2011 - IEEE Fellow For leadership in electronics packaging technology
His main research concerns Computer network, Approximation algorithm, Wireless sensor network, Key distribution in wireless sensor networks and Wireless network. Guoliang Xue interconnects Relay channel, Relay and Distributed computing in the investigation of issues within Computer network. His research in Relay intersects with topics in Transmission and Efficient energy use.
His work deals with themes such as Routing and Steiner tree problem, which intersect with Approximation algorithm. Guoliang Xue focuses mostly in the field of Wireless sensor network, narrowing it down to matters related to Base station and, in some cases, Survivability and Real-time computing. His study in Wireless network is interdisciplinary in nature, drawing from both Mathematical optimization, Identifier, Scheduling and Simulation.
Guoliang Xue spends much of his time researching Computer network, Distributed computing, Mathematical optimization, Computer security and Combinatorics. The Computer network study combines topics in areas such as Wireless and Wireless network. His studies deal with areas such as Network topology, Quality of service, Scheduling and Survivability as well as Distributed computing.
His study of Approximation algorithm is a part of Mathematical optimization. His study looks at the relationship between Computer security and topics such as Incentive, which overlap with Crowdsourcing. His Wireless sensor network study incorporates themes from Key distribution in wireless sensor networks, Base station and Relay.
Guoliang Xue mainly focuses on Computer network, Computer security, Distributed computing, Incentive and Crowdsensing. Guoliang Xue combines subjects such as Communication channel and Mobile telephony with his study of Computer network. His Computer security research is multidisciplinary, relying on both The Internet and Internet privacy.
His studies in Distributed computing integrate themes in fields like Wireless, Quality of service, Provisioning, Edge computing and Reinforcement learning. His studies examine the connections between Edge computing and genetics, as well as such issues in Data stream mining, with regards to Approximation algorithm. He has included themes like Crowdsourcing, Mobile device and Service in his Incentive study.
His primary scientific interests are in Computer network, Incentive, Distributed computing, Mobile computing and Crowdsensing. His specific area of interest is Computer network, where Guoliang Xue studies Scheduling. His research investigates the connection between Incentive and topics such as Computer security that intersect with issues in Sybil attack, Internet privacy and Crowdsourcing.
His research integrates issues of Quality of service, Linux kernel, Edge computing, Server and Reinforcement learning in his study of Distributed computing. His Edge computing research focuses on Approximation algorithm and how it relates to Routing. His Mobile computing research incorporates themes from Wireless, Mobile search and Mobile telephony.
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Smart Grid — The New and Improved Power Grid: A Survey
Xi Fang;Satyajayant Misra;Guoliang Xue;Dejun Yang.
IEEE Communications Surveys and Tutorials (2012)
Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing
Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang.
acm/ieee international conference on mobile computing and networking (2012)
Interference-aware topology control and QoS routing in multi-channel wireless mesh networks
Jian Tang;Guoliang Xue;Weiyi Zhang.
mobile ad hoc networking and computing (2005)
A survey of multimedia streaming in wireless sensor networks
S. Misra;M. Reisslein;Guoliang Xue.
IEEE Communications Surveys and Tutorials (2008)
TPS: a time-based positioning scheme for outdoor wireless sensor networks
Xiuzhen Cheng;A. Thaeler;Guoliang Xue;Dechang Chen.
international conference on computer communications (2004)
Steiner tree problem with minimum number of Steiner points and bounded edge-length
Guo-Hui Lin;Guo-Hui Lin;Guoliang Xue.
Information Processing Letters (1999)
Aggregation tree construction in sensor networks
M. Ding;X. Cheng;G. Xue.
vehicular technology conference (2003)
Incentive mechanisms for crowdsensing: crowdsourcing with smartphones
Dejun Yang;Guoliang Xue;Xi Fang;Jian Tang.
IEEE ACM Transactions on Networking (2016)
Approximations for Steiner trees with minimum number of Steiner points
Donghui Chen;Ding-Zhu Du;Ding-Zhu Du;Ding-Zhu Du;Xiao-Dong Hu;Xiao-Dong Hu;Guo-Hui Lin.
Theoretical Computer Science (2001)
The MINPACK-2 test problem collection
B.M. Averick;R.G. Carter;Guo-Liang Xue;J.J. More.
Other Information: PBD: Jun 1992 (1992)
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