Published several papers including 'Open-CRB: Active Learning for 3D Object Detection from Open World', 'CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving', 'MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection', and 'DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection'.
Research Experience
Developing large-scale vision-language models for healthcare data at Oracle; Research on enhancing 3D scene understanding model generalization at UQ.
Education
Received Bachelor of Computer Science with First Class Honours from UQ in 2021 and served as Valedictorian at the December 2021 graduation ceremony. PhD supervisors include Dr Yadan Luo, Prof Helen Huang, and Dr Mahsa Baktashmotlagh.
Background
Currently an AI Scientist Intern at Oracle, supervised by Dr Yuan-Fang Li, developing large vision–language models tailored to health-care data. Also a last-year PhD candidate at The University of Queensland (UQ), Australia, under the supervision of Dr Yadan Luo, Prof Helen Huang, and Dr Mahsa Baktashmotlagh, conducting research on improving model generalization for 3D scene understanding.