I received the B.E, degree in mechanical engineering and automation from Beihang University, Beijing, China in 2017. Currently, I am working towards a M.E. degree in the Robotics Institute, Beihang University. My research interests include intelligent Robotics, haptics and human-robot interaction. Meanwhile, I work as an intern in video research group, Megvii Technology (Face ++) from Sep, 2018 to now. My research revolves around computer vision and deep learning here, mainly looking to explore new method to tackle vehicle re-identification problem.
[Sep 2017 - Jun 2020] Robotics Institute, Beihang University
M.Eng, Human-machine Interaction Laboratory, State Key Laboratory of Virtual Reality Technology and Systems. Advisors: Yuru Zhang
Do research in haptic human-robot interaction, GPA: 3.81/4.0
[Sep 2013 - Jun 2017] School of Mechanical Engineering and Automation, Beihang University
B.Eng, Major in Mechatronics, Ranking 7/209, GPA: 3.7/4.0
[Feb 2017 - May 2017] Politecnico di Torino
Exchange study
[August 2016 - December 2016] Seoul National University, HKUST, Tsinghua University
Visiting study
[Sep 2018 - now] Megvii Technology (Face++)
Work with Dr. Chi Zhang
Do research in re-identification tasks, especially in vehicle re-identification.
[July 2018 - Sep 2018] Yizhun-ai Technology
Do engineering projects for thick lung nodule detection.
[July 2018 - Aug 2018] Deecamp
Become one of 300 selected candidates from 7000 applicants to join the Deecamp AI summer camp sponsored by Dr.Kai-Fu Lee and Peking University. Do engineering projects for human flow tracking and win the 2nd prize among 28 groups.
[Mar 2018 - Jul 2018] Sohu
Do engineering projects to help develop Sohu News Client. 1、Deep aesthetic quality assessment. 2、Head image cropping based on object detection. 3、Web crawler system building.
Vehicle Re-identification with Viewpoint-aware Metric Learning
Ruihang Chu, Yifan Sun, Yadong Li, Zheng Liu, Chi Zhang*, Yichen Wei.
Accepted by ICCV2019
- The first work to propose a challenging problem, i.e., the extreme viewpoint variation (up to 180 degrees) in vehicle re-identification.
- Tackle the proposed problem from a new perspective.
- Achieve the state-of-the-art performance in two public dataset: VehicleID and Veri776.
Co-actuation: A Method for Achieving High Stiffness and Low Inertia for Haptic Devices
Ruihang Chu, Yuru Zhang, Hongdong Zhang, Dangxiao Wang*, Weiliang Xu, Jee-Hwan Ryu.
Accepted by IEEE Transactions on Haptics(JIF=2.757). Annual Best Paper Candidate.
- It is difficult to stimulate hard contact and small inertia simultaneously in virtual environment for haptic device.
- Introduce a co-actuation module to overcome this difficulty.
- Demonstrate the effectiveness of co-actuation on a 2-DOF haptic device.
- The device can render a virtual wall with the stiffness as high as 65N/mm. The effective inertia is 35-145g.
A Haptic Device with High stiffness and Low Inertia Based on Co-actuation Principle
Ruihang Chu, Yuru Zhang*, Hongdong Zhang, Dangxiao Wang
Accepted by Annual Conference of Chinese Robotics Society
(The mechanism was authorized by Chinese Patent: ZL 2016 1 0941924.0, 2017)
- Introduce a 3-DOF haptic device named DentalTouch to provide both high stiffness and low inertia.
- Describe the design of prototype, the modeling of the effective inertia and the control scheme.
- The device can render a virtual wall with the stiffness as high as 67N/mm. The effective inertia is 180-201g.
An Intuitional End-to-End Human-UAV Interaction System for Field Exploration
Ran Jiao*, Zhaowei Wang, Ruihang Chu, Mingjie Dong, Yongfeng Rong, Wusheng Chou
Submitted to Frontiers in Neurorobtics(JIF=3.000).
- Exploit the deep human pose estimation to guide human-drone interaction in the wild.
- Fit the network to mobile settings and achieve realtime interaction.
- Robust to the disturbance from wilderness environment.
Human Flow Tracking System (Team Leader)
[Demo]
We develop a real-time software system for human flow tracking. It can be applied in new retail industry. The technologies involve pedestrian detection, re-identification and multiple object tracking.
IJCAI-19 Alibaba Adversarial AI Challenge
We implement PNASNet-5 as backbone and adopt CosFace to improve recognition performance. We train our defense model at the presence of adversarial samples generated by fast gradient sign method. Moreover, we re-detect the objects with a tighter bbox to overcome the disturbance from the background. We rank 36th among 2520 teams in the finals (1.4%).
An Intelligent Robot Based on Ros and Android System (Team Leader)
[Code]
[Demo]
We propose to replace the expensive sensors by one android phone when making intelligent robot. Equipped with our provided robot chassis and software system, any Android owner has access to develop his/her personal robot. We believe it makes developing robots more approachable for robot fans. Specifically, we obtain the measured data from phone sensors, processing the data with ROS and delivering it to STM32, which serves as the controller. Finally, our robot integrates functions such as object tracking, speech recognition and grabbing. This project won the first prize in China Intelligent Product Design Competition in 2015.
Control the 3-DOF worktable through a Kinect (Team Leader)
[Code]
[Demo]
We develop a mechatronic system based on Kinect and 3-DOF worktable. The system obtains the real-time position of human key points from Kinect, and then records the trajectory of human hands.The trajectory can be converted to the G code file (the command in numerically controlled machine) through CAM software. To make it understandable, our plug-in component interprets the G code and guides the 3-DOF worktable to draw the same trajectory.
China University Robot Competition
We develop two automatic robots which work cooperatively to overrun obstacles and climb the final pillar. We won the 3rd prize in national finals.
A New Wall-climbing Robot
When I was a visiting student in Seoul National University, HKUST and THU, we propose a new mechanism that enable robots to walk on the ground and climb the wall. We combine the wheel and paddle in one component. The novel scheme works theoretically yet needs further experimental verification. This project was reported by "I have heirlooms", the CCTV show, in Jul 16, 2017.
2017 Beihang Outstanding Graduates
2016 The Third Prize of "National College Robot Competition"
2015 The Third Prize of "National College Robot Competition"
2015 The First Prize of "China Intelligent Product Design Competition"
2015 "Three-Good" Student of Beihang University
2018 The Second Prize of Beihang Postgraduate Students Scholarship
2017 The First Prize of Beihang Postgraduate Students Scholarship
2016 The First Prize of "AVI Industry" Scholarship
2015 The Second Prize of "OuPai" Scholarship
2015 The First Prize of Beihang "Science and Technology Innovation" Scholarship
2015 The Second Prize of Beihang "Learning Excellence" Scholarship
2014 The First Prize of "Timken" Scholarship
2013 The Second Prize of "OuPai" Scholarship