Yen-Huan Li (2018)

Research Interests:

  • High-dimensional statistics
  • Machine learning
  • Convex optimization
  • Classical and quantum information theories


I received a B.S.E. degree in Electrical Engineering with a minor in Economics in 2008, and an M.S. degree in Communication Engineering in 2010, both from National Taiwan University. I served in the R.O.C. Army as a signal platoon leader from 2010 to 2011. I was a research assistant at the Research Center for Information Technology Innovation, Academia Sinica, from 2011 to 2012. Since 2012, I have been a doctoral assistant at EPFL, advised by Prof. Volkan Cevher. My research topics revolve around high-dimensional statistical data analysis. Yen-Huan was a PhD student at LIONS from September 2013 to August 2018. His PhD theses entitled Learning without Smoothness and Strong Convexity was supervised by Professor Cevher

Publications with LIONS (most recent)

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

D. J. Klionsky; A. K. Abdel-Aziz; S. Abdelfatah; M. Abdellatif; A. Abdoli et al. 

Autophagy. 2021-01-01. Vol. 17, num. 1, p. 1-382. DOI : 10.1080/15548627.2020.1797280.

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Y-H. Li; V. Cevher 

Journal of Optimization Theory and Applications. 2019. Vol. 181, p. 588–607. DOI : 10.1007/s10957-018-1428-9.

Learning without Smoothness and Strong Convexity

Y-H. Li / V. Cevher (Dir.)  

Lausanne, EPFL, 2018. 

Learning-Based Compressive MRI

B. Gözcü; R. Karimi Mahabadi; Y-H. Li; E. Ilıcak; T. Çukur et al. 

IEEE Transactions On Medical Imaging. 2018. Vol. 37, num. 6, p. 1394-1406. DOI : 10.1109/TMI.2018.2832540.

Learning-based subsampling

V. Cevher; Y-h. Li; I. Bogunovic; L. Baldassarre; J. Scarlett et al. 

US10082551; US2017109650.