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Summary

Professor Hongying Meng is with Department of Electronic and Electrical Engineering at Brunel University of London. Before joining Brunel, he held research positions in several UK universities including University College London (UCL), University of YorkUniversity of Southampton, University of Lincoln, and University of Dundee. He received his BSc, MSc and Ph.D. degree in Communication and Electronic Systems all from Xi’an Jiaotong University, Xi'an, China. He then worked as a postdoc researcher and then a lecturer in Electronic Engineering Department of Tsinghua University, Beijing, China. His research area includes biomedical engineering, computer vision, affective computing, artificial intelligence, neuromorphic computing and Internet of Things. His research is funded by EPSRC, EU Horizon 2020, Royal Academy of Engineering, Royal Society, etc. He has published more than 200 academic papers with more than 7700 citations (Google Scholar h-index 40). He has developed 2 different emotion recognition systems that won AVEC2011 and AVEC2013 international challenge competitions respectively. He is an IEEE Senior Member since 2017 and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (TCDS). He is also an associate Editors-in-Chief for Digital Twins and Applications (IET). He was recognized as one of the AI 2000 Most Influential Scholars by Aminer in 2022 and was listed as a Top 2% Scientist of the World (Stanford/Elsevier, single-year data sets) in 2023 and 2024.

Responsibility

Duties

Membership of research centres at Brunel

Distinctions

Newest selected publications

Wu, J., Lin, J., Pang, Y., Jiang, X., Li, X., Meng, H., et al. (2025) 'Cascaded Frequency-Encoded Multi-Scale Neural Fields for Sparse-View CT Reconstruction'. IEEE Transactions on Computational Imaging. pp. 1 - 14. ISSN: 2573-0436

Journal article

Tindale, A., Cretu, I., Gomez, N., Haynes, R., Meng, H., Mason, MJ. and et al. (2025) 'Central venous pressure as a method of optimising atrio-ventricular delay after cardiac surgery'. PLoS One, 20 (1). pp. 1 - 13. ISSN: 1932-6203 Open Access Link

Journal article

Liu, S., Huang, E., Xu, Y., Wang, K., Kui, X., Lei, T. and et al. (2025) 'Lightweight Facial Attractiveness Prediction Using Dual Label Distribution.'. IEEE Transactions on Cognitive and Developmental Systems, abs/2212.01742. pp. 1 - 11. ISSN: 2379-8920

Journal article

Shen, Z., Li, G., Xia, R., Meng, H. and Huang, Z. (2024) 'A Lightweight Object Counting Network Based On Density Map Knowledge Distillation'. IEEE Transactions on Circuits and Systems for Video Technology, 0 (early access). pp. 1 - 14. ISSN: 1051-8215 Open Access Link

Journal article

Chen, Z., Wang, W., Zhao, Z., Su, F., Men, A. and Meng, H. (2024) 'PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization.'.The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. Seattle, WA, USA. 16 - 22 June. IEEE. pp. 23501 - 23511. ISSN: 1063-6919 Open Access Link

Conference paper
More publications(158)

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