Professor Hongying Meng
Professor
Summary
Hongying Meng is a full professor in the 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 York, University 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. After that, he worked as a postdoc researcher and then a lecturer at Electronic Engineering Department of Tsinghua University, Beijing, China before coming to UK. 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 7800 citations (Google Scholar h-index 41). 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
- Professor in Signal Processing and Artificial Intelligence
- Director of Transnational Education (TNE) Chongqing University of Posts and Telecommunications (CQUPT) Programme (China)
Membership of research centres at Brunel
- Institute of Digital Futures
- Institute of Health, Medicine and Environments
- Electronic Systems Research Group
Distinctions
- Top 2% Scientist of the World (Stanford/Elsevier, single-year data sets) in 2023 and 2024.
- The AI 2000 Most Influential Scholar Award Honorable Mention in Multimedia by Aminer, 2022.
- Recipient of "Best Entry for the Affect Recognition Sub-Challenge" (winner), Third International Audio/Visual Emotion Challenge (AVEC2013) at international conference ACM Multimedia 2013, Barcelona, Spain, 2013.
- Recipient of audio sub-challenge prize (winner), First International Audio/Visual Emotion Challenge (AVEC2011) at international conference ACII2011, Memphis, USA, 2011.
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, 11. pp. 237 - 250. ISSN: 2573-0436
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
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, 0 (early access). pp. 1 - 11. ISSN: 2379-8920
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, 35 (2). pp. 1492 - 1505. ISSN: 1051-8215
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