Yadan Luo
Scholar

Yadan Luo

Google Scholar ID: 3IfL11AAAAAJ
ARC DECRA and Senior Lecturer, University of Queensland
Generalization3D VisionAutonomous Driving
Citations & Impact
All-time
Citations
2,718
 
H-index
29
 
i10-index
50
 
Publications
20
 
Co-authors
8
list available
Resume (English only)
Academic Achievements
  • Recipient of the Google PhD Fellowship in Machine Learning, UQ Foundation Research Excellence Award, ICT Young Achiever Award, and several Best Paper Awards. Serves as Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and is a member of the organizing committee for ACM Multimedia (MM’24) and The Web Conference 2025 (WWW’25).
Research Experience
  • Senior Lecturer and ARC Discovery Early Career Researcher Awardee (DECRA) at the School of Electrical Engineering and Computer Science, The University of Queensland. Serves as an Area Chair for CVPR/NeurIPS/ICLR/ICML and ACM Multimedia. Actively involved in collaborative research projects with industry and government, translating core machine learning innovations into domains such as digital manufacturing, road infrastructure, and intelligent transportation systems.
Education
  • PhD in Computer Science from The University of Queensland (2021), supervised by Prof Helen Huang and Dr Mahsa Baktashmotlagh; Bachelor of Computer Science with Honours from Yingcai Honors College at UESTC
Background
  • Research interests: robust machine learning and open-world 3D vision, with a particular focus on test-time generalization under imperfect or inexact data conditions. Aims to develop learning systems that are not only theoretically grounded but also capable of delivering reliable performance in dynamic, real-world environments.
Miscellany
  • Actively contributes to the academic and professional community, writes conference memos, and shares experiences.