods for Multistage Stochastic Mixed-Integer Programming": ISMP 2024 (Montreal, 2024); ORSC Annual Conference (Beijing, 2024); International Conference on Stochastic Programming (Paris, 2025); The 2nd Management Forum (Xi'an, 2025).
  5. "Globally Converging Algorithm for Multistage Stochastic Mixed-Integer Programs": INFORMS Annual Meeting (Seattle, 2024, Session Chair); Global Forum for Young Mathematicians (Shenzhen, 2025).

Academic Services

  • Session Chair: INFORMS Annual Meeting (2023, 2024)
  • Reviewer: Power Systems Computation Conference (PSCC)
  • Reviewer: IEEE Transactions on Energy Markets, Policy, and Regulation
  • Reviewer: Automatica
  • Reviewer: Electric Power Systems Research

Awards

  • Duan Yongping Travel Award for Outstanding Research, CUHKSZ (2023)
  • Award for Outstanding Graduates, SUSTech (2020)
  • Scholarship for Outstanding Students, SUSTech (2017, 2018)