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ORCIDBing Hu 0001
Person information
- affiliation: Facebook
- affiliation: University of California, Riverside
Other persons with the same name
- Bing Hu — disambiguation page
- Bing Hu 0002
![[0000-0002-0594-8998]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-0594-8998")
— Zhejiang University, Hangzhou, PR China - Bing Hu 0003 — Sichuan University, School of Mathematics, Chengdu, PR China
- Bing Hu 0004 — Shanghai Jiaotong University, Shanghai, China
- Bing Hu 0005 — Wuhan University of Technology, Wuhan, China
Other persons with a similar name
- Hu Bing
- Hu Zheng Bing
- Bing-Shan Hu
- Bing-liang Hu
- Bing-zhang Hu
- Wei-bing Hu
- Xiao-Bing Hu — Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing, China (and 1 more)
- Bing Hu Li
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2010 – 2019
- 2017
[j5]Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh:
Generalizing DTW to the multi-dimensional case requires an adaptive approach. Data Min. Knowl. Discov. 31(1): 1-31 (2017)- 2016
- [j4]Bing Hu, Yanping Chen, Eamonn J. Keogh:
Classification of streaming time series under more realistic assumptions. Data Min. Knowl. Discov. 30(2): 403-437 (2016) - 2015
- [j3]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series. Data Min. Knowl. Discov. 29(2): 358-399 (2015) - [j2]Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh:
A general framework for never-ending learning from time series streams. Data Min. Knowl. Discov. 29(6): 1622-1664 (2015) - [j1]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Establishing the provenance of historical manuscripts with a novel distance measure. Pattern Anal. Appl. 18(2): 313-331 (2015) - [c13]Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin:
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework. CIKM 2015: 1111-1120 - [c12]Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin:
PinPlace: associate semantic meanings with indoor locations without active fingerprinting. UbiComp 2015: 921-925 - [c11]Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh:
Discovery of Meaningful Rules in Time Series. KDD 2015: 1085-1094 - 2014
- [c10]Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, Bing Hu:
Connect the dots by understanding user status and transitions. UbiComp Adjunct 2014: 361-366 - 2013
- [b1]Bing Hu:
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments. University of California, Riverside, USA, 2013 - [c9]Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh:
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record. ICDM 2013: 281-290 - [c8]Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
A Minimum Description Length Technique for Semi-Supervised Time Series Classification. IRI (best papers) 2013: 171-192 - [c7]Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
Towards a minimum description length based stopping criterion for semi-supervised time series classification. IRI 2013: 333-340 - [c6]Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista:
DTW-D: time series semi-supervised learning from a single example. KDD 2013: 383-391 - [c5]Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh:
Towards never-ending learning from time series streams. KDD 2013: 874-882 - [c4]Bing Hu, Yanping Chen, Eamonn J. Keogh:
Time Series Classification under More Realistic Assumptions. SDM 2013: 578-586 - 2012
- [c3]Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh:
Image Mining of Historical Manuscripts to Establish Provenance. SDM 2012: 804-815 - 2011
- [c2]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. Algorithmic Probability and Friends 2011: 184-197 - [c1]Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh:
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL. ICDM 2011: 1086-1091
Coauthor Index
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