2024.1 I serve as an area chair of the first Conference of Language Modeling, consider submitting your work there.
2023.10 See my guest lecture at Stanford CS25 for a quick overview of my work.
2023.3 PaLM-E is out - a 562B general purpose Embodied Vision-Language Model.
2023.1 5 papers accepted to ICRA 2023, including NLMap-SayCan, and Code as Policies.
2022.9 4 papers accepted to CoRL 2022.
2022.8 Checkout our latest release of PaLM-SayCan, a method that ground natural language in robotic affordances.
2021.9 2 papers accepted to CoRL 2021.
2021.7 2 papers accepted to IROS 2021.
2021.5 I defended my PhD Thesis titled "Large Scale Simulation for Embodied Perception and Robot Learning".
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).
Aug. 2016 - Sept. 2021, Department of Electrical Engineering, Stanford University, PhD.
Aug. 2012 - Jul. 2016, Department of Automation Tsinghua University, Bachelor of Engineering.
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]
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.