![Jiang Liu](https://profiles-cardiff.imgix.net/attachments/6282?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Overview
News:
Our work "Vision-based human action quality assessment: A systematic review" is published in ESWA.
• The first systematic literature review to investigate up-to-date research in evaluating the quality of human actions through automated systems.
Our work "Blind Image Quality Assessment via Adaptive Graph Attention" is published in TCSVT.
• Top-performing No-Reference Image Quality Assessment (IQA) Model.
12/2024 Our work is submitted to ICME.
12/2024 Our work is submitted to IEEE TIM.
10/2024 Give a presentation at our Visual Computing Research Seminar.
07/2024 Our work is submitted to TCSVT.
Biography
I am a Ph.D. Student in Computer Science and Informatics, Cardiff University under the supervision of Prof. Hantao Liu and Dr. Katarzyna Stawarz.
Before that, I obtained my M.S. and B.S. degrees from the School of Information and Control Engineering at China University of Mining and Technology in 2022 and 2019, respectively, advised by Prof. Shiyin Li and Dr. Yuan Yang. I used to be a visiting student at Arizona State University (2019) and a research assistant at Southeast University (2020).
My research interests primarily lie in image quality assessment, action quality assessment and saliency prediction. I also have a research background in smart buildings and wireless sensing. I am a reviewer for IEEE TCSVT, IEEE TNNLS, IEEE Signal Processing Letters and Neurocomputing.
Please visit my personal website for more details.
Publication
2025
- Liu, J., Wang, H., Stawarz, K., Li, S., Fu, Y. and Liu, H. 2025. Vision-based human action quality assessment: A systematic review. Expert Systems with Applications 263, article number: 125642. (10.1016/j.eswa.2024.125642)
2024
- Wang, H., Liu, J., Tan, H., Lou, J., Liu, X., Zhou, W. and Liu, H. 2024. Blind image quality assessment via adaptive graph attention. IEEE Transactions on Circuits and Systems for Video Technology 34(10), pp. 10299-10309. (10.1109/TCSVT.2024.3405789)
Articles
- Liu, J., Wang, H., Stawarz, K., Li, S., Fu, Y. and Liu, H. 2025. Vision-based human action quality assessment: A systematic review. Expert Systems with Applications 263, article number: 125642. (10.1016/j.eswa.2024.125642)
- Wang, H., Liu, J., Tan, H., Lou, J., Liu, X., Zhou, W. and Liu, H. 2024. Blind image quality assessment via adaptive graph attention. IEEE Transactions on Circuits and Systems for Video Technology 34(10), pp. 10299-10309. (10.1109/TCSVT.2024.3405789)
Research
Research Interests
My research focuses on image quality assessment, action quality assessment, and saliency prediction, all of which play a critical role in advancing computer vision and machine learning applications. These areas involve evaluating visual content quality, analyzing human actions for performance assessment, and predicting where viewers focus their attention in images and videos.
Current Projects
- Action Quality Assessment: Developing AI-driven models to evaluate the performance of athletes and professionals in sports and healthcare scenarios.
- Image Quality Assessment: Designing automated methods to assess the perceptual quality of images, crucial for applications in photography, surveillance, and medical imaging.
- Saliency Prediction: Creating models that predict visual attention patterns to improve content design and interaction.
Biography
I am a Ph.D. Student in Computer Science and Informatics, Cardiff University under the supervision of Prof. Hantao Liu and Dr. Katarzyna Stawarz.
Before that, I obtained my M.S. and B.S. degrees from the School of Information and Control Engineering at China University of Mining and Technology in 2022 and 2019, respectively, advised by Prof. Shiyin Li and Dr. Yuan Yang. I used to be a visiting student at Arizona State University (2019) and a research assistant at Southeast University (2020).
My research interests primarily lie in image quality assessment, action quality assessment and saliency prediction. I also have a research background in smart buildings and wireless sensing. I am a reviewer for IEEE TCSVT, IEEE TNNLS, IEEE Signal Processing Letters and Neurocomputing.
