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Guyue Zhou  Associate Professor

Dr. Guyue Zhou is currently an associate professor at Institute for AI Industry Research (AIR) and School of Vehicle and Mobility, Tsinghua University, leading AIR DISCOVER Lab. He also now serves as the chief scientist of DISCOVER Robotics, an academic consultant for RoboMaster University Championship and associate editors for IEEE T-CSVT&IET Smart Cities. Dr. Zhou earned his Ph.D. at the Hong Kong University of Science and Technology (HKUST) in 2014 under the supervision of Prof. Zexiang Li, who is famous as a world-class robotic scientist and a hardcore technology entrepreneurial mentor.

Dr. Zhou was a former executive team member of Da-Jiang Innovation (DJI) with expertise in computer vision and robotics. He joined DJI in early 2012, founded and led teams of computer vision, intelligent manufacturing, entry-level consumer drone, and STEAM education. Dr. Zhou and his team delivered world's first consumer visual navigation system and received the exclusive Grand Prize of Guangdong Science and Technology Progress Award in 2019. He has published more than 80 research papers and over 80 granted patents. Relevant technologies are used in all series of DJI's drone products, which are sold to more than 100 countries all over the world. Dr. Zhou was in charge of intelligent robotic products with a cumulative 5 million shipments. His palm-size drone product "Spark" amazed the world with its innovative HCI design, and was ranked at the 4th place in Time magazine's "10 Best Gadgets of 2017", surpassing Amazon Echo and Apple Watch. Dr. Zhou's team completed upgrading DJI factory's quality control system with digital and intelligent technology, by developing smart and flexible manufacturing devices and a cooperative multi-agent system for self-calibration during fully autonomous flight.

In early 2020, Dr. Zhou was named in Shenzhen's leading talent program. He joined AIR, Tsinghua University as a founding faculty at Nov 2020 and founded AIR DISCOVER Lab, exploring research areas of advanced manufacturing, intelligent robot, computer vision and HMI/HCI. In 2021, Dr. Zhou was selected as MIT TR35 Asia-Pacific.

Email address:

zhouguyue@air.tsinghua.edu.cn

Education:

2010-2014 Ph.D. , Dept. Electronic and Computer Engineering, The Hong Kong University of Science and Technology

2006-2010 B.E. , Dept. of Control Science and Engineering, Harbin Institute of Technology

Career:

since 2020 Associate Professor, Institute for AI Industry Research and School of Vehicle and Mobility, Tsinghua University

2012-2020 Executive Team & Scientist, Da-Jiang Innovations (DJI)

Research Interests:

Advanced Manufacturing, Robotics, Computer Vision, and Human-Machine (Computer) Interaction


Teaching:

Introduction to Intelligent System: Design and Practice, Summer Semester

From Intelligent Drones to Flying Cars: Design and Practice, Fall Semester

Intelligent Construction with Building Blocks: Principle and Practice (Embodied AI Part), Spring Semester

Research Values:

Value the industry impact instead of academic statistics

Value the rational validation instead of academic benchmarks

Value the problem-solving instead of academic SOTA

Reference Standards for Ph.D. Student (2 enrollments per year):

Align with and practice the above research values, and provide factual evidence in the personal statement

Handle coursework with ease and achieve a top10% GPA in a top15 mainland university, demonstrating excellent exam-taking ability

Submit at least 1 top-conference-level paper (first author), showing the capability to conduct research

Have experience as a main contributor in national awards of hardcore competitions (ICPC/RM/RC/NUEDC ...) or world-class products (such as Insta 360 Go2), demonstrating strong engineering practice and the ability to solve practical problems

Long-term Recruitment in AI and Robotics:

Postdoctoral fellows (level at Shuimu scholar / China postdoctoral innovation program)

Research engineers (work experience required in world-class high-tech companies)

Research interns (at least 6+ months, 10+ months is recommended)

Visiting scholars/students (employed/enrolled in world-class universities, research institutions, and high-tech companies)

Selected Publications:

1. Z Wang, Y Jia, L Shi, H Wang, H Zhao, X Li, J Zhou*, J Ma*, G Zhou*. "Arm-Constrained Curriculum Learning for Loco-Manipulation of the Wheel-Legged Robot", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024.

2. Shi Y, Yang R, Wu Z, Li P, Liu C, Zhao H, Zhou G*. "City-scale Continual Neural Semantic Mapping with Three-layer Sampling and Panoptic Representation", Knowledge-Based Systems 284 (2024): 111145.

3. Gao J, Guo H, Cao Z, Huang P, Zhou G*. "Real is Better than Perfect: Sim-to-Real Robotic System in Secondary School Education", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2023.

4. Zhou G, Shang G, Zhang YQ*. "Smart Infrastructure for Autonomous Driving in Urban Areas", Bridge (2023 Spring): 44-50

5. Gao J, Gong J, Zhou G*, Guo H, Qi T. "A Tangible Twin Robot System to Promote STEM Education", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2022.

6. Li Y, Tu Y, Chen X, Zhao H, Zhou G*. "Distance-aware Occlusion Detection with Focused Attention", IEEE Transactions on Image Processing (TIP), 2022, 31: 5661-5676.

7. Zhou G*, Luo L, Xu H*, Zhang X, Guo H, Zhao H. "Brick Yourself within 3 Minutes", IEEE International Conference on Robotics and Automation (ICRA) 2022: 6261-6267.

8. Chen X, Liu T, Zhao H, Zhou G*, Zhang YQ. "Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022: 19649-19658.

9. Zhou G*, Fang L, Tang K, Zhang H, Wang K, Yang K. "Guidance: A Visual Sensing Platform for Robotic Applications", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2015: 9-14.

10. Zhou G, Ye J, Ren W, Wang T, Li Z*. "On-board Inertial-assisted Visual Odometer on an Embedded System", IEEE International Conference on Robotics and Automation (ICRA) 2014: 2602-2608.


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