Kun Yuan


      Kun Yuan (袁 坤)

      Assistant Professor, Center for Machine Learning Research, Peking University

      Email: kunyuan AT pku.edu.cn

      CV / Google scholar

I am an Assistant Professor at Center for Machine Learning Research (CMLR) in Peking University.

My research lies in the theoretical and algorithmic foundations in optimization, signal processing, machine learning, and data science. I currently focus on the development of fast, scalable, reliable, and distributed algorithms with applications in large-scale optimization, deep neural network training, federated learning, and Internet of things.

Before joining Peking University, I was a staff algorithm engineer in the Decision Intelligence Lab in Alibaba (US) Group led by Prof. Wotao Yin. I completed my Ph.D. in Electrical and Computer Engineering from University of California, Los Angeles (UCLA) in 2019 under the supervision of Prof. Ali H. Sayed. I was a visiting researcher at École Polytechnique Fédérale de Lausanne (EPFL) from 2018 January to 2018 June, and a research intern at Microsoft Research Redmond from 2018 June to 2018 October.

I was the recipient of the 2017 IEEE Signal Processing Society Young Author Best Paper Award (joint with Dr. Wei Shi), and the 2017 ICCM Distinguished Paper Award.

We have opennings for PostDocs, PhD students, Master students, and Undergraduate research interns. Drop me an email if you are interested in machine learning, optimization, and AI systems.