Masahiro
Yukawa
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Masahiro Yukawa – Publications

Professor, Department of Electronics and Electrical Engineering, Keio University, JAPAN
Book Chapter
Tutorial Papers
    1. 湯川正裕, 第一回：凸解析的アプローチへのプロムナード, 日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ, 78巻 8号, pp. 457--464, 2022. [ 無料公開]
      (Masahiro Yukawa, ``Lecture Series 1: A Friendly Guidance to Convex Analytic Approach," )

    2. 湯川正裕， 第二回：凸解析に基づく信号処理への招待, 日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ, 78巻 9号, pp.540--547, 2022. [ 無料公開]
      (Masahiro Yukawa, ``Lecture Series 2: A Guided Tour to Convex Analysis in Adaptive Signal Processing," )

    3. 湯川正裕，第三回：不動点近似型適応アルゴリズムと応用, 日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ, 78巻 10号, pp.606--614, 2022. [ 無料公開]
      (Masahiro Yukawa, ``Lecture Series 3: Convex Analytic Approach to Adaptive Signal Processing," )

    4. 湯川正裕, 第四回：再生核に基づく非線形数理モデル, 日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ, 78巻 11号, pp.692--699, 2022. [ 無料公開]
      (Masahiro Yukawa, ``Lecture Series 4: Nonlinear Mathematical Model Based on Reproducing Kernel," )

    5. 湯川正裕, 第五回(最終): 非線形適応フィルタと応用：再生核と不動点近似型 アルゴリズムの出会い, 日本音響学会誌, 連載講座：非線形適応信号処理への凸解析的アプローチ, 78巻 12号, pp.730--739, 2022. [ 無料公開]
      (Masahiro Yukawa, ``Lecture Series 5: Lecture Series 5 (The Final): Nonlinear Adaptive Filter and Applications: Where Reproducing Kernel Meets Fixed-Point Iteration," )

    6. 湯川正裕，スパース表現と凸最適化に基づく非負値行列因子分解と音楽信号処理への応用 SCAT 技術情報誌 TELECOM FRONTIER, No.96, 2017, AUTUMN. [PDF]
      (Masahiro Yukawa, "Nonnegative matrix factorization based on sparse representation and convex optimization: an application to music signal processing," TELECOM FRONTIER, No.96, 2017, SPRING.)

    7. 湯川正裕，Adaptive Learning with Reproducing Kernels， 数理解析研究所講究録1980（再生核の応用についての総合的な研究), 京都大学数理解析研究所, pp.1--15, 2016年1月.
      Masahiro Yukawa, Adaptive Learning with Reproducing Kernels, RIMS Kokyuroku 1980 (General Topics on applications of reproducing kernels), Research Institute for Mathematical Sciences, Kyoto University, pp.1--15, January 2016.

    8. 湯川正裕，音響適応信号処理と最適化：スパース性の活用， 日本音響学会誌, 71巻 11号, pp.615--623, 2015.

    9. 湯川正裕，非線形適応信号処理技術の新潮流:再生核の応用, 電子情報通信学会誌 Vol.97, No.10, pp.876--882, 2014年10月. [PDF]
      (Masahiro Yukawa, "A New Stream of Nonlinear Adaptive Signal Processing Technique : An Application of Reproducing Kernel,", Proceedings of IEICE, vol.97, no.10, pp.876--882, October 2014. [PDF])

    10. 湯川正裕，適応信号処理の一般理論の探求：不動点近似と時変計量射影を軸にして SCAT 技術情報誌 TELECOM FRONTIER, No.75, 2012, SPRING. [PDF]
      (Masahiro Yukawa, "Pursuing the general theory of adaptive signal processing : An approach based on fixed point approximation and variable-metric projection," TELECOM FRONTIER, No.75, 2012, SPRING. [PDF])

Preprint
    1. Masahiro Yukawa and Isao Yamada, ``Monotone Lipschitz-Gradient Denoiser: Explainability of Operator Regularization Approaches and Convergence to Optimal Point,'' submitted for publication. (preprint: https://arxiv.org/abs/2406.04676 )

    2. Masahiro Yukawa, ``Continuous Relaxation of Discontinuous Shrinkage Operator: Proximal Inclusion and Conversion,'' submitted for publication. (preprint: https://doi.org/10.48550/arXiv.2409.05316 )

Articles in Journals
    1. Maximilian Henri Vincent Tillmann and Masahiro Yukawa, ``Stable Outlier-Robust Signal Recovery Over Networks: A Convex Analytic Approach Using Minimax Concave Loss,'' IEEE Trans. Signal and Information Processing over Networks, vol.10, pp.690--705, 2024.

    2. Chengcheng Wang, Ye Wei, and Masahiro Yukawa, ``Dispersed-Sparsity-Aware LMS Algorithm for Scattering-Sparse System Identification,'' Signal Processing, Elsevier, vol.225, pp.1--16, Dec. 2024.

    3. Navneet Agrawal, Renato L.G. Cavalcante, Masahiro Yukawa, and Slawomir Stanczak, ``Distributed Convex Optimization ``Over-the-Air'' in Dynamic Environments,'' IEEE Trans. Signal and Information Processing over Networks, vol.10, pp.610--625, 2024.


    4. Daniyal Amir Awan, Renato L.G. Cavalcante, Masahiro Yukawa, and Slawomir Stanczak, ``Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach,'' IEEE Trans. Signal Processing, vol.71, pp.2103--2117, 2023.

    5. Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, Isao Yamada, ``Linearly-involved Moreau-Enhanced-over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression'' IEEE Trans. Signal Processing, vol.71, pp.1232--1247, 2023.

    6. Kyohei Suzuki and Masahiro Yukawa, ``Sparse Stable Outlier-Robust Signal Recovery Under Gaussian Noise,'' IEEE Trans. Signal Processing, vol.71, pp.372--387, 2023.

    7. Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega, ``Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields,'' IEICE Trans. Fundamentals, vol.E106-A, no.1, pp.23―34, January 2023.

    8. Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante, ``Distributed Sparse Optimization with Weakly Convex Regularizer: Consensus Promoting and Approximate Moreau Enhanced Penalties towards Global Optimality," IEEE Trans. Signal and Information Processing over Networks, vol.8, pp.514--527, 2022.

    9. T. Kono, M. Yukawa, and T. Piotrowski, ``Relaxed Zero-Forcing Beamformer under Temporally-Correlated Interference,'' Signal Processing, Elsevier, vol.190, pp.1--14, Jan. 2021.

    10. Kwangjin Jeong and Masahiro Yukawa, ``Kernel weights for equalizing kernel-wise convergence rates of multikernel adaptive filtering," IEICE Trans. Fundamentals, vol.E104-A, no.6, pp.927―939, June 2021.

    11. Masaaki Takizawa and Masahiro Yukawa, ``Joint learning of model parameters and coefficients for online nonlinear estimation," IEEE Access, vol.9, pp.24026--24040, 2021. (Publication: January 2021)

    12. Kyohei Suzuki and Masahiro Yukawa, ``Robust recovery of jointly-sparse signals using minimax concave loss function," IEEE Trans. Signal Processing, vol.69, pp.669--681, 2021. (Article DOI: 10.1109/TSP.2020.3044445) (Publication: December 2020)

    13. Asahi Ushio and Masahiro Yukawa, ``Projection-based regularized dual averaging for stochastic optimization," IEEE Trans. Signal Processing, vol.67, no.10, pp.2720--2733, May 2019.

    14. Ban-Sok Shin, Masahiro Yukawa, Renato Luis Garrido Cavalcante, and Armin Dekorsy, ``Distributed adaptive learning with multiple kernels in diffusion networks," IEEE Trans. Signal Processing, vol.66, no.21, pp.5505--5519, Nov. 2018.

    15. Motoya Ohnishi and Masahiro Yukawa, ``Online nonlinear estimation via iterative L2-space projections: reproducing kernel of subspace," IEEE Trans. Signal Processing, vol.66, no.15, pp.4050--4064, August 2018.

    16. Masahiro Yukawa and Hideaki Kagami, ``Supervised nonnegative matrix factorization via minimization of regularized Moreau-envelope of divergence function with application to music transcription", Journal of the Franklin Institute, Special Issue on Recent Advances in Machine Learning for Signal Analysis and Processing, Volume 355, Issue 4, pp. 2041--2066, March 2018. (Invited by Prof. Zhiping Lin of NTU, Singapore). link

    17. Osamu Toda and Masahiro Yukawa, `` Online model-selection and learning for nonlinear estimation based on multikernel adaptive filtering", IEICE Trans. Fundamentals, vol.E100-A, no.1, pp.236--250, January 2017.

    18. Masahiro Yukawa and Klaus R. Müller, ``Why does a Hilbertian metric work efficiently in online learning with kernels?", IEEE Signal Processing Letters, vol. 23, no. 10, pp. 1424-1428, October 2016.

    19. Masaaki Takizawa and Masahiro Yukawa, ``Efficient dictionary-refining kernel adaptive filter with fundamental insights", IEEE Trans. Signal Processing, vol.64, no.16, pp.4337--4350, August 2016.

    20. Martin Kasparick, Renato L. G. Cavalcante, Stefan Valentin, Slawomir Stanczak, and Masahiro Yukawa, ``Kernel-based adaptive online reconstruction of coverage maps with side information", IEEE Trans. Vehicular Technology, vol.65, no.7, pp.5461--5473, July 2016.

    21. Masahiro Yukawa and Shun-ichi Amari, ``Lp-regularized least squares (0<p<1) and critical path", IEEE Trans. Information Theory, vol.62, no.1, pp.488--502, January 2016.

    22. Masahiro Yukawa, ``Adaptive learning in Cartesian product of reproducing kernel Hilbert spaces", IEEE Trans. Signal Processing, vol.63, no.22, pp.6037--6048, November 2015.

    23. Masaaki Takizawa and Masahiro Yukawa, ``Adaptive nonlinear estimation based on parallel projection along affine subspaces in reproducing kernel Hilbert space", IEEE Trans. Signal Processing, vol.63, no.16, pp.4257--4269, August 2015.

    24. Kwangjin Jeong, Masahiro Yukawa, and Shun-ichi Amari, ``Can Critical-Point Paths Under Lp-regularization (0<p<1) Reach the Sparsest Least Squares Solutions?", IEEE Trans. Information Theory, vol.60, no.5, pp.2960--2968, May 2014.

    25. Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi, ``An efficient adaptive filtering scheme based on combining multiple metrics", IEICE Trans. Fundamentals, vol.E97-A, no.3, pp.800--808, March 2014.

    26. Natsuki Aizawa, Shogo Muramatsu, and Masahiro Yukawa, ``Image restoration with multiple DirLOTs," IEICE Trans. Fundamentals, vol.E96-A, no.10, pp.1954--1961, October 2013.

    27. Shun-ichi Amari and Masahiro Yukawa, ``Minkovskian gradient for sparse optimization," IEEE Journal of Selected Topics in Signal Processing, vol.4, no.4, pp.576--585, August 2013.

    28. Juho Park, Gilwon Lee, Youngchul Sung, and Masahiro Yukawa, ``Coordinated beamforming with relaxed zero forcing: the sequential orthogonal projection combining method and rate control", IEEE Trans. Signal Processing, vol. 61, no.12 , pp.3100--3112, June 15, 2013.

    29. Masahiro Yukawa, Youngchul Sung, and Gilwon Lee, ``Dual-domain adaptive beamformer under linearly and quadratically constrained minimum variance", IEEE Trans. Signal Processing, vol. 61, no. 11, pp.2874--2886, June 1, 2013.

    30. Masahiro Yukawa, ``Multikernel adaptive filtering", IEEE Trans. Signal Processing, vol. 60, no. 9, pp.4672--4682, September 2012.

    31. Masahiro Yukawa and Isao Yamada, ``Set-theoretic adaptive filtering based on data-driven sparsification,'' International Journal of Adaptive Control and Signal Processing, vol. 25, pp.707--722, Wiley, 2011. (Article first published online: 29 MAR 2011)

    32. Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, Shogo Muramatsu, "An investigation on the quality of denoised images, International Journal of Circuits, Systems, and Signal Processing,`` Issue 4, Volume 5, pp.423-434, July 2011.

    33. Lei Wang, Rodrigo C. de Lamare, and Masahiro Yukawa, ``Adaptive reduced-rank constrained constant modulus algorithms based on joint iterative optimization of filters for beamforming,'' IEEE Trans. Signal Processing, vol. 58, no. 6, pp.2983--2997, June 2010.

    34. Masahiro Yukawa and Wolfgang Utschick, ``A fast stochastic gradient algorithm: Maximal use of sparsification benefits under computational constraints,'' IEICE Trans. Fundamentals, vol. E93-A, no. 2, pp.467--475, February 2010.

    35. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Multi-domain adaptive learning based on feasibility splitting and adaptive projected subgradient method,'' IEICE Trans. Fundamentals, vol. E93-A, no. 2, pp.456--466, February 2010.

    36. Masahiro Yukawa and Isao Yamada, ``A unified view of adaptive variable-metric projection algorithms,'' EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 589260, pp.1--13, 2009 [ PDF]. (published on 15 December 2009)

    37. Masahiro Yukawa, Rodrigo C. de Lamare, and Isao Yamada, ``Robust reduced rank adaptive algorithm based on parallel subgradient projection and Krylov subspace,'' IEEE Trans. Signal Processing, vol. 57, no. 12, pp.4660--4674, December 2009.

    38. Masahiro Yukawa, ``Krylov-proportionate adaptive filtering techniques not limited to sparse systems,'' IEEE Trans. Signal Processing, vol. 57, no. 3, pp.927--943, March 2009. [Basic Concepts]

    39. Masahiro Yukawa, Ken Umeno, and Gen Hori, ``Employing LSF at transmitter eases MMSE adaptation at receiver in asynchronous CDMA systems,'' EURASIP Journal on Wireless Communications and Networking, vol. 2008, Article ID 298784, pp.1--9, 2008 [ PDF]. (18 January 2009)

    40. Masahiro Yukawa, Rodrigo C. de Lamare, and Raimundo Sampaio-Neto, ``Efficient acoustic echo cancellation with reduced-rank adaptive filtering based on selective decimation and adaptive interpolation,'' IEEE Trans. Audio, Speech and Language Processing, vol. 16, no. 4, pp.696--710, May 2008.

    41. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, "Adaptive parallel quadratic-metric projection algorithms," IEEE Trans. Audio, Speech and Language Processing, vol. 15, no. 5, pp.1665--1680, July 2007.

    42. Masahiro Yukawa and Isao Yamada, ``Pairwise optimal weight realization ---Acceleration technique for set-theoretic adaptive parallel subgradient projection algorithm," IEEE Trans. Signal Processing, vol. 54, no. 12, pp.4557--4571, Dec. 2006.

    43. Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada, ``An efficient distributed power control for infeasible downlink scenarios --- Global-local fixed-point-approximation technique," IEICE Trans. Fundamentals, vol. E89-A, no. 8, pp.2107--2118, Aug. 2006.

    44. Masahiro Yukawa, Noriaki Murakoshi, and Isao Yamada, ``Efficient fast stereo acoustic echo cancellation based on pairwise optimal weight realization technique," EURASIP Journal on Applied Signal Processing (Special Issue on Advances in Multimicrophone Speech Processing) , vol. 2006, Article ID 84797, 15 pages, 2006 [ PDF]. (published on 16 April 2006)

    45. Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada, ``Efficient blind MAI suppression in DS/CDMA systems by embedded constraint parallel projection techniques," IEICE Trans. Fundamentals, vol. E88-A, no. 8, pp.2062--2071, Aug. 2005 [ PDF]. [Excellent Paper Award of IEICE, Yasujiro-Niwa Outstanding Paper Award]

    46. Masahiro Yukawa and Isao Yamada, ``Efficient adaptive stereo echo canceling schemes based on simultaneous use of multiple state data," IEICE Trans. Fundamentals, vol. E87-A, no. 8, pp.1949--1957, Aug. 2004.

Peer-Reviewed Articles in Conference Proceedings
    1. Daiki Sawada and Masahiro Yukawa, ``Robust Adaptive Filtering Based on Adaptive Projected Subgradient Method: Moreau Enhancement of Distance Function,'' APSIPA-ASC, Macao, 2024, accepted.

    2. Yoshifumi Shoji and Masahiro Yukawa, ``Robust Quantile Regression Under Unreliable Data,'' APSIPA-ASC, Macao, 2024, accepted.

    3. Kohei Yoshida and Masahiro Yukawa, ``Robust Method for Network Topology Identification under Structural Equation Model,'' in Proceedings of IEEE MLSP, pp.1--6, London: UK, September 2024.

    4. Ryotaro Kadowaki and Masahiro Yukawa, ``LiMES-SVM: A robust classification approach bridging soft-margin and hard-margin SVMs,'' submitted. in Proceedings of IEEE MLSP, pp.1--6, London: UK, September 2024.

    5. Naoto Kaneko and Masahiro Yukawa, Renato L. G. Cavalcante, and Lorenzo Miretti, ``Robust Estimation of Angular Power Spectrum in Massive MIMO Under Covariance Estimation Errors: Learning Centers and Scales of Gaussians,'' in Proceedings of IEEE SPAWC, pp.576--580, Lucca: Italy, September 2024.

    6. Kyohei Suzuki and Masahiro Yukawa, ``External Division of Two Proximity Operators: an Application to Signal Recovery with Structured Sparsity,'' in Proceedings of 49th IEEE ICASSP, pp.9471--9475, Seoul, South Korea, April 2024.

    7. Keisuke Takazawa, Hirokazu Kameoka, and Masahiro Yukawa, ``Multiple Sound Source Tracking Based on Generative Modeling and Recursive Bayesian Filtering of Spatial Gradient Spectra,'' In Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Taipei: Taiwan, pp. 2008--2012, November 2023.

    8. Maximilian Henri Vincent Tillmann and Masahiro Yukawa, ``Distributed Stable Outlier-Robust Signal Recovery Using Minimax Concave Loss,'' in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 6 pages, Rome: Italy, 2023.

    9. Takumi Ichinose, Masahiro Yukawa, and R.L.G. Cavalcante, ``Online Kernel-Based Quantile Regression Using Huberized Pinball Loss,'' in Proceedings of EUSIPCO (European Signal Processing Conference), pp.1803-1807, Helsinki, September 2023.

    10. Eiji Ninomiya, Masahiro Yukawa, Renato L. G. Cavalcante and Lorenzo Miretti, ``Estimation of Angular Power Spectrum Using Multikernel Adaptive Filtering,'' Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Chiang Mai: Thailand, pp. 1996--2000, November 2022. (doi: 10.23919/APSIPAASC55919.2022.9980067)

    11. Tatsuya Koyakumaru and Masahiro Yukawa, ``An Efficient Robust Graph Learning Approach Based on Minimax Concave Penalty and γ-Cross Entropy," in Proceedings of EUSIPCO (European Signal Processing Conference), pp.1776--1780, August--September 2022.

    12. Masahiro Yukawa, Kyohei Suzuki, and Isao Yamada, ``'Stable Robust Regression under Sparse Outlier and Gaussian Noise," in Proceedings of EUSIPCO (European Signal Processing Conference), pp.2236--2240, August--September 2022.

    13. Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante, ``Distributed Sparse Optimization Based on Minimax Concave and Consensus Promoting Penalties: Towards Global Optimality," in Proceedings of EUSIPCO (European Signal Processing Conference), pp.1841--1845, August--September 2022.

    14. Kyohei Suzuki and Masahiro Yukawa, ``On Grouping Effect Of Sparse Stable Outlier-Robust Regression," submitted. in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 6 pages, 2022.

    15. Kyohei Suzuki and Masahiro Yukawa, ``Sparse Stable Outlier-Robust Regression with Minimax Concave Function," submitted. in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 6 pages, August 2022.

    16. Masa-aki Takizawa and Masahiro Yukawa, ``A Hilbertian Projection Approach with Dictionary Dividing Strategy: Accelerating Nonlinear Estimation Algorithm with Multiscale Gaussians,'' in Proceedings of APSIPA Annual Summit and Conference, Special Session: Online and Distributed Kernel Learning Algorithms, Dec. 2021.

    17. Kei Komuro, Masahiro Yukawa, and Renato L.G. Cavalcante, ``Distributed sparse optimization with minimax concave regularization," in Proceedings of IEEE Statistical Signal Processing Workshop, Special Session: Signal Modelling, Adaptive Learning and Applications, pp.1--5, July 2021.

    18. Konstantinos Slavakis, Masahiro Yukawa, ``Outlier-robust kernel hierarchical-optimization rls on a budget with affine constraints," in Proceedings of 46th IEEE ICASSP, pp.5315--5319 , 2021.

    19. Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, Antonio Ortega, ``A Graph Learning Algorithm Based on Gaussian Markov Random Fields and Minimax Concave Penalty," in Proceedings of 46th IEEE ICASSP, pp.5390--5394, 2021.

    20. Kyohei Suzuki and Masahiro Yukawa, ``Robust jointly-sparse signal recovery based on minimax concave loss function," in Proceedings of EUSIPCO (European Signal Processing Conference), pp.2070--2074, January 2021.

    21. Hiroyuki Kaneko and and Masahiro Yukawa, ``Normalized least-mean-square algorithms with minimax concave penalty," in Proceedings of 45th IEEE ICASSP, pp.5440--5444, 2020.

    22. Masa-aki Takizawa and Masahiro Yukawa, ``Steepening squared error function facilitates online adaptation of Gaussian scales," in Proceedings of 45th IEEE ICASSP, pp.5445--5449, 2020.

    23. Ran Iwamoto and Masahiro Yukawa, ``Sentiment analysis based on multikernel adaptive filtering: an online approach to multiscale data classification," in Proceedings of EUSIPCO (European Signal Processing Conference), 5 pages, 2019.

    24. Masaaki Takizawa and Masahiro Yukawa, ``Online learning with self-tuned Gaussian kernels: good kernel-initialization by multiscale screening,`` in Proceedings of 44th IEEE ICASSP, pp.4863--4867, Brighton, U.K., May 2019.

    25. Kwangjin Jeong and Masahiro Yukawa, ``Automatic kernel weighting for multikernel adaptive filtering: multiscale aspects," in Proceedings of 44th IEEE ICASSP, pp.3152--3156, Brighton, U.K., May 2019.

    26. Takehiro Kono, Masahiro Yukawa, and Tomasz Piotrowski, ``Beamformer design under time-correlated interference and online implementation: brain-activity reconstruction from EEG," in Proceedings of 44th IEEE ICASSP, pp.1070--1074, Brighton, U.K., May 2019.

    27. Y. Kaneko, S. Muramatsu, H. Yasuda, K. Hayasaka, Y. Otake, S. Ono, and M. Yukawa, ``Convolutional-sparse-coded dynamic mode decomposition and its application to river state estimation," in Proceedings of 44th IEEE ICASSP, pp.1872--1876, Brighton, U.K., May 2019.

    28. Motoya Ohnishi, Masahiro Yukawa, Mikael Johansson, Masashi Sugiyama, ``Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces”, Advances in Neural Information Processing Systems (NIPS 2018), Montreal, Canada, December 2018.

    29. Masahiro Yukawa and Isao Yamada, ``A Fixed-Point Analysis of Regularized Dual Averaging Under Static Scenarios", in Proceedings of APSIPA Annual Summit and Conference, Special Session: Recent Advances in Online Learning, Stochastic Optimization, and Adaptive Signal Processing, pp.207--211, Honolulu: USA, November 2018.

    30. Yuto Ogino and Masahiro Yukawa, 　``Spectral Clustering with Automatic Cluster-Number Identification via Finding Sparse Eigenvectors,” in Proceedings of EUSIPCO (European Signal Processing Conference), pp.1197--1201, Rome: Italy, September 2018.

    31. Daniyal Amir Awan, Renato L.G. Cavalcante, Masahiro Yukawa, and Slawomir Stanczak, ``Detection for 5G-NOMA: An Online Adaptive Machine Learning Approach," in Proceedings of IEEE International Conference on Communications (ICC), Kansas City, MO, USA, May 2018 (arXiv).

    32. Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada, ``Automatic shrinkage tuning robust to input correlation for sparsity-aware adaptive filtering," in Proceedings of 43rd IEEE ICASSP, pp.4314--4318, Calgary: Canada, April 2018.

    33. Masahiro Yukawa, Klaus R. Müller, and Yuto Ogino, ``How Are the Centered Kernel Principal Components Relevant to Regression Task?," in Proceedings of 43rd IEEE ICASSP, pp.2841--2845, Calgary: Canada, April 2018.

    34. Ban-Sok Shin, Masahiro Yukawa, Renato L.G. Cavalcante, and Armin Dekorsy, ``A hybrid dictionary approach for distributed kernel adaptive filtering in diffusion networks," in Proceedings of 43rd IEEE ICASSP, pp.3414--3418, Calgary: Canada, April 2018.

    35. Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa, ``Joint separation and dereverberation of reverberant mixtures with determined multichannel non-negative matrix factorization," in Proceedings of 43rd IEEE ICASSP, pp.31--35, Calgary: Canada, April 2018.

    36. Motoya Ohnishi and Masahiro Yukawa, ``Online Learning in L2 Space with Multiple Gaussian Kernels," in Proceedings of EUSIPCO, Kos: Greece, pp. 1644--1648, August--September 2017.

    37. B.-S. Shin, H. Paul, M. Yukawa, and A. Dekorsy, ``Distributed Nonlinear Regression Using In-Network Processing With Multiple Gaussian Kernels," in Proceedings of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), pp.41--45, Sapporo: Japan, July 2017.

    38. Masao Yamagishi, Yukawa Masahiro, and Isao Yamada, ``Automatic shrinkage tuning based on a system-mismatch estimate for sparsity-aware adaptive filtering," in Proceedings of 42nd IEEE ICASSP, pp.4800--4804, New Orleans: USA, March 2017.

    39. Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa, `` A majorization-minimization algorithm with projected gradient updates for time-domain spectrogram factorization," in Proceedings of 42nd IEEE ICASSP, pp.561--565, New Orleans: USA, March 2017.

    40. Hirokazu Kameoka, Hideaki Kagami, and Masahiro Yukawa, ``Complex NMF with the generalized Kullback-Leibler divergence," in Proceedings of 42nd IEEE ICASSP, pp.56--60, New Orleans: USA, March 2017.

    41. Asahi Ushio and Masahiro Yukawa, ``Projection-based dual averaging for stochastic sparse optimization," in Proceedings of 42nd IEEE ICASSP, pp.2307--2311, New Orleans: USA, March 2017.

    42. Airi Takeuchi, Masahiro Yukawa, and Klaus R. Müller, ``A Better Metric in Kernel Adaptive Filtering," in Proceedings of EUSIPCO, Budapest: Hungary, pp. 1578--1582, August--September 2016.

    43. Hideaki Kagami and Masahiro Yukawa, ``Supervised Nonnegative Matrix Factorization with Dual-Itakura-Saito and Kullback-Leibler Divergences for Music Transcription," in Proceedings of EUSIPCO, Budapest: Hungary, pp. 1138--1142, August--September 2016.

    44. Yu Morikawa, Masahiro Yukawa, and Hisakazu Kikuchi, ``Supervised Nonnegative Matrix Factorization Using Active-Period-Aware Structured L1-Norm for Music Transcription," in Proceedings of APSIPA Annual Summit and Conference, pp.14--18, December 2015. [Award Winning]

    45. Masahiro Yukawa, ``Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces," in Proceedings of 40th IEEE ICASSP, pp.3362--3366, Brisbane: Australia, April 2015.

    46. Osamu Toda and Masahiro Yukawa, ``An efficient kernel normalized least mean square algorithm with compactly supported kernel," in Proceedings of 40th IEEE ICASSP, pp.3367--3371, Brisbane: Australia, April 2015.

    47. Masaaki Takizawa, Masahiro Yukawa, and Cedric Richard, ``A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel Hilbert spaces," in Proceedings of 40th IEEE ICASSP, pp.2001--2005, Brisbane: Australia, April 2015. [arXiv]

    48. Osamu Toda and Masahiro Yukawa, ``On Kernel Design for Online Model Selection by Gaussian Multikernel Adaptive Filtering,” in Proceedings of APSIPA-ASC, Siem Reap: Cambodia, December 2014.

    49. Masaaki Takizawa and Masahiro Yukawa, ``An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space," in Proceedings of 39th IEEE ICASSP, pp.4541--4545, Florence: Italy, May 2014.

    50. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering," in Proceedings of 39th IEEE ICASSP, pp.5514--5518, Florence: Italy, May 2014.

    51. Masahiro Yukawa and Yuki Saito, ``Widely Linear LQCMV Beamformer and Augmented Dual-Domain Adaptive Algorithm," in Proceedings of International Conference on Information, Communications and Signal Processing (ICICS), pp.1--5, Tainan: Taiwan, December 2013 (INVITED paper).

    52. Osamu Toda and Masahiro Yukawa, ``A reconsideration of improved PNLMS algorithm from metric combining viewpoint," in Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove: CA, pp.1951--1955, November 2013.

    53. Masahiro Yukawa and Ryu-ichiro Ishii, ``On adaptivity of online model selection method based on multikernel adaptive filtering," in Proceedings of APSIPA-ASC, Kaohsiung: Taiwan, pp.1--6, October 2013.

    54. Masahiro Yukawa and Ryu-ichiro Ishii, ``Online model selection and learning by multikernel adaptive filtering," in Proceedings of 21st EUSIPCO, Marrakech: Morocco, pp.1--5, September 2013.

    55. Masahiro Yukawa, Yuta Tawara, Shigenobu Sasaki, and Isao Yamada, ``A sparsity-based design of regularization parameter for adaptive proximal forward-backward splitting algorithm," in Proceedings of International Symposium on Wireless Communication Systems (ISWCS), Ilmenau: Germany, pp.190--193, August 2013.

    56. Masaaki Takizawa and Masahiro Yukawa, ``An efficient data-reusing kernel adaptive filtering algorithm based on parallel hyperslab projection along affine subspaces," in Proceedings of 38th IEEE ICASSP, pp.3557--3561, Vancouver: Canada, May 2013.

    57. Yu Morikawa and Masahiro Yukawa, ``'A sparse optimization approach to supervised NMF based on convex analytic method," in Proceedings of 38th IEEE ICASSP, pp.6078--6082, Vancouver: Canada, May 2013.

    58. Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Masahiro Yukawa, Shogo Muramatsu, and Jaeho Shin, ``Color-tone similarity on digital images", in Proceedings of APSIPA-ASC, Hollywood: CA, December 2012.

    59. Shogo Muramatsu, Natsuki Aizawa, and Masahiro Yukawa, ``Image restoration with union of directional orthonormal DWTs", in Proceedings of APSIPA-ASC, Hollywood: CA, December 2012.

    60. Masahiro Yukawa and Ryu-ichiro Ishii, ``An efficient kernel adaptive filtering algorithm using hyperplane projection along affine subspace", in Proceedings of EUSIPCO, pp.2183--2187, Bucharest: Romania, August 2012.

    61. Hisakazu Kikuchi, Heikki Huttunen, Junghyeun Hwang, Shogo Muramatsu, Masahiro Yukawa, and Jaeho Shin, ``A study on picture-color similarity on digital images," in Proceedings of International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2012), Sapporo: Japan, July 2012.

    62. Masahiro Yukawa and Shun-ichi Amari, ``Lp-constrained least squares (0<p<1) and its critical path", in Proceedings of IEEE International Symposium on Information Theory (ISIT), pp.2231--2235, Cambridge, MA: USA, July 2012.

    63. You Nakajima and Masahiro Yukawa, ``Nonlinear channel equalization by multi-kernel adaptive filter", in Proceedings of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) , Cesme: Turkey, June 2012.

    64. Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, and Isao Yamada, ``Sparsity-aware adaptive filters based on Lp-norm inspired soft-thresholding technique", in Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), : Special Session on Adaptive Filtering and Their Applications, pp.2749--2752, Seoul: Korea, May 2012 (INVITED paper).

    65. Masahiro Yukawa, ``Rank-selection criterion for Krylov-subspace-based adaptive filtering techniques", in Proceedings of International Conference on Information, Communications and Signal Processing (ICICS) : Special Session on Adaptive Filtering and Their Applications, Singapore, December 2011 (INVITED paper).

    66. Gilwon Lee, J. Park, Youngchul Sung, and Masahiro Yukawa, ``Coordinated beamforming with relaxed zero forcing", in Proceedings of International Conference on Wireless Communications & Signal Processing (WCSP): Invited Session on Interference Management Techniques in Wireless Networks, Nanjing: China, November 2011 (INVITED paper).

    67. Masahiro Yukawa and Shun-ichi Amari, ``On extensions of LARS by information geometry : convex objectives and lp-norm", in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011): Special Session on Recent Advances in Adaptive/Sparse Signal Processing, Xi'an: China, October 2011.

    68. Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi, ``A hybrid approach for sparse adaptive filters under highly colored inputs", in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011), Xi'an: China, October 2011.

    69. Di Liu, Rajan S. Rashobh, Andy W. H. Khong, and Masahiro Yukawa, ``A subspace-based adaptive approach for multichannel equalization of room acoustics", in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2011): Special Session on Recent Advances in Adaptive/Sparse Signal Processing, Xi'an: China, October 2011.

    70. Masahiro Yukawa and Isao Yamada, ``Adaptive beamforming by simultaneous projection in dual domains," in Proceedings of The 7th International Workshop on Multidimensional (nD) Systems, Special Session: Multidimensional systems and signal processing research in Asia, Mo2.3, Poitiers: France, September 2011, (INVITED paper).

    71. Masahiro Yukawa and Isao Yamada, ``A deterministic analysis of linearly constrained adaptive filtering algorithms," in Proceedings of European Signal Processing Conference (EUSIPCO), pp.131--135, Barcelona: Spain, September 2011.

    72. Masahiro Yukawa, ``Nonlinear adaptive filtering techniques with multiple kernels," in Proceedings of European Signal Processing Conference (EUSIPCO), pp.136--140, Barcelona: Spain, September 2011.

    73. Masahiro Yukawa and Isao Yamada, ``Dual-domain adaptive beamforming based on direction-of-arrival information," in Proceedings of IEEE Workshop on Statistical Signal Processing, pp.141-144, Nice: France, June 2011.

    74. Masahiro Yukawa, Youngchul Sung, and Gilwon Lee, ``Adaptive interference suppression in MIMO multiple access channels based on dual-domain approach," in Proceedings of International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2011): Special Session on Advanced Communication and Signal Processing in Multiuser Communications under Interference Environment, pp.46--49, Gyeongju: Korea, June 2011.

    75. Muyesaier Mulaaihemaiti, Shun Munekata, Junghyeun Hwang, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa, Heikki Huttunen, and Jaeho Shin, ``A reproduction model of film grain texture for digital movies," in Proceedings of International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC 2011), pp.819-822, Gyeongju: Korea, June 2011.

    76. Peter Ndajah, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa and Francis Benyah, ``A total variation-morphological image edge detection approach," in Proceedings of 10th WSEAS Int. Conf. on Signal Processing, 6 pages, Canary Islands, Spain, May, 2011.

    77. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Acceleration of adaptive proximal forward-backward splitting method and its application to sparse system identification," in Proceedings of 36th IEEE ICASSP, pp.4296--4299, Prague: Czech, May 2011.

    78. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Sparse system identification by exponentially weighted adaptive parallel projection and generalized soft-thresholding,'' in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2010), pp.367--370, Biopolis: Singapore, December 2010 (INVITED paper).

    79. Peter Ndajah, Hisakazu Kikuchi, Masahiro Yukawa, Hidenori Watanabe, and Shogo Muramatsu, ``SSIM image quality metric for denoised images," in Proceedings of 3rd WSEAS International Conference on Visualization, Imaging and Simulation (VIS'10), pp.53-58, University of Algarve, Faro: Portugal, November 2010.

    80. Masahiro Yukawa and Isao Yamada, ``Two product-space formulations for unifying multiple metrics in set-theoretic adaptive filtering,'' in Proceedings of 44th Asilomar Conference on Signals, Systems, and Computers, pp.1010--1014, Pacific Grove: CA, November 2010.

    81. Masahiro Yukawa and Isao Yamada, ``Minimal antenna-subset selection under capacity constraint for power-efficient MIMO systems: A relaxed \ell_1 minimization approach," in Proceedings of 35th IEEE ICASSP, pp.3058--3061, Dallas: Texas U.S.A., March 2010.

    82. Masahiro Yukawa and Isao Yamada, ``A deterministic analysis of variable-metric adaptive filtering algorithms under small metric-fluctuations," in Proceedings of 35th IEEE ICASSP, pp.3730--3733, Dallas: Texas U.S.A., March 2010.

    83. Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``A sparse adaptive filtering using time-varying soft-thresholding techniques," in Proceedings of 35th IEEE ICASSP, pp.3734--3737, Dallas: Texas U.S.A., March 2010.

    84. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Multi-domain adaptive filtering by feasibility splitting," in Proceedings of 35th IEEE ICASSP, pp.3814--3817, Dallas: Texas U.S.A., March 2010.

    85. Isao Yamada and Masahiro Yukawa, ``Minimizing the Moreau envelope of nonsmooth convex function over the fixed point set of certain quasi-nonexpansive mappings,' in Proceedings of Interdisciplinary Workshop on Fixed-Point Algorithms for Inverse Problems in Science and Engineering , Banff: Canada, November 2009 (INVITED paper).

    86. Masahiro Yukawa and Isao Yamada, ``An efficient parallel variable-metric projection algorithm based on set-theoretic and krylov-proportionate adaptive filtering techniques,'' in Proceedings of Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2009), pp.418--421, Sapporo: Japan, October 2009.

    87. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Signal processing in dual domain by adaptive projected subgradient method,'' in Proceedings of 16th IEEE International Conference on Digital Signal Processing, pp.1--6, Santorini: Greece, July 2009.

    88. Masahiro Yukawa and Wolfgang Utschick, ``Proportionate adaptive algorithm for nonsparse systems based on Krylov subspace and constrained optimization," in Proceedings of 34th IEEE ICASSP, pp.3121--3124, Taipei: Taiwan, April 2009.

    89. Masahiro Yukawa, ``DS/CDMA linear receiver based on Krylov-proportionate adaptive filtering technique ---An extension to complex-valued signals," in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, pp.169--174, Cancun: Mexico, October 2008.

    90. Masahiro Yukawa, ``On whitening for Krylov-proportionate normalized least-mean-square algorithm," in Proceedings of IEEE International Workshop on Machine Learning for Signal Processing, pp.315--320, Cancun: Mexico, October 2008.

    91. Masahiro Yukawa, ``Krylov-proportionate NLMS algorithm based on multistage Wiener filter representation,'' in Proceedings of 33rd IEEE ICASSP, pp.3801--3804, Las Vegas: NV, March--April 2008.

    92. Masahiro Yukawa, Rodrigo C. de Lamare, and Isao Yamada, ``Set-theoretic reduced-rank adaptive filtering by adaptive projected subgradient method,'' in Proceedings of 41st Asilomar Conference on Signals, Systems, and Computers, pp.422--426, Pacific Grove: CA, November 2007.

    93. Masahiro Yukawa, Gen Hori, Ken Umeno, and Isao Yamada, ``Fast adaptive DS/CDMA interference suppression method based on quadratic-metric projection'' in Proceedings of 15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems, pp.129--132, Tokushima: Japan, July 2007.

    94. Gen Hori, Ken Umeno, Masahiro Yukawa, Ryo Takahashi, and Tomasz Piotrowski, ``Improvement of CDMA system using signal separation by independent component analysis'' in Proceedings of 15th IEEE International Workshop on Nonlinear Dynamics of Electronic Systems, pp.277--280, Tokushima: Japan, July 2007.

    95. Masahiro Yukawa, Rodrigo C. de Lamare, and Raimundo Sampaio-Neto, ``Acoustic echo cancellation with reduced-rank adaptive interpolated filter based on parallel-branch diversity decimation,'' in Proceedings of 15th IEEE International Conference on Digital Signal Processing, pp.39--42, Cardiff: UK, July 2007.

    96. Masahiro Yukawa and Isao Yamada, ``Adaptive parallel variable-metric projection algorithm ---An application to acoustic echo cancellation," in Proceedings of 32nd IEEE ICASSP, pp.1353--1356, Hawaii: USA, Apr. 2007.
    97. Masahiro Yukawa and Isao Yamada, ``Adaptive quadratic-metric parallel subgradient projection algorithm and its application to acoustic echo cancellation," in Proceedings of 14th EUSIPCO, Florence: Italy, Sept. 2006.

    98. Isao Yamada, Konstantinos Slavakis, Masahiro Yukawa, and Renato L. G. Cavalcante, ``Adaptive projected subgradient method and its applications to robust signal processing," in Proceedings of IEEE ISCAS (International Symposium on Circuits and Systems), pp.269--272, Island of Kos: Greece, May 2006, (INVITED paper).

    99. Masahiro Yukawa and Isao Yamada, ``Adaptive beamforming by constrained parallel projection in the presence of spatially-correlated interferences," in Proceedings of 31st IEEE ICASSP, pp.1009--1012, Toulouse: France, May 2006.

    100. Konstantinos Slavakis, Masahiro Yukawa, and Isao Yamada, ``Robust Capon beamforming by the adaptive projected subgradient method," in Proceedings of 31st IEEE ICASSP, pp.1005--1008, Toulouse: France, May 2006.

    101. Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada, ``An efficient heuristic approach to infeasible downlink power control problem," in Proceedings of 31st IEEE ICASSP, pp.765--768, Toulouse: France, May 2006.

    102. Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada, ``Set-theoretic DS/CDMA receivers for fading channels by adaptive projected subgradient method," in Proceedings of IEEE GLOBECOM (Global Telecommunications Conference), pp.2270--2275, St. Louis: MO, Nov.--Dec. 2005.

    103. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Stereo echo canceler by Adaptive Projected Subgradient Method with multiple room-acoustics information," in Proceedings of 2005 IWAENC (International Workshop on Acoustic Echo and Noise Control), S03-15, pp.185--188, Eindhoven: Netherlands, Sept. 2005.

    104. Masahiro Yukawa, Noriaki Murakoshi, and Isao Yamada, ``An efficient fast stereo echo canceler by pairwise optimal weight realization technique," in Proceedings of 13th EUSIPCO (European Signal Processing Conference), ThuAmPO2 (Topics in Audio Processing), Antalya: Turkey, Sept. 2005.

    105. Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada, ``Efficient adaptive blind MAI suppression in DS/CDMA by embedded constraint parallel projection techniques," in Proceedings of 30th IEEE ICASSP (International Conference on Acoustic, Speech and Signal Processing), pp.929--932, Philadelphia: PA, Mar. 2005.

    106. Konstantinos Slavakis, Isao Yamada, Nobuhiko Ogura, and Masahiro Yukawa, ``Adaptive projected subgradient method and set theoretic adaptive filtering with multiple convex constraints," in Proceedings of 38th Annual Asilomar Conference on Signals, Systems, and Computers, pp.960--964, Nov. 2004.

    107. Masahiro Yukawa and Isao Yamada, ``Acceleration of adaptive parallel projection algorithms by pairwise optimal weight realization," in Proceedings of 12th EUSIPCO (European Signal Processing Conference), pp.713--716, Vienna: Austria, Sept. 2004.

    108. Isao Yamada, Nobuhiko Ogura, and Masahiro Yukawa, ``Adaptive projected subgradient method and its acceleration techniques," in Proceedings of IFAC (International Federation of Automatic Control) Workshop on ALCOSP (Adaptation and Learning in Control and Signal Processing), TP4_A-1, pp.639--644, Yokohama: Japan, Aug. 2004 (INVITED paper).

    109. Masahiro Yukawa and Isao Yamada, ``Adaptive parallel subgradient projection techniques with input sliding technique for stereophonic acoustic echo cancellation," in Proceedings of IWAENC (International Workshop on Acoustic Echo and Noise Control), pp.55--58, Kyoto: Japan, Sept. 2003.

    110. Isao Yamada and Masahiro Yukawa, ``An efficient robust stereophonic acoustic echo canceler based on parallel subgradient projection techniques," in Proceedings of 6th ICSP (International Conference on Signal Processing), E-8, Beijing: China, Aug. 2002.

Theses
    1. Masahiro Yukawa, ``A study of acceleration of adaptive filtering algorithm with application to stereo echo canceler", Master thesis, Tokyo Institute of Technology, Mar. 2004.

    2. Masahiro Yukawa, ``A study of efficient adaptive filtering algorithms and their applications to acoustic and communication systems", Ph.D. thesis, Tokyo Institute of Technology, Sept. 2006. [PDF]

Miscellaneous
    1. Hiroyuki Kaneko and Masahiro Yukawa, ``Normalized Least-Mean-Square Algorithms Using Minimax Concave Penalty Function," in Proceedings of IEICE SIP Symposium, pp.44-49, Zoom (fully virtual), Nov. 2021.

    2. Kyohei Suzuki and Masahiro Yukawa, ``Sparse Stable Outlier-Robust Regression Using Minimax Concave Function," in Proceedings of IEICE SIP Symposium, pp.96-101, Zoom (fully virtual), Nov. 2021.

    3. Kei komuro, Masahiro Yukawa, and Renato L.G. Cavalcante, ``Distributed Sparse Optimization: Towards Global Optimality Using Weakly Convex Regularizers," in Proceedings of IEICE SIP Symposium, pp.197-202, zoom (fully virtual) , Nov. 2021.

    4. Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez, and Antonio Ortega, ``An Efficient Approach Enhancing Interpretability in Graph Learning Based on Minimax Concave Penalty under Gaussian Markov Random Fields," in Proceedings of IEICE SIP Symposium, pp.203-208, Zoom (fully virtual), Nov. 2021.

    5. Masa-aki Takizawa and Masahiro Yukawa, An Efficient Online Learning Method Based on Self-tuned Gaussian Kernels, Technical Report of IEICE, vol.118, no.496, IEICE-SIP2018-123, pp.105-111, Iojima island, March 2019.

    6. Takehiro Kono, Masahiro Yukawa, Tomasz Piotrowski, ``Beamforming for Brain-Activity Reconstruction under Time-Correlated Interference," Technical Report of IEICE, vol.118, no.496, IEICE-SIP2018-123, pp.99-104, Ioh island, March 2019.

    7. 岩本蘭、湯川正裕、Auto-antonymの多カーネルオンライン意味変化分析, 言語処理学会第25回年次大会 (NLP2019), 名古屋大学、2019年3月.

    8. Ran Iwamoto and Masahiro Yukawa, ``Sentiment Analysis in Twitter Based on Multikernel Adaptive Filtering," in Proceedings of IEICE SIP Symposium, pp.392-397, Tokyo, Nov. 2018.

    9. Yuto Ogino and Masahiro Yukawa, ``Clustering without Pre-specifying Cluster-Number Based on Sparse Eigenproblem of Graph Laplacian," in Proceedings of IEICE SIP Symposium, pp.386-391, Tokyo, Nov. 2018.

    10. 村松正吾, 安田浩保, 早坂圭司, 大竹雄, 小野峻佑, 湯川正裕, ``畳込みスパース符号化を利用した拡張動的モード分解," 第33回 信号処理シンポジウム, pp.164-169, 東京電機大学, 2018年11月.

    11. M.Yukawa and K.-R. Müller, ``On Contributions of Principal Eigenfunctions of Covariance Operator of Kernel Feature Vectors to Relevant Information in Nonlinear Regression," Technical Report of IEICE, vol.117, no.98, SIP2017-40, pp.81--85, June 2017.

    12. Masahiro Yukawa, ``多カーネル適応フィルタの基礎と最近の展開," Technical Report of IEICE, vol.116, no.477, SP2016-108, pp.177-182, Naha, March 2017 (INVITED TALK).

    13. Kwangjin Jeong, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada, ``A Simple Self-Tuning Technique for Adaptive Proximal Forward-Backward Splitting Method," Technical Report of IEICE, SIP-, vol., no., pp.-, Naha, March 2017.

    14. 鏡英章, 亀岡弘和, 湯川正裕, ``I ダイバージェンス規準複素NMF," 日本音響学会講演論文集, pp.433-436, 2016年9月.

    15. Hideaki Kagami, Hirokazu Kameoka, and Masahiro Yukawa, ``An efficient implementation of time-domain spectrogram factorization using projected gradient iterates," in Proceedings of IEICE SIP Symposium, pp.-, Osaka, Nov. 2016.

    16. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada ``Shrinkage tuning based on a system-mismatch estimation for the sparsity-aware adaptive proximal forward-backward splitting,'' in Proceedings of IEICE Signal Processing Symposium, pp.439-443, Iwaki, Nov. 2015.

    17. Asahi Ushio and Masahiro Yukawa ``Multi-task Learning with Operator-valued Reproducing Kernels,'' in Proceedings of IEICE Signal Processing Symposium, pp.312-315, Iwaki, Nov. 2015.

    18. Hideaki Kagami and Masahiro Yukawa, ``Supervised Nonnegative Matrix Factorization with Itakura-Saito Divergence for Music Transcription,'' in Proceedings of IEICE Signal Processing Symposium, pp.274-278, Iwaki, Nov. 2015.

    19. Keiji Furuya, Masahiro Yukawa, Masao Yamagishi, and Isao Yamada, ``RIP conditions for exact recovery of group-sparse vectors under two sets of non-overlapping groups," Technical Report of IEICE, SIP2014-127, vol.114, no.474, pp.75-78, Ishigaki, March 2015.

    20. Masa-aki Takizawa, Masahiro Yukawa, and Cedric Richard, ``Performance analysis of the stochastic restricted gradient descent algorithm in RKHS," in Proceedings of IEICE SIP Symposium, pp.259-264, Kyoto, Nov. 2014.

    21. Osamu Toda and Masahiro Yukawa, ``Online learning with compactly supported kernel,” in Proceedings of IEICE SIP Symposium, pp.73-77, Kyoto, Nov. 2014.

    22. Seiji Inoue, Masahiro Yukawa, and Hisakazu Kikuchi, ``Nonlinear acoustic echo cancellation based on multikernel adaptive filter with linear and Gaussian kernels," in Proceedings of IEICE Spring Conference of IEICE, p.83, Niigata, Mar. 2014 (in Japanese).

    23. Masahiro Yukawa, ``Cartesian Multikernel Adaptive Filtering," Technical Report of IEICE, SIP2013-104, vol.113, no.385, pp.113-116, Fukuoka, January 2014.

    24. Jeong Kwangjin, Masahiro Yukawa, and Shun-ichi Amari, ``On Relation Between Lp-regularization (0<p<1) and Sparsest Least Squares Solution," in Proceedings of Symposium on Information Theory and Its Applications (SITA), pp.196--199, Ito, November. 2013.

    25. Masahiro Yukawa, ``Multikernel Adaptive Filtering as Subspace-Parameter Joint Estimation in Sum Space," in Proceedings of IEICE SIP Symposium, pp.394-399, Shimonoseki, Nov. 2013.

    26. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Shrinkage tuning based on an unbiased MSE estimate for the sparsity-aware adaptive proximal forward-backward splitting," in Proceedings of IEICE SIP Symposium, pp.369-372, Shimonoseki, Nov. 2013.

    27. Osamu Toda and Masahiro Yukawa, ``Adaptive Generalized Forward-Backward Splitting Method for Multikernel Adaptive Filtering," in Proceedings of IEICE SIP Symposium, pp.359-362, Shimonoseki, Nov. 2013.

    28. Yu Morikawa, Masahiro Yukawa, and Hisakazu Kikuchi, ``Supervised NMF using Structured L1 Norm with Overlapping Groups," in Proceedings of IEICE SIP Symposium, pp.166-171, Shimonoseki, Nov. 2013.

    29. Masa-aki Takizawa and Masahiro Yukawa, ``A Note on Kernel Adaptive Filtering Algorithms : RKHS Projection or Parameter-space Projection?," in Proceedings of IEICE SIP Symposium, pp.33-38, Shimonoseki, Nov. 2013.

    30. Kei Takahashi, Masahiro Yukawa, and Hisakazu Kikuchi, ``A fast KPNLMS algorithm for Toeplitz autocorrelation matrices," IEICE Shinetsu Section Conference, 2A-1, p.19, Nagaoka, October 2013 (in Japanese).

    31. Ryu-ichiro Ishii, Masahiro Yukawa, and Shigenobu Sasaki, ``On tracking input range variations in multikernel adaptive filtering," Technical Report of IEICE, SIP2013-70, vol.113, no.191, pp.23-26, Tokyo, August 2013 (in Japanese).

    32. Yu Morikawa and Masahiro Yukawa, ``Supervised NMF as a sparse optimization problem," Technical Report of IEICE, SIP2012-107, vol.112, no.425, pp.105-109, Tsuruoka, March 2013.

    33. Masahiro Yukawa and Ryu-ichiro Ishii, ``Multikernel adaptive filtering with double regularization," Technical Report of IEICE, SIP2012-105, vol.112, no.423, pp.143-146, Kure, January 2013.

    34. Masaaki Takizawa and Masahiro Yukawa, ``A Data-Reusing Kernel Adaptive Filter Based on Parallel Hyperplane Projection Along Subspace," in Proceedings of IEICE SIP Symposium, pp.506-510, Ishigaki, Nov. 2012.

    35. Kwangjin Jeong, Masahiro Yukawa, and Shun-ichi Amari, ``On Critical Paths of lp-constrained Underdetermined Least Squares Problem (0<p<1)," in Proceedings of IEICE SIP Symposium, pp.581-585, Ishigaki, Nov. 2012.

    36. Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi, ``A Variable-Metric NLMS Algorithm for Sparse Systems and Colored Inputs," in Proceedings of IEICE SIP Symposium, pp.527-530, Ishigaki, Nov. 2012.

    37. Yuta Tawara, Osamu Toda, Masahiro Yukawa, and Isao Yamada, ``Sparse system identification by adaptive proximal forward-backward splitting algorithm: approximated Lp-regularizer and variable regularization parameter," in Proceedings of IEICE SIP Symposium, pp.614-617, Ishigaki, Nov. 2012.

    38. Satoshi Kataoka, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa, and Heikki Huttunen, ``A study on color similarity between digital images," in Proceedings of IEICE SIP Symposium, pp.7-11, Ishigaki, Nov. 2012. (in Japanese)

    39. Masahiro Yukawa and Ryu-ichiro Ishii, ”A kernel adaptive filtering algorithm based on projection in RKHS,” in Proceedings of IEICE Society Conference, A-4-6, p.61, Toyama, Sept. 2012.

    40. Natsuki Aizawa, Shogo Muramatsu, Masahiro Yukawa, ``ISTA-Based Image Restoration with Multiple DirLOTs," KWS 2012, Awajishima, August 2012 (in Japanese). [Award Winning]

    41. Shun-ichi Amari and Masahiro Yukawa, ``Information geometry of sparse signal processing," JSIAM2012, Wakkanai, August-September 2012 (in Japanese).

    42. Ryu-ichiro Ishii and Masahiro Yukawa, ``A note on multi-kernel adaptive learning based on RKHS projection," Technical Report of IEICE, SIP2011-183, vol.111, no.465, pp.315-320, Niigata, March 2012 (in Japanese).

    43. Masahiro Yukawa and Shun-ichi Amari, ``Sparse Optimization Based on Lp Regularization," in Proceedings of Automatic Control Association Symposium: Organized Session on Compressed Sensing and L1-Norm Optimization, pp.625-630, Toyohashi, Nov. 2011.

    44. Masahiro Yukawa and Shun-ichi Amari, ``An Insight into Lp Penalized Least Squares Problems," in Proceedings of IEICE SIP Symposium, pp.556-561, Sapporo, Nov. 2011.

    45. Masahiro Yukawa and You Nakajima, ``Multi-Kernel Adaptive Filtering for Nonstationary Time-Series Data Prediction," in Proceedings of IEICE SIP Symposium, pp.608-613, Sapporo, Nov. 2011.

    46. Masahiro Yukawa, Yuta Tawara, Masao Yamagishi, and Isao Yamada, ``Sparse Adaptive Filters Based on Soft-Thresholding with Lp-Norm Inspired Weighting Techniques," in Proceedings of IEICE SIP Symposium, pp.659-663, Sapporo, Nov. 2011.

    47. Osamu Toda, Masahiro Yukawa, Shigenobu Sasaki, and Hisakazu Kikuchi, ``A Weight Controlling Technique for Hybrid Sparse Adaptive Filters," in Proceedings of IEICE SIP Symposium, pp.680-683, Sapporo, Nov. 2011. [Award Winning]
      (4 other papers in the symposium)

    48. Osamu Toda and Masahiro Yukawa, ``How Is Gain of Hybrid Sparse Adaptive Filtering Algorithm Affected by Input Correlation?," Technical Report of IEICE, SIP2011-61, vol.111, no.104, pp.181-186, Naha, June-July 2011.

    49. Masahiro Yukawa and Isao Yamada, ``On robustness of MIMO antenna selection scheme by minimizing smoothed l1 norm under nonlinear constraints," The 55th Annual Conference of the Institute of Systems, Control and Information Engineers (SCI'11), pp.345-346, Osaka, May 2011.

    50. Masahiro Yukawa, ``Multi-kernel NLMS algorithm with coherence criterion and its application to online prediction of time series data," Technical Report of IEICE, SIP2011-14, vol.111, no.27, pp.79-82, Osaka, May 2011.

    51. Masahiro Yukawa and Isao Yamada, ``Fast and efficient interference suppression by uniform linear array based on dual-domain adaptive filtering technique," Technical Report of IEICE, SIP2010-139, vol.110, no.439, pp.127-130, Ishigaki, March 2011.

    52. You Nakajima and Masahiro Yukawa, ``A numerical study on online regression with multiple kernels," Technical Report of IEICE, SIP2010-91, vol.110, no.368, pp.133-136, Yakushima, January 2011.

    53. Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Acceleration of adaptive proximal forward backward splitting method for sparse system identification," in Proceedings of IEICE SIP Symposium, pp.30--34, Nara, Nov. 2010.

    54. Masahiro Yukawa and Isao Yamada, ``A note on adaptive projected subgradient method under linear constraints," in Proceedings of IEICE SIP Symposium, pp.41--46, Nara, Nov. 2010.

    55. Masahiro Yukawa, ``On use of multiple kernels in adaptive learning ---Extended reproducing kernel Hilbert space with Cartesian product," in Proceedings of IEICE SIP Symposium, pp.59--64, Nara, Nov. 2010.

    56. Masahiro Yukawa and Osamu Toda, ``Blending transform-domain and proportionate adaptive filtering algorithms for sparse linear system excited by colored input," in Proceedings of IEICE SIP Symposium, pp.267--272, Nara, Nov. 2010.

    57. Shun Munekata, Hisakazu Kikuchi, Shogo Muramatsu, Masahiro Yukawa, and Heikki Huttunen, ``A reproduction model of film grain textures and its application to digital cinama," in Proceedings of IEICE SIP Symposium, pp.378--383, Nara, Nov. 2010 (in Japanese).

    58. Peter Ndajah, Masahiro Yukawa, Shogo Muramatsu, and Hisakazu Kikuchi, ``TV image denoising and noise response analysis," in Proceedings of IEICE SIP Symposium, pp.576--580, Nara, Nov. 2010.

    59. Masahiro Yukawa and Isao Yamada, ``A treatment of multiple metrics in set-theoretic adaptive filtering based on product-space formulation," Technical Report of IEICE, SIP2010-49, vol.110, no.86, pp.157-162, Kitami, June 2010.

    60. Masahiro Yukawa, ``On use of multi-metric projection in adaptive filtering," Technical Report of IEICE, SIP2009-146, vol.109, no.435, pp.137-140, Miyako Island, Mar. 2010.

    61. Masahiro Yukawa and Isao Yamada, ``A new problem formulation of MIMO antenna selection: Iterative minimization of the Moreau envelope of l1-norm under nonlinear constraints," IEICE SIP Symposium, pp.373--377, Kagoshima, Nov. 2009.

    62. Masahiro Yukawa and Isao Yamada, ``An analysis for a certain family of adaptive filtering algorithms based on variable-metric adaptive projected subgradient method," IEICE SIP Symposium, pp.314--319, Kagoshima, Nov. 2009.

    63. Yukihiro Murakami, Masao Yamagishi, Masahiro Yukawa, and Isao Yamada, ``Using time-varying soft-thresholding techniques for adaptive identification of sparse systems," IEICE SIP Symposium, pp.22--27, Kagoshima, Nov. 2009.

    64. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Multi-domain adaptive learning,'' in Proceedings of IEICE Society Conference, A-4-14, p.77, Niigata, Sept. 2009.

    65. Masahiro Yukawa, ``A natural rank-selection criterion for Krylov-subspace-based filtering techniques,'' Technical Report of IEICE, SIP2009-39, vol. 109, no. 112, pp.117--120, July 2009.

    66. Masahiro Yukawa, ``An extension of proportionate NLMS algorithm based on multistage Wiener filter representation," in Proceedings of IEICE SIP Symposium, pp.526--531, Sendai, November 2007.

    67. Masahiro Yukawa, Ken Umeno, and Gen Hori, ``Adaptive MMSE receiver aided by Lebesgue spectrum filter in asynchronous CDMA systems," in Proceedings of IEICE SIP Symposium, pp.506--511, Sendai, November 2007.

    68. Masahiro Yukawa, Gen Hori, Ken Umeno, and Isao Yamada, ``A Bridge Between Reduced-Rank Adaptive Filtering and Quadratic-Metric Projection Techniques,'' Technical Report of IEICE, NLP2007-41, vol.107, no.184, pp.29--34, August 2007.

    69. Gen Hori, Ken Umeno, Masahiro Yukawa, Ryo Takahashi, and Tomasz J. Piotrowski, ``Carrier level simulation of chaos CDMA with received signal eparation,'' Technical Report of IEICE, NLP2007-40, vol.107, no.184, pp.25--28, August 2007.

    70. Ryo Takahashi, Masahiro Yukawa, Gen Hori, and Ken Umeno, ``Performance evaluation of complete orthogonal spreading sequences generated by ICA for CDMA with RF modulation,'' Technical Report of IEICE, NLP2007-39, vol.107, no.184, pp.19--24, August 2007.

    71. Masahiro Yukawa and Isao Yamada, ``An effective acoustic echo canceling algorithm by the Adaptive Projected Subgradient Method with a special metric," Technical Report of IEICE, SIP2005-156, vol. 105, no. 633, pp.81--86, March 2006.

    72. Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada, ``Blind and nonblind DS/CDMA receivers by Adaptive Projected Subgradient Method," in Proceedings of SITA, 36. CDMA (I), vol. II, pp.685--688, Okinawa, Nov. 2005.

    73. Masahiro Yukawa and Isao Yamada, ``An embedded-constraint adaptive beamformer in the presence of spatially-correlated interferences ---Convergence speed of constrained and projected NLMS algorithms," in Proceedings of IEICE SIP Symposium, B3-2, Kouchi, Nov. 2005.

    74. Noriyuki Takahashi, Masahiro Yukawa, and Isao Yamada, ``An efficient heuristic adaptive power control for downlink transmission in infeasible scenarios," in Proceedings of IEICE SIP Symposium, A2-2, Kouchi, Nov. 2005.

    75. Masahiro Yukawa, Konstantinos Slavakis, and Isao Yamada, ``Stereo echo canceler by Adaptive Projected Subgradient Method with multiple a priori information," in Proceedings of IEICE Society Conference, A-4-10, p. 79, Sapporo, Hokkaido, Sept. 2005.

    76. Konstantinos Slavakis, Masahiro Yukawa, and Isao Yamada, ``Efficient robust adaptive beamforming by the Adaptive Projected Subgradient Method ---A set-theoretic time-varying approach over multiple a priori constraints," Technical Report of IEICE, SIP2005-52, vol. 105, no. 174, pp.13--18, July 2005.

    77. Masahiro Yukawa and Isao Yamada, ``On optimality of POWER weighting technique for adaptive filtering," Technical Report of IEICE, SIP2005-7, vol. 105, no. 29, pp.37--42, Apr. 2005.

    78. Masahiro Yukawa and Isao Yamada, ``A note on inflation parameter for adaptive parallel subgradient projection algorithms ---An optimal design in case of single projection," Technical Report of IEICE, SIP2004-104, vol. 104, no. 558, Jan. 2005.

    79. Masahiro Yukawa and Isao Yamada, ``Acceleration technique for adaptive parallel subgradient projection algorithm and its properties," in Proceedings of IEICE SIP Symposium, B1-1, Yatsugatake, Nov. 2004.

    80. Noriaki Murakoshi, Masahiro Yukawa, and Isao Yamada, ``An efficient fast stereophonic acoustic echo canceler by pairwise optimal weight realization technique," in Proceedings of IEICE SIP Symposium, B2-3, Yatsugatake, Nov. 2004.

    81. Masahiro Yukawa, Renato L. G. Cavalcante, and Isao Yamada, ``Efficient blind DS/CDMA receivers by embedded constraint adaptive parallel projection techniques," in Proceedings of IEICE SIP Symposium, C3-3, Yatsugatake, Nov. 2004.

    82. Renato L. G. Cavalcante, Masahiro Yukawa, and Isao Yamada, ``An efficient receiver for multipath BPSK-DS/CDMA systems by adaptive projected subgradient method," in Proceedings of IEICE SIP (Signal Processing) Symposium, B5-1, Yatsugatake, Nov. 2004.

    83. Masahiro Yukawa and Isao Yamada, ``An efficient speed-up weighting technique for adaptive parallel projection algorithm," in Proceedings of IEICE Spring Conference of IEICE, Tokyo, Mar. 2004.

    84. Masahiro Yukawa and Isao Yamada, ``Efficient fast adaptive stereo echo canceling schemes based on simultaneous use of multiple state data," in Proceedings of IEICE DSP Symposium, B3-5, Ise-Shima, Nov. 2003.

    85. Masahiro Yukawa and Isao Yamada ``Two-stage adaptive parallel subgradient projection techniques for multi-channel acoustic echo cancellation," IEICE Technical Meeting, Tokyo University of Agriculture and Technology, Dec. 2002.

    86. Masahiro Yukawa and Isao Yamada ``Robust 2-stage adaptive parallel subgradient projection techniques for multi-channel acoustic echo cancellation," in Proceedings of Symposium on Information Theory and Its Applications (SITA), vol. I, pp.271--274, Ikaho, Dec. 2002.

    87. Masahiro Yukawa and Isao Yamada ``An efficient robust adaptive multi-channel acoustic echo canceler based on 2-stage parallel subgradient projection techniques," in Proceedings of IEICE DSP (Digital Signal Processing) Symposium, C1-2, Hakodate, Nov. 2002.