معرفی
Dr. Xiaohan Yu is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing, joining in December 2023. Previously, he completed his doctoral studies at Griffith University and served as a Research Fellow at the ARC Research Hub for Driving Farming Productivity. His research focuses on Ultra-Fine-Grained Visual Categorization (Ultra-FGVC), Smart Farming, and Automated Crop Cultivar Identification, with over 70 publications in top-tier venues like ICCV, CVPR, and IEEE Transactions. He holds editorial roles at Pattern Recognition and SN Computer Science, and received the APRS Early Career Award (2022) and ACM MM 2024 Outstanding Area Chair distinction.
Education: Completed doctoral studies in Artificial Intelligence at Griffith University, Australia.
Research Interests:
- Ultra-Fine-Grained Visual Categorization (Ultra-FGVC)
- Smart Farming and Agricultural Robotics
- Computer Vision Applications in Healthcare (e.g., trachoma detection)
- Deep Learning, Continual Learning, and Domain Adaptation
Key Contributions: Pioneered Ultra-FGVC research, developed frameworks like Mix-ViT and CLE-ViT, and contributed to benchmarking multi-object tracking in farming. His work bridges pattern recognition with real-world applications in agriculture and healthcare.
Scientific Awards:
- Australian Pattern Recognition Society (APRS) Early Career Researcher Award 2022
- ACM Multimedia 2024 Outstanding Area Chair Award
Advising & Grants: Actively involved in editorial roles (Area Chair for ACM MM, IJCNN) and grant-funded research through ARC hubs. His work is supported by collaborations in agriculture and AI-driven solutions for crop cultivar identification.
Labs & Affiliations: Member of Macquarie's Smart Green Cities Research Centre and Frontier AI Research Centre, advancing interdisciplinary AI applications.
