Wei Liu is an Associate Professor in Machine Learning, and the Director of Future Intelligence Research 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 are adversarial machine learning, game theory, causal inference, multimodal learning, and natural language processing.
Wei's research papers are constantly published in CORE A*/A and Q1 (i.e., top-prestigious) journals and conferences. He has received 3 Best Paper Awards. In addition, one of his papers received the PAKDD Most Influential Paper Award in 2021. He has obtained more than $1.9 million government competitive and industry research funding in the past five years.
The Future Intelligence Research Lab produces next-generation AI algorithms that address the following emerging challenges:
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.
Our Lab releases open-source code corresponding to the AI theories and algorithms we have developed, such as:
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: