Feng Gao (高枫)

Feng Gao's Portrait 

3rd-year Master student
Department of Electronic Engineering
Tsinghua University

Email: gao-f19@mails.tsinghua.edu.cn

Room 502, Building 2, Shuangqing Mansion,
Beijing, China.

Find me at My Blog or:

googlescholar github linkedin facebook


Recent News
  • [10/2021] I was admitted by IIIS of Tsinghua University as an incoming PhD student (from Fall 2022)!

  • [07/2021] Ranked 1st in iGibson Social Navigation Challenge, CVPR 2021!

  • [10/2020] One paper got accepted by CoRL’2020!

  • [07/2019] I received my B.Eng and will continue my M.Eng in Tsinghua University, advised by Prof. Yu Wang.

  • [09/2018] I was admitted by Tsinghua University as an incoming Master student (from Fall 2019)!

About me

I'm a 3rd-year Master student in the Department of Electronic Engineering of Tsinghua University, advised by Prof. Yu Wang. Previously, I received my bachelor degree of Electronic Engineering from Tsinghua University in 2019.

I worked in SPMI Lab in 2017, advised by Prof. Zhijian Ou, and in FIB Lab in 2018, advised by Prof. Yong Li. In 2018 Summer, I was fortunate to be a Research & Development intern at Momenta, working on the construction of the autonomous driving simulation system. Since September 2018, I have been working in the Robot Group of NICS-EFC Lab, advised by Prof. Yu Wang.

I'm interested in the interacting area of Deep Learning, Reinforcement Learning, and Robotics, such as Neural SLAM and Visual Navigation, as well as their efficient applications.

Education

Work Experience

Publications

Conference

  1. Towards Visual Social Navigation in Photo-realistic Indoor Scenes,
    Feng Gao, Hengshuang Zhao, Yu Wang,
    under review.

  2. Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes,
    Feng Gao, Jincheng Yu, Hao Shen, Yu Wang, Huazhong Yang,
    in the 4th Conference on Robot Learning (CoRL’20), 2020. (paper)

  3. CNN-based Monocular Decentralized SLAM on embedded FPGA,
    Jincheng Yu, Feng Gao, Jianfei Cao, Chao Yu, Zhaoliang Zhang, Zhengfeng Huang, Yu Wang and Huazhong Yang,
    in the Reconfigurable Architectures Workshop (RAW’20) of the 35th IEEE International Parallel & Distributed Processing Symposium (IPDPS’20), 2020. (paper)

  4. Angular Softmax Loss for End-to-End Speaker Verification (Best Student Paper Award),
    Yutian Li, Feng Gao, Zhijian Ou, Jiasong Sun,
    in the 11th International Symposium on Chinese Spoken Language Processing (ISCSLP’18), 2018. (paper)