What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Statistics
Yong Liu focuses on Computer network, The Internet, Bandwidth, Recommender system and Social network.
His biological study spans a wide range of topics, including Real-time computing and Upload.
He has researched The Internet in several fields, including Multimedia, Adaptation, Server and Peer-to-peer.
Yong Liu has included themes like Access network and Digital television in his Multimedia study.
His Peer-to-peer research includes themes of Tree and Real Time Streaming Protocol.
As a member of one scientific family, Yong Liu mostly works in the field of Recommender system, focusing on Matrix decomposition and, on occasion, Data mining and Trust network.
His most cited work include:
- A Measurement Study of a Large-Scale P2P IPTV System (827 citations)
- A survey on peer-to-peer video streaming systems (356 citations)
- Stochastic Fluid Theory for P2P Streaming Systems (324 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Computer network, Distributed computing, The Internet, Bandwidth and Real-time computing.
His Computer network research is multidisciplinary, incorporating perspectives in Wireless network, Video quality and Upload.
His Distributed computing research is multidisciplinary, incorporating elements of Scheduling, Throughput and Network packet.
His The Internet study incorporates themes from IPTV, Multimedia and Adaptation.
The various areas that Yong Liu examines in his Real-time computing study include Augmented reality, Quality of experience, Virtual reality, Mobile device and Robustness.
His Peer-to-peer research incorporates elements of Tree and Video streaming.
He most often published in these fields:
- Computer network (59.44%)
- Distributed computing (19.44%)
- The Internet (17.22%)
What were the highlights of his more recent work (between 2018-2021)?
- Computer network (59.44%)
- Real-time computing (14.44%)
- Frame (3.33%)
In recent papers he was focusing on the following fields of study:
Yong Liu spends much of his time researching Computer network, Real-time computing, Frame, Communication channel and Point.
He studies User equipment, a branch of Computer network.
His Real-time computing study combines topics from a wide range of disciplines, such as Quality of experience, Artificial neural network, Latency, The Internet and Recursive least squares filter.
Yong Liu interconnects Recommender system, Metadata and Dynamic network analysis in the investigation of issues within The Internet.
His studies examine the connections between Frame and genetics, as well as such issues in Computer hardware, with regards to Mode.
His studies deal with areas such as Service discovery, Handover, Transmitter power output and Service information as well as Communication channel.
Between 2018 and 2021, his most popular works were:
- Very Long Term Field of View Prediction for 360-Degree Video Streaming (18 citations)
- A Two-Tier System for On-Demand Streaming of 360 Degree Video Over Dynamic Networks (11 citations)
- Efficient Scan and Service Discovery (7 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Statistics
His main research concerns Real-time computing, Computer network, Quality of experience, Artificial neural network and Field of view.
Yong Liu combines subjects such as Enhanced Data Rates for GSM Evolution, Flocking, Core network, Bandwidth and Server with his study of Real-time computing.
His work deals with themes such as Wireless and Communication channel, which intersect with Computer network.
His Quality of experience study which covers Recursive least squares filter that intersects with Videoconferencing, Data transmission, Prediction algorithms, Recurrent neural network and Long short term memory.
The study incorporates disciplines such as Augmented reality, Video quality and Virtual reality in addition to Field of view.
His The Internet research integrates issues from IPTV, Entropy, Recommender system and Metadata.
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