Hongchuan Yu

Dr Hongchuan Yu

  • Principal Academic In Computer Animation
  • Tolpuddle House TA121, Talbot Campus, Fern Barrow, Poole, BH12 5BB
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Biography

Hongchuan Yu currently works as a Principal Academic in computer graphics and animation in National Centre for Computer Animation. He coordinated units, including Foundation of Computer Science (Level UG), Computing for Graphics & Animation C++ (Level UG), Personal Inquiry (level PG) and Numerical optimization methods (level PG). Prior to this appointment Dr Yu worked as a research fellow with School of Computer Science & Software Engineering, The University of Western Australia (Perth), and School of Electrical and Electronic Engineering, Nanyang Technological University (Singapore), and Dept. of Computer Science, Tsinghua University (Beijing). Dr Yu’s research interests include computer vision, visualization, computer graphics and animation. Recent works mainly focus on Deep Learning Techniques with applications to graphics and animation. He has published more than 80 peer-reviewed papers on Journals and International academic conferences. The distinctive achievement is that he led the international collaboration project (with The University of HongKong, China) and published the research paper in Top Conference-SIGGRAPH 2016, which is the first SIGGRAPH paper led by NCCA academic...

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Research

Project 1. Foldover-free Surface Parameterization: Application to Texture Mapping, (http://vision.csie.ncku.edu.tw/~ichenyeh/homepage/publication/2012_TVCG/) Application to High Dimensional Dataset, (http://www.sciencedirect.com/science/article/pii/S1532046413002025)

Project 2: Discrete geodesics on Meshes

The main contribution is to approximate to the limit of running time for continuous Dijkstra style methods, i.e. O(n^1.5). http://i.cs.hku.hk/~xghan/Projects/VTP.htm

Journal Articles

  • He, Y., Chen, S., Yu, H. and Yang, T., 2020. A cylindrical shape descriptor for registration of unstructured point clouds from real-time 3D sensors. JOURNAL OF REAL-TIME IMAGE PROCESSING.
  • Li, Z., Feng, C., Zheng, J., Wu, M. and Yu, H., 2020. Towards Adversarial Robustness via Feature Matching. IEEE Access, 8, 88594-88603.
  • Zheng, J., Qin, M., Zhou, X., Mao, J. and Yu, H., 2020. Efficient implementation of truncated reweighting low-rank matrix approximation. IEEE Transactions on Industrial Informatics, 16 (1), 488-500.
  • Li, Z., Yu, H., Kieu, H.D., Vuong, T.L. and Zhang, J.J., 2020. PCA-Based robust motion data recovery. IEEE Access, 8, 76980-76990.
  • Li, H., Li, G., Lin, L., Yu, H. and Yu, Y., 2019. Context-aware semantic inpainting. IEEE Transactions on Cybernetics, 49 (12), 4398-4411.
  • Fu, Y., Yu, H., Yeh, C.K., Zhang, J. and Lee, T.Y., 2019. High relief from brush painting. IEEE Transactions on Visualization and Computer Graphics, 25 (9), 2763-2776.
  • Li, Z., Wu, M., Zheng, J. and Yu, H., 2019. Perceptual Adversarial Networks With a Feature Pyramid for Image Translation. IEEE Computer Graphics and Applications, 39 (4), 68-77.
  • Cheng, L., Qiao, D., Zhao, P., He, Y., Sun, W., Yu, H. and Jiao, Z., 2019. Template-free synthesis of mesoporous succulents-like TiO 2 /graphene aerogel composites for lithium-ion batteries. Electrochimica Acta, 300, 417-425.
  • Zheng, J., Lu, C., Yu, H., Wang, W. and Chen, S., 2018. Iterative Reconstrained Low-Rank Representation via Weighted Nonconvex Regularizer. IEEE Access, 6, 51695-51707.
  • Wang, J., Tian, F., Yu, H., Liu, C.H., Zhan, K. and Wang, X., 2018. Diverse Non-Negative Matrix Factorization for Multiview Data Representation. IEEE Transactions on Cybernetics, 48 (9), 2620-2632.
  • Zheng, J., Qiu, H., Sheng, W., Yang, X. and Yu, H., 2018. Kernel group sparse representation classifier via structural and non-convex constraints. Neurocomputing, 296, 1-11.
  • Wang, J., Wang, X., Tian, F., Liu, C.H. and Yu, H., 2017. Constrained Low-Rank Representation for Robust Subspace Clustering. IEEE Transactions on Cybernetics, 47 (12), 4534-4546.
  • Qin, Y., Yu, H. and Zhang, J., 2017. Fast and Memory-Efficient Voronoi Diagram Construction on Triangle Meshes. Computer Graphics Forum, 36 (5), 93-104.
  • Han, X., Yu, H., Yu, Y. and Zhang, J., 2017. A fast propagation scheme for approximate geodesic paths. Graphical Models, 91, 22-29.
  • Ma, J., Deng, Y., Zhou, H. and Yu, H., 2017. Uncertainty Management in Smart Environment. Mathematical Problems in Engineering, 2017.
  • Qin, Y., Han, X., Yu, H., Yu, Y. and Zhang, J., 2016. Fast and exact discrete geodesic computation based on triangle-oriented wavefront propagation. ACM Transactions on Graphics, 35 (4).
  • Yu, H., Qin, Y. and Zhang, J.J., 2015. Eigenspace-based surface completeness. Journal of Electronic Imaging, 24 (2).
  • Yu, H., Cheng, L., Wang, Y., Huang, D., Nguyen, T., Jiang, Y., Ding, G. and Jiao, Z., 2015. Facile synthesis of size-tunable CuO/graphene composites and their high photocatalytic performance. Materials Research Bulletin, 61, 409-414.
  • Cheng, L., Wang, Y., Huang, D., Nguyen, T., Jiang, Y., Yu, H., Ding, N., Ding, G. and Jiao, Z., 2015. Facile synthesis of size-tunable CuO/graphene composites and their high photocatalytic performance. Materials Research Bulletin, 61, 409-414.
  • Yu, H., Zhang, J.J. and Lee, T.-Y., 2014. Foldover-free shape deformation for biomedicine. J Biomed Inform, 48, 137-147.
  • Yu, H., Zhang, J.J. and Jiao, Z., 2014. Geodesics on Point Clouds. Mathematical Problems in Engineering, 2014 (Article ID 860136).
  • Yu, H., Zhang, W. and Zhang, J.J., 2013. Particle System Based Geodesic Computation for Implicit Surface. Pensee Journal, 75 (12), 199-214.
  • Yu, H. and Zhang, J.J., 2013. Mean value coordinates-based caricature and expression synthesis. Signal, Image and Video Processing, 7 (5), 899-910.
  • Yu, H. and Zhang, J.J., 2012. Topology preserved shape deformation. Visual Computer, 28 (6-8), 849-858.
  • Yu, H., Lee, T.-Y., Yeh, I.-C., Yang, X., Li, W. and Zhang, J.J., 2012. An RBF-based reparameterization method for constrained texture mapping. IEEE Transactions on Visualization and Computer Graphics, 18 (7), 1115-1124.
  • Zhang, J., Gao, F., Yu, H. and Zhao, X., 2012. Use of an orthogonal parallel robot with redundant actuation as an earthquake simulator and its experiments. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 226 (1), 257-272.
  • Huda, M.N., Yu, H.N. and Wane, S.O., 2011. Self-contained capsubot propulsion mechanism. International Journal of Automation and Computing, 8 (3), 348-356.
  • Yu, H. and Zhang, J.J., 2011. Apply GPCA to Motion Segmentation. Journal of Intelligent Learning Systems and Applications, 3, 45-54.
  • Yu, H., Zhang, J.J. and Yang, X., 2011. Tensor-based Feature Representation with Application to Multimodal Face Recognition. International Journal of Pattern Recognition and Artificial Intelligence, 25, 1197-1217.
  • Bauer, C.I., Yu, H. and Boffey, B., 2010. Adaptive Genetic Algorithm for Neural Network retraining. Novel Algorithms and Techniques in Telecommunications and Networking, 235-238.
  • Yu, H., Liu, Y. and Hasan, M.S., 2010. Review of modelling and remote control for excavators. International Journal of Advanced Mechatronic Systems, 2 (1-2), 68-80.
  • Wang, H., Hu, Z. and Yu, H., 2010. Road edge recognition for mobile robot using laser range finder. International Journal of Advanced Mechatronic Systems, 2 (4), 236-245.
  • Hongchuan, Y., Wenjuan, C. and Jian J, Z., 2010. Example based caricature synthesis. Advances in Computer Science and Engineering, 5, 49-71.
  • Yu, H. and Zhang, J.J., 2010. Geodesic computation on implicit surfaces. International Journal of Information Science and Computer Mathematics, 2, 33-49.
  • Yu, H., Bennamoun, M. and Chua, C.-S., 2009. An extension of min/max flow framework. Image and Vision Computing, 27, 342-353.
  • Yu, H., Liu, Y. and Yang, T., 2008. Closed-loop tracking control of a pendulum-driven cart-pole underactuated system. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 222 (2), 109-125.
  • Deng, M., Yu, H. and Inoue, A., 2008. Decentralized PD control for non-uniform motion of a Hamiltonian hybrid system. International Journal of Automation and Computing, 5 (2), 119-124.
  • Hossain, M.A., Madkour, A.A.M., Dahal, K.P. and Yu, H., 2008. Comparative performance of intelligent algorithms for system identification and control. Journal of Intelligent Systems, 17 (4), 313-329.
  • Liu, Y., Yu, H., Wane, S. and Yang, T., 2008. On tracking control of a pendulum-driven cart-pole underactuated system. International Journal of Modelling, Identification and Control, 4 (4), 357-372.
  • Yu, H. and Bennamoun, M., 2007. Complete invariants for robust face recognition. Pattern Recognition, 40, 1579-1591.
  • Sun, Z.M., Chen, W.D. and Yu, H.N., 2006. Minimal realization in linear system of max-algebra. Kongzhi yu Juece/Control and Decision, 21 (5), 521-526.
  • Yu, H. and Chua, C.-S., 2006. GVF-based anisotropic diffusion models. IEEE Transactions on Image Processing, 15, 1517-1524.
  • Wang, Y. and Yu, H., 2006. Cost minimisation for downstream outsourcing supply chain under demand uncertainty. International Journal of Agile Systems and Management, 1 (4), 422-435.
  • Tassabehji, R. and Yu, H., 2006. Supply chain planning, execution, modelling and optimisation in the internet age. International Journal of Agile Systems and Management, 1 (4), 325-328.
  • Tong, X., Sun, H., Pu, H. and Yu, H., 2004. An Improved LDI Algorithm for High Quality Image Rendering. Computer Engineering and Applications, 40.
  • Yu, H. and Tang, Z., 2003. Estimation of motion parameters and image rectification. Pattern Recognition and Artificial Intelligence, 16, 22.
  • Wang, D., Tang, Y., Yu, H. and Tang, Z., 2003. Level set methods based on distance function. Applied Mathematics and Mechanics, 24, 950-960.
  • Yu, H., Wang, D. and Tang, Z., 2003. Singular Points in Level Set Evolution and Revised Narrow Banding Algorithm. Journal of Software, 14.
  • Reyes Moro, A., Yu, H. and Kelleher, G., 2002. Hybrid heuristic search for the scheduling of flexible manufacturing systems using Petri nets. IEEE Transactions on Robotics and Automation, 18 (2), 240-245.
  • Yang, T.C., Ding, Z.T. and Yu, H., 2002. Decentralised power system load frequency control beyond the limit of diagonal dominance. International Journal of Electrical Power and Energy Systems, 24 (3), 173-184.
  • Reyes, A., Yu, H., Kelleher, G. and Lloyd, S., 2002. Integrating Petri nets and hybrid heuristic search for the scheduling of FMS. Computers in Industry, 47 (1), 123-138.
  • Yu, H., Wu, F., Rui, Z. and Wei, S., 2001. View Interpolation and Perspective Homotopy Transform. Acta Electronica Sinica, 29.
  • Rui, Z., Yu, H. and Wei, S., 2000. Image inverse mapping and blending. Pattern Recognition and Artificial Intelligence, 13.
  • Yu, H., Seneviratne, L.D. and Earles, S.W.E., 1994. Exponentially stable robust control law for robot manipulators. IEE Proceedings: Control Theory and Applications, 141 (6), 389-395.

Chapters

  • Yu, H., Yang, X. and Zhang, J.J., 2010. Constrained Texture Mapping And Foldover-free Condition. ICMV2010: 3rd International Conference on Machine Vision, Hong Kong, 28-30 December 2010. Proceedings. IEEE press, 136-143.
  • Yu, H., 2010. Apply GPCA to Motion Segmentation. In: Zhang, J.J., Shao, L., Zhang, L. and Jones, G.A., eds. Intelligent Video Event Analysis and Understanding. Springer-Verlag, 21-38.
  • Yu, H. and Zhang, J.J., 2010. An Extension of Principal Component Analysis. In: Oravec, M., ed. Face Recognition. In-Tech, 21-34.
  • Yu, H., 2010. N-Dimensional Principal Component Analysis. FCV 2010: Proceedings of 16th Korea-Japan Joint workshop on Frontiers of Computer vision. IEEE Press.
  • Chen, W., Yu, H. and Zhang, J.J., 2009. Example Based Caricature Synthesis. CASA 2009: Proceedings of Conference on Computer Animation and Social Agents. Den Haag, Netherlands: CIP Gegevens Koninklijke Bibliotheek,.
  • Yu, H. and Bennamoun, M., 2006. 1D-PCA, 2D-PCA to nD-PCA. ICPR 2006: Proceedings of 18th International Conference on Pattern Recognition, 2006. IEEE Press.
  • Yu, H. and Bennamoun, M., 2006. Simplified Representation of Large or Medium Range Dataset. VISAPP 2006: Proceedings of International Conference on Computer Vision Theory and Applications 2006. INSTICC - Institute for Systems and Technologies of Information, Control and Communication.
  • Yu, H. and Bennamoun, M., 2005. Complete invariant description under usual Fourier-Mellin transform. Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005.. IEEE Press, 815-818.
  • Yu, H. and Bennamoun, M., 2005. A Compact and Complete AFMT Invariant with Application to Face Recognition. ACIDCA-ICMI'2005: Proceedings of the 2nd International Conference on Machine Intelligence 2005. ACIDCA-ICMI'2005.
  • Yu, H. and Bennamoun, M., 2005. A Phase Correlation Approach to Active Vision. Computer Analysis of Images and Patterns. Berlin / Heidelberg: Springer, 57-64.
  • Yu, H. and Bennamoun, M., 2005. Two Novel Complete Sets of Similarity Invariants. Advances in Visual Computing. Berlin / Heidelberg: Springer, 659-665.
  • Yu, H. and Chua, C.-S., 2004. Image Anisotropic Diffusion Based on Gradient Vector Flow Fields. Computer Vision - ECCV 2004. Berlin / Heidelberg: Springer, 288-301.
  • Sun, Y., Tong, X., Pu, H. and Yu, H., 2004. A shear-warp IBR algorithm using layer representation. CIT '04: Proceedings of The Fourth International Conference on Computer and Information Technology, 2004. IEEE Press.
  • Yu, H. and Chua, C.-S., 2004. Image segmentation and tracking under max/min flow framework. ACCV 2004: Proceedings of Asia Conference on Computer Vision 2004, Korea.. ACCV.
  • Yu, H. and Chua, C.-S., 2003. Image enhancement and denoising under max/min flow framework. ICCV 2003: Proceedings of IEEE workshop on Variational Geometric and Level set methods in Computer vision 2003. IEEE Press.

Conferences

  • Zhao, Y., Shan, Y., Guo, K., Han, L., Qi, L. and Yu, H., 2019. Principle and Performance Analysis of Soft Continuum Robot with Large Range Variable Stiffness Based on Spherical Particles. 719-724.
  • Zheng, J., Qin, M., Yu, H. and Wang, W., 2018. An efficient truncated nuclear norm constrained matrix completion for image inpainting. 97-106.
  • Yu, H., Komura, T. and Zhang, J.J., 2017. Workshop: Data-Driven Animation Technology (D2AT).
  • Wang, J., Tian, F., Liu, C.H., Yu, H., Wang, X. and Tang, X., 2017. Robust nonnegative matrix factorization with ordered structure constraints. 478-485.
  • Tongpaeng, Y., Sureephong, P., Rattanakhum, M. and Yu, H., 2017. Thai dance knowledge archive framework based on Labanotation represented in 3D animation. 66-70.
  • Wang, J., Tian, F., Wang, X., Yu, H., Liu, C.H. and Yang, L., 2017. Multi-component nonnegative matrix factorization. 2922-2928.
  • Wang, J., Wang, X., Tian, F., Liu, C.H., Yu, H. and Liu, Y., 2016. Adaptive multi-view semi-supervised nonnegative matrix factorization. 435-444.
  • Yuan, F., Yu, H. and Burrows, B., 2012. A review of methods for hydrodynamic analysis of helical swimming flagella. 164-171.
  • Yu, H., Wang, H. and Deng, J., 2012. New watermarking method using convex chain. In: Wei Sui, ed. Second International Conference on Image and Graphics 26-28 July 2002 Hefei, China.
  • Zhang, J., Yu, H., Gao, F., Zhao, X., Ma, C. and Huang, X., 2010. Application of a novel 6-DOF parallel robot with redundant actuation for earthquake simulation. 513-518.
  • Nawaz, S.J., Patwary, M.N., Khan, N.M. and Yu, H., 2010. 3-D Gaussian scatter density propagation model employing a directional antenna at BS. 395-400.
  • Yu, H. and Zhang, J.J., 2010. Caricature Synthesis Based on Mean Value Coordinates. In: CASA 2010: Proceedings of the 23rd International Conference on Computer Animation and Social Agents 31 May-2 June 2010 Saint-Malo, France.
  • Liu, Y. and Yu, H., 2009. Variable structure control of a capsule robot system. 220-226.
  • Atkins, A.S., Zhang, L., Yu, H. and Naylor, B.P., 2008. Application of knowledge hub and RFID technology in auditing and tracking of plasterboard for environment recycling and waste disposal. 190-195.
  • Liu, Y., Yu, H. and Yang, T.C., 2008. Analysis and control of a capsubot.
  • Hasan, M.S., Yu, H., Griffiths, A.L. and Yang, T.C., 2008. Co-simulation framework for Networked Sontrol Systems over multi-hop mobile ad-hoc networks.
  • Zheng, X., Yu, H. and Atkins, A., 2008. An overview of simulation in Supply Chains. 407-416.
  • Harding, C., Griffiths, A. and Yu, H., 2007. An interface between MATLAB and OPNET to allow simulation of WNCS with MANETs. 711-716.
  • Yang, T.C., Fei, M.R., Xue, D.Y. and Yu, H.N., 2006. Some issues in the study of networked control system. 5604-5608.
  • Yu, H. and Chua, C.S., 2004. Image Segmentation and Region Tracking Under generalized Max/Min Flow Framework. In: Hong, K. and Zhang, Z., eds. 6th Asian Conference on Computer Vision 27-30 January 2004 Korea.
  • Yu, H. and Chua, C.-S., 2004. Image Anisotropic Diffusion Based on Gradient Vector Flow Fields. Springer, 288-301.
  • Yu, H., Wang, D. and Tang, Z., 2001. Curve Evolution and 3D Reconstruction. In: Yair Censor, ed. Visualization and Optimization Techniques 25-27 September 2001 Wuhan, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Level Set Methods and Image Segmentation. In: Image Extraction, Segmentation, and Recognition 21-23 September 2001 Wuhan, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Image Segmentation based on Level Set Methods. In: the International Workshop on Medical Imaging and Augmented Reality (MIAR '01) 22-24 June 2001 HongKong, China.
  • Yu, H., Wang, D. and Tang, Z., 2001. Level Set Methods and Image Segmentation. IEEE Computer Society, 204.
  • Yang, T.C., Ding, Z.T. and Yu, H., 2000. Research into Quasi-decentralised control. 2893-2898.
  • Yu, H. and Wu, F.C., 2000. The Study of KRUPPA Equations. In: 5th International Conference on Signal Processing, 2000. WCCC-ICSP 2000. 8-10 September 2000 Beijing, China.
  • Yu, H. and Wei, S., 2000. The Border Panorama. In: G.H. XU, ed. The 1st International Conference on Image and Graphics 8-10 September 2000 Tianjing, China. the China Society of Image and Graphics.
  • Yu, H., Wu, F.C., Yuan, B. and Wei, S., 2000. Self-Calibration Algorithms of Rotation Cameras. In: The 3rd World Congress on Intelligent Control and Automation, 2000. 23-25 June 2000 Hefei, China.

Theses

PhD Students

  • Ying Jiao. Geodesic computation on weighted mesh
  • Yipeng Qin. surface parameterization
  • David Gillespie. Digital cultural heritage
  • Yufei Fu. 3D face expression editing
  • Varun Samudrala. Neuron reconstruction and visualization

Profile of Teaching PG

  • Numerical methods of Linear and Nonlinear Optimization

Profile of Teaching UG

  • Algorithm design and analysis

Grants

  • VR/AR Rendering with Application to In Vivo Barriers to Targeted Nanodelivery (Royal Society, 15 Mar 2016). In Progress
  • High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian Intangible Cultural Heritage Digital Content (EUROPEAN COMMISSION Research Executive Agency, 01 Jan 2016). In Progress
The data on this page was last updated at 04:26 on November 24, 2020.