Haoxiang Yang

Haoxiang Yang is an assistant professor at the School of Data Science, the Chinese University of Hong Kong, Shenzhen. He graduated with a PhD degree from the Department of Industrial Engineering and Management Sciences at Northwestern University.  

Haoxiang's research focuses on the theory of optimization under uncertainty, specifically in stochastic programming and robust optimization, integer programming and nonlinear programming, with its applications in energy systems, supply chain and logistics, disaster relief and sports analytics.

News

• July 2024: I gave a talk at ECSO-CMS 2024, titled "Enhanced Lagrangian Cuts for Stochastic Mixed-Integer Programming."

• June 2024: I gave a talk at the University of Edinburgh, UK, titled "Enhanced Lagrangian Cuts for Stochastic Mixed-Integer Programming."

• August 2023: I was honored to be elected a COSP member. Please let me know if you want to promote stochastic programming in your school!

• May 2023: I gave a talk at Antai College of Economics and Management, Shanghai Jiaotong University.

• June 2022: I hosted a session and give a talk at INFORMS International Conference at Vancouver, Canada. (Talks)

• June 2021: I joined the School of Data Science at the Chinese University of Hong Kong, Shenzhen as an Assistant Professor.