Litao Yu

Litao Yu is a Part-Time Lecturer and Visiting Scholar at the Faculty of Engineering and Information Technology, University of Technology Sydney. Concurrently, he serves as a Senior Data Analyst at Australia's Department of Agriculture, Fishery and Forestry. His academic appointments include Research Fellow at UTS (2019-2024) and post-doctoral positions at Griffith University and Queensland University of Technology.

Education:

• PhD from The University of Queensland (2013-2016)
• MPhil from Dalian University of Technology (2009-2012)
• BSc from Dalian Maritime University (2003-2007)

Dr. Yu's research focuses on computer vision and machine learning with applications in agriculture, multimedia systems, and multimodal learning. His work spans few-shot learning, semantic segmentation, fine-grained recognition, and multimodal fusion techniques. Key application domains include animal welfare monitoring, aquaculture quality control, and travel information enhancement.

His publications demonstrate strong thematic convergence around efficient visual recognition systems, with recurring focus on few-shot learning paradigms and attention mechanisms. Recent work shows increasing emphasis on agricultural applications of computer vision, including poultry monitoring, fish processing automation, and sheep tracking. Blockchain integration for supply chain transparency represents another emerging theme.

No scientific awards are mentioned in available records.

Teaching responsibilities at UTS include courses on Real-time Operating Systems and Shell Programming. No information is available regarding research grants, supervised students, or laboratory affiliations.