CV
Basics
| Name | Yuhui Chen |
| chen.yuhui.t@gmail.com | |
| Phone | +86 13610020598 |
Education
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2022.09 - 2027.06 Beijing, China
Chinese Academic of Science, Institution of Automation
Ph.D degree, supervised by Dongbin Zhao
Deep Reinforcement Learning and robot control
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2020.07 - 2022.05 Canberra, Australia
Australian National University
Upper Second Class Honours Bechalor Degree
Electronics and Communication Engineering, GPA: 4.0/4.0
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2019.09 - 2022.06 Beijing, China
Beijing Institute of Technology
Bechalor Degree, Honors Graduate
Information Engineering, GPA: 3.3/4.0
Experience
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2021.10 - 2022.03 Shenzhen, China
Dajiang Innovations Technology Co., Ltd (DJI)
MCU embedded engineer in R&D Center, Flight Dept.
- Developed drivers for chips using I2C, SPI, and other protocols, including charging chips, Hall joysticks, and IMUs.
- Developed an RTOS-based embedded system to meet business requirements.
- Design an arbiter that mimics RTOS priority rules to streamline warning prompts for clear logic.
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2020.11 - 2021.07 Beijing, China
Institute of Automation, Chinese Academy of Sciences
Research Intern
- Developed a RTOS-based program for multi-task handling on a robot.
- Implemented Yolov3 for armor detection and tracking on Xavier.
- Implemented a Kalman filter for real-time multi-sensor data fusion to achieve accurate robot positioning.
Awards
- 2024.05
AAMAS-24 Scholarship [$1000]
ACM Special Interest Group on Artificial Intelligence (ACM SIGAI)
- 2022.06
Xuteli Graduates Award
Beijing Institute of Technology (Top 5%)
- 2022.03
1st prize in RoboMaster University AI Challenge (RMUA) China and 2nd prize in RMUA Global
DJI RoboMaster Organizing Committee and the IEEE International Conference on Robotics and Automation
- 2019.06
Xuteli Scholarship [$1500]
Beijing Institute of Technology (Top 3%)
Publications
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2024.09 Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
NIPS 2024, poster
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2024.07 TeViR: Text-to-Video Reward with Diffusion Models for Efficient Reinforcement Learning
Under review, submitted to IEEE TSMC
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2024.05 Boosting continuous control with consistency policy
AAMAS 2024, oral speech
Skills
| Programming | |
| Python / Pytorch, Jax | |
| C/C++, ROS | |
| ARMv7-M Assembly | |
| MATLAB |
| Software | |
| VSCode, Keil, vim, Gazebo, Anaconda | |
| Verilog HDL | |
| SOLIDWORKS for 3D printing |
Languages
| Chinese Mandarin | |
| Native speaker |
| English | |
| Fluent, 96 of TOEFL in Jun 2021 |
| Chinese Cantonese | |
| Basic |
Interests
| Photography | |
| Aerial Photography | |
| FPV drone |
| Sport | |
| Basketball, American Football | |
| Bicycle | |
| Skateboard, Ski |
| Travel | |
| Motorcycle touring | |
| Mountain Climbing. Summitted 6178 Meters Yuzhu Peak/Sob Gangri on 12th Jul 2019 |