Akang Wang

Hello, I’m Akang Wang, a Research Scientist at Shenzhen Research Institute of Big Data and an Adjunct Assistant Professor at CUHK-Shenzhen’s School of Data Science. I received my PhD in Process Systems Engineering from Carnegie Mellon University in 2020. My current research focuses on integer programming, learning to optimize, and grid optimization. My research is supported by National Natural Science Foundation of China, National Key R&D Program of China, Guangdong Basic and Applied Basic Research Foundation, etc. I have published journal/conference papers in ICLR/ICML/NeurIPS, etc. I won the first place in the primal track of NeurIPS 2021 ML2CO competition and the second place in the 2022 RAS Problem Solving Competition of INFORMS. Besides, I serve as reviewers for NeurIPS/ICLR/MPC etc.

In this website, you can know more about my research and experience. Also, please feel free to check out my Google Scholar and LinkedIn.