What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Algorithm
His primary areas of investigation include Computer network, Artificial intelligence, Computer vision, Quality of service and The Internet.
His work on Multicast as part of general Computer network study is frequently linked to Video quality, therefore connecting diverse disciplines of science.
His Artificial intelligence study which covers Coding tree unit that intersects with Reference frame, Multiview Video Coding and Context-adaptive binary arithmetic coding.
His study in the field of Image and Image formation is also linked to topics like Encoder and Bit.
The The Internet study combines topics in areas such as Scalability, Bandwidth and Visual communication.
His study explores the link between Data compression and topics such as Image processing that cross with problems in Video tracking.
His most cited work include:
- A new rate control scheme using quadratic rate distortion model (653 citations)
- Streaming video over the Internet: approaches and directions (650 citations)
- Scalable rate control for MPEG-4 video (403 citations)
What are the main themes of his work throughout his whole career to date?
Ya-Qin Zhang mainly investigates Computer network, Artificial intelligence, Computer vision, Real-time computing and Wavelet.
His Computer network research is multidisciplinary, relying on both Wireless network and The Internet.
His The Internet research includes elements of Multimedia, Bandwidth and Resource allocation.
His research in Computer vision focuses on subjects like Coding tree unit, which are connected to Multiview Video Coding, Context-adaptive binary arithmetic coding and Sub-band coding.
His Real-time computing research incorporates themes from Forward error correction, Scalability, Error detection and correction and MPEG-4.
His Algorithm research extends to Wavelet, which is thematically connected.
He most often published in these fields:
- Computer network (37.89%)
- Artificial intelligence (30.00%)
- Computer vision (28.95%)
What were the highlights of his more recent work (between 2004-2016)?
- Computer network (37.89%)
- Real-time computing (24.21%)
- Multicast (11.05%)
In recent papers he was focusing on the following fields of study:
Ya-Qin Zhang mainly focuses on Computer network, Real-time computing, Multicast, Scalability and Wireless network.
His Computer network research is multidisciplinary, incorporating elements of The Internet, Distributed computing and Power control.
Ya-Qin Zhang interconnects Wireless, Throughput, Transmission, Forward error correction and Error detection and correction in the investigation of issues within Real-time computing.
He specializes in Scalability, namely Scalable Video Coding.
His Wireless network research is multidisciplinary, incorporating perspectives in Internet access, Transcoding, Multimedia, Physical layer and Video processing.
His Reference frame research incorporates themes from Artificial intelligence and Computer vision.
Between 2004 and 2016, his most popular works were:
- Video transcoding: an overview of various techniques and research issues (331 citations)
- Image Compression With Edge-Based Inpainting (169 citations)
- Cross-Layer Design for QoS Support in Multihop Wireless Networks (159 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Algorithm
Ya-Qin Zhang mostly deals with Computer network, Scalability, Scalable Video Coding, Wireless network and Quality of service.
Ya-Qin Zhang works in the field of Computer network, namely Wireless sensor network.
As a part of the same scientific study, Ya-Qin Zhang usually deals with the Wireless network, concentrating on Transcoding and frequently concerns with Image compression.
His Quality of service research is multidisciplinary, incorporating elements of End system and The Internet.
His work in The Internet addresses issues such as Protocol, which are connected to fields such as Real-time computing.
Ya-Qin Zhang's looking at Multiview Video Coding as part of his Computer vision and Artificial intelligence and Multiview Video Coding study.
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.
