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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 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. 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 7000 citations (Google Scholar h-index 39). He has developed 2 different emotion recognition systems that won AVEC2011 and AVEC2013 international challenge competitions respectively. He is a 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

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

Cretu, I., Tindale, A., Balachandran, W., Abbod, M., Khir, AW. and Meng, H. (2024) 'Synthesis of Multimodal Cardiological Signals using a Conditional Wasserstein Generative Adversarial Network'. IEEE Access, 12. pp. 133994 - 134007.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

Lai, Y., Guan, W., Luo, L., Guo, Y., Song, H. and Meng, H. (2024) 'Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification'. IEEE Transactions on Neural Networks and Learning Systems, 35 (5). pp. 6948 - 6962. ISSN: 2162-237X Open Access Link

Journal article

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

Conference paper
More publications(151)

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