Feng Gao (高枫)

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:

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

• M.Eng in Electronic Engineering                                   2019 – 2022 (Expected)
  EE Department, Tsinghua University, Beijing, China
  Advisor: Prof. Yu Wang

• B.Eng in Electronic Engineering                                     2015 – 2019
  EE Department, Tsinghua University, Beijing, China
  Advisor: Prof. Yu Wang

Work Experience

• Research Assistant @ Tsinghua University                    Sep. 2018 – Now
  Energy Efficient Computing Group, Advisor: Prof. Yu Wang

• Research & Development Intern @ Momenta               Apr. 2018 – Aug. 2018
  Simulation Group, Mentor: Zizhe Xu

• Research Assistant @ Tsinghua University                    Apr. 2018 – Aug. 2018
  Future Communications & Internet Lab, Advisor: Prof. Yong Li

• Research Assistant @ Tsinghua University                    Apr. 2017 – Mar. 2018
  Speech Processing and Machine Intelligence Lab, Advisor: Prof. Zhijian Ou

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)