Lian Xu

Lian Xu is a Research Fellow in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA). She holds a PhD from UWA (2021) and specializes in computer vision, deep learning, and annotation-efficient methodologies. Her work focuses on weakly supervised learning, multi-modal data fusion, and applications in healthcare, agriculture, and maritime surveillance.

Education:

• PhD in Computer Science, University of Western Australia (2021)

Research Interests:

• Weakly supervised semantic segmentation
• Multi-modal learning with vision and language
• Computer vision applications in healthcare and agriculture
• Efficient learning strategies for limited labeled data

Her research output emphasizes techniques such as auxiliary task integration, token-based transformers, and spectral analysis for hyperspectral imaging. Recent work includes advancements in small object detection for maritime surveillance and crop stress classification using hyperspectral data.

Awards:

• Recipient of the Award for Growth in Innovation and Entrepreneurship (2021) for contributions to applied research.

Teaching & Engagement:

• Facilitated courses on computer vision (CITS4402) and visualization (CITS2401).
• Co-organizer of workshops at DICTA 2024, ACCV 2022, and VCIP 2021 on small object detection and deep learning limits.

Grants: Co-investigator on the Empowering Robots with 3D Vision and Reasoning for Enhanced Home Assistance project (2024–2025).