Dr. Wei Yu

Assistant Professor Master Supervisor 

Email: weiyu@cityu.edu.mo 

Tel: (853)8590 2340 

Office address: Room S502, Stanley Ho Building, City University of Macau (Taipa) 

Personal Homepage

https://godvey.github.io/

Educational qualifications

2024 Ph.D. in Aerospace Science and Technology, Sun Yat-sen University, Guangzhou, China

2020 M.Eng. in Surveying and Mapping Engineering, Sun Yat-sen University, Guangzhou, China

2017 B.Eng. in Remote Sensing Science and Technology, China University of Geosciences, Wuhan, China

Incumbent

Assistant Professor, Faculty of Data Science, City University of Macau

Courses taught

BCS014 Human-Computer Interaction

BCS005 Introduction to Computer Science

BIT040 Artificial Neural Networks

BIT036 Visualization and Computer Graphics

BIT018 Data Mining

Research direction

Cooperative Formation Control and UAV Applications

Swarm Intelligence: Decision, Planning and Control

Low-altitude Situational Awareness

Geospatial Information Intelligence

Research and publishing

（Corresponding author：Yu, W* , Co-first author：Yu, W^#）

1. Yi, P., Xie, J., Yu, W., Zhu, B., Hu, T., & Huang, D. (2026). Affine Formation Maneuver Control for Gate-traversing Drone Swarms: Algorithm and Application. International Journal of Micro Air Vehicles. (Q2, accepted)

2. Jin, J., Yu, W*., Zhan, W., & Li, J. (2026). A Partial-Perception-Driven Three-Layer Formation Framework for UAV Swarm. International Conference on Guidance, Navigation, and Control, Springer. (CAA Category A, accepted)

3. Dai, Z., Yu, W*., Yu, J., & Li, Z. (2026). Memory-Augmented Affine Formation Control for UAV Swarms Using Historical Velocity Commands. IEEE Data Driven Control and Learning Systems Conference, IEEE. (CAA Category A, accepted) [Best Paper Award Finalist]

4. Gu, Z., Yu, W*., Gong, Y., & Wang, M. (2026). Altitude Control of a UAV Swarm Based on Historical Acceleration Commands. IEEE Data Driven Control and Learning Systems Conference. IEEE. (CAA Category A, accepted)

5. Zhan, W., Yu, W^#., Wang, Y., Hu, T., & Zhu, B. (2024). E-GNN: An Enhanced Method for Multi-Object Tracking with Collective Motion Patterns. IEEE Robotics and Automation Letters, 9(4), 3403-3410. (Q1)

6. Yu, W., Zhu, B., Wang, X., Yi, P., Liu, H., & Hu, T. (2023). Enhanced affine formation maneuver control using historical velocity command (HVC). IEEE Robotics and Automation Letters, 8(11), 7186-7193. (Q1)

7. Yu, W., Yi, P., Zhu, B., Liu, H., & Hu, T. (2023). Enhanced affine formation maneuver control using historical acceleration command. International Journal of Robust and Nonlinear Control, 33(18), 11458-11480. (Q1) [Front Cover Article]

8. Wu, Q., Yu, W., Zhang, Q., & Zhu, B. (2022). Identification and Experimental Comparison of the Speed-Control Loop Model of a Small Quadrotor. Youth Academie Annual Conference of Chinese Association of Automation, YAC. (CAA Category A)

9. Ma, X., Wang, H., Yu, W., Du, Y., Liang, J., Hu, H., Qiu, S., & Liu, L. (2021). Analysis on the hotspot and conservation gaps of bird biodiversity in Guangdong Province based on MaxEnt model. Biodiversity Science, 29(8): 1097. (EI)

Patents

1. A Method and Apparatus for Identifying the Velocity Control Loop Model of an Unmanned Aerial Vehicle (UAV), Chinese Invention Patent, 3rd Inventor, Publication No. CN114879510B.

Research project

1. Cooperative maneuver control of UAVs for cross-region tasks, Science and Technology Development Fund (FDCT) of Macao, Principal Investigator, 2025.12 – 2027.12

2. Bird-Swarm-Inspired Autonomous Control for UAV Swarms in Mountainous Search and Rescue, General Program of the National Natural Science Foundation of China (NSFC), Participant, 2025 – 2028

3. Design and Application of Dual-Type Safety Envelopes for UAV Swarm Systems, General Program of the National Natural Science Foundation of China (NSFC), Participant, 2024 – 2027

4. Learning-based Control for Ground-Vision-Guided UAV Approach and Landing, General Program of the National Natural Science Foundation of China (NSFC), Participant, 2020 – 2023

5. National Science and Technology Innovation Project, Focus: Optimization and Scenario Application of Swarm Collaborative Algorithms, Participant, 2023.01 – 2024.12

6. National Science and Technology Innovation Project, Focus: Bio-inspired Swarm Algorithm Design and Task Transfer, Participant, 2020.09 – 2022.12

7. National Science and Technology Innovation Project, Focus: Cloud-based Deployment and Implementation of Swarm Algorithms, Participant, 2020.09 – 2022.12

8. National Science and Technology Innovation Project, Focus: Adaptation of Swarm Algorithms to Dual-Type Robotic Platforms, Participant, 2020.09 – 2022.12

9. National Science and Technology Innovation Project, Focus: Mechanism Analysis and System Integration of Swarm Algorithms, Participant, 2020.09 – 2022.12

Academic Awards

Best Paper Award Finalist (Top 2%): The 15th IEEE DDCLS, 2026.

Professional Affiliations

Member: CAA, CCF, IEEE, IEEE CSS, IEEE RAS