Professor Y.Z. Yu

PhD UC Berkeley

Tel: (+852) 2857 8238
Fax: (+852) 2559 8447
Email: yzyu<at>

Professor Yu received his PhD degree in computer science from University of California, Berkeley in 2000. He also holds a MS degree in applied mathematics and a BE degree in computer science and engineering from Zhejiang University. He was first a tenure-track then a tenured professor at University of Illinois, Urbana-Champaign (UIUC) for more than ten years, and a visiting researcher at Microsoft Research Asia during 2001 and 2008.

Professor Yu has made important contributions to AI and visual computing, including computer vision, images and graphics, and VR/AR. He is a recipient of 2011 and 2005 ACM SIGGRAPH/EG SCA Best Paper Awards, 2007 NNSF China Overseas Distinguished Young Investigator Award, 2002 US National Science Foundation CAREER Award, and 1998 Microsoft Graduate Fellowship. He has delivered keynote or invited speeches at many international conferences, including IEEE CAD/CG 2009, International Conference on Digital Home 2012, and International Conference on Artificial Intelligence and Robots (AIR2016). His current research includes deep learning methods for machine intelligence, computational visual media, intelligent video surveillance, and biomedical data analysis.

Professor Yu is an associate editor of IET Computer Vision, IEEE Transactions on Visualization and Computer Graphics as well as International Journal of Software and Informatics. He was a program chair of Computational Visual Media 2017 and Computer Animation and Social Agents 2012, and a conference chair of 2017 International Conference on Machine Vision and Information Technology. He has served on the program committee of many leading international conferences, including SIGGRAPH, SIGGRAPH Asia, and International Conference on Computer Vision.

Research Interests

Artificial Intelligence (AI), Deep Learning, Machine Vision, Visual Media, VR/AR

Selected Publications

  • W Ge and Y Yu, Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
  • G Li and Y Yu, Deep Contrast Learning for Salient Object Detection, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  • Z Yan, H Zhang, B Wang, S Paris, and Y Yu, Automatic Photo Adjustment Using Deep Neural Networks, ACM Transactions on Graphics, Vol 35, No 2, 2016.
  • Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, and Y Yu, HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition, IEEE International Conference on Computer Vision (ICCV), 2015.
  • Y Yu, C Fang, and Z Liao, Piecewise Flat Embedding for Image Segmentation, IEEE International Conference on Computer Vision (ICCV), 2015.
  • S Bi, X Han, and Y Yu, An L1 Image Transform for Edge-Preserving Smoothing and Scene-Level Intrinsic Decomposition, ACM Transactions on Graphics, Vol 34, No 4, 2015 (special issue for SIGGRAPH 2015).
  • Y Liu and Y Yu, Interactive Image Segmentation Based on Level Sets of Probabilities, IEEE Transactions on Visualization and Computer Graphics, Vol 18, No 2, pp 202- 213, 2012.
  • B Wang, Y Yu, TT Wong, C Chen, and YQ Xu, Data-Driven Image Color Theme Enhancement, ACM Transactions on Graphics, Vol 29, No 6, 2010 (special issue for SIGGRAPH Asia 2010).
  • WW Feng, BU Kim, and Y Yu, Real-Time Data-Driven Deformation Using Kernel Canonical Correlation Analysis, ACM Transactions on Graphics, Vol 27, No 3, 2008 (special issue for SIGGRAPH 2008).
  • Y Yu and JT Chang, Shadow Graphs and 3D Texture Reconstruction, International Journal of Computer Vision (IJCV), Vol 62, No 1-2, pp 35-60, 2005.