Fei Xia
About me
I am a fifth-year PhD candidate at the Department of Electrical Engineering, Stanford University. I am co-advised by
Silvio Savarese in
SVL and
Leo Guibas. I am supported by
Stanford Graduate Fellowship and
Qualcomm Innovation Fellowship. During my PhD, I have done research internships with
Dieter Fox at Nvidia, and
Alexander Toshev and
Brian Ichter at Google. I obtained my bachelor's degree from Tsinghua University in 2016.
Research Interest
My mission is to build intelligent embodied agents that can interact with complex and unstructured real-world environments, with applications to home robotics. I approach this problem from 3 aspects: 1) Large scale and transferrable simulation for Robotics. 2) Learning algorithms for long-horizon tasks. 3) Combining geometric and semantic representation for environments.
News:
2020.12 The wait is over! iGibson v1.0 was released! It comes with many new features and fully interactive environments, checkout the website for more details.
2020.4 iGibson was released! It is a large scale interactive environment for robot learning.
2020.3 I am co-hosting CVPR Challenge "Sim2Real Challenge with Gibson". It is the first Sim2Real challenge in CVPR.
2019.7 AdaFDR was accepted to Nature Communications.
2019.5 Will Shen and I won Qualcomm Innovation Fellowship as a team. Thank you Qualcomm!
2019.5 AdaFDR won best paper award at RECOMB2019.
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).
Education
Selected Publications
[full list]
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Fei Xia*, Chengshu Li*, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese (2020). ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. (under review)
[pdf][project]
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Bokui Shen*, Fei Xia*, Chengshu Li*, Roberto Martín-Martín*, Linxi Fan, Guanzhi Wang, Shyamal Buch, Claudia D'Arpino, Sanjana Srivastava, Lyne P. Tchapmi, Micael E. Tchapmi, Kent Vainio, Li Fei-Fei, Silvio Savarese. iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes. (under review)
[pdf][project]
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Fei Xia, William B Shen, Chengshu Li, Priya Kasimbeg, Micael Edmond Tchapmi, Alexander Toshev, Roberto Martín-Martín, Silvio Savarese. Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments. ICRA20 + RAL.
[pdf][project]
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Noriaki Hirose, Fei Xia, Roberto Martín-Martín, Amir Sadeghian,
Silvio Savarese (2019). Deep Visual MPC-Policy Learning for Navigation. IEEE Robotics and Automation Letters .
[pdf][project]
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Noriaki Hirose,Amir Sadeghian, Fei Xia, Roberto Martín-Martín, Silvio Savarese. (2019). VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera. IEEE Robotics and Automation Letters.
[pdf][project]
Fei Xia*, Amir R. Zamir*, Zhiyang He*, Alexander Sax, Jitendra Malik, Silvio Savarese. Gibson Env: Real-World Perception for Embodied Agents.
CVPR 2018 (spotlight, Nvidia Pioneer Research Award). [pdf] [code] [project]
Fei Xia*, Martin Zhang*, James Zou, David Tse. NeuralFDR: learning decision threshold from hypothesis features.
NIPS 2017. [pdf] [code]
Previous Computational Biology papers
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Martin J. Zhang, Fei Xia, James Zou, "AdaFDR: a Fast, Powerful and Covariate-Adaptive Approach to Multiple Hypothesis Testing", Preliminary version selected as Best Paper Award of RECOMB 2019, also in Nature Communications, 2019. [pdf] [software] [code to reproduce the paper]
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.
[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.)
Honors and Awards
- 2019 Qualcomm Innovation Fellowship
- 2019 RECOMB Best Paper Award
- 2018 Nvidia Pioneer Research Award at CVPR
- 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
Teaching Experiences
Press Coverage