Exploiting Group Sparsity in Nonlinear Acoustic Echo Cancellation by Adaptive Proximal Forward-Backward Splitting. - Hiroki Kuroda; Shunsuke Ono; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2014)

Nonlinear Acoustic Echo Cancellation by Exact-Online Adaptive Alternating Minimization. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

Alternating Minimization Approach for Identification of Piecewise Continuous Hammerstein Systems. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

Exploiting Sparsity in Tight-Dimensional Spaces for Piecewise Continuous Signal Recovery. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (IEEE Trans. Signal Process., 2018)

Piecewise Affine System Identification by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (ACC, 2019)

Segmentation of Piecewise ARX Processes by Exploiting Sparsity in Tight-Dimensional Spaces. - Hiroki Kuroda; Masao Yamagishi; Isao Yamada (EUSIPCO, 2019)

Deep Neural Network Modeling of Distortion Stomp Box Using Spectral Features. - Kento Yoshimoto; Hiroki Kuroda; Daichi Kitahara; Akira Hirabayashi (APSIPA, 2020)

Piecewise Linear Regression under Noise Level Variation via Convex Optimization. - Hiroki Kuroda; Jun Ogata (EUSIPCO, 2020)

Multi-Contrast CSMRI Using Common Edge Structures with LiGME Model. - Daichi Kitahara; Rikako Kato; Hiroki Kuroda; Akira Hirabayashi (EUSIPCO, 2021)

A Convex Penalty for Block-Sparse Signals with Unknown Structures. - Hiroki Kuroda; Daichi Kitahara; Akira Hirabayashi (ICASSP, 2021)

Graph-Structured Sparse Regularization Via Convex Optimization. - Hiroki Kuroda; Daichi Kitahara (ICASSP, 2022)

Image Super-Resolution via Generative Adversarial Networks Using Metric Projections onto Consistent Sets for Low-Resolution Inputs. - Hiroya Yamamoto; Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2022)

Nonlinear Beamforming Based on Group-Sparsities of Periodograms for Phased Array Weather Radar. - Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi; Eiichi Yoshikawa; Hiroshi Kikuchi; Tomoo Ushio (IEEE Trans. Geosci. Remote. Sens., 2022)

Block-Sparse Recovery With Optimal Block Partition. - Hiroki Kuroda; Daichi Kitahara (IEEE Trans. Signal Process., 2022)

Sparsity-Smoothness-Aware Power Spectral Density Estimation with Application to Phased Array Weather Radar. - Hiroki Kuroda; Daichi Kitahara; Eiichi Yoshikawa; Hiroshi Kikuchi; Tomoo Ushio (ICASSP, 2023)

Convex Estimation of Sparse-Smooth Power Spectral Densities From Mixtures of Realizations With Application to Weather Radar. - Hiroki Kuroda; Daichi Kitahara; Eiichi Yoshikawa; Hiroshi Kikuchi; Tomoo Ushio (IEEE Access, 2023)

Modal Interval Regression Based on Spline Quantile Regression. - Sai Yao; Daichi Kitahara; Hiroki Kuroda; Akira Hirabayashi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Sharpening Minimization Induced Penalties. - Hiroki Kuroda (EUSIPCO, 2024)

Human pulse wave detection with consumer earphones and headphones. - Xing Yi; Samith S. Herath; Hiroshi Ogawa; Hiroki Kuroda; Kosuke Oiwa; Shusaku Nomura (Artif. Life Robotics, 2024)

A convex-nonconvex framework for enhancing minimization induced penalties. - Hiroki Kuroda (J. Frankl. Inst., 2025)