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Yoshinobu Kawahara

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Yoshinobu Kawahara

J-GLOBAL         Last updated: Sep 29, 2019 at 08:30
 
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Name
Yoshinobu Kawahara
URL
https://www.imi.kyushu-u.ac.jp/eng/academic_staffs/view/205
Affiliation
Kyushu University
Section
Institute of Mathematics for Industry
Degree
Doctor of Engineering (The University of Tokyo)
Other affiliation
RIKEN, Kobe University

Academic & Professional Experience

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Apr 2019
 - 
Today
Professor, Institute of Mathematics for Industry (IMI), Kyushu University
 
Apr 2019
 - 
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Guest Professor, Graduate School of System Informatics, Kobe University
 
Sep 2016
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Team Leader, Center for Advanced Intelligence Project (AIP), RIKEN
 

Committee Memberships

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Aug 2019
 - 
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International Journal of Mathematics for Industry (World Scientific)  Subject Editor
 
Jan 2017
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Neural Networks (Elsevier)  Action Editor
 

Awards & Honors

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Jul 2019
Best Student Paper Award, IJCNN 2019
Winner: T. Bito, M. Hiraoka, Y. Kawahara
 
Dec 2014
Outstanding Reviewer Award, NIPS 2014
 
Dec 2006
NIPS 2006 Travel Award
 

Published Papers

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Principal points analysis via p-median problem for binary data
H. Yamashita, and Y. Kawahara
Journal of Applied Statistics   (accepted)   2019   [Refereed]
Active Change-point Detection
S. Hayashi, Y. Kawahara, and H. Kashima
Proc. of the 11th Asian Conference on Machine Learning (ACML'19)   (accepted)    2019   [Refereed]
An efficient branch-and-cut and heuristic algorithms for submodular function maximization
N. Uematsu, S. Umetani, and Y. Kawahara
Journal of the Operations Research Society of Japan   (accepted)    2019   [Refereed]
An efficient branch-and-cut algorithm for approximately submodular function maximization
N. Uematsu, S. Umetani, and Y. Kawahara
Proc. of the 2019 IEEE Int'l Conf. on Systems, Man, and Cybernetics (IEEE SMC'19)   (accepted)    2019   [Refereed]
K. Takeuchi, Y. Yoshida, and Y. Kawahara
Proc. of the 35th Conf. on Uncertainty in Artificial Intelligence (UAI'19)   443   2019   [Refereed]
K. Fujii and Y. Kawahara
Neural Networks   117 94-103   2019   [Refereed]
Learning with coherence patters in multivariate time-series data via dynamic mode decomposition
T. Bito, M. Hiraoka, and Y. Kawahara
Proc. of the 2019 Int'l Joint Conf. on Neural Networks (IJCNN'19)   (accepted)   2019   [Refereed]
M. Hojo, K. Fujii, and Y. Kawahara
International Journal of Performance Analysis in Sport   19(2) 192-205   2019   [Refereed]
K. Fujii, and Y. Kawahara
Pattern Recognition Letters   122 7-13   2019   [Refereed]
I. Ishikawa, K. Fujii, M. Ikeda, Y. Hashimoto, and Y. Kawahara
Advances in Neural Information Processing Systems 31 (NIPS 2018)   2858-2868   2018   [Refereed]