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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person's work contributes towards the following SDGs:

Quality education

"Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all"

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Decent work and economic growth

"Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all"

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Industry, innovation and infrastructure

"Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation"

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Reduced inequalities

"Reduce inequality within and among countries"

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Journal Articles

  • Zhao, H., Yu, H. and Peng, L., 2024. Event-Triggered Distributed Data-Driven Iterative Learning Bipartite Formation Control for Unknown Nonlinear Multiagent Systems. IEEE Transactions on Neural Networks and Learning Systems, 35 (1), 417-427.
  • Liu, Y., Li, X., Yu, H. and Yang, L., 2024. A novel sEMG-based dynamic hand gesture recognition approach via residual attention network. Multimedia Tools and Applications, 83 (3), 9329-9349.
  • Fan, K., Liu, Y., Huo, B., Yang, L., Wu, Z. and Yu, H., 2023. Cascaded ESO based multi-task priority tracking and null-space compliance control for redundant robots. Control Engineering Practice, 141.
  • Yang, L., Huang, H., Kong, S., Liu, Y. and Yu, H., 2023. PAF-Net: A Progressive and Adaptive Fusion Network for Pavement Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems, 24 (11), 12686-12700.
  • Chen, B., Zhang, H., Zhang, F., Liu, Y., Tan, C., Yu, H. and Wang, Y., 2023. A Multirobot Distributed Collaborative Region Coverage Search Algorithm Based on Glasius Bio-Inspired Neural Network. IEEE Transactions on Cognitive and Developmental Systems, 15 (3), 1449-1462.
  • Yang, L., Zhai, C., Liu, Y. and Yu, H., 2023. CFHA-Net: A polyp segmentation method with cross-scale fusion strategy and hybrid attention. Computers in Biology and Medicine, 164.
  • Shan, Y., Zhao, Y., Yu, H., Pei, C., Jin, Z. and Sun, Y., 2023. Design and Grasping Force Modeling for a Soft Robotic Gripper with Multi-stem Twining. Journal of Bionic Engineering, 20 (5), 2123-2134.
  • Li, Z., Yu, D., Wu, M., Jin, C. and Yu, H., 2023. Adversarial supervised contrastive learning. Machine Learning, 112 (6), 2105-2130.
  • Chen, B., Zhang, W., Zhang, F., Liu, Y. and Yu, H., 2023. A Multirobot Cooperative Area Coverage Search Algorithm Based on Bioinspired Neural Network in Unknown Environments. IEEE Systems Journal, 17 (2), 1995-2006.
  • Manubens-Gil, L., Yu, H. et al., 2023. BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets. Nature Methods, 20 (6), 824-835.
  • Vladareanu, L., Yu, H., Wang, H. and Feng, Y., 2023. Advanced Intelligent Control in Robots. Sensors, 23 (12).
  • Yang, L., Bai, S., Liu, Y. and Yu, H., 2023. Multi-scale triple-attention network for pixelwise crack segmentation. Automation in Construction, 150.
  • Yang, L., Wang, H., Gu, Y., Bian, G., Liu, Y. and Yu, H., 2023. TMA-Net: A Transformer-Based Multi-Scale Attention Network for Surgical Instrument Segmentation. IEEE Transactions on Medical Robotics and Bionics, 5 (2), 323-334.
  • Zhao, H., Shan, J., Peng, L. and Yu, H., 2023. Distributed Event-Triggered Bipartite Consensus for Multiagent Systems Against Injection Attacks. IEEE Transactions on Industrial Informatics, 19 (4), 5377-5386.
  • Sheibanifard, A. and Yu, H., 2023. A Novel Implicit Neural Representation for Volume Data. Applied Sciences (Switzerland), 13 (5).
  • Yu, H., Huang, M. and Zhang, J.J., 2023. Domain Adaptation Problem in Sketch Based Image Retrieval. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 19 (3).
  • Zhao, H., Shan, J., Peng, L. and Yu, H., 2023. Data-Driven Event-Triggered Formation of MIMO Multiagent Systems With Constrained Information. IEEE Transactions on Systems, Man, and Cybernetics: Systems.
  • Zhao, H., Shan, J., Peng, L. and Yu, H., 2023. Data-Driven Event-Triggered Bipartite Consensus for Multi-Agent Systems Preventing DoS Attacks. IEEE Control Systems Letters, 7, 1915-1920.
  • Wang, Y., Wang, X., Yang, H., Geng, Y., Yu, H., Zheng, G. and Liao, L., 2023. MhaGNN: A Novel Framework for Wearable Sensor-Based Human Activity Recognition Combining Multi-Head Attention and Graph Neural Networks. IEEE Transactions on Instrumentation and Measurement, 72.
  • Liu, Y., Li, X., Yang, L., Bian, G. and Yu, H., 2023. A CNN-Transformer Hybrid Recognition Approach for sEMG-Based Dynamic Gesture Prediction. IEEE Transactions on Instrumentation and Measurement, 72.
  • Sun, J., Yu, H., Zhang, J.J., Dong, J. and Zhong, G., 2022. Face image-sketch synthesis via generative adversarial fusion. Neural Networks, 154, 179-189.
  • Kieu, H.D., Yu, H., Li, Z. and Zhang, J.J., 2022. Locally weighted PCA regression to recover missing markers in human motion data. PLoS ONE, 17 (8 August).
  • Deng, M., Yu, H. and Jiang, C., 2022. Design and Control of Advanced Mechatronics Systems. Machines, 10 (7).
  • Zhao, H., Peng, L., Wu, P. and Yu, H., 2022. A novel bipartite consensus tracking scheme for unknown nonlinear multi-agent systems: Theoretical analysis and applications. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 236 (5), 1038-1048.
  • Ghani, A., Aina, A., See, C.H., Yu, H. and Keates, S., 2022. Accelerated Diagnosis of Novel Coronavirus (COVID-19)—Computer Vision with Convolutional Neural Networks (CNNs). Electronics (Switzerland), 11 (7).
  • Zhao, H.R., Peng, L., Yu, H.N. and Shen, Y.H., 2022. Data-driven bipartite consensus control for multi-agent systems with data quantization. Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 39 (2), 336-342.
  • Yao, X., Huang, Y., Mai, H., Yang, E. and Yu, H., 2022. Autonomous smart manufacturing: Social-cyber-physical interaction, reference architecture and operation mechanism. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 28 (2), 325-338.
  • Liu, Y., Song, S., Yang, L., Bian, G. and Yu, H., 2022. A novel dynamic gesture understanding algorithm fusing convolutional neural networks with hand-crafted features. Journal of Visual Communication and Image Representation, 83.
  • Tang, Z., Yu, H., Yang, H. and Zhang, L., 2022. Effect of velocity and acceleration in joint angle estimation for an EMG-Based upper-limb exoskeleton control. Computers in Biology and Medicine, 141.
  • Sun, J., Yu, H., Zhong, G., Dong, J., Zhang, S. and Yu, H., 2022. Random Shapley Forests: Cooperative Game-Based Random Forests With Consistency. IEEE Transactions on Cybernetics, 52 (1), 205-214.
  • Liu, Y., Shen, J., Yang, L., Bian, G. and Yu, H., 2022. ResDO-UNet: A deep residual network for accurate retinal vessel segmentation from fundus images. Biomedical Signal Processing and Control, 79.
  • Suarez-Mash, D., Ghani, A., See, C.H., Keates, S. and Yu, H., 2022. Using Deep Neural Networks to Classify Symbolic Road Markings for Autonomous Vehicles. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 9 (31), 1-9.
  • Zhao, H., Peng, L. and Yu, H., 2022. Quantized model-free adaptive iterative learning bipartite consensus tracking for unknown nonlinear multi-agent systems. Applied Mathematics and Computation, 412.
  • Wang, Y., Li, Z., Wang, X., Yu, H., Liao, W. and Arifoglu, D., 2021. Human gait data augmentation and trajectory prediction for lower-limb rehabilitation robot control using gans and attention mechanism. Machines, 9 (12).
  • Zhao, H., Peng, L. and Yu, H., 2021. Model-free adaptive consensus tracking control for unknown nonlinear multi-agent systems with sensor saturation. International Journal of Robust and Nonlinear Control, 31 (13), 6473-6491.
  • Li, Z., Feng, C., Wu, M., Yu, H., Zheng, J. and Zhu, F., 2021. Adversarial robustness via attention transfer. Pattern Recognition Letters, 146, 172-178.
  • Fu, Y., Yu, H., Yeh, C.K., Lee, T.Y. and Zhang, J.J., 2021. Fast Accurate and Automatic Brushstroke Extraction. ACM Transactions on Multimedia Computing, Communications and Applications, 17 (2).
  • He, Y., Chen, S., Yu, H. and Yang, T., 2021. A cylindrical shape descriptor for registration of unstructured point clouds from real-time 3D sensors. Journal of Real-Time Image Processing, 18 (2), 261-269.
  • Cheng, L., He, Y., Gong, M., He, X., Ning, Z., Yu, H. and Jiao, Z., 2021. MOF-derived synthesis of Co3O4 nanospheres with rich oxygen vacancies for long-term stable and highly selective n-butanol sensing performance. Journal of Alloys and Compounds, 857.
  • 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, Z., Feng, C., Zheng, J., Wu, M. and Yu, H., 2020. Towards Adversarial Robustness via Feature Matching. IEEE Access, 8, 88594-88603.
  • 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.
  • Yu, H. and Zhang, J.J., 2010. Geodesic computation on implicit surfaces. International Journal of Information Science and Computer Mathematics, 2, 33-49.
  • Hongchuan, Y., Wenjuan, C. and Jian J, Z., 2010. Example based caricature synthesis. Advances in Computer Science and Engineering, 5, 49-71.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Tong, X., Sun, H., Pu, H. and Yu, H., 2004. An Improved LDI Algorithm for High Quality Image Rendering. Computer Engineering and Applications, 40.
  • 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.
  • Yu, H. and Tang, Z., 2003. Estimation of motion parameters and image rectification. Pattern Recognition and Artificial Intelligence, 16, 22.
  • 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.
  • Lu, H., Yu, H., Ding, Y. and Zhang, Q., 1983. Changing stress field in the middle segment of the Tan-Lu fault zone, eastern China. Tectonophysics, 98 (3-4), 253-270.

Chapters

  • Migdalovici, M., Vladareanu, L., Pop, N., Yu, H., Iliescu, M., Vladareanu, V., Baran, D. and Vladeanu, G., 2018. Critical position using environment model applied on walking robots. Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0. 165-177.
  • Wang, H., Lin, M., Jin, Z., Wang, X., Niu, J., Yu, H., Zhang, L. and Vladareanu, L., 2018. Training system design of lower limb rehabilitation robot based on virtual reality. Emerging Technologies for Health and Medicine: Virtual Reality, Augmented Reality, Artificial Intelligence, Internet of Things, Robotics, Industry 4.0. 203-221.
  • 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.
  • Yu, H. and Zhang, J.J., 2010. Apply GPCA to Motion Segmentation. In: Shao, L., Zhang, L. and Jones, G.A., eds. Intelligent Video Event Analysis and Understanding. Springer-Verlag, 21-38.
  • 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.
  • 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. 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 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 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

  • Wang, X., Wang, Y., Geng, Y., Yu, H., Yang, H., Wen, X. and Wang, A., 2023. A survey of attention mechanisms for wearable sensor-based human activity recognition. CEUR Workshop Proceedings, 3459, 25-36.
  • Yu, H. and Cheng, B., 2023. AdaBoost Based Multimodal Learning. CEUR Workshop Proceedings, 3495, 16-23.
  • Wang, X., Guo, Y., Zhao, Y. and Yu, H., 2022. The New Progress and Methods of Privacy Protection on Medical and Health Big Data*. International Conference on Software, Knowledge Information, Industrial Management and Applications, SKIMA, 2022-December, 73-78.
  • Liu, Y., Li, M., Li, F. and Yu, H., 2022. Exponentially Tracking Control of Nonholonomic Wheeled Mobile Robot based on Contraction Theory. 2022 IEEE International Conference on Robotics and Biomimetics, ROBIO 2022, 1820-1825.
  • Fan, K., Liu, Y., Zhang, K., Bian, G. and Yu, H., 2022. ADRC Based Multi-task Priority Tracking Control for Collaborative Robots. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13606 LNAI, 439-450.
  • Zhao, Y., Zhang, S. and Yu, H., 2022. A Survey on Soft Sensor of Free Calcium Oxide Content. 2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022.
  • Wang, X., Shi, P., Li, J., Yang, Y., Yang, F., Yu, H. and Wang, J., 2022. Privacy-preserving Mechanisms of Continuous Location Queries Based on LBS: A Comprehensive Survey. 2022 27th International Conference on Automation and Computing: Smart Systems and Manufacturing, ICAC 2022.
  • Li, J., Guo, Q., Gao, G., Tang, S., Min, G., Li, C. and Yu, H., 2022. An Improved Point-to-Feature Recognition Algorithm for 3D Vision Detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13456 LNAI, 197-209.
  • Tao, C., Zhang, Z., Huo, B., Liu, Y., Li, J. and Yu, H., 2022. Improved Cascade Active Disturbance Rejection Control for Functional Electrical Stimulation Based Wrist Tremor Suppression System Considering the Effect of Output Noise. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13456 LNAI, 232-244.
  • Cao, G., Shi, H., Xia, D., Zheng, Y., Liu, Y. and Yu, H., 2022. Observer-Based Adaptive Sliding Mode Control for Soft Actuators with Input Constraints. Lecture Notes in Electrical Engineering, 801 LNEE, 524-533.
  • Song, S., Yang, L., Huo, B., Wu, M., Liu, Y. and Yu, H., 2022. Electromyographic Signal Based Dynamic Hand Gesture Recognition Using Transfer Learning. Lecture Notes in Electrical Engineering, 801 LNEE, 389-397.
  • Liu, Y., Jin, Z., Huo, B., Guan, Q. and Yu, H., 2022. Self-balance Control of Bicycle with Inertial Wheel Pendulum based on Linear ADRC. Proceedings - 2022 Chinese Automation Congress, CAC 2022, 2022-January, 6403-6408.
  • Wang, X., Wang, Y., Lu, C., Yu, H., He, H. and Li, Z., 2021. A case study: Effect of wrist sensor displacement on HAR performance using LSTM and attention mechanism. International Conference on Advanced Mechatronic Systems, ICAMechS, 2021-December, 103-108.
  • Song, S., Yang, L., Wu, M., Liu, Y. and Yu, H., 2021. Dynamic Hand Gesture Recognition via Electromyographic Signal Based on Convolutional Neural Network. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 876-881.
  • Chanrueang, S., Thammaboosadee, S., Goh, K. and Yu, H., 2021. User Emotion Direction for Recommendation Systems-A Decade Review. 2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021.
  • Beg, M., Sun, D., Popescu, C.M., Alcock, K.M., Onyianta, A.J., O'Rourke, D., Goh, K. and Yu, H., 2021. Portsmouth, UK, 2-4 September 2021 Processing and characterisation of water hyacinth cellulose nanofibres-based aluminium-ion battery separators. 2021 26th International Conference on Automation and Computing: System Intelligence through Automation and Computing, ICAC 2021.
  • Cao, G., Shi, H., Zhang, X., Zhu, Z., Liu, Y. and Yu, H., 2021. Continuous Super-Twisting Observer-Based Super-Twisting Control of Euler-Lagrange Systems. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13013 LNAI, 455-465.
  • Zheng, J., Qin, M., Yu, H. and Wang, W., 2018. An efficient truncated nuclear norm constrained matrix completion for image inpainting. ACM International Conference Proceeding Series, 97-106.
  • Yu, H., Komura, T. and Zhang, J.J., 2017. Workshop: Data-Driven Animation Technology (D2AT). SIGGRAPH Asia 2017 Workshops, SA 2017.
  • Wang, J., Tian, F., Liu, C.H., Yu, H., Wang, X. and Tang, X., 2017. Robust nonnegative matrix factorization with ordered structure constraints. Proceedings of the International Joint Conference on Neural Networks, 2017-May, 478-485.
  • Tongpaeng, Y., Sureephong, P., Rattanakhum, M. and Yu, H., 2017. Thai dance knowledge archive framework based on Labanotation represented in 3D animation. 2nd Joint International Conference on Digital Arts, Media and Technology 2017: Digital Economy for Sustainable Growth, ICDAMT 2017, 66-70.
  • Wang, J., Tian, F., Wang, X., Yu, H., Liu, C.H. and Yang, L., 2017. Multi-component nonnegative matrix factorization. IJCAI International Joint Conference on Artificial Intelligence, 0, 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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9948 LNCS, 435-444.
  • Yuan, F., Yu, H. and Burrows, B., 2012. A review of methods for hydrodynamic analysis of helical swimming flagella. ICAC 12 - Proceedings of the 18th International Conference on Automation and Computing: Integration of Design and Engineering, 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. Proc. SPIE, 4875.
  • 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. 2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010, 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. ASMS/SPSC 2010: 2010 5th Advanced Satellite Multimedia Systems Conference and the 11th Signal Processing for Space Communications Workshop, 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.
  • Adu, B.O., Atkins, A.S., Yu, H. and Nix, D.L., 2010. Integrated information systems using emerging RFID technology in the hospitality industry. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 78-83.
  • Zhang, L., Atkins, A.S. and Yu, H., 2010. RFID technology in intelligent tracking systems in construction waste logistics using optimisation techniques. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 84-89.
  • Nazmul Huda, M., Whittaker, J., Wane, S.O. and Yu, H., 2010. Advancing towards rescuer robot team. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 313-317.
  • Monzur Morshed, M., Atkins, A.S., Yu, H. and Mostofa Akbar, M., 2010. An airport baggage handling system using RFID technology: A proposed architecture. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 107-112.
  • Chernbumroong, S., Atkins, A.S. and Yu, H., 2010. Perception of smart home technologies to assist elderly people. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 90-97.
  • Zheng, X., Yu, H. and Atkins, A., 2010. Visual simulation-based hospital theatre management system. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 171-175.
  • Choosri, N., Chernbumroong, S., Intaya, S., Singjai, A., Atkins, A. and Yu, H., 2010. Zoo application of RFID technology: A case study of Chiang Mai Zoo, Thailand. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 71-77.
  • Kamal, J.M.M., Hasan, M.S., Carrington, A.L. and Yu, H., 2010. Vehicular ad hoc network paradigm and evaluation of IEEE 802.11a and IEEE 802.11p using realistic vehicular traces. SKIMA 2010 - Proceedings of the 4th International Conference on Software, Knowledge, Information Management and Applications: ''Towards Happiness and Sustainable Development'', 246-255.
  • Liu, Y. and Yu, H., 2009. Variable structure control of a capsule robot system. Proceedings of the 2009 IEEE International Conference on Networking, Sensing and Control, ICNSC 2009, 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. ICEIS 2008 - 10th International Conference on Enterprise Information Systems, Proceedings, SAIC, 190-195.
  • 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. IFAC Proceedings Volumes (IFAC-PapersOnline), 17 (1 PART 1).
  • Liu, Y., Yu, H. and Yang, T.C., 2008. Analysis and control of a capsubot. IFAC Proceedings Volumes (IFAC-PapersOnline), 17 (1 PART 1).
  • Zheng, X., Yu, H. and Atkins, A., 2008. An overview of simulation in Supply Chains. Advanced Design and Manufacture to Gain a Competitive Edge: New Manufacturing Techniques and their Role in Improving Enterprise Performance, 407-416.
  • Harding, C., Griffiths, A. and Yu, H., 2007. An interface between MATLAB and OPNET to allow simulation of WNCS with MANETs. 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07, 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. Proceedings of the IEEE Conference on Decision and Control, 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. ECCV (3), 3023, 288-301 Springer.
  • 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. SPIE Proceedings, 4553.
  • 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. Proc. SPIE, 4550.
  • 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. IEEE.
  • Yu, H., Wang, D. and Tang, Z., 2001. Level Set Methods and Image Segmentation. MIAR, 204 IEEE Computer Society.
  • Yang, T.C., Ding, Z.T. and Yu, H., 2000. Research into Quasi-decentralised control. Proceedings of the World Congress on Intelligent Control and Automation (WCICA), 4, 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. Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on, 2.
  • 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. Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on, 2.

Theses

PhD Students

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

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