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Bin Xiao 0007
Person information
- affiliation: Stockholm University, Kista, Department of Computer and Systems Sciences, Sweden
Other persons with the same name
- Bin Xiao — disambiguation page
- Bin Xiao 0001 — Hong Kong Polytechnic University, Department of Computing, Hung Hom, Kowloon, Hong Kong (and 1 more)
- Bin Xiao 0002 — Chongqing University of Posts and Telecommunications, Key Laboratory of Computational Intelligence, China (and 1 more)
- Bin Xiao 0003 — China Electric Power Research Institute, Wuhan, China
- Bin Xiao 0004 — Microsoft Cloud+AI, Microsoft Research Asia, China (and 1 more)
- Bin Xiao 0005 — Lanzhou University, College of Earth and Environment Sciences, MOE, China
- Bin Xiao 0006 — University of Chinese Academy of Sciences, Beijing, China (and 2 more)
- Bin Xiao 0008 — University of Ottawa, School of Electrical Engineering and Computer Science, Canada (and 1 more)
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2010 – 2019
- 2017
- [b1]Bin Xiao:
Data-Centric Network of Things: A Method for Exploiting the Massive Amount of Heterogeneous Data of Internet of Things in Support of Services. Stockholm University, Sweden, 2017 - [j2]Bin Xiao, Rahim Rahmani, Yuhong Li, Theo Kanter:
Edge-based interoperable service-driven information distribution for intelligent pervasive services. Pervasive Mob. Comput. 40: 359-381 (2017) - [c4]Bin Xiao:
Self-evolvable knowledge-enhanced IoT data mobility for smart environment. IML 2017: 28:1-28:14 - [c3]Bin Xiao, Rahim Rahmani:
A deep relation learning method for IoT interoperability enhancement within semantic formalization framework. ICC 2017: 149:1-149:8 - 2016
- [j1]Bin Xiao, Theo Kanter, Rahim Rahmani:
Logical interactions for heterogeneous IoT entities via virtual world mirrors in support of Ambient Assisted Living. J. Ambient Intell. Smart Environ. 8(5): 565-580 (2016) - 2015
- [c2]Bin Xiao, Theo Kanter, Rahim Rahmani:
Constructing Context-centric Data Objects to Enhance Logical Associations for IoT Entities. ANT/SEIT 2015: 1095-1100 - 2014
- [c1]Theo Kanter, Rahim Rahmani, Yuhong Li, Bin Xiao:
Vehicular Network Enabling Large-Scale and Real-Time Immersive Participation. IOV 2014: 66-75
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