Curriculum Vitae

Education

• Ph.D. in Data Science, The Chinese University of Hong Kong, Shenzhen, 2020-2025 (expected)
  • Advisor: Prof. Haoxiang Yang
• B.S. in Statistics, Southern University of Science and Technology, 2016-2020
• Summer Exchange Program, Georgia Institute of Technology, Summer 2018

Work experience

• Research Visitor at Cornell Tech, Cornell University, Summer 2023
  • Mentors: Dr. Rui Chen and Prof. Andrea Lodi
• Research Intern at Alibaba DAMO Academy, June 2022 - Oct. 2022
  • Mentors: Dr. Guanglei Wang and Mou Sun

Publications

Multistage stochastic program for mitigating power system risks under wildfire disruptions

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.

Multi-Period Power System Risk Minimization Under Wildfire Disruptions

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.

Preprints

1. H-B. Yang, L. Yang, J. Pan, Y. Wang. “Reinforcement Learning for Branch-and-Cutting-Plane-Tree in Mixed-Integer Programming,” submitted.
2. Y. Zhou, Y. Xia, H-B. Yang, and T. Morstyn. “Strengthened and Faster Linear Approximation to Joint Chance Constraints with Wasserstein Ambiguity,” submitted.[arXiv]
3. H-B. Yang, H. Yang. “Globally Converging Algorithm for Multistage Stochastic Mixed-Integer Programs via Enhanced Lagrangian Cuts,” submitted.[Optimization-Online]
4. H-B. Yang, H. Yang. “Improving Benders Cuts via Disjunctive Programming in Multistage Stochastic Mixed-Integer Programming.”
5. H-B. Yang, H. Yang, B. Pagnoncelli. “Contextual Chance-Constrained Optimization for Optimal Power Flow.”

Invited talks

1. H-B. Yang, N. Rhodes, H. Yang, L. Roald, L. Ntaimo., “Multi-period Power System Risk Minimization under Wildfire Disruptions”:
   • INFORMS Annual Meeting, Online, Oct. 6th, 2022.
   • IEEE Student Association at CUHKSZ, Shenzhen, Guangdong, Sept. 22nd, 2023.
2. H-B. Yang, H. Yang, “Enhancement Techniques for Lagrangian Cut”:
   • Alibaba DAMO Academy, Hangzhou, Zhejiang, Sept. 23rd, 2022.
   • International Conference on Stochastic Programming, Davis, CA, July 17th, 2023.
3. H-B. Yang, N. Rhodes, H. Yang, L. Roald, L. Ntaimo., “Multistage Stochastic Program for Mitigating Power System Risks under Wildfire Disruptions”:
   • INFORMS Annual Meeting, Phoenix, AZ, October 15th, 2023 (Session chair).
   • 23rd Power Systems Computation Conference (PSCC 2024), Paris, France, June 6th 2024.
   • INFORMS Annual Meeting, Seattle, Oct. 23rd, 2024.
4. H-B. Yang, H. Yang, “Efficient Cutting-Plane Methods for Multistage Stochastic Mixed-Integer Programming”:
   • 25th International Symposium on Mathematical Programming, Montreal, Canada, July 25th, 2024.
   • Operations Research Society of China, Beijing, Sept. 14th, 2024.
   • International Conference on Stochastic Programming, Paris, France, July 29th, 2025.
5. H-B. Yang, H. Yang, “Globally Converging Algorithm for Multistage Stochastic Mixed-Integer Programs via Enhanced Lagrangian Cuts”:
   • INFORMS Annual Meeting, Seattle, Oct. 21st, 2024 (Session chair).

Teaching

Instructor at CUHKSZ

1. Probability and Statistics (Summer 2022, 2023, 2024)

Teaching Assistant at CUHKSZ

1. DDA6112 Stochastic Optimization (Spring 2024)
2. MFE5100 Optimization (Spring 2022)
3. MAT3007 Optimization (Fall 2021, 2022)
4. STA4005 Survival Analysis (Spring 2021)
5. STA4001 Stochastic Processes (Fall 2020)

Teaching Assistant at SUSTech

1. Linear Regression (Fall 2019)
2. Multivariate Regression Analysis (Spring 2020)

Awards

1. Duan Yongping Travel Award for Outstanding Research, 2023

2. Outstanding students, SUSTech, 2017, 2018

Service

Session Chair for:

• INFORMS Annual Meeting (2023, 2024)

Reviewer for

• Power System Computation Conference (PSCC)
• IEEE Transactions on Energy Markets, Policy, and Regulation
• Automatica

Skills

• Technical: Optimization, linear/integer/stochastic programming, statistical analysis, stochastic analysis, simulation implementation, SQL.
• Programming Language: Julia, Python, R, MATLAB
• Software: Gurobi