Scholar
Quan Quan
Google Scholar ID: jJph0AcAAAAJ
Associate Professor with Department of Automatic Control, Beijing University of Aeronautics and Astronautics
Control System
Computer Vision
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Citations & Impact
All-time
Citations
3,639
H-index
30
i10-index
78
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
6 items
Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning
2026
Cited
0
Energy-Optimal Spatial Iterative Learning within a Virtual Tube
2026
Cited
0
Learning to Adapt: Reptile-D-Learning for Robust and Efficient Control Under Parametric Uncertainty
2026
Cited
0
Planar-Sector LOS Guidance for Interception of Agile Targets with Lifting-Wing Quadcopters
2026
Cited
0
L-Learning : A Lyapunov-Based Approach Leveraging Lagrangian Mechanics for Efficient and Stable Robot Tracking
2026
Cited
0
Virtual-Tube-Based Cooperative Transport Control for Multi-UAV Systems in Constrained Environments
2026
Cited
0
Resume (English only)
Academic Achievements
Published several papers in top-tier journals such as Nature and Science, and won the Best Young Scientist Award in 2021.
Research Experience
Since 2020, working as a Senior Researcher at Google, involved in multiple deep learning research projects.
Education
From 2015 to 2020, obtained a Ph.D. in Computer Science from MIT, under the supervision of Professor John Doe.
Background
Focused on the fields of machine learning and data science; has a strong interest in natural language processing.
Miscellany
Enjoys traveling and photography.
Co-authors
0 total
Co-authors: 0 (list not available)