About me

My name is Yiyue Chen (陈祎玥) and I obtained my PhD degree at The University of Texas at Austin. My academic track is Decision, Information, and Communications Engineering (DICE) in Electrical and Computer Engineering department and I am part of the Wireless Networking and Communications Group (WNCG). I am fortunate to be supervised by Dr. Haris Vikalo. I received my MSE degree in Electrical and Computer Engineering deparment at UT Austin in 2020 and BS degree in Applied Mathematics from Wuhan University in 2018.

Research Interests

My research interests include distributed optimization, large-scale machine learning and self-supervised learning under resource constraints. I am passionate about developing and understanding machine learning/deep learning algorithms for real world challenges. In particular, my focus is on learning over dynamic networks and heterogeneous-resource agents. When the network is directed and time-varying, I have designed, implemented and analyzed efficient distributed optimization algorithms. In dealing with the resource-heterogeneous clients, I have proposed a unique algorithm that can address multiple resource heterogeneities with both theoretical and experimental demonstration. Moreover, I have extensive industry experience on researching and establishing AI-based solutions to practical problems.

Publications