Publications

You can also find the articles on my Google Scholar profile. See also T2R2.

Journal Articles

1. Linearly-Involved Moreau-Enhanced-Over-Subspace Model: Debiased Sparse Modeling and Stable Outlier-Robust Regression
   Masahiro Yukawa, Hiroyuki Kaneko, Kyohei Suzuki, and Isao Yamada
   IEEE Trans. Signal Processing, vol. 71, pp. 1232–1247, 2023
   

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

3. Robust Recovery of Jointly-Sparse Signals Using Minimax Concave Loss Function
   Kyohei Suzuki and Masahiro Yukawa
   IEEE Trans. Signal Processing, vol. 69, pp. 669–681, 2021 (Publication: December 2020)
   

Peer-Reviewed Conference Proceedings

1. External Division of Two Proximity Operators: An Application to Signal Recovery with Structured Sparsity
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, pp. 9471-9475, April 2024
   

2. Stable Robust Regression under Sparse Outlier and Gaussian Noise
   Masahiro Yukawa, Kyohei Suzuki, Isao Yamada
   in Proc. European Signal Processing Conference (EUSIPCO), pp. 2236–2240, August–September 2022
   

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

4. On Grouping Effect of Sparse Stable Outlier-Robust Regression
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 6 pages, August 2022
   

5. Robust Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. European Signal Processing Conference (EUSIPCO), pp. 2070–2074, January 2021
   

Non-Peer-Reviewed Articles

1. Bias Reduction for Feature Grouping Based on a Limit of Moreau-Enhanced OSCAR Regularizer
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEICE Signal Processing Symposium, 6 pages, Sapporo, Japan, Dec. 2024
   
2. Sparse Signal Recovery Based on Continuous Relaxation of Reversely Ordered Weighted \ell_1 Shrinkage Operator
   Taiki Okuda, Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEICE Signal Processing Symposium, 6 pages, Sapporo, Japan, Dec. 2024
   
3. Debiased Estimation of Signals with Structured Sparsity Based on External Division of Two Proximity Operators
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEICE Signal Processing Symposium, 6 pages, Kyoto, Japan, Nov. 2023
   
4. Multiscale Manifold Clustering and Embedding with Multiple Kernels
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. Technical Report of IEICE, vol. 122, no. 388, SIP2022-167, pp. 276–281, Okinawa, Japan, Mar. 2023
   
5. Sparse Stable Outlier-Robust Regression Using Minimax Concave Function
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. IEICE Signal Processing Symposium, pp. 96–101, Zoom (fully virtual), Nov. 2021
   
6. A Robust Approach to Jointly-Sparse Signal Recovery Based on Minimax Concave Loss Function
   Kyohei Suzuki and Masahiro Yukawa
   in Proc. Technical Report of IEICE, vol. 119, no. 440, SIP2019-124, pp. 123–128, Okinawa, Japan (Conference cancelled), Mar. 2020
   

Doctoral Dissertation

A study of robust debiasing methods for sparse modeling: Moreau enhancement and beyond
Kyohei Suzuki
Keio University, Sept. 2024