(Image courtesy: MFO, August 2015)

Yuejie Chi
Assistant Professor
Department of Electrical and Computer Engineering
Department of Biomedical Informatics
The Ohio State University

I am an assistant professor in the Dept. of Electrical and Computer Engineering and in the Dept. of Biomedical Informatics at The Ohio State University since Fall 2012.

I completed my Ph.D. in Electrical Engineering from Princeton University in 2012, where I was fortunate to work with Prof. Robert Calderbank. I received a M.A. in Electrical Engineering from Princeton University in 2009, and a B.Eng. in Electronic Engineering from Tsinghua University in 2007. I interned at Mitsubishi Electric Research Lab at Cambridge, MA in Summer 2011, and at Qualcomm Inc. at San Diego, CA in Summer 2010. I was also a visiting scholar at Stanford University, Duke University and Colorado State University.

My research is motivated by the challenge of efficiently extracting information embedded in a large amount of data. I am interested in the mathematics of data representation that take advantage of structures and geometry to minimize complexity and improve performance. I have received a couple of awards for my work, including the Young Investigator Awards from AFOSR and ONR, Ralph E. Powe Junior Faculty Enhancement Award from ORAU, Google Faculty Research Award, IEEE Signal Processing Society Young Author Best Paper Award, an IEEE ICASSP Best Student Paper Award, among others. Here is my CV.

I have an Erdos number of 3.


  • Jun. 2016: My student Jiaqing Huang has successfully defended his Ph.D. dissertation! Here is a poster he presented at the John D. and Alice Nelson Kraus Memorial Student Poster Competition on our work of super-resolution imaging for single-molecule fluorescence microscopy.

  • Apr. 2016: New paper "Provable Non-convex Phase Retrieval with Outliers: Median Truncated Wirtinger Flow" has been accepted to ICML 2016.

  • Mar. 2016: The slides for our tutorial at ICASSP on ``Convex Optimization Techniques for Super-resolution Parameter Estimation" is available here.

  • Starting January 2016, I become an elected member to the IEEE Machine Learning and Signal Processing (MLSP) Technical Committee and the IEEE Signal Processing Theory and Methods (SPTM) Technical Committee.


I am looking for highly-motivated Ph.D. students, postdoctoral researchers, and visiting scholars to join our research group. Prior research experiences on compressed sensing, optimization, statistical signal processing, and related fields are desirable. Please send me an email along with your CV if you are interested. However, I apologize in advance that I am not able to reply to all inquiries.


  • Office: Dreese Lab 606

  • Office hour for spring 2016: 2-4pm, every Wednesday

  • Mailing address: 2015 Neil Avenue, Columbus OH 43210

  • Email: chi dot 97 at osu dot edu