Scholar
Lina Yao
Google Scholar ID: EU3snBgAAAAJ
Science Lead at CSIRO Data61 & Professor at University of New South Wales, Australia
Citations & Impact
Citations
22,419
H-index
58
i10-index
240
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Academic Achievements
- Serves as Leading Associate Editor or Associate Editor for multiple journals including Tsinghua Science and Technology, ACM TOIS, ACM TOSN, KNOSYS, ACM TALLIP, ACM TORS, IEEE TAI, and Nature Scientific Reports
- Secured ARC Discovery Project funding for research on Autonomous Continual Learning with Minimised Human Intervention
- Multiple papers accepted to NeurIPS 2025, including 'Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction'
- Research featured in COSMOS Magazine, Australian Financial Review, SBS, UNSW News, and others
- Recognized as Highly Cited Researcher and Top 2% Scientist
Education
- PhD: University of Adelaide, completed September 2014
- Master’s: University of Adelaide, completed July 2010
- Bachelor’s: Shandong University
- Also studied a Master’s degree at Nanjing University of Posts and Telecommunications (NUPT)
- Advisor information not explicitly provided
Background
- Senior Principal Research Scientist and Science Lead (Research Manager) at CSIRO's Data61
- Conjoint Professor at UNSW, Honorary Professor at Macquarie University, Adjunct Professor at University of Technology Sydney
- ARC Future Fellow (Level 3)
- Senior Member of ACM and IEEE
- Listed among Clarivate Highly Cited Researchers since 2024 and Stanford’s World's Top 2% Scientists since 2020
- Co Theme Leader of Theme 4 (Causal AI) at the Responsible AI Research Centre (RAIR)
- Research interests: Few-Shot Learning, Zero-Shot Learning, Deep Reinforcement Learning, Self-supervised Learning, Deep Generative Modelling
- Applications in Recommender Systems, Computer Vision, Brain-Computer Interface, Intelligent Transportation, IoT
- Motivated by real-world domains: Healthcare Informatics, Cyber Security, Transportation, Defence, Industry 4.0, FinTech
- Leads the Data Dynamics Lab (D² Lab), founded in 2016, focusing on generalizable, explainable, data-efficient ML/DL algorithms and human-machine interaction systems
