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Fei Hu 0003
Person information
- affiliation: George Mason University, NSF Spatiotemporal Innovation Center, Fairfax, VA, USA
Other persons with the same name
- Fei Hu — disambiguation page
- Fei Hu 0001 — University of Alabama, Electrical and Computer Engineering Department, Tuscaloosa, AL, USA (and 3 more)
- Fei Hu 0002 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Fei Hu 0004 — Southwest University, School of Computer and Information Science, Chongqing, China (and 1 more)
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2020 – today
- 2020
- [j13]Fei Hu, Chaowei Yang, Yongyao Jiang, Yun Li, Weiwei Song, Daniel Q. Duffy, John L. Schnase, Tsengdar Lee:
A hierarchical indexing strategy for optimizing Apache Spark with HDFS to efficiently query big geospatial raster data. Int. J. Digit. Earth 13(3): 410-428 (2020) - [j12]Zhenlong Li, Qunying Huang, Yuqin Jiang, Fei Hu:
SOVAS: a scalable online visual analytic system for big climate data analysis. Int. J. Geogr. Inf. Sci. 34(6): 1188-1209 (2020)
2010 – 2019
- 2019
- [c1]Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli:
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. CIKM 2019: 2953-2956 - [i1]Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli:
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. CoRR abs/1909.01606 (2019) - 2018
- [j11]Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Christopher J. Finch:
Towards intelligent geospatial data discovery: a machine learning framework for search ranking. Int. J. Digit. Earth 11(9): 956-971 (2018) - [j10]Fei Hu, Chaowei Yang, John L. Schnase, Daniel Q. Duffy, Mengchao Xu, Michael K. Bowen, Tsengdar Lee, Weiwei Song:
ClimateSpark: An in-memory distributed computing framework for big climate data analytics. Comput. Geosci. 115: 154-166 (2018) - [j9]Yongyao Jiang, Yun Li, Chaowei Yang, Fei Hu, Edward M. Armstrong, Thomas S. Huang, David Moroni, Lewis J. McGibbney, Frank R. Greguska, Christopher J. Finch:
A Smart Web-Based Geospatial Data Discovery System with Oceanographic Data as an Example. ISPRS Int. J. Geo Inf. 7(2): 62 (2018) - [j8]Fei Hu, Mengchao Xu, Jingchao Yang, Yanshou Liang, Kejin Cui, Michael M. Little, Christopher Lynnes, Daniel Q. Duffy, Chaowei Yang:
Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data. ISPRS Int. J. Geo Inf. 7(4): 144 (2018) - [j7]Li Zheng, Meng Sun, Yuejun Luo, Xiangbo Song, Chaowei Yang, Fei Hu, Manzhu Yu:
Utilizing MapReduce to Improve Probe-Car Track Data Mining. ISPRS Int. J. Geo Inf. 7(7): 287 (2018) - 2017
- [j6]Chaowei Yang, Qunying Huang, Zhenlong Li, Kai Liu, Fei Hu:
Big Data and cloud computing: innovation opportunities and challenges. Int. J. Digit. Earth 10(1): 13-53 (2017) - [j5]Zhenlong Li, Fei Hu, John L. Schnase, Daniel Q. Duffy, Tsengdar Lee, Michael K. Bowen, Chaowei Yang:
A spatiotemporal indexing approach for efficient processing of big array-based climate data with MapReduce. Int. J. Geogr. Inf. Sci. 31(1) (2017) - [j4]Baoxuan Jin, Weiwei Song, Kang Zhao, Xiaoyan Wei, Fei Hu, Yongyao Jiang:
A High Performance, Spatiotemporal Statistical Analysis System Based on a Spatiotemporal Cloud Platform. ISPRS Int. J. Geo Inf. 6(6): 165 (2017) - [j3]Chaowei Yang, Manzhu Yu, Fei Hu, Yongyao Jiang, Yun Li:
Utilizing Cloud Computing to address big geospatial data challenges. Comput. Environ. Urban Syst. 61: 120-128 (2017) - [j2]Zhenlong Li, Qunying Huang, Gregory J. Carbone, Fei Hu:
A high performance query analytical framework for supporting data-intensive climate studies. Comput. Environ. Urban Syst. 62: 210-221 (2017) - 2016
- [j1]Zhenlong Li, Chaowei Yang, Kai Liu, Fei Hu, Baoxuan Jin:
Automatic Scaling Hadoop in the Cloud for Efficient Process of Big Geospatial Data. ISPRS Int. J. Geo Inf. 5(10): 173 (2016)
Coauthor Index
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