His scientific interests lie mostly in Computer network, Distributed computing, Wireless, Wireless network and Real-time computing. His Computer network study incorporates themes from Wireless ad hoc network and Video quality. His Distributed computing research incorporates themes from MIMO, Scheduling, Mobile computing and Greedy algorithm.
His work deals with themes such as Quality of service, Cognitive radio, Destination-Sequenced Distance Vector routing, Testbed and Coding, which intersect with Wireless network. His work carried out in the field of Real-time computing brings together such families of science as Channel state information, Orthogonal frequency-division multiplexing and Implementation. His research in Smart grid intersects with topics in Data center, Data science and Big data.
Shiwen Mao focuses on Computer network, Distributed computing, Wireless network, Real-time computing and Wireless. His Computer network research includes themes of Cognitive radio, Communication channel, Wireless ad hoc network and Throughput. His biological study spans a wide range of topics, including Wireless mesh network, Resource allocation and Multipath routing.
His studies deal with areas such as Wireless sensor network and Power control as well as Wireless network. The concepts of his Real-time computing study are interwoven with issues in Scheduling, Channel state information and Mobile device. His studies in Scheduling integrate themes in fields like Mathematical optimization and Smart grid.
Shiwen Mao mainly focuses on Real-time computing, Artificial intelligence, Deep learning, Wireless network and Wireless. Shiwen Mao has included themes like Software deployment, Channel state information, Mobile device and Respiration rate in his Real-time computing study. His study in Wireless network is interdisciplinary in nature, drawing from both Scalability, Distributed computing, Neighbor Discovery Protocol, Optimization problem and Reinforcement learning.
The study incorporates disciplines such as Enhanced Data Rates for GSM Evolution and Logical reasoning in addition to Distributed computing. His study on Wireless also encompasses disciplines like
His primary scientific interests are in Real-time computing, Artificial intelligence, Mobile device, Artificial neural network and Deep learning. His Real-time computing research includes elements of Respiration rate and Ultra high frequency. His Mobile device study combines topics in areas such as RSS, Phase, Software deployment and Channel state information.
As part of one scientific family, Shiwen Mao deals mainly with the area of Phase, narrowing it down to issues related to the Orthogonal frequency-division multiplexing, and often Convolutional neural network and Wireless. Wireless network is the focus of his Wireless research. His Deep learning research is multidisciplinary, relying on both Signal, Communications system and Pattern recognition.
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.
Big Data: A Survey
Min Chen;Shiwen Mao;Yunhao Liu.
Mobile Networks and Applications (2014)
CSI-Based Fingerprinting for Indoor Localization: A Deep Learning Approach
Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey.
IEEE Transactions on Vehicular Technology (2017)
Video transport over ad hoc networks: multistream coding with multipath transport
Shiwen Mao;Shunan Lin;S.S. Panwar;Yao Wang.
IEEE Journal on Selected Areas in Communications (2003)
Big Data: Related Technologies, Challenges and Future Prospects
Min Chen;Shiwen Mao;Yin Zhang;Victor C. M. Leung.
CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
Xuyu Wang;Lingjun Gao;Shiwen Mao.
IEEE Internet of Things Journal (2016)
DeepFi: Deep learning for indoor fingerprinting using channel state information
Xuyu Wang;Lingjun Gao;Shiwen Mao;Santosh Pandey.
wireless communications and networking conference (2015)
Multiobjective Optimization for Computation Offloading in Fog Computing
Liqing Liu;Zheng Chang;Xijuan Guo;Shiwen Mao.
IEEE Internet of Things Journal (2018)
Performance Evaluation of Cognitive Radios: Metrics, Utility Functions, and Methodology
Youping Zhao;Shiwen Mao;J.O. Neel;J.H. Reed.
Proceedings of the IEEE (2009)
Optimized Computation Offloading Performance in Virtual Edge Computing Systems Via Deep Reinforcement Learning
Xianfu Chen;Honggang Zhang;Celimuge Wu;Shiwen Mao.
IEEE Internet of Things Journal (2019)
Directional geographical routing for real-time video communications in wireless sensor networks
Min Chen;Victor C. M. Leung;Shiwen Mao;Yong Yuan.
Computer Communications (2007)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: