Fei Xia

feixia at stanford.edu [Github] [Google Scholar]

About me

I am a second year PhD student at Department of Electrical Engineering, Stanford University. I am supervised by Silvio Savarese in CVGL/SVL. I also collborate with Leo Guibas, James Zou and David Tse on various projects. My research interests lie in Computer Vision (3D Vision in particular) and Applied Machine Learning.

Education

Aug. 2016 - Present, Department of Electrical Engineering, Stanford University,

PhD Student.

Aug. 2012 - Jul. 2016, Department of Automation Tsinghua University,

Bachelor of Engineering.

Aug. 2014 - Dec. 2014, Department of Electrical and Computer Engineering, Georgia Institute of Technology,

Exchange Student.

July. 2015 - Sept. 2015, Department of Electrical Engineering, Stanford University,

Visiting Researcher.

Publications and Manuscripts

  • Fei Xia*, Martin Zhang*, James Zou, David Tse. NeuralFDR: learning decision threshold from hypothesis features. To appear on NIPS 2017. [pdf TBA] [code TBA]

  • Govinda M Kamath*, Ilan Shomorony*, Fei Xia*, Thomas A Courtade, David Tse. HINGE: long-read assembly achieves optimal repeat resolution. [pdf] [code] Genome Research Vol 27 2017.

  • Ilan Shomorony, Govinda M Kamath, Fei Xia, Thomas A Courtade, David Tse. Partial DNA assembly: a rate-distortion perspective. [pdf] ISIT 2016.

(*Equally contributed to the project and alphabetically listed)

Honors and Awards

  • 2016 Stanford Graduate Fellowship (Michael J. Flynn Fellow), Stanford University
  • 2015 Chang Jiong Scholarship (Highest honor in Dept. of Automation, 1/560)
  • 2014 Fang Chongzhi Scholarship (Highest honor in Dept. of Automation, 1/560)
  • 2014 China Scholarship Council Excellent Undergraduate Fellowship

Press Coverage