Bing Hu

19 papers A* 5A 3Misc 2Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2017 J jnl
Generalizing DTW to the multi-dimensional case requires an adaptive approach.
Data Min. Knowl. Discov.
Mohammad Shokoohi-Yekta, Bing Hu, Hongxia Jin, Jun Wang, Eamonn J. Keogh
2016 J jnl
Classification of streaming time series under more realistic assumptions.
Data Min. Knowl. Discov.
Bing Hu, Yanping Chen, Eamonn J. Keogh
2015 J jnl
A general framework for never-ending learning from time series streams.
Data Min. Knowl. Discov.
Yanping Chen, Yuan Hao, Thanawin Rakthanmanon, Jesin Zakaria, Bing Hu, Eamonn J. Keogh
2015 A* conf
Discovery of Meaningful Rules in Time Series.
KDD
Mohammad Shokoohi-Yekta, Yanping Chen, Bilson J. L. Campana, Bing Hu, Jesin Zakaria, Eamonn J. Keogh
2015 J jnl
Establishing the provenance of historical manuscripts with a novel distance measure.
Pattern Anal. Appl.
Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh
2015 Misc conf
PinPlace: associate semantic meanings with indoor locations without active fingerprinting.
UbiComp
Xuan Bao, Bin Liu, Bo Tang, Bing Hu, Deguang Kong, Hongxia Jin
2015 A conf
Protecting Your Children from Inappropriate Content in Mobile Apps: An Automatic Maturity Rating Framework.
CIKM
Bing Hu, Bin Liu, Neil Zhenqiang Gong, Deguang Kong, Hongxia Jin
2015 J jnl
Using the minimum description length to discover the intrinsic cardinality and dimensionality of time series.
Data Min. Knowl. Discov.
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh
2014 — conf
Connect the dots by understanding user status and transitions.
UbiComp Adjunct
Xuan Bao, Yilin Shen, Neil Zhenqiang Gong, Hongxia Jin, Bing Hu
2013 — conf
A Minimum Description Length Technique for Semi-Supervised Time Series Classification.
IRI (best papers)
Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2013 A* conf
Classification of Multi-dimensional Streaming Time Series by Weighting Each Classifier's Track Record.
ICDM
Bing Hu, Yanping Chen, Jesin Zakaria, Liudmila Ulanova, Eamonn J. Keogh
2013 A* conf
DTW-D: time series semi-supervised learning from a single example.
KDD
Yanping Chen, Bing Hu, Eamonn J. Keogh, Gustavo E. A. P. A. Batista
2013 — —
Mining Time Series Data: Moving from Toy Problems to Realistic Deployments.
Bing Hu
2013 A conf
Time Series Classification under More Realistic Assumptions.
SDM
Bing Hu, Yanping Chen, Eamonn J. Keogh
2013 Misc conf
Towards a minimum description length based stopping criterion for semi-supervised time series classification.
IRI
Nurjahan Begum, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2013 A* conf
Towards never-ending learning from time series streams.
KDD
Yuan Hao, Yanping Chen, Jesin Zakaria, Bing Hu, Thanawin Rakthanmanon, Eamonn J. Keogh
2012 A conf
Image Mining of Historical Manuscripts to Establish Provenance.
SDM
Bing Hu, Thanawin Rakthanmanon, Bilson J. L. Campana, Abdullah Mueen, Eamonn J. Keogh
2011 A* conf
Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
ICDM
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh
2011 — conf
Towards Discovering the Intrinsic Cardinality and Dimensionality of Time Series Using MDL.
Algorithmic Probability and Friends
Bing Hu, Thanawin Rakthanmanon, Yuan Hao, Scott Evans, Stefano Lonardi, Eamonn J. Keogh