Akang Wang

I’m Akang Wang, a Research Associate at the Shenzhen Research Institute of Big Data and an Adjunct Assistant Professor in the School of Data Science at CUHK-Shenzhen. I received my PhD in Process Systems Engineering from Carnegie Mellon University in 2020. My research centers on mathematical optimization, spanning theory, algorithms, and applications. I am currently interested in inference optimization for LLMs. My research is supported by National Natural Science Foundation of China, National Key R&D Program of China, and Guangdong Basic and Applied Basic Research Foundation. My work has appeared at leading machine learning conferences, including ICLR, ICML, and NeurIPS. I won first place in the primal track of the NeurIPS 2021 ML2CO Competition and second place in the 2022 INFORMS RAS Problem Solving Competition. I also serve as a reviewer for venues including NeurIPS/ICML/ICLR.

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