Selected Publications

Books


"Chapter 11: Tensor methods for low-level vision"T. Yokota, C.F. Caiafa, and Q. ZhaoIn Tensors for Data Processing, Elsevier, 2021.

Journal Papers


"Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior"T. Yokota, H. Hontani, Q. Zhao, and A. CichockiIEEE Transactions on Neural Networks and Learning Systems, vol.33, no. 3, pp. 1022-1036, 2022.
"Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, with Application to Signal Reconstruction"F. Sedighin, A. Cichocki, T. Yokota, and Q. Shi.IEEE Signal Processing Letters, vol. 27, pp. 810-814, 2020.
“Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization”T. Yokota, and H. Hontani.IEEE Access, vol. 7, no. 1, 15669-15682, 2019.
“Real Time Estimation of Electric Fields Induced by Transcranial Magnetic Stimulation with Deep Neural Networks”T. Yokota, T. Maki, T. Nagata, T. Murakami, Y. Ugawa, I. Laakso, A. Hirata, and H. Hontani.Brain Stimulation, vol. 12, issue 6, pp. 1500-1507, 2019.
“Semi-Automated Biomarker Discovery from Pharmacodynamic Effects on EEG in ADHD Rodent Models”T. Yokota, Z.R. Struzik, P. Jurica, M. Horiuchi, S. Hiroyama, J. Li, Y. Tanaka, K. Ogawa, K. Nishitomi, and M. HasegawaScientific Reports, vol. 8, no. 5202, 2018.
“Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria”T. Yokota, N. Lee, and A. CichockiIEEE Transactions on Signal Processing, vol. 65, issue 5, pp. 1196-1206, 2017.
“Smooth PARAFAC Decomposition for Tensor Completion”T. Yokota, Q. Zhao, and A. CichockiIEEE Transactions on Signal Processing, vol. 64, issue 20, pp. 5423-5436, 2016.(IEEE Signal Processing Society Japan Young Author Best Paper Award)
“Smooth Nonnegative Matrix and Tensor Factorizations for Robust Multi-way Data Analysis”T. Yokota, R. Zdunek, A. Cichocki, and Y. YamashitaSignal Processing, vol. 113, no. 0, pp. 234-249, 2015.
“A Quadratically Constrained Maximum A Posteriori Classifier Using the Mixture of Gaussians Models as a Weight Function”T. Yokota, and Y. YamashitaIEEE Transactions on Neural Networks and Learning Systems, vol. 24, issue 7, pp. 1127-1140, July 2013.


Conference Papers

"Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space"R. Yamamoto, H. Hontani, A. Imakura, and T. YokotaCVPR, 2022.(poster, acceptance rate=25.3%)
"Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting"Q. SHI, J. YIN, J. CAI, A. Cichocki, T. Yokota, L. CHEN, M. Yuan, and J. ZengAAAI, 2020.(poster, acceptance rate=20.6%)
“Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated with Deep Image Prior”T. Yokota, K. Kawai, M. Sakata, Y, Kimura, and H, HontaniICCV, 2019.(oral, acceptance rate=4.3%)
“Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space”T. Yokota, B. Erem, S. Guler, S. Warfield, and H. HontaniCVPR, 2018.(poster, acceptance rate = 29.1%)
“Simultaneous Visual Data Completion and Denoising based on Tensor Rank and Total Variation Minimization and its Primal-dual Splitting Algorithm”T. Yokota, and H. HontaniCVPR, 2017.(poster, acceptance rate = 29.2%)
“Tensor Completion via Functional Smooth Component Deflation”T. Yokota, and A. CichockiICASSP, 2016.(poster, acceptance rate = 47.0%)