What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geometry
- Algorithm
Wenping Wang mostly deals with Algorithm, Mathematical optimization, Topology, Computation and Geometry.
His work carried out in the field of Algorithm brings together such families of science as Point cloud, Minimum bounding box algorithms, Minification, Coherence and Computer animation.
His Mathematical optimization study combines topics from a wide range of disciplines, such as Curve fitting, Computer graphics, Data point and Rate of convergence.
His Topology research incorporates themes from Polygon mesh and Variational method.
His Computation study combines topics from a wide range of disciplines, such as Time complexity, Planar and Voronoi diagram, Centroidal Voronoi tessellation.
His Geometry research integrates issues from Bounding sphere, Minimum bounding box and Collision detection.
His most cited work include:
- Geometric modeling with conical meshes and developable surfaces (307 citations)
- Fitting B-spline curves to point clouds by curvature-based squared distance minimization (265 citations)
- On centroidal voronoi tessellation—energy smoothness and fast computation (219 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Artificial intelligence, Algorithm, Computer vision, Geometry and Surface.
In most of his Artificial intelligence studies, his work intersects topics such as Pattern recognition.
His research in Algorithm intersects with topics in Point cloud, Medial axis, Representation and Mathematical optimization.
The Mathematical optimization study combines topics in areas such as Curve fitting, Data point and Rate of convergence.
His research investigates the link between Geometry and topics such as Mathematical analysis that cross with problems in Collision detection.
Wenping Wang works mostly in the field of Surface, limiting it down to topics relating to Topology and, in certain cases, Centroidal Voronoi tessellation, as a part of the same area of interest.
He most often published in these fields:
- Artificial intelligence (26.89%)
- Algorithm (19.67%)
- Computer vision (17.05%)
What were the highlights of his more recent work (between 2017-2021)?
- Artificial intelligence (26.89%)
- Computer vision (17.05%)
- Pattern recognition (7.87%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Point cloud.
Wenping Wang interconnects Point, Benchmark and Graphics in the investigation of issues within Computer vision.
The concepts of his Pattern recognition study are interwoven with issues in Pyramid and Deep learning.
His research on Algorithm focuses in particular on Computation.
His Point cloud study combines topics in areas such as Robot and Net.
His work investigates the relationship between Representation and topics such as Medial axis that intersect with problems in Collision avoidance.
Between 2017 and 2021, his most popular works were:
- TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents (141 citations)
- Dynamic Mobile Crowdsourcing Selection for Electricity Load Forecasting (63 citations)
- Neural Rendering and Reenactment of Human Actor Videos (60 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Geometry
- Computer vision
Wenping Wang focuses on Artificial intelligence, Computer vision, Artificial neural network, Convolutional neural network and Rendering.
Wenping Wang studies Artificial intelligence, focusing on Deep learning in particular.
His work carried out in the field of Computer vision brings together such families of science as Range, Skeleton and Correlation.
His research integrates issues of Segmentation, Feature, Identification, Enhanced Data Rates for GSM Evolution and Symmetry in his study of Artificial neural network.
Wenping Wang focuses mostly in the field of Convolutional neural network, narrowing it down to topics relating to Image sensor and, in certain cases, Moiré pattern, Image, Benchmark and Data set.
The various areas that Wenping Wang examines in his Rendering study include Sketch, Image synthesis, Graphics pipeline and Graphics.
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