Fei Xia
feixia at stanford.edu [Github] [Google Scholar]
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.
Outreach
On weekends, depending on availability, I voluntarily host office hours for students (especially underrepresented groups and junior students) who want to get into the field of and develop a career on Machine Learning, Computer Vision, and Robotics. Each slot is 20-minute long. If you want to get advice from me, please fill out this questionnaire.
News:
2021.3 I will join Robotics at Google as a Research Scientist in the Fall.
2021.3 ReLMoGen accepted to ICRA2021.
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
Aug. 2016 - Present, Department of Electrical Engineering, Stanford University,
PhD Candidate.
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.
Selected Publications
[full list]
-
Fei Xia*, Chengshu Li*, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese (2020). ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA2021.
[pdf][project]
-
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]
-
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]
-
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]
-
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
-
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
- Teaching Assistant, CS231N (Spring 2018)
- Teaching Assistant, CS231A (Winter 2017)
Press Coverage
Personal
2021.3 I will join Robotics at Google as a Research Scientist in the Fall.
2021.3 ReLMoGen accepted to ICRA2021.
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
Aug. 2016 - Present, Department of Electrical Engineering, Stanford University,
PhD Candidate.
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.
Selected Publications
[full list]- Fei Xia*, Chengshu Li*, Roberto Martín-Martín, Or Litany, Alexander Toshev, Silvio Savarese (2020). ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation. ICRA2021. [pdf][project]
- 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]
- 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]
- 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]
- 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
-
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.
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
- Teaching Assistant, CS231N (Spring 2018)
- Teaching Assistant, CS231A (Winter 2017)
Press Coverage
Personal
In my spare time, I like to ride bicycles and play guitar. My faviorate dog breed is Siberian Husky.