I am currently a Associate Professor at the School of Computer Science, The University of Adelaide, Australia. I am also an Academic Member of the Australian Institute for Machine Learning. He is a recipient of ARC DECRA (Discovery Early Career Researcher Award) award in 2016 and the University of Adelaide Research Fellowship award in 2016.

I have broad interests in machine learning, computer vision and natural language processing. My research objective is to build practical machine learning systems that can be more data efficient and generalisable for real-world applications. My current major research topics are about: low-supervision machine learning, including semi-supervised learning, unsupervised learning, few-shot/zero-shot learning etc; generalisable machine learning systems, including domain generalization, compositional generalization,etc.; applications in computer vision, e.g., dense prediction, fine-grained recognition, content generation; applications in natural language processing, e.g., low-resource NLP, generalization of NLP systems.

News

1. (Feb 2024) 2 papers accepted to appear at CVPR 2024
2. (Sep 2023) 2 papers accepted to appear at NeurIPS 2023
3. (July 2023) 1 paper accepted to appear at ICCV 2023
4. (February 2023) 5 papers accepted to appear at CVPR 2023
5. (November 2022) 1 paper accepted to appear at AAAI 2023
6. (October 2022) 1 paper accepted to appear at BMVC 2022
7. (September 2022) 2 papers accepted to appear at NeurIPS 2022
8. (July 2022) 2 papers accepted to appear at ECCV 2022
9. (April 2022) 1 paper accepted as ORAL paper to appear at NAACL 2022
10. (March 2022) 1 paper accepted as ORAL paper to appear at CVPR 2022

Contact

Office: 1.23, Australian Institute for Machine Learning, Australia Email: lingqiao.liu@adelaide.edu.au