Topology, Algorithm, Polygon mesh, Computation and Computer graphics are his primary areas of study. His Topology study combines topics from a wide range of disciplines, such as Hexahedron, Surface, Mesh parameterization, Variational method and Image-based meshing. His Algorithm study combines topics in areas such as Point cloud, Ellipse, Feature, Rotation and Voxel.
His study focuses on the intersection of Polygon mesh and fields such as Geometric modeling with connections in the field of Conical surface, Volume mesh, Developable surface, Principal curvature and Computational geometry. The various areas that he examines in his Computation study include Voronoi diagram, Centroidal Voronoi tessellation, Mean curvature and Mathematical optimization. The study incorporates disciplines such as Function and Visualization, Data visualization in addition to Computer graphics.
Yang Liu spends much of his time researching Artificial intelligence, Algorithm, Polygon mesh, Topology and Surface. His Artificial intelligence study integrates concerns from other disciplines, such as Natural language processing, Computer vision and Pattern recognition. His studies examine the connections between Algorithm and genetics, as well as such issues in Mathematical optimization, with regards to Curve fitting, Applied mathematics and Computer graphics.
His study in Polygon mesh is interdisciplinary in nature, drawing from both Parametrization, Hexahedron and Volume mesh. As a part of the same scientific family, Yang Liu mostly works in the field of Topology, focusing on Centroidal Voronoi tessellation and, on occasion, Generalization. As part of the same scientific family, Yang Liu usually focuses on Surface, concentrating on Voronoi diagram and intersecting with Computation and Speedup.
Yang Liu focuses on Artificial intelligence, Octree, Convolutional neural network, Algorithm and Data mining. Much of his study explores Artificial intelligence relationship to Pattern recognition. His Octree research is within the category of Computer vision.
His work carried out in the field of Algorithm brings together such families of science as Parametrization, Polygon mesh and Surface. His Polygon mesh research is multidisciplinary, incorporating elements of Feature and Global optimization. Yang Liu has included themes like Artificial neural network and Point in his Surface study.
Yang Liu mostly deals with Dialog box, Data mining, Polygon mesh, Artificial intelligence and Convolutional neural network. His study in the fields of Dialog system under the domain of Dialog box overlaps with other disciplines such as Open domain and Task. His Visualization study in the realm of Data mining interacts with subjects such as Scale and Key.
His work deals with themes such as Algorithm, Convolution, Surface and Kernel, which intersect with Polygon mesh. His work on Shape analysis, Unsupervised learning and Representation as part of his general Artificial intelligence study is frequently connected to Class, thereby bridging the divide between different branches of science. Yang Liu has researched Convolutional neural network in several fields, including Point cloud, Segmentation and Tangent.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
O-CNN: octree-based convolutional neural networks for 3D shape analysis
Peng-Shuai Wang;Yang Liu;Yu-Xiao Guo;Chun-Yu Sun.
ACM Transactions on Graphics (2017)
On centroidal voronoi tessellation—energy smoothness and fast computation
Yang Liu;Wenping Wang;Bruno Lévy;Feng Sun.
ACM Transactions on Graphics (2009)
Geometric modeling with conical meshes and developable surfaces
Yang Liu;Helmut Pottmann;Johannes Wallner;Yong-Liang Yang.
international conference on computer graphics and interactive techniques (2006)
Fitting B-spline curves to point clouds by curvature-based squared distance minimization
Wenping Wang;Helmut Pottmann;Yang Liu.
ACM Transactions on Graphics (2006)
Lp Centroidal Voronoi Tessellation and its applications
Bruno Lévy;Yang Liu.
international conference on computer graphics and interactive techniques (2010)
Geometry of multi-layer freeform structures for architecture
Helmut Pottmann;Yang Liu;Johannes Wallner;Alexander Bobenko.
international conference on computer graphics and interactive techniques (2007)
Computation of rotation minimizing frames
Wenping Wang;Bert Jüttler;Dayue Zheng;Yang Liu.
ACM Transactions on Graphics (2008)
StoryFlow: Tracking the Evolution of Stories
Shixia Liu;Yingcai Wu;Enxun Wei;Mengchen Liu.
IEEE Transactions on Visualization and Computer Graphics (2013)
Isotropic remeshing with fast and exact computation of Restricted Voronoi Diagram
Dong-Ming Yan;Bruno Lévy;Yang Liu;Feng Sun.
symposium on geometry processing (2009)
Motion-guided mechanical toy modeling
Lifeng Zhu;Weiwei Xu;John Snyder;Yang Liu.
international conference on computer graphics and interactive techniques (2012)
Profile was last updated on December 6th, 2021.
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