Hiroki Kuroda, Ph.D.

Research Interest

• Signal processing, inverse problems, machine learning

  • theory & method of signal recovery, system identification, regression, classification, detection

  • application to communications, radar, seismology, data science

• Optimization

  • convex optimization, fixed point method, proximal splitting algorithm

• Sparse modeling

  • sparse estimation, structured sparsity, convexity-preserving nonconvex penalties

Selected Publications (full list)

• H. Kuroda and D. Kitahara, "Block-sparse recovery with optimal block partition," IEEE Transactions on Signal Processing, vol. 70, pp. 1506–1520, 2022. (IEEE SPS Japan Young Author Best Paper Award) official access  TechRxiv  code (MATLAB)

• H. Kuroda, "A convex-nonconvex framework for enhancing minimization induced penalties," Journal of the Franklin Institute, vol. 362, no. 15, 20 pages, 2025, Art. no. 107969. official access (OA) arXiv.

• H. Kuroda, M. Yamagishi, and I. Yamada, "Exploiting sparsity in tight-dimensional spaces for piecewise continuous signal recovery," IEEE Transactions on Signal Processing, vol. 66, no. 24, pp. 6363–6376, Dec. 2018. official access  preprint (©2018 IEEE)

• H. Kuroda, D. Kitahara, E. Yoshikawa, H. Kikuchi, and T. Ushio, "Convex Estimation of Sparse-Smooth Power Spectral Densities from Mixtures of Realizations with Application to Weather Radar", IEEE Access, 2023. official access (OA) arXiv

News

• A paper on a framework for convexity-preserving nonconvex enhancement of penalties defined via minimization is accepted to Journal of the Franklin Institute. 

  • H. Kuroda, "A convex-nonconvex framework for enhancing minimization induced penalties," Journal of the Franklin Institute, vol. 362, no. 15, 20 pages, 2025, Art. no. 107969. official access (OA) arXiv.

• I became an Associate Editor for the Signal Processing (Elsevier).

• A paper on convexity-preserving nonconvex enhancement of minimization induced penalties was presented in EUSIPCO 2024.

  • H. Kuroda,"Sharpening minimization induced penalties," European Signal Processing Conference (EUSIPCO), Lyon, France, pp. 2612–2616, Aug. 2024. TechRxiv.

• I received 2023 IEEE Signal Processing Society (SPS) Japan Young Author Best Paper Award for the paper:

  • H. Kuroda and D. Kitahara, "Block-sparse recovery with optimal block partition," IEEE Transactions on Signal Processing, vol. 70, pp. 1506–1520, 2022. official access  TechRxiv  code (MATLAB)

• A paper on convex optimization-based estimation of sparse and smooth power spectral densties and its application to weather radar is accpeted to IEEE Access.

  • H. Kuroda, D. Kitahara, E. Yoshikawa, H. Kikuchi, and T. Ushio, "Convex estimation of sparse-smooth power spectral densities from mixtures of realizations with application to weather radar", IEEE Access, vol. 11, pp. 128859-128874, 2023. official access (OA) arXiv

• I was Invited to introduce our paper "H. Kuroda and D. Kitahara, "Block-sparse recovery with optimal block partition," IEEE Transactions on Signal Processing, vol. 70, pp. 1506–1520, 2022." at top conference/journal session of FIT2023.

• A paper on power spectral density estimation for weather radar was presented at IEEE ICASSP 2023.

  • H. Kuroda, D. Kitahara, E. Yoshikawa, H. Kikuchi, and T. Ushio, "Sparsity-smoothness-aware power spectral density estimation with application to phased array weather radar," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greek, 5 pages, June 2023. official access

• A paper on modal interval regression via spline smoothing is accepted to IEICE Transactions on Fundamentals.

  • S. Yao, D. Kitahara, H. Kuroda, and A. Hirabayashi, "Modal interval regression based on spline quantile regression," IEICE Transactions on Fundamentals, vol. E106-A, no.2, pp. 106–123, Feb. 2023. official access

• A paper on block-sparse recovery is accepted to IEEE Transactions on Signal Processing.

  • H. Kuroda and D. Kitahara, "Block-sparse recovery with optimal block partition," IEEE Transactions on Signal Processing, vol. 70, pp. 1506–1520, 2022. official access  TechRxiv  code (MATLAB)

• A paper on sparsity-aware beamforming for phased array weather radar is accepted to IEEE Transactions on Geoscience and Remote Sensing.

  • D. Kitahara, H. Kuroda, A. Hirabayashi, E. Yoshikawa, H. Kikuchi, and T. Ushio, "Nonlinear beamforming based on group-sparsities of periodograms for phased array weather radar," IEEE Transactions on Geoscience and Remote Sensing, vol. 60, 19 pages, 2022, Art. no. 4106819. official access TechRxiv

• A tutorial on structured sparse estimation was presented at SCI '22.

• A paper on graph-structured sparse regularization was presented at IEEE ICASSP 2022.

  • H. Kuroda and D. Kitahara, "Graph-structured sparse regularization via convex optimization," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, May 2022. official access

• A paper on super-resolution using GAN with metric projection is accepted to IEICE Transactions on Fundamentals.

  • H. Yamamoto, D. Kitahara, H. Kuroda, and A. Hirabayashi, "Image super-resolution via generative adversarial networks using metric projections onto consistent sets for low-resolution inputs," IEICE Transactions on Fundamentals, vol. E105-A, no. 4, pp. 704–718, Apr. 2022.

Contact

E-mail: kuroda [at] ict.eng.isct.ac.jp