CMS researchers successful in receiving 2026 ARC DECRA
Dr Xiaogang Zhu and Dr Xinyu Zhang from School of Computer and Mathematical Sciences have been successfully in receiving 2026 ARC DECRA.
School of Computer and Mathematical Sciences researchers, Dr Xiaogang Zhu and Dr Xinyu Zhang, have been successful in receiving Australian Research Council (ARC) grants under the Discovery Early Career Research Award (DECRA) 2026 scheme.
Dr Xiaogang Zhu
Title:
Efficient Bug Detection for Reliable AI Software Infrastructures
Intro:
This DECRA project aims to enhance the reliability and cybersecurity of AI software infrastructures by developing bug-directed fuzzing techniques for efficient bug detection. The expected outcomes include cutting-edge fuzzing methods and a new framework for systematic testing.
Dr Xinyu Zhang
Title:
Efficient Generative Models with Enhanced Perception and Human Alignment.
Brief intro:
This DECRA project aims to develop efficient training strategies for generative models (GMs) with enhanced perception and human alignment, advancing generative AI toward interactive AI.
The ARC’s DECRA projects foster collaboration with national and international collaborators to address critical knowledge gaps and deliver solutions that address economic, environmental, social, and cultural challenges to improve quality of life and drive sustainable progress for all Australians.
Congratulations to Dr Xiaogang Zhu and Dr Xinyu Zhang.