Dr Hongying Meng
Reader
Howell Building 233
- Email: hongying.meng@brunel.ac.uk
- Tel: +44 (0)1895 265496
Summary
Dr Hongying Meng is a Reader with Department of Electronic and Electrical Engineering, College of Engineering, Design and Physical Sciences, Brunel University London. Before that, 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 Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China. He is a Member of Engineering Professors’ Council, and a Fellow of The Higher Education Academy (HEA) in UK. He is a Senior Member of IEEE and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (TCDS).
Responsibility
Duties
- Reader in Signal Processing and Machine Learning
- Course 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
- Quality Engineering and Smart Technology (Associate Member)
Distinctions
- The 2022 AI 2000 Most Influential Scholars (Ranked 98th in Artificial Intelligence->Multimedia as a New Star) by Aminer, 2022.
- Recipient of "Best Entry for the Affect Recognition Sub-Challenge", 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
Cretu, I., Tindale, A., Abbod, M., Balachandran, W., Khir, AW. and Meng, H. (2024) 'A comparison of different methods to maximise signal extraction when using central venous pressure to optimise atrioventricular delay after cardiac surgery'. IJC Heart and Vasculature, 51. pp. 1 - 9. ISSN: 2352-9067 Open Access Link
Song, H., Gong, J., Meng, H. and Lai, Y. (2024) 'Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing'.The 38th Annual AAAI Conference on Artificial Intelligence (AAAI-24). Vancoucer, BC, Canada. 20 - 27 February. Association for the Advancement of Artificial Intelligence (AAAI). pp. 4909 - 4917. ISSN: 2159-5399 Open Access Link
Zhang, G., Gao, X., Meng, H., Pang, Y. and Nie, X. (2023) 'A self-supervised network-based smoke removal and depth estimation for monocular endoscopic videos'. IEEE Transactions on Visualization and Computer Graphics. pp. 1 - 13. ISSN: 1077-2626
Wang, Y., Zhang, Y., Ma, C., Wang, R., Guo, Z., Shen, Y., et al. (2023) 'Neonatal White Matter Damage Analysis using DTI Super-resolution and Multi-modality Image Registration'. International Journal of Neural Systems, 34 (1). pp. 1 - 11. ISSN: 0129-0657 Open Access Link
Chen, J., Jin, Z., Wang, Q. and Meng, H. (2023) 'Self-supervised 3D Behavior Representation Learning Based on Homotopic Hyperbolic Embedding'. IEEE Transactions on Image Processing, 32. pp. 6061 - 6074. ISSN: 1057-7149 Open Access Link