I am a second year PhD student at Department of Electrical Engineering, Stanford University. I am supervised by Silvio Savarese
/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.
Publications and Manuscripts
Fei Xia*, Martin Zhang*, James Zou, David Tse. NeuralFDR: learning decision threshold from hypothesis features.
To appear on NIPS 2017. [pdf] [code]
Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang. Chromatin accessibility prediction via a hybrid deep convolutional neural network
Bioinformatics. [pdf] [code]
Govinda M Kamath*, Ilan Shomorony*, Fei Xia*, Thomas A Courtade, David Tse. HINGE: long-read assembly achieves optimal repeat resolution.
Genome Research Vol 27 2017.
Ilan Shomorony, Govinda M Kamath, Fei Xia, Thomas A Courtade, David Tse. Partial DNA assembly: a rate-distortion perspective.
(*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