Yuanbo Wu

Dr Yuanbo Wu

Senior Lecturer, Computer Science

Email address

Office - 223
Second Floor
Computational Foundry
Bay Campus
Available For Postgraduate Supervision


Dr Lin Yuanbo Wu received her PhD from The University of New South Wales, Kensington, Sydney, Australia. She has broad research interests across computer vision tasks and machine learning with strong motivation to address real-world challenges and has intensively published more than 70 peer-reviewed research articles (including two book chapters) in premier journals and proceedings. Dr Wu is specialized in video content understanding (such as video instance/panoptic/object segmentation, object detection/tracking), target re-identification, incremental learning, Generative AI, and AI-based advancement for medical study. She was a recipient of the Award for Growth of 2021 The 4th Eureka International Innovation and Entrepreneurship Competition (Eureka IIEC 2021, Melbourne, Australia). Dr Wu is currently serving as the Associate Editor with IEEE Trans on Neural Networks and Learning Systems (IF: 14.255), IEEE Trans on Multimedia (IF: 8.182), IEEE Trans on Big Data (IF: 4.271), and Pattern Recognition Letters (IF: 4.757). She was invited to serve as Area Chair with ACM Multimedia 2023 (Ottawa), 2022 (Lisbon). Dr Wu is a Senior Member of IEEE.  

Areas Of Expertise

  • Computer vision
  • Object detection
  • Multi-object tracking
  • Instance and panoptic segmentation
  • Machine learning
  • AI for bioscience
  • Video generation
  • 6D articulated object estimation

Career Highlights


Lin is focusing on cutting-edge research challenges in a broad array of domains with computer vision, machine learning, and transcending emerging disciplines of artificial intelligence and biosciences. Current opportunities are outlined with video generation/editing, instance segmentation on both images and videos, protein structure generation/prediction, 6D articulated object estimation and target re-identification in surveillance. 

Lin’s exploratory research scheme Generative AI challenge: A Tracking-Discriminating Deep Generative Model for Real-Time Anomaly Detection in Videos, is fully funded by Airbus Endeavr, Wales (May 2023-April 2024, £150K GBP), with possible extension from May 2024-April 2026 (approx. £300K GPB).