Computer network, Distributed computing, Data mining, Wireless sensor network and Radio-frequency identification are his primary areas of study. Computer network and Computer security are commonly linked in his work. His study in Distributed computing is interdisciplinary in nature, drawing from both Web service, Object, Network topology, Real-time computing and Tree network.
His Data mining research is multidisciplinary, relying on both Scalability, Pattern recognition, Cluster analysis and Parallel computing. His studies in Wireless sensor network integrate themes in fields like Attack analysis, Smart city and Network security. His study looks at the relationship between Radio-frequency identification and fields such as Protocol, as well as how they intersect with chemical problems.
His main research concerns Computer network, Distributed computing, Cloud computing, Real-time computing and Data mining. His studies deal with areas such as Wireless and The Internet as well as Computer network. His study focuses on the intersection of Distributed computing and fields such as Cache with connections in the field of Mobile computing.
His research integrates issues of Resource and Latency in his study of Cloud computing. Keqiu Li works mostly in the field of Data mining, limiting it down to topics relating to Protocol and, in certain cases, Identification, as a part of the same area of interest. His Wireless sensor network study integrates concerns from other disciplines, such as Sensor node and Key distribution in wireless sensor networks.
His primary areas of investigation include Computer network, Distributed computing, Scheduling, Cloud computing and Artificial intelligence. Computer network and The Internet are frequently intertwined in his study. His Distributed computing research includes themes of Network performance, Service, Testbed, Optimization problem and Speedup.
His studies examine the connections between Scheduling and genetics, as well as such issues in Quality of service, with regards to Queueing theory. His research investigates the link between Cloud computing and topics such as Latency that cross with problems in Workload and Stochastic modelling. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition.
Keqiu Li mainly focuses on Computer network, Distributed computing, Testbed, Scheduling and Wireless. His work deals with themes such as Aloha, The Internet and Robustness, which intersect with Computer network. His Distributed computing research is multidisciplinary, incorporating elements of Bandwidth management, Bandwidth, Bandwidth allocation, Service and Channel allocation schemes.
His study explores the link between Testbed and topics such as Approximation algorithm that cross with problems in Multiplexing, Optimization problem and Speedup. He has researched Wireless in several fields, including Activity recognition, Communication channel, Data collection and Human–computer interaction. Keqiu Li interconnects Network architecture, Wireless mesh network, Smart city and Home automation in the investigation of issues within Wireless sensor network.
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Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures
Yanli Yu;Keqiu Li;Wanlei Zhou;Ping Li.
Journal of Network and Computer Applications (2012)
Big Data Processing in Cloud Computing Environments
Changqing Ji;Yu Li;Wenming Qiu;Uchechukwu Awada.
international symposium on pervasive systems, algorithms, and networks (2012)
How Can Heterogeneous Internet of Things Build Our Future: A Survey
Tie Qiu;Ning Chen;Keqiu Li;Mohammed Atiquzzaman.
IEEE Communications Surveys and Tutorials (2018)
Performance Guaranteed Computation Offloading for Mobile-Edge Cloud Computing
Xiaoyi Tao;Kaoru Ota;Mianxiong Dong;Heng Qi.
IEEE Wireless Communications Letters (2017)
Optimized big data K-means clustering using MapReduce
Xiaoli Cui;Pingfei Zhu;Xin Yang;Keqiu Li.
The Journal of Supercomputing (2014)
Heterogeneous ad hoc networks
Tie Qiu;Ning Chen;Keqiu Li;Daji Qiao.
ad hoc networks (2017)
Energy-efficient and high-accuracy secure data aggregation in wireless sensor networks
Hongjuan Li;Kai Lin;Keqiu Li.
Computer Communications (2011)
An effective solution for trademark image retrieval by combining shape description and feature matching
Heng Qi;Keqiu Li;Yanming Shen;Wenyu Qu.
Pattern Recognition (2010)
Completely Pinpointing the Missing RFID Tags in a Time-Efficient Way
Xiulong Liu;Keqiu Li;Geyong Min;Yanming Shen.
IEEE Transactions on Computers (2015)
Energy Consumption in Cloud Computing Data Centers
Awada Uchechukwu;Keqiu Li;Yanming Shen.
ieee international conference on cloud computing technology and science (2014)
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