I am a third year PhD candidate at Department of Electrical Engineering, Stanford University. I am co-advised by Silvio Savarese
and Leo Guibas
. I have
collborated with James Zou
and David Tse
on various projects. My research interests lie in
Computer Vision (3D Vision in particular) and Applied Machine Learning.
2018.4 We will host a demo for Gibson Env at CVPR'18. Come and check it out!
2018.2 One paper accepted to CVPR'18 (spotlight).
2017.11 New NIPS and Bioinformatics papers' pdf versions are available.
Publications and Manuscripts
Fei Xia*, Amir R. Zamir*, Zhiyang He*, Alexander Sax, Jitendra Malik, Silvio Savarese. Gibson Env: Real-World Perception for Embodied Agents.
CVPR 2018 (spotlight). [pdf] [code] [project]
Fei Xia*, Martin Zhang*, James Zou, David Tse. NeuralFDR: learning decision threshold from hypothesis features.
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