2017 - IEEE Fellow For contributions to multimedia networking
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 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.
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.
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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A Measurement Study of a Large-Scale P2P IPTV System
Xiaojun Hei;Chao Liang;Jian Liang;Yong Liu.
IEEE Transactions on Multimedia (2007)
A survey on peer-to-peer video streaming systems
Yong Liu;Yang Guo;Chao Liang.
Peer-to-peer Networking and Applications (2008)
A survey of collaborative filtering based social recommender systems
Xiwang Yang;Yang Guo;Yong Liu;Harald Steck.
Computer Communications (2014)
Stochastic Fluid Theory for P2P Streaming Systems
R. Kumar;Yong Liu;K. Ross.
ieee international conference computer and communications (2007)
Circle-based recommendation in online social networks
Xiwang Yang;Harald Steck;Yong Liu.
knowledge discovery and data mining (2012)
Towards agile and smooth video adaptation in dynamic HTTP streaming
Guibin Tian;Yong Liu.
conference on emerging network experiment and technology (2012)
Insights into PPLive: A Measurement Study of a Large-Scale P2P IPTV System
Xiaojun Hei;Chao Liang;Chao Liang;Jian Liang;Yong Liu.
IPTV over P2P streaming networks: the mesh-pull approach
Xiaojun Hei;Yong Liu;K.W. Ross.
IEEE Communications Magazine (2008)
Inferring Network-Wide Quality in P2P Live Streaming Systems
Xiaojun Hei;Yong Liu;K.W. Ross.
IEEE Journal on Selected Areas in Communications (2007)
Bayesian-Inference-Based Recommendation in Online Social Networks
Xiwang Yang;Yang Guo;Yong Liu.
IEEE Transactions on Parallel and Distributed Systems (2013)
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