Acceleration of adaptive parallel projection algorithms by Pairwise Optimal WEight Realization. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2004)

An efficient fast stereo echo canceler by pairwise optimal weight realization technique. - Masahiro Yukawa; Noriaki Murakoshi; Isao Yamada (EUSIPCO, 2005)

Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method. - Renato L. G. Cavalcante; Masahiro Yukawa; Isao Yamada (GLOBECOM, 2005)

Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques. - Masahiro Yukawa; Renato L. G. Cavalcante; Isao Yamada (ICASSP (3), 2005)

Efficient Blind MAI Suppression in DS/CDMA Systems by Embedded Constraint Parallel Projection Techniques. - Masahiro Yukawa; Renato L. G. Cavalcante; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2005)

Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2006)

Robust Capon Beamforming by the Adaptive Projected Subgradient Method. - Konstantinos Slavakis; Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

An Efficient Heuristic Approach to the Infeasible Downlink Power Control Problem. - Noriyuki Takahashi; Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

Adaptive Beamforming by Constrained Parallel Projection in the Presence of Spatially-Correlated Interferences. - Masahiro Yukawa; Isao Yamada (ICASSP (4), 2006)

Adaptive projected subgradient method and its applications to robust signal processing. - Isao Yamada; Konstantinos Slavakis; Masahiro Yukawa; Renato L. G. Cavalcante (ISCAS, 2006)

Efficient Fast Stereo Acoustic Echo Cancellation Based on Pairwise Optimal Weight Realization Technique. - Masahiro Yukawa; Noriaki Murakoshi; Isao Yamada (EURASIP J. Adv. Signal Process., 2006)

An Efficient Distributed Power Control for Infeasible Downlink Scenarios - Global-Local Fixed-Point-Approximation Technique. - Noriyuki Takahashi; Masahiro Yukawa; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Pairwise Optimal Weight Realization - Acceleration Technique for Set-Theoretic Adaptive Parallel Subgradient Projection Algorithm. - Masahiro Yukawa; Isao Yamada (IEEE Trans. Signal Process., 2006)

Adaptive Parallel Variable-Metric Projection Algorithm -An Application to Acoustic Echo Cancellation. - Masahiro Yukawa; Isao Yamada (ICASSP (3), 2007)

Acoustic Echo Cancellation with Reduced-Rank Adaptive Interpolated Filter Based on Parallel-Branch Diversity Decimation. - Masahiro Yukawa; Rodrigo C. de Lamare; Raimundo Sampaio Neto (DSP, 2007)

Adaptive Parallel Quadratic-Metric Projection Algorithms. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (IEEE Trans. Speech Audio Process., 2007)

Krylov-proportionate NLMS algorithm based on multistage Wiener filter representation. - Masahiro Yukawa (ICASSP, 2008)

Employing LSF at Transmitter Eases MMSE Adaptation at Receiver in Asynchronous CDMA Systems. - Masahiro Yukawa; Ken Umeno; Gen Hori (EURASIP J. Wirel. Commun. Netw., 2008)

Efficient Acoustic Echo Cancellation With Reduced-Rank Adaptive Filtering Based on Selective Decimation and Adaptive Interpolation. - Masahiro Yukawa; Rodrigo C. de Lamare; Raimundo Sampaio Neto (IEEE Trans. Speech Audio Process., 2008)

Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization. - Masahiro Yukawa; Wolfgang Utschick (ICASSP, 2009)

Signal processing in dual domain by adaptive projected subgradient method. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (DPS, 2009)

A Unified View of Adaptive Variable-Metric Projection Algorithms. - Masahiro Yukawa; Isao Yamada (EURASIP J. Adv. Signal Process., 2009)

Krylov-Proportionate Adaptive Filtering Techniques Not Limited to Sparse Systems. - Masahiro Yukawa (IEEE Trans. Signal Process., 2009)

Robust reduced-rank adaptive algorithm based on parallel subgradient projection and Krylov subspace. - Masahiro Yukawa; Rodrigo C. de Lamare; Isao Yamada (IEEE Trans. Signal Process., 2009)

A sparse adaptive filtering using time-varying soft-thresholding techniques. - Yukihiro Murakami; Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

Multi-domain adaptive filtering by feasibility splitting. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (ICASSP, 2010)

Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed l1 minimization approach. - Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations. - Masahiro Yukawa; Isao Yamada (ICASSP, 2010)

Multi-Domain Adaptive Learning Based on Feasibility Splitting and Adaptive Projected Subgradient Method. - Masahiro Yukawa; Konstantinos Slavakis; Isao Yamada (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

A Fast Stochastic Gradient Algorithm: Maximal Use of Sparsification Benefits under Computational Constraints. - Masahiro Yukawa; Wolfgang Utschick (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010)

Adaptive reduced-rank constrained constant modulus algorithms based on joint iterative optimization of filters for beamforming. - Lei Wang 008; Rodrigo C. de Lamare; Masahiro Yukawa (IEEE Trans. Signal Process., 2010)

Minimizing the Moreau Envelope of Nonsmooth Convex Functions over the Fixed Point Set of Certain Quasi-Nonexpansive Mappings. - Isao Yamada; Masahiro Yukawa; Masao Yamagishi (Fixed-Point Algorithms for Inverse Problems in Science and Engineering, 2011)

Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques. - Masahiro Yukawa (ICICS, 2011)

Nonlinear adaptive filtering techniques with multiple kernels. - Masahiro Yukawa (EUSIPCO, 2011)

A deterministic analysis of linearly constrained adaptive filtering algorithms. - Masahiro Yukawa; Isao Yamada (EUSIPCO, 2011)

Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2011)

Adaptive beamforming by simultaneous projection in dual domains. - Masahiro Yukawa; Isao Yamada (nDS, 2011)

Coordinated beamforming with relaxed zero forcing. - Gilwon Lee; Juho Park; Youngchul Sung; Masahiro Yukawa (WCSP, 2011)

Color-tone similarity on digital images. - Hisakazu Kikuchi; Heikki Huttunen; Junghyeun Hwang; Masahiro Yukawa; Shogo Muramatsu; Jaeho Shin 003 (APSIPA, 2012)

Image restoration with union of directional orthonormal DWTs. - Shogo Muramatsu; Natsuki Aizawa; Masahiro Yukawa (APSIPA, 2012)

An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace. - Masahiro Yukawa; Ryu-ichiro Ishii (EUSIPCO, 2012)

Sparsity-aware adaptive filters based on ℓp-norm inspired soft-thresholding technique. - Masahiro Yukawa; Yuta Tawara; Masao Yamagishi; Isao Yamada (ISCAS, 2012)

ℓp-constrained least squares (0 < p < 1) and its critical path. - Masahiro Yukawa; Shun-ichi Amari (ISIT, 2012)

Nonlinear channel equalization by multi-kernel adaptive filter. - You Nakajima; Masahiro Yukawa (SPAWC, 2012)

Coordinate Beamforming with Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control - Juho Park; Gilwon Lee; Youngchul Sung; Masahiro Yukawa (CoRR, 2012)

Multikernel Adaptive Filtering. - Masahiro Yukawa (IEEE Trans. Signal Process., 2012)

Widely linear LQCMV beamformer and augmented dual-domain adaptive algorithm. - Masahiro Yukawa; Yuki Saito (ICICS, 2013)

A reconsideration of improved PNLMS algorithm from metric combining viewpoint. - Osamu Toda; Masahiro Yukawa (ACSSC, 2013)

On adaptivity of online model selection method based on multikernel adaptive filtering. - Masahiro Yukawa; Ryu-ichiro Ishii (APSIPA, 2013)

Online model selection and learning by multikernel adaptive filtering. - Masahiro Yukawa; Ryu-ichiro Ishii (EUSIPCO, 2013)

A sparse optimization approach to supervised NMF based on convex analytic method. - Yu Morikawa; Masahiro Yukawa (ICASSP, 2013)

An efficient data-reusing kernel adaptive filtering algorithm based on Parallel HYperslab Projection along Affine Subspaces. - Masa-aki Takizawa; Masahiro Yukawa (ICASSP, 2013)

A Sparsity-Based Design of Regularization Parameter for Adaptive Proximal Forward-Backward Splitting Algorithm. - Masahiro Yukawa; Yuta Tawara; Shigenobu Sasaki; Isao Yamada (ISWCS, 2013)

Robust Reduced-Rank Adaptive Processing Based on Parallel Subgradient Projection and Krylov Subspace Techniques. - Rodrigo Caiado de Lamare; Masahiro Yukawa; Isao Yamada (CoRR, 2013)

Lp-Regularized Least Squares (0<p<1) and Critical Path - Masahiro Yukawa; Shun-ichi Amari (CoRR, 2013)

Image Restoration with Multiple DirLOTs. - Natsuki Aizawa; Shogo Muramatsu; Masahiro Yukawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

Minkovskian Gradient for Sparse Optimization. - Shun-ichi Amari; Masahiro Yukawa (IEEE J. Sel. Top. Signal Process., 2013)

Coordinated Beamforming With Relaxed Zero Forcing: The Sequential Orthogonal Projection Combining Method and Rate Control. - Juho Park; Gilwon Lee; Youngchul Sung; Masahiro Yukawa (IEEE Trans. Signal Process., 2013)

Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance. - Masahiro Yukawa; Youngchul Sung; Gilwon Lee (IEEE Trans. Signal Process., 2013)

On Kernel design for online model selection by Gaussian multikernel adaptive filtering. - Osamu Toda; Masahiro Yukawa (APSIPA, 2014)

An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space. - Masa-aki Takizawa; Masahiro Yukawa (ICASSP, 2014)

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2014)

An Efficient Adaptive Filtering Scheme Based on Combining Multiple Metrics. - Osamu Toda; Masahiro Yukawa; Shigenobu Sasaki; Hisakazu Kikuchi (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Can Critical-Point Paths Under ℓp-Regularization (0<p<1) Reach the Sparsest Least Squares Solutions? - Kwangjin Jeong; Masahiro Yukawa; Shun-ichi Amari (IEEE Trans. Inf. Theory, 2014)

Supervised nonnegative matrix factorization using active-period-aware structured ℓ1-norm for music transcription. - Yu Morikawa; Masahiro Yukawa; Hisakazu Kikuchi (APSIPA, 2015)

A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces. - Masa-aki Takizawa; Masahiro Yukawa; Cédric Richard (ICASSP, 2015)

An efficient kernel normalized least mean square algorithm with compactly supported kernel. - Osamu Toda; Masahiro Yukawa (ICASSP, 2015)

Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces. - Masahiro Yukawa (ICASSP, 2015)

Adaptive Nonlinear Estimation Based on Parallel Projection Along Affine Subspaces in Reproducing Kernel Hilbert Space. - Masa-aki Takizawa; Masahiro Yukawa (IEEE Trans. Signal Process., 2015)

Adaptive Learning in Cartesian Product of Reproducing Kernel Hilbert Spaces. - Masahiro Yukawa (IEEE Trans. Signal Process., 2015)

Supervised nonnegative matrix factorization with Dual-Itakura-Saito and Kullback-Leibler divergences for music transcription. - Hideaki Kagami; Masahiro Yukawa (EUSIPCO, 2016)

A better metric in kernel adaptive filtering. - Airi Takeuchi; Masahiro Yukawa; Klaus-Robert Müller (EUSIPCO, 2016)

Why Does a Hilbertian Metric Work Efficiently in Online Learning With Kernels? - Masahiro Yukawa; Klaus-Robert Müller (IEEE Signal Process. Lett., 2016)

ℓp-Regularized Least Squares (0<p<1) and Critical Path. - Masahiro Yukawa; Shun-ichi Amari (IEEE Trans. Inf. Theory, 2016)

Efficient Dictionary-Refining Kernel Adaptive Filter With Fundamental Insights. - Masa-aki Takizawa; Masahiro Yukawa (IEEE Trans. Signal Process., 2016)

Kernel-Based Adaptive Online Reconstruction of Coverage Maps With Side Information. - Martin Kasparick 001; Renato L. G. Cavalcante; Stefan Valentin; Slawomir Stanczak; Masahiro Yukawa (IEEE Trans. Veh. Technol., 2016)

Online learning in L2 space with multiple Gaussian kernels. - Motoya Ohnishi; Masahiro Yukawa (EUSIPCO, 2017)

A majorization-minimization algorithm with projected gradient updates for time-domain spectrogram factorization. - Hideaki Kagami; Hirokazu Kameoka; Masahiro Yukawa (ICASSP, 2017)

Complex NMF with the generalized Kullback-Leibler divergence. - Hirokazu Kameoka; Hideaki Kagami; Masahiro Yukawa (ICASSP, 2017)

Projection-based dual averaging for stochastic sparse optimization. - Asahi Ushio; Masahiro Yukawa (ICASSP, 2017)

Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering. - Masao Yamagishi; Masahiro Yukawa; Isao Yamada (ICASSP, 2017)

Distributed nonlinear regression using in-network processing with multiple Gaussian kernels. - Ban-Sok Shin; Henning Paul; Masahiro Yukawa; Armin Dekorsy (SPAWC, 2017)

Online Model-Selection and Learning for Nonlinear Estimation Based on Multikernel Adaptive Filtering. - Osamu Toda; Masahiro Yukawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios. - Masahiro Yukawa; Isao Yamada (APSIPA, 2018)

Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors. - Yuto Ogino; Masahiro Yukawa (EUSIPCO, 2018)

Automatic Shrinkage Tuning Robust to Input Correlation for Sparsity-Aware Adaptive Filtering. - Kwangjin Jeong; Masahiro Yukawa; Masao Yamagishi; Isao Yamada (ICASSP, 2018)

Joint Separation and Dereverberation of Reverberant Mixtures with Determined Multichannel Non-Negative Matrix Factorization. - Hideaki Kagami; Hirokazu Kameoka; Masahiro Yukawa (ICASSP, 2018)

A Hybrid Dictionary Approach for Distributed Kernel Adaptive Filtering in Diffusion Networks. - Ban-Sok Shin; Masahiro Yukawa; Renato L. G. Cavalcante; Armin Dekorsy (ICASSP, 2018)

How are the Centered Kernel Principal Components Relevant to Regression Task? -An Exact Analysis. - Masahiro Yukawa; Klaus-Robert Müller; Yuto Ogino (ICASSP, 2018)

Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach. - Daniyal Amir Awan; Renato L. G. Cavalcante; Masahiro Yukawa; Slawomir Stanczak (ICC, 2018)

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces. - Motoya Ohnishi; Masahiro Yukawa; Mikael Johansson; Masashi Sugiyama (NeurIPS, 2018)

Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription. - Masahiro Yukawa; Hideaki Kagami (J. Frankl. Inst., 2018)

Online Nonlinear Estimation via Iterative L2-Space Projections: Reproducing Kernel of Subspace. - Motoya Ohnishi; Masahiro Yukawa (IEEE Trans. Signal Process., 2018)

Distributed Adaptive Learning With Multiple Kernels in Diffusion Networks. - Ban-Sok Shin; Masahiro Yukawa; Renato Luís Garrido Cavalcante; Armin Dekorsy (IEEE Trans. Signal Process., 2018)

Online Multiscale-Data Classification Based on Multikernel Adaptive Filtering with Application to Sentiment Analysis. - Ran Iwamoto; Masahiro Yukawa (EUSIPCO, 2019)

Automatic Kernel Weighting for Multikernel Adaptive Filtering: Multiscale Aspects. - Kwangjin Jeong; Masahiro Yukawa (ICASSP, 2019)

Convolutional-sparse-coded Dynamic Mode Decomposition and Its Application to River State Estimation. - Yu Kaneko; Shogo Muramatsu; Hiroyasu Yasuda; Kiyoshi Hayasaka; Yu Otake; Shunsuke Ono; Masahiro Yukawa (ICASSP, 2019)

Beamformer Design under Time-correlated Interference and Online Implementation: Brain-activity Reconstruction from EEG. - Takehiro Kono; Masahiro Yukawa; Tomasz Piotrowski (ICASSP, 2019)

Online Learning with Self-tuned Gaussian Kernels: Good Kernel-initialization by Multiscale Screening. - Masa-aki Takizawa; Masahiro Yukawa (ICASSP, 2019)

Projection-Based Regularized Dual Averaging for Stochastic Optimization. - Asahi Ushio; Masahiro Yukawa (IEEE Trans. Signal Process., 2019)

Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function. - Kyohei Suzuki; Masahiro Yukawa (EUSIPCO, 2020)

Normalized Least-Mean-Square Algorithms with Minimax Concave Penalty. - Hiroyuki Kaneko; Masahiro Yukawa (ICASSP, 2020)

Steepening Squared Error Function Facilitates Online Adaptation of Gaussian Scales. - Masa-aki Takizawa; Masahiro Yukawa (ICASSP, 2020)

RIJP at SemEval-2020 Task 1: Gaussian-based Embeddings for Semantic Change Detection. - Ran Iwamoto; Masahiro Yukawa (SemEval@COLING, 2020)

A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians. - Masa-aki Takizawa; Masahiro Yukawa (APSIPA ASC, 2021)

A Graph Learning Algorithm Based On Gaussian Markov Random Fields And Minimax Concave Penalty. - Tatsuya Koyakumaru; Masahiro Yukawa; Eduardo Pavez; Antonio Ortega (ICASSP, 2021)

Outlier-Robust Kernel Hierarchical-Optimization RLS on a Budget with Affine Constraints. - Konstantinos Slavakis; Masahiro Yukawa (ICASSP, 2021)

Distributed Sparse Optimization With Minimax Concave Regularization. - Kei Komuro; Masahiro Yukawa; Renato L. G. Cavalcante (SSP, 2021)

Joint Learning of Model Parameters and Coefficients for Online Nonlinear Estimation. - Masa-aki Takizawa; Masahiro Yukawa (IEEE Access, 2021)

Kernel Weights for Equalizing Kernel-Wise Convergence Rates of Multikernel Adaptive Filtering. - Kwangjin Jeong; Masahiro Yukawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021)

Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function. - Kyohei Suzuki; Masahiro Yukawa (IEEE Trans. Signal Process., 2021)

Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality. - Kei Komuro; Masahiro Yukawa; Renato L. G. Cavalcante (EUSIPCO, 2022)

Efficient Robust Graph Learning Based on Minimax Concave Penalty and $ gamma$-Cross Entropy. - Tatsuya Koyakumaru; Masahiro Yukawa (EUSIPCO, 2022)

Stable Robust Regression under Sparse Outlier and Gaussian Noise. - Masahiro Yukawa; Kyohei Suzuki; Isao Yamada (EUSIPCO, 2022)

Sparse Stable Outlier-Robust Regression with Minimax Concave Function. - Kyohei Suzuki; Masahiro Yukawa (MLSP, 2022)

On Grouping Effect of Sparse Stable Outlier-Robust Regression. - Kyohei Suzuki; Masahiro Yukawa (MLSP, 2022)

Relaxed zero-forcing beamformer under temporally-correlated interference. - Takehiro Kono; Masahiro Yukawa; Tomasz Piotrowski (Signal Process., 2022)

Distributed Sparse Optimization With Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties Towards Global Optimality. - Kei Komuro; Masahiro Yukawa; Renato Luís Garrido Cavalcante (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra. - Keisuke Takazawa; Hirokazu Kameoka; Masahiro Yukawa (APSIPA ASC, 2023)

Online Kernel-Based Quantile Regression Using Huberized Pinball Loss. - Takumi Ichinose; Masahiro Yukawa; Renato L. G. Cavalcante (EUSIPCO, 2023)

Distributed Stable Outlier-Robust Signal Recovery using Minimax Concave Loss. - Maximilian H. V. Tillmann; Masahiro Yukawa (MLSP, 2023)

Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields. - Tatsuya Koyakumaru; Masahiro Yukawa; Eduardo Pavez; Antonio Ortega (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach. - Daniyal Amir Awan; Renato Luís Garrido Cavalcante; Masahiro Yukawa; Slawomir Stanczak (IEEE Trans. Signal Process., 2023)

Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise. - Kyohei Suzuki; Masahiro Yukawa (IEEE Trans. Signal Process., 2023)

Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression. - Masahiro Yukawa; Hiroyuki Kaneko; Kyohei Suzuki; Isao Yamada (IEEE Trans. Signal Process., 2023)

Robust Adaptive Filtering Based on Adaptive Projected Subgradient Method: Moreau Enhancement of Distance Function. - Daiki Sawada; Masahiro Yukawa (APSIPA, 2024)

Robust Quantile Regression Under Unreliable Data. - Yoshifumi Shoji; Masahiro Yukawa (APSIPA, 2024)

External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity. - Kyohei Suzuki; Masahiro Yukawa (ICASSP, 2024)

Limes-SVM: A Robust Classification Approach Bridging Soft-Margin and Hard-Margin SVMS. - Ryotaro Kadowaki; Masahiro Yukawa (MLSP, 2024)

Robust Method for Network Topology Identification Under Structural Equation Model. - Kohei Yoshida; Masahiro Yukawa (MLSP, 2024)

Robust Estimation of Angular Power Spectrum in Massive MIMO Under Covariance Estimation Errors: Learning Centers and Scales of Gaussians. - Naoto Kaneko; Masahiro Yukawa; Renato L. G. Cavalcante; Lorenzo Miretti (SPAWC, 2024)

Dispersed-sparsity-aware LMS algorithm for scattering-sparse system identification. - Chengcheng Wang; Ye Wei; Masahiro Yukawa (Signal Process., 2024)

Distributed Convex Optimization "Over-the-Air" in Dynamic Environments. - Navneet Agrawal; Renato Luís Garrido Cavalcante; Masahiro Yukawa; Slawomir Stanczak (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss. - Maximilian H. V. Tillmann; Masahiro Yukawa (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches Free From Lipschitz Constant Control. - Masahiro Yukawa; Isao Yamada (IEEE Trans. Signal Process., 2025)

Federated Smoothing ADMM for Localization. - Reza Mirzaeifard; Ashkan Moradi; Masahiro Yukawa; Stefan Werner 001 (CoRR, 2025)