Jiawei Fu

9500 Gilman Drive

La Jolla, CA 92093

I will be joining Amazon FAR for summer internship from June to September!

I am a Ph.D. student in Computer Science and Engineering at UC San Diego, where I am advised by Prof. Henrik Christensen. I also collaborate closely with Prof. Haoshu Fang and was previously advised by Prof. Hao Su. Prior to UCSD, I earned my M.Sc. in Robotics, Systems, and Control from ETH Zurich and my B.Eng. in Mechanical Engineering (Elite Program) from Tsinghua University.

I was was also a research assistant at EPFL (24 Spring) and did my research intern at MPI-INF (22 Spring).

Research Interest: My research interests focus on the intersection of Robotics and Maching Learning. I’m particularly interested in developing data collection systems for diverse robots and enabling efficient learning for robot manipulation.

Publications

CORL

LodeStar: Long-horizon Dexterity via Synthetic Data Augmentation from Human Demonstrations

Weikang Wan^*, Jiawei Fu^*, Xiaodi Yuan, Yifeng Zhu, and Hao Su

In 9th Annual Conference on Robot Learning, 2025

PDF Website

ECCV

How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology

Andrei Atanov^*, Jiawei Fu^*, Rishubh Singh^*, Isabella Yu, Andrew Spielberg, and Amir Zamir

In European Conference on Computer Vision, 2024

Bib PDF Poster Website

@inproceedings{atanov2024far,
  title = {How Far Can a 1-Pixel Camera Go? Solving Vision Tasks Using Photoreceptors and Computationally Designed Visual Morphology},
  author = {Atanov, Andrei and Fu, Jiawei and Singh, Rishubh and Yu, Isabella and Spielberg, Andrew and Zamir, Amir},
  booktitle = {European Conference on Computer Vision},
  pages = {458--476},
  year = {2024},
  organization = {Springer},
}

IROS

Learning deep sensorimotor policies for vision-based autonomous drone racing

Jiawei Fu, Yunlong Song, Yan Wu, Fisher Yu, and Davide Scaramuzza

In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Bib PDF

@inproceedings{fu2023learning,
  title = {Learning deep sensorimotor policies for vision-based autonomous drone racing},
  author = {Fu, Jiawei and Song, Yunlong and Wu, Yan and Yu, Fisher and Scaramuzza, Davide},
  booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {5243--5250},
  year = {2023},
  organization = {IEEE},
}