What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- Computer vision
His primary areas of investigation include Artificial intelligence, Computer vision, Computer network, Multiple description coding and Transform coding.
His Artificial intelligence research is multidisciplinary, incorporating perspectives in Falling and Pattern recognition.
Yao Wang combines subjects such as Mesh generation and Interpolation with his study of Computer vision.
His Computer network study incorporates themes from Wireless ad hoc network, Video quality, Communication channel and Wireless network.
Yao Wang combines subjects such as Encoder and Algorithm, Data compression, Motion compensation with his study of Transform coding.
The concepts of his Data compression study are interwoven with issues in Quality of service and Real-time computing.
His most cited work include:
- Error control and concealment for video communication: a review (1459 citations)
- Video Processing and Communications (666 citations)
- Error resilient video coding techniques (514 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Computer network.
His work in Segmentation, Image segmentation, Pixel, Cluster analysis and Image processing are all subfields of Artificial intelligence research.
His Motion compensation, Wavelet transform, Data compression, Motion estimation and Quantization investigations are all subjects of Computer vision research.
As a member of one scientific family, Yao Wang mostly works in the field of Algorithm, focusing on Encoder and, on occasion, Decoding methods.
His work carried out in the field of Computer network brings together such families of science as Wireless network, Video quality and Communication channel.
His Wireless network research focuses on Real-time computing and how it connects with Scalable Video Coding.
He most often published in these fields:
- Artificial intelligence (40.83%)
- Computer vision (28.06%)
- Pattern recognition (17.99%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (40.83%)
- Pattern recognition (17.99%)
- Computer vision (28.06%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Deep learning.
He integrates Artificial intelligence with Traumatic brain injury in his research.
In his study, Basis function and Video processing is inextricably linked to Cluster analysis, which falls within the broad field of Pattern recognition.
His Computer vision study frequently draws connections between related disciplines such as Benchmark.
His work in Segmentation tackles topics such as Ultrasound which are related to areas like Cut.
His study ties his expertise on Algorithm together with the subject of Pixel.
Between 2015 and 2021, his most popular works were:
- An experimental study of deep convolutional features for iris recognition (69 citations)
- Fast Mode and Partition Decision Using Machine Learning for Intra-Frame Coding in HEVC Screen Content Coding Extension (43 citations)
- Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition (42 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer network
- Computer vision
His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Virtual reality and Catalysis.
His biological study spans a wide range of topics, including Machine learning and Encoder.
His research in Pattern recognition intersects with topics in Pixel and Facial recognition system.
The Computer vision study combines topics in areas such as Adjacency matrix, Gaussian process and Benchmark.
His Virtual reality research includes elements of Augmented reality, Real-time computing and Motion.
His Real-time computing study combines topics in areas such as Wireless and Bandwidth.
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