Dr. Yu-Kun Lai

Reader Visual Computing Group School of Computer Science and Informatics Cardiff University, Wales, UK Contact Info Office: S/3.06 Queen's Buildings, 5 The Parade, Roath, Cardiff CF24 3AA Tel: +44 (0) 29 20876353 Email: Yukun.Lai (at) cs.cardiff.ac.uk Publications   Teaching    Prizes and Honours  Education      CV

Professional Activities        

I am on the editorial board of The Visual Computer.

I was conference co-chair of Computation Visual Media (CVM) 2016 and Eurographics Symposium on Geometry Processing (SGP) 2014.

I have been on the programme committee of

• ACM Symposium on Solid and Physical Modeling (ACM SPM, SIAM GD/SPM) 2012-2018
• Geometric Modeling and Processing (GMP) 2012, 2014-2018
• Eurographics Symposium on Geometry Processing (SGP) 2014, 2015, 2017, 2018
• Computer Graphics International (CGI) 2018
• Computational Visual Media (CVM) 2012, 2013, 2015, 2017, 2018, 2019
• Pacific Graphics (PG) 2012, 2015-2018
• CAD/Graphics 2011, 2013, 2015, 2017
• SIGGRAPH Asia Technical Briefs & Posters 2014-2016
• Expressive 2014-2016, 2018
• British Machine Vision Conference 2015-2017 (reviewer), 2018 (Area Chair)
• Eurographics 2011 short papers
• International Symposium on Visual Computing (ISVC) 2018
• Computer Animation and Social Agents (CASA) 2010

I am also a regular reviewer for major journals/conferences in computer graphics, computer vision and geometric modelling.

Research Interests

• Computer Graphics
• Geometry Processing
• Computer Vision
• Image Processing

In other words, my research interests include creating nice images/shapes/animation automatically or with a small amount of user interaction and developing automatic algorithms to understand and analyse visual data and present data in an interesting manner.

If you are an undergraduate or master student interested in doing research in these exciting and highly rewarded fields, send me an email.

Some potential projects (but more are possible).

• 3D Shape Analysis using Deep Learning

  PROJECT TITLE: 3D Shape Analysis using Deep Learning

  KEYWORDS:3D geometry, machine learning, convolutional neural networks, shape

  DESCRIPTION:3D shapes have proliferated in recent years, due to the availability of low-cost 3D cameras such as Kinect and Occipital Structure sensors, and their wide applicability in manufacturing design, entertainment industry, digital earth, 3D printing, and virtual reality etc. Online databases such as Trimble 3D Warehouse contain millions of 3D shapes. It is an increasing challenge to describe complicated 3D shapes effectively and analyse shapes at a high-level, e.g. to recognise objects in a scene or to find reusable parts for manufacturing design. Deep learning has shown to be an effective approach in image analysis, achieving state-of-the-art performance in many tasks. The aim of the project is to develop deep learning techniques for 3D shape analysis.

• 3D Model Segmentation and Analysis

  PROJECT TITLE: 3D Model Segmentation and Analysis

  KEYWORDS: geometric models, shape analysis, segmentation, computer graphics, computer-aided design

  DESCRIPTION: With the development of 3D acquisition techniques, 3D models are now widely available and used in various applications. The demand for model analysis and understanding is thus ever increasing. Model segmentation, i.e. decomposing a model into a set of disjoint, meaning pieces (e.g. limbs and torso of an animal) or ones which satisfy other desirable criteria (e.g. with consistent shape or texture constraint). Model segmentation is an important step towards model understanding and has broad applications, such as reverse engineering in computer-aided geometric design, as well as simplification, collision detection, morphing and animation in computer graphics. This project aims at investigating effective and efficient solutions to model segmentation, using various computer vision techniques.

• Image and Video Vectorisation

PROJECT TITLE: Image and Video Vectorisation

KEYWORDS: image and video processing, computer graphics, image compression, image editing

DESCRIPTION: Vector graphics are well-known to offer various advantages over raster graphics. Many images, ranging from artistic work to captured photos, have relatively uniform or smoothly changing colours, and representing them using vector graphics can lead to significant savings of storage and network bandwidth. They are also resolution-independent and easy to edit, making them particularly suitable for animation transmitted over the Internet, such as SVG and Shockwave Flash. Manual creation of vectorised graphics takes a huge amount of time. The aim of this project is to investigate robust and efficient solutions to computer aided generation of vectorised images and videos.

• Modelling and Transferring Geometric Details over 3D Shapes

  PROJECT TITLE: Modelling and Transferring Geometric Details over 3D Shapes

  KEYWORDS: geometric models, shape analysis, computer graphics, computer vision

  DESCRIPTION: The recent development of 3D acquisition techniques allows complicated geometric models with fine details to be digitally captured. In many cases, such details reveal the essential geometric textures or the particular artistic styles (e.g. sculpture, woodcut etc.) of the objects. Modelling geometric textures or styles from one object makes it possible to reproduce similar textures or styles over new models. This not only brings richness to new objects, but also allows newly created objects to be stylised as exemplars. In this project, shape analysis and computer vision techniques will be utilised to appropriately analyse and model the geometric details and further algorithms to transfer such models will be investigated.

If you are interested in applying for CSC funding: Cardiff University is an official partner of China Scholarship Council (CSC). There are schemes for joint funding with tuition fees waived. If you are interested in applying for CSC funding, please discuss this with me as additional deadline/steps may apply.

Teaching Activities

I teach the following modules in the academic year 2017/18:

• CM1208 Maths for Computer Science (shared with Dr. H. Liu)
• CM2104 Computational Mathematics (shared with Dr. R. Booth)
• CM2208 Scientific Computing (shared with Prof. A. D. Marshall)
• CMT205 Object Oriented Development with Java (shared with Dr. M.J.W. Morgan)

2018

		Sparse MDMO: Learning a Discriminative Feature for Micro-Expression Recognition Yong-Jin Liu, Bing-Jun Li, Yu-Kun Lai IEEE Transactions on Affective Computing, to appear [paper] [doi]
		Robust non-rigid registration with reweighted position and transformation sparsity Kun Li, Jingyu Yang, Yu-Kun Lai, Daoliang Guo IEEE Transactions on Visualization and Computer Graphics, to appear [paper] [doi]
		Bi-harmonic deformation transfer with automatic key point selection Jie Yang, Lin Gao, Yu-Kun Lai, Paul L. Rosin, Shihong Xia Graphical Models, vol. 98, pp. 1-13, 2018 [paper] [doi]
		Knowledge graph construction with structure and parameter learning for indoor scene design Yuan Liang, Fei Xu, Song-Hai Zhang, Yu-Kun Lai, Taijiang Mu Computational Visual Media, vol. 4(2), pp. 123-137, 2018 [paper] [doi]
		When facial expressions do and do not signal minds: The role of face inversion, expression dynamism, and emotion type Eva G. Krumhuber, Yu-Kun Lai, Paul L. Rosin, Kurt Hugenberg Emotion, to appear [paper]
		Weakly Supervised Coupled Networks for Visual Sentiment Analysis Jufeng Yang, Dongyu She, Yu-Kun Lai, Paul L. Rosin, Ming-Hsuan Yang IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (spotlight), 2018 [paper] [official version]
		Content-Sensitive Supervoxels via Uniform Tessellations on Video Manifolds Ran Yi, Yong-Jin Liu, Yu-Kun Lai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [paper] [official version]
		CartoonGAN: Generative Adversarial Networks for Photo Cartoonization Yang Chen, Yu-Kun Lai, Yong-Jin Liu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [paper] [official version] [trained models]
		Variational Autoencoders for Deforming 3D Mesh Models Qingyang Tan, Lin Gao, Yu-Kun Lai, Shihong Xia IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 [paper] [official version]  [arXiv preprint]
		Alive Caricature from 2D to 3D Qianyi Wu, Juyong Zhang, Yu-Kun Lai, Jianmin Zheng, Jianfei Cai IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (spotlight), 2018 [paper] [official version]  [arXiv preprint]
		Robust Virtual Unrolling of Historical Parchment XMT Images Chang Liu, Paul L. Rosin, Yu-Kun Lai, Weiduo Hu IEEE Transactions on Image Processing, vol. 27(4), pp. 1914-1926, 2018. [paper] [doi]
		Online low-rank representation learning for joint multi-subspace recovery and clustering Bo Li, Risheng Liu, Junjie Cao, Jie Zhang, Yu-Kun Lai, Xiuping Liu IEEE Transactions on Image Processing, vol. 27(1), pp. 335-348, 2018 [paper] [doi]
		Scribble-based gradient mesh recoloring Liang Wan, Yi Xiao. Ning Dou, Chi-Sing Leung, Yu-Kun Lai Multimedia Tools and Applications, vol. 77(11), 13753-13771, 2018. [paper] [doi]
		Mesh-based Autoencoders for Localized Deformation Component Analysis Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia AAAI Conference on Artificial Intelligence (spotlight), 2018 [paper] [official version] [code]
		Retrieving and Classifying Affective Images via Deep Metric Learning Jufeng Yang, Dongyu She, Yu-Kun Lai, Ming-Hsuan Yang AAAI Conference on Artificial Intelligence (oral), 2018 [paper] [official version]

2017

		Example-based image colorization using locality consistent sparse representation Bo Li, Fuchen Zhao, Zhuo Su, Xiangguo Liang, Yu-Kun Lai, Paul L. Rosin IEEE Transactions on Image Processing, vol. 26(11), 5188-5202, 2017 [paper] [doi]
		SPA: Sparse Photorealistic Animation Using a Single RGB-D Camera Kun Li, Jingyu Yang, Leijie Liu, Ronan Boulic, Yu-Kun Lai, Yebin Liu, Yubin Li, Eray Molla IEEE Transactions on Circuits and Systems for Video Technology, vol. 27(4): 771-783, 2017 [paper] [doi]
		Example-based image colorization via automatic feature selection and fusion Bo Li, Yu-Kun Lai, Paul L. Rosin Neurocomputing, vol. 266, 687-698, 2017 [paper] [doi]
		Data-Driven Shape Interpolation and Morphing Editing Lin Gao, Shu-Yu Chen, Yu-Kun Lai, Shihong Xia Computer Graphics Forum, vol. 36(8), pp. 19-31, 2017. [paper] [doi]
		Rigidity Controllable As-Rigid-As-Possible Shape Deformation Shu-Yu Chen, Lin Gao, Yu-Kun Lai, Shihong Xia Graphical Models, vol. 91: 13-27, 2017 [paper] [doi]
		Superlensing Microscope Objective Lens Bing Yan, Zengbo Wang, Alan L. Parker, Yu-Kun Lai, P. John Thomas, Liyang Yue, James N. Monks Applied Optics, vol. 56(11), pp. 3142-3147, 2017 [paper] [doi]
		A survey on human performance capture and animation Shihong Xia, Lin Gao, Yu-Kun Lai, Ming-Ze Yuan, Jinxiang Chai Journal of Computer Science and Technology, vol. 32(3), 536-554, 2017 [paper] [doi]
		Learning to Rank Retargeted Images Yang Chen, Yong-Jin Liu, Yu-Kun Lai IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 [paper] [doi]  [code]
		3-D Motion Recovery via Low Rank Matrix Restoration on Articulation Graphs Kun Li, Meiyuan Wang, Yu-Kun Lai, Jingyu Yang, Feng Wu IEEE International Conference on Multimedia and Expo (ICME), 2017 [paper] [doi]
		Global alignment for deformable objects captured by a single RGB-D camera Daoliang Guo, Kun Li, Yu-Kun Lai, Jingyu Yang IEEE International Conference on Multimedia and Expo (ICME), 2017 [paper] [doi]
		Transforming photos to comics using convolutional neural networks Yang Chen, Yu-Kun Lai, Yong-Jin Liu IEEE International Conference on Image Processing (ICIP), 2017 [paper]
		Depth-aware neural style transfer Xiao-Chang Liu, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2017 [paper] [doi]
		Benchmarking non-photorealistic rendering of portraits Paul L. Rosin, David Mould, Itamar Berger, John Collomosse, Yu-Kun Lai, Chuan Li, Hua Li, Ariel Shamir, Michael Wand, Tinghuai Wang, Holger Winnemöller Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2017 [paper] [doi] [dataset]
		Watercolour Rendering of Portraits Paul L. Rosin, Yu-Kun Lai PSIVT Workshop on Vision meets Graphics, 2017 [paper]

2016

		Efficient and Flexible Deformation Representation for Data-Driven Surface Modeling Lin Gao, Yu-Kun Lai, Dun Liang, Shu-Yu Chen, Shihong Xia ACM Transactions on Graphics, vol. 35(5), pp.158:1-17, 2016 [paper] [doi] [video] [cover]
		Fast Capture of Textured Full-Body Avatar with RGB-D Cameras Shuai Lin, Yin Chen, Yu-Kun Lai, Ralph R. Martin, Zhi-Quan Cheng The Visual Computer, vol. 32(6-8), pp. 681-691, 2016 [paper] [doi]
		Color-aware surface registration Shuai Lin, Yu-Kun Lai, Ralph R. Martin, Shiyao Jin, Zhi-Quan Cheng Computers & Graphics, vol. 58, pp. 31-42, 2016 [paper] [doi]
		Semantic retrieval of trademarks based on conceptual similarity Fatahiyah Mohd Anuar, Rossitza Setchi, Yu-Kun Lai IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46(2), pp. 220-233, 2016 [paper] [doi]
		Saliency guided local and global descriptors for effective action recognition Ashwan Abdulmunem, Yu-Kun Lai, Xianfang Sun Computational Visual Media, vol. 2(1), pp. 97-106, 2016 [paper] [doi]
		3D GLOH features for human action recognition Ashwan Abdulmunem, Yu-Kun Lai, Xianfang Sun International Conference on Pattern Recognition (ICPR), 2016 [paper] [doi]
		3-D motion recovery via low rank matrix analysis Meiyuan Wang, Kun Li, Feng Wu, Yu-Kun Lai, Jingyu Yang IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016 [paper] [doi]
		Recovering historical film footage by processing microtomographic images Chang Liu, Paul L. Rosin, Yu-Kun Lai, Graham R. Davis, David Mills, Charles Norton World Cultural Heritage Conference, 2016 [paper] [doi]

2015

		Active Exploration of Large 3D Model Repositories Lin Gao, Yan-Pei Cao, Yu-Kun Lai, Hao-Zhi Huang, Leif Kobbelt, Shi-Min Hu IEEE Transactions on Visualization and Computer Graphics, vol. 21(12), pp. 1390-1402, 2015 [paper] [doi] [video]
		Optimization-based gradient mesh colour transfer Yi Xiao, Liang Wan, Chi Sing Leung, Yu-Kun Lai, Tien-Tsin Wong Computer Graphics Forum, vol. 34(6), pp. 123-134, 2015 [paper] [doi]
		Sparse non-rigid registration of 3D shapes Jingyu Yang, Ke Li, Kun Li, Yu-Kun Lai Computer Graphics Forum, vol. 34(5), pp. 89-99, 2015 [paper] [doi]
		3D indoor scene modeling from RGB-D data: a survey Kang Chen, Yu-Kun Lai, Shi-Min Hu Computational Visual Media, vol. 1(4), pp. 267-278, 2015 [paper] [doi]
		Non-photorealistic rendering of portraits Paul L. Rosin, Yu-Kun Lai Proc. Computational Aesthetics, 2015 [paper] [doi]
		Robust segmentation of historical parchment XMT images for virtual unrolling Chang Liu, Paul L. Rosin, Yu-Kun Lai, Weiduo Hu Proc. Digital Heritage, 2015 [paper] [doi]

2014

		Automatic Semantic Modeling of Indoor Scenes from Low-quality RGB-D Data using Contextual Information Kang Chen, Yu-Kun Lai, Yu-Xin Wu, Ralph R. Martin, Shi-Min Hu ACM Transactions on Graphics (ACM SIGGRAPH Asia), vol. 33(6), 208:1-12, 2014 [paper] [doi] [project]
		BiggerPicture: Data-driven Image Extrapolation Using Graph Matching Miao Wang, Yu-Kun Lai, Yuan Liang, Ralph R. Martin, Shi-Min Hu ACM Transactions on Graphics (ACM SIGGRAPH Asia), vol. 33(6), 173:1-13, 2014 [paper] [doi] [project]
		Diffusion Pruning for Rapidly and Robustly Selecting Global Correspondences using Local Isometry Gary K.L. Tam, Ralph R. Martin, Paul L. Rosin, Yu-Kun Lai ACM Transactions on Graphics, vol. 33(1), Article No. 4, pp. 1-17, 2014 [paper] [doi] [cover] [executable] [request MATLAB code]
		Parametric Meta-Filter Modeling from a Single Example Pair Shi-Sheng Huang, Guo-Xin Zhang, Yu-Kun Lai, Johannes Kopf, Daniel Cohen-Or, Shi-Min Hu The Visual Computer, vol. 30(6-8), pp. 673--684, 2014 [paper] [doi] [project]
		Efficient Circular Thresholding Yu-Kun Lai, Paul L. Rosin IEEE Transactions on Image Processing, vol. 23(3), pp. 992-1001, 2014 [paper] [doi] [code]
		Virtual unrolling and information recovery from scanned historical documents Oksana Samko, Yu-Kun Lai, David Marshall, Paul L. Rosin Pattern Recognition, vol. 47(1), pp. 248-259, 2014 [paper] [doi]
		Artistic rendering enhancing global structure Yu-Kun Lai, Paul L. Rosin The Visual Computer, vol. 30(10), pp. 1179-1193, 2014 [paper] [doi]
		Use of non-photorealistic rendering and photometric stereo in making bas-reliefs from photographs Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Yu-Kun Lai, Yonghuai Liu, Christian Wallraven Graphical Models, vol. 76(4), pp. 202-213, 2014 [paper] [doi]
		An Efficient Approach to Correspondences between Multiple Non-Rigid Parts Gary K.L. Tam, Ralph R. Martin, Paul L. Rosin, Yu-Kun Lai Computer Graphics Forum vol. 33(5), pp. 137-146, 2014 [paper] [doi]
		Apocalypto: revealing the Bressingham roll David Mills, Antoinette Curtis, Graham Davis, Paul L. Rosin, Yu-Kun Lai Journal of Paper Conservation, vol. 15(3), pp. 14-19, 2014 [paper]

2013

		A Data-Driven Approach to Realistic Shape Morphing Lin Gao, Yu-Kun Lai, Qixing Huang and Shi-Min Hu Computer Graphics Forum (Eurographics), vol. 32(2), 449-457, 2013 [paper] [doi] [video]
		Generalized Anisotropic Stratified Surface Sampling Jon Quinn, Frank Langbein, Yu-Kun Lai, Ralph R. Martin IEEE Transactions on Visualization and Computer Graphics, vol. 19(7), 1143-1157, 2013 [paper] [doi]
		Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Non-Rigid Gary K.L. Tam, Zhi-Quan Cheng, Yu-Kun Lai, Frank Langbein, Yonghuai Liu, David Marshall, Ralph R. Martin, Xianfang Sun and Paul L. Rosin IEEE Transactions on Visualization and Computer Graphics, vol. 19(7), 1199-1217, 2013 [paper] [doi]
		Efficient Synthesis of Gradient Solid Textures Guo-Xin Zhang, Yu-Kun Lai, Shi-Min Hu Graphical Models, vol. 75(3), 104-117, 2013 (Preliminary version appears in Proc. Computational Visual Media 2012 and receives Best Paper Award) [paper] [doi]
		Example-based Color Transfer for Gradient Meshes Yi Xiao, Liang Wan, Chi-Sing Leung, Yu-Kun Lai, Tien-Tsin Wong IEEE Transactions on Multimedia, vol. 15(3), pp. 549-560, 2013 [paper] [doi]
		Artistic minimal rendering with lines and blocks Paul L. Rosin, Yu-Kun Lai Graphical Models, vol. 75(4), pp. 208-229, 2013 [paper] [doi]
		SuperMatching: feature matching using supersymmetric geometric constraints Zhi-Quan Cheng, Yin Chen, Ralph R. Martin, Yu-Kun Lai, Aiping Wang IEEE Transactions on Visualization and Computer Graphics, vol. 19(11), pp. 1885-1894, 2013. [paper] [doi]
		Making bas-reliefs from photographs of human faces Jing Wu, Ralph R. Martin, Paul L. Rosin, Xianfang Sun, Frank C. Langbein, Yu-Kun Lai, Dave Marshall, Yonghuai Liu Computer-Aided Design, vol. 45(3), pp. 671-682, 2013. [paper] [doi]
		Non-photorealistic rendering with spot colour Paul L. Rosin, Yu-Kun Lai Proceedings of Computational Aesthetics, pp. 67-76, 2013. [paper] [doi]
		Non-photorealistic rendering with reduced colour palettes Yu-Kun Lai, Paul L. Rosin Image and Video-based Artistic Stylisation, Computational Imaging and Vision series, vol. 42(2), pp. 211-236, Springer, 2013. [paper] [doi]

2012

		Improved Initialisation for Centroidal Voronoi Tessellation and Optimal Delaunay Triangulation Jonathan A. Quinn, Feng Sun, Frank C. Langbein, Yu-Kun Lai, Wenping Wang and Ralph R. Martin Computer-Aided Design, vol. 44(11), pp. 1062-1071, 2012 [paper] [doi]
		Vertex Location Optimisation for Improved Remeshing Yu-Kun Lai, Ralph R. Martin Graphical Models, vol. 74(4), pp. 233-243, 2012 [paper] [doi]
		Lp Shape Deformation Lin Gao, Guo-Xin Zhang, Yu-Kun Lai Science China Information Sciences, vol. 55(5), pp. 983-993, 2012 [paper] [doi]

2011

Sketch Guided Solid Texturing Guo-Xin Zhang, Song-Pei Du, Yu-Kun Lai, Tianyun Ni, Shi-Min Hu Graphical Models, vol. 73(3), pp. 59-73, 2011 [paper] [doi]

2010

		Metric Driven RoSy Field Design and Remeshing Yu-Kun Lai, Miao Jin, Xuexiang Xie, Ying He, Jonathan Palacios, Eugene Zhang, Shi-Min Hu, Xianfeng David Gu IEEE Transactions on Visualization and Computer Graphics, vol. 16(1), pp. 95-108, 2010 [paper] [doi]
		Feature Aligned Quad Dominant Remeshing using Iterative Local Updates Yu-Kun Lai, Leif Kobbelt, Shi-Min Hu Computer-Aided Design, vol. 42(2), pp. 109-117, 2010 (Preliminary version appears in Proc. ACM Solid and Physical Modeling 2008.) [paper] [doi]
		Towards Artistic Minimal Rendering Paul L. Rosin, Yu-Kun Lai ACM Symposium on Non Photorealistic Rendering (NPAR), pp. 119-127, 2010 [paper] [doi] [online demo]
		Harmonic Field Based Volume Model Construction from Triangle Soup Chao-Hui Shen, Guo-Xin Zhang, Yu-Kun Lai, Shi-Min Hu, R. R. Martin Journal of Computer Science and Technology, vol. 25(3), pp. 562-571, 2010 [paper] [doi]

2009

		Automatic and Topology Preserving Gradient Mesh Generation for Image Vectorization Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin ACM Transactions on Graphics (ACM SIGGRAPH), vol. 28(3), Article No. 85 [paper] [doi]
		Rapid and Effective Segmentation of 3D Models using Random Walks Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin Computer Aided Geometric Design, vol. 26(6), pp. 665-679, 2009 (Preliminary version appears in Proc. ACM Solid and Physical Modeling 2008). [paper] [doi] [code request]
		Stripification of Free-Form Surfaces with Global Error Bounds for Developable Approximation Yon-Jin Liu, Yu-Kun Lai, Shi-Min Hu IEEE Transactions on Automation Science and Engineering, vol. 6(4), pp. 700-709, 2009 [paper] [doi] [video] [code]
		Robust Principal Curvatures using Feature Adapted Integral Invariants Yu-Kun Lai, Shi-Min Hu, Fang Tong SIAM/ACM Joint Conference on Geometric and Physical Modeling, pp. 325-330, 2009 [paper] [doi]

2008

		Fairing Wireframes in Industrial Surface Design Yu-Kun Lai, Yong-Jin Liu, Yu Zang, Shi-Min Hu IEEE International Conference on Shape Modeling and Applications (SMI), pp. 29-35, 2008 [paper] [doi]
		Note on Industrial Applications of Hu's Surface Extension Algorithm Zang Yu, Yong-Jin and, Yu-Kun Lai Geometric Modeling Processing, pp. 304-314, 2008 [paper] [doi]

2007

		Robust Feature Classification and Editing Yu-Kun Lai, Qian-Yi Zhou, Shi-Min Hu, Johannes Wallner, Helmut Pottmann IEEE Transactions on Visualization and Computer Graphics, vol. 13, Jan/Feb, pp. 34-45, 2007 [paper] [doi]
		Principal curvatures from the integral invariant viewpoint Helmut Pottmann, Johannes Wallner, Yong-Liang Yang, Yu-Kun Lai, Shi-Min Hu Computer Aided Geometric Design, vol. 24, pp. 428-442, 2007 [paper] [doi]

2006

		Surface Fitting Based on a Feature Sensitive Parameterization Yu-Kun Lai, Shi-Min Hu, Helmut Pottmann Computer-Aided Design, Vol. 38, No. 7, pp. 800-807, 2006 [paper] [doi]
		Surface Mosaics Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin The Visual Computer (Pacific Graphics), vol. 22, no. 9-11, pp. 604-611, 2006 [paper] [doi]
		Feature Sensitive Mesh Segmentation Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin ACM Symposium on Solid and Physical Modeling, pp. 7-16, 2006 [paper] [doi]
		Robust Principal Curvatures on Multiple Scales Yong-Liang Yang, Yu-Kun Lai, Shi-Min Hu, Helmut Pottmann Eurographics Symposium on Geometry Processing, pp. 223-226, 2006 [paper] [doi]

2005

Geometric texture synthesis and transfer via geometry images Yu-Kun Lai, Shi-Min Hu, Xianfeng Gu, Ralph R. Martin ACM Symposium on Solid and Physical Modeling, pp. 15-26, 2005 [paper] [doi]

Prizes and Honours         Top

• National Excellent Doctoral Dissertation of China Award, 2010.
• Excellent PhD Graduate, Dept. of Computer Science and Technology, Tsinghua University, 2008.
• First-Class Excellent Doctoral Thesis, Tsinghua University, 2008.
• Microsoft Fellowship, 2007.
• First-Class Scholarship of Excellent Students in Tsinghua Univ. (Morgan Stanley Scholarship), 2006.
• Excellet Graduate of Tsinghua University, 2003.
• Excellent Bachelor Thesis, Tsinghua University, 2003.
  
• First-Class Scholarship of Excellent Students in Tsinghua Univ. (Sony Scholarship), 2002.
• Gold Medal in National Olympiad in Informatics (NOI) of China, 1998.

Education   Top

Visiting Experience Top

10/2007-04/2008        Center for Visual Computing, State University of New York at Stony Brook, Stony Brook, NY 11790, USA.