Wei Liu is an Associate Professor and the Director of Robust Machine Learning Lab in the School of Computer Science, the University of Technology Sydney (UTS), Australia. Wei obtained his PhD degree in Machine Learning research at the University of Sydney (USyd). His current research focuses on adversarial machine learning, game theory, causal inference, multimodal learning, and natural language processing. His research papers are constantly published in CORE A* and A (i.e., top-prestigious) journals and conferences. He has obtained more than $1.9 million government competitive and industry research funding in the past five years.
Contact: firstname.lastname<at>uts.edu.au
The Robust Machine Learning Lab produces next-generation learning algorithms that address the following research challenges:
• Resilient to Adversarial Cyber Attacks. (See three representative papers from our lab: [1], [2], [3].)
• Integrative to Multiple Data Modalities. (Three representative papers: [4], [5], [6].)
• Handling Information Bias and Data Skewness. (Three representative papers: [7], [8], [9].)
Due to the popularity of Wei's name, the DBLP does not have an accurate record of his publications. His Google Scholar page is here.
Wei has been leading a number of nationally competitive grants and contract research projects funded by government agencies and industry organisations, spanning information security, digital media, retail, insurance, finance, transportation, and regulation sectors:
Current Students under my Principal Supervision:
Graduated Students: