Dr Yun Sheng

Profile

Dr. Yun Sheng is a Lecturer in Computer Science. He received his Ph.D. degree from the University of Surrey. Since then, he has been working in academia around the world, taking part in many research projects funded by major research bodies, such as the EU FP6, EPSRC, Singaporean government, Chinese National Foundation of Nature and Science, etc. He has been regularly serving as a peer reviewer in a series of international conferences, journals and funding bodies including EPSRC, etc. He has also been a programme committee member of several international conferences and Programme Chair of the Conferences of Computer Graphics and Visual Computing (CGVC’25, CGVC’26, an annual conference of EGUK). He has successfully supervised a number of postgraduate research students. With his students, he received a Platinum Best Paper award of the International Conference on Multimedia and Expo 2018 (ICME'18), a leading conference of IEEE in Multimedia. Yun also holds the fellowship of the Higher Education Academy (FHEA) and currently serves as secretary of the UK Chapter of the EUROGRAPHICS Association.

Teaching

QHE4106 Generative Coding Creativity

QHP5701 Exploratory Data Analysis

QHM6702 Deep Learning Neural Networks

Research

Research Interests:

Yun’s current research interests cover a wide spectrum of hotspots in conventional and particularly AI-driven Computer Graphics and Vision, Digital Media, as well as how to employ these technologies to benefit Higher Education, etc. 

Publications

1. Y. Liu, F. Fang, T. Wang, J. Li, Y. Sheng and G. Zhang, “Multi-scale Grid Network for Image Deblurring with High-frequency Guidance”, IEEE Transactions on Multimedia, volume 22, pp. 2890-2901, 2022.
2. Z. Xu, T. Wang, F. Fang, Y. Sheng and G. Zhang, “Stylization-Based Architecture for Fast Deep Exemplar Colorization”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 9360-9369, June 14-19, 2020.
3. D. Yan, Y. Sheng and X. Mao, “Pencil Drawing Video Rendering Using Convolutional Networks”, Computer Graphics Forum, volume 38, pp. 91-102, 2019.
4. R. Li, X. Shi, Y. Sheng and G. Zhang, “A New Area-based Convexity Measure with Distance Weighted Area Integration for Planar Shapes”, Computer Aided Geometric Design, volume 71, pp. 176-189, 2019.
5. Q. Kong, Y. Sheng and G. Zhang, “Hybrid Noise for LIC-based Pencil Hatching Simulation,” The IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, July 23-27, 2018 (Platinum Best Paper Award).