Professor Hongying Meng
Professor
Summary
Professor Hongying Meng is with Department of Electronic and Electrical Engineering at 香港六合彩搅珠直播. Before joining 香港六合彩搅珠直播, he held research positions in several UK universities including , , and . He received his Ph.D. degree in Communication and Electronic Systems from and was a lecturer in Electronic Engineering Department of , 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 and He is also an associate Editors-in-Chief for Digital Twins and Applications by IET. He was recognized as one of the AI 2000 Most Influential Scholars by Aminer in 2022 and was listed as a (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 香港六合彩搅珠直播
- Institute of Digital Futures
- Electronic Systems Research Group
- Quality Engineering and Smart Technology (Associate Member)
Distinctions
- (Stanford/Elsevier, single-year data sets) in 2023 and 2024.
- The , 2022.
- Recipient of "Best Entry for the Affect Recognition Sub-Challenge", at international conference ACM Multimedia 2013, Barcelona, Spain, 2013.
- Recipient of audio sub-challenge prize (winner), , Memphis, USA, 2011.
Newest selected publications
Shen, Z., Li, G., Xia, R., Meng, H. and Huang, Z. (2024) ''. IEEE Transactions on Circuits and Systems for Video Technology. pp. 1 - 1. ISSN: 1051-8215
Zhang, G., Gao, X., Meng, H., Pang, Y. and Nie, X. (2024) 'A Self-Supervised Network-Based Smoke Removal and Depth Estimation for Monocular Endoscopic Videos.'. IEEE Trans. Vis. Comput. Graph., 30. pp. 6547 - 6559.
Cretu, I., Tindale, A., Balachandran, W., Abbod, M., Khir, AW. and Meng, H. (2024) ''. IEEE Access, 0 (early access). pp. 1 - 15.
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. 17 - 21 June. Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.
Lai, Y., Guan, W., Luo, L., Guo, Y., Song, H. and Meng, H. (2024) ''. IEEE Transactions on Neural Networks and Learning Systems, 35 (5). pp. 6948 - 6962. ISSN: 2162-237X