Author

Shunsuke Ono

Associate Professor, Tokyo Institute of Technology - Cited by 1,348 - Signal Processing - Image Analysis - Optimization - Remote Sensing - Measurement Informatics

Biography

Dr. Shunsuke Ono is currently working in Laboratory of Pharmaceutical Regulatory Science, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan. He has published numerous research papers and articles in reputed journals and has various other achievements in the related studies. He has extended his valuable service towards the scientific community with his extensive research work. 
Title
Cited by
Year
Data-driven sparse sensor selection based on A-optimal design of experiment with ADMM
T Nagata, T Nonomura, K Nakai, K Yamada, Y Saito, S OnoIEEE Sensors Journal 21 (13), 15248-15257, 212
20
2021
Randomized subspace newton convex method applied to data-driven sensor selection problem
T Nonomura, S Ono, K Nakai, Y SaitoIEEE Signal Processing Letters 28, 284-288, 2021202
19
2021
Data-driven sensor selection method based on proximal optimization for high-dimensional data with correlated measurement noise
T Nagata, K Yamada, T Nonomura, K Nakai, Y Saito, S OnoIEEE Transactions on Signal Processing 70, 5251-5264, 2022202
10
2022
Robust acoustic scene classification to multiple devices using maximum classifier discrepancy and knowledge distillation
S Takeyama, T Komatsu, K Miyazaki, M Togami, S Ono2020 28th European Signal Processing Conference (EUSIPCO), 36-40, 2021202
9
2021
Joint mixed-noise removal and compressed sensing reconstruction of hyperspectral images via convex optimization
S Takeyama, S OnoIGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020202
6
2020
Improving grazing-incidence small-angle X-ray scattering–computed tomography images by total variation minimization
H Ogawa, S Ono, Y Nishikawa, A Fujiwara, T Kabe, M TakenakaJournal of Applied Crystallography 3 (1), 140-147, 2020202
5
2020
Graph spatio-spectral total variation model for hyperspectral image denoising
S Takemoto, K Naganuma, S OnoIEEE Geoscience and Remote Sensing Letters 19, 1-, 2022202
5
2022
Design of graph signal sampling matrices for arbitrary signal subspaces
J Hara, K Yamada, S Ono, Y TanakaICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021202
5
2021
Operator-norm-based variable-wise diagonal preconditioning for automatic stepsize selection of a primal-dual splitting algorithm
K Naganuma, S Ono2022 30th European Signal Processing Conference (EUSIPCO), 201-205, 2022202
4
2022
A general destriping framework for remote sensing images using flatness constraint
K Naganuma, S OnoIEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2022202
4
2022
Amino-acid selective isotope labeling enables simultaneous overlapping signal decomposition and information extraction from NMR spectra
T Kasai, S Ono, S Koshiba, M Yamamoto, T Tanaka, S Ikeda, T KigawaJournal of biomolecular NMR 7 (2-3), 125-137, 2020202
4
2020
3
2023
Compressed hyperspectral pansharpening
S Takeyama, S Ono2020 IEEE International Conference on Image Processing (ICIP), 2855-2859, 2020202
3
2020
Focal surface occlusion
Y Hiroi, T Kaminokado, S Ono, Y ItohOptics Express 29 (22), 6581-6597, 2021202
3
2021
Recovery of time series of graph signals over dynamic topology
E Yamagata, S Ono2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021202
3
2021
Zero-gradient constraints for destriping of remote-sensing data
K Naganuma, S Takeyama, S OnoICASSP 01-01 IEEE International Conference on Acoustics, Speech and …, 010
2
2021
Epigraphical relaxation for minimizing layered mixed norms
S Kyochi, S Ono, I SelesnickIEEE Transactions on Signal Processing 69, 93-938, 010
2
2021
Epigraphical reformulation for non-proximable mixed norms
S Kyochi, S Ono, I SelesnickICASSP 00-00 IEEE International Conference on Acoustics, Speech and …, 000
2
2020
Spatial distribution of the network structure in epoxy resin via the MAXS-CT method
H Ogawa, M Aoki, S Ono, Y Watanabe, S Yamamoto, K Tanaka, ...Langmuir 38 (37), 1143-11439, 0
2
2022