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

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

  • December 2021: I will give a talk on DRO in distribution networks under stochastic disruptions on December 3rd at Zhejiang University (Online). Tencent Meeting No. 125318244.

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

  • January 2021: I gave a talk on DRO in distribution networks under stochastic disruptions at LANL Grid Science Winter School. (Slides)

  • November 2020: I gave a talk on stochastic disruptions in infrastructure systems and project management problem at UCLA CEE Seminar.

  • November 2020: I gave a talk at the virtual INFORMS Annual Meeting, on distributional network optimization under stochastic disruptions (Talk 1). My collaborator, Jinzhu Yu, will give a talk on our joint work on interdependent network resilience optimization (Talk 2).