Zheng Yang mainly focuses on Real-time computing, Wireless, Wireless sensor network, Computer network and Telecommunications. Zheng Yang has included themes like Scalability, Physical layer, Channel state information, Communication channel and Embedded system in his Real-time computing study. The study incorporates disciplines such as Leverage and Mobile computing in addition to Wireless.
His Wireless sensor network study combines topics from a wide range of disciplines, such as Key distribution in wireless sensor networks, Ranging and Mobile radio. His Computer network study integrates concerns from other disciplines, such as Throughput and Distributed computing. In his research on the topic of Telecommunications, Mobility model, Accelerometer, Inertial measurement unit and Radio frequency is strongly related with Software deployment.
His primary areas of study are Real-time computing, Wireless, Wireless sensor network, Computer network and Artificial intelligence. Zheng Yang combines subjects such as Multilateration, Fingerprint, Embedded system, Key and Mobile device with his study of Real-time computing. His Wireless research is multidisciplinary, relying on both Software deployment, Mobile computing and Leverage.
The various areas that Zheng Yang examines in his Wireless sensor network study include Distributed computing, Wireless ad hoc network, Key distribution in wireless sensor networks, Ranging and Efficient energy use. His Computer network study incorporates themes from Multipath propagation and Physical layer. His research integrates issues of Machine learning and Computer vision in his study of Artificial intelligence.
Zheng Yang mainly focuses on Artificial intelligence, Wireless, Real-time computing, Key and Crowdsourcing. The Artificial intelligence study combines topics in areas such as Machine learning and Computer vision. His Wireless research is mostly focused on the topic Channel state information.
His study in Real-time computing is interdisciplinary in nature, drawing from both Wireless sensor network and Microphone. His Key study also includes
His primary scientific interests are in Real-time computing, Wireless, Artificial intelligence, Key and Mobile device. His Real-time computing research is multidisciplinary, incorporating elements of Wearable computer and Microphone. His studies in Wireless integrate themes in fields like Antenna array, Rotation, Inertial measurement unit, Mobile computing and Sensor fusion.
His work on Recurrent neural network, Deep learning and Gesture as part of general Artificial intelligence research is often related to Domain, thus linking different fields of science. His biological study spans a wide range of topics, including Computer network, Joint and Interoperability. His Mobile device research incorporates elements of Crowdsourcing and Optimization problem.
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.
Locating in fingerprint space: wireless indoor localization with little human intervention
Zheng Yang;Chenshu Wu;Yunhao Liu.
acm/ieee international conference on mobile computing and networking (2012)
From RSSI to CSI: Indoor localization via channel response
Zheng Yang;Zimu Zhou;Yunhao Liu.
ACM Computing Surveys (2013)
WILL: Wireless Indoor Localization without Site Survey
Chenshu Wu;Zheng Yang;Yunhao Liu;Wei Xi.
IEEE Transactions on Parallel and Distributed Systems (2013)
Location, Localization, and Localizability
Yunhao Liu;Zheng Yang;Xiaoping Wang;Lirong Jian.
Journal of Computer Science and Technology (2010)
Does wireless sensor network scale? A measurement study on GreenOrbs
Yunhao Liu;Yuan He;Mo Li;Jiliang Wang.
international conference on computer communications (2011)
Quality of Trilateration: Confidence-Based Iterative Localization
Zheng Yang;Yunhao Liu.
IEEE Transactions on Parallel and Distributed Systems (2010)
Incentives for Mobile Crowd Sensing: A Survey
Xinglin Zhang;Zheng Yang;Wei Sun;Yunhao Liu.
IEEE Communications Surveys and Tutorials (2016)
Smartphones Based Crowdsourcing for Indoor Localization
Chenshu Wu;Zheng Yang;Yunhao Liu.
IEEE Transactions on Mobile Computing (2015)
Non-Invasive Detection of Moving and Stationary Human With WiFi
Chenshu Wu;Zheng Yang;Zimu Zhou;Xuefeng Liu.
IEEE Journal on Selected Areas in Communications (2015)
Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors
Zheng Yang;Chenshu Wu;Zimu Zhou;Xinglin Zhang.
ACM Computing Surveys (2015)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-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: