| 2021 | ICASSP | A Convex Penalty for Block-Sparse Signals with Unknown Structures. | Hiroki Kuroda, Daichi Kitahara, Akira Hirabayashi |
| 2020 | ICASSP | Non-Griffin-Lim Type Signal Recovery from Magnitude Spectrogram. | Ryusei Nakatsu, Daichi Kitahara, Akira Hirabayashi |
| 2020 | ICASSP | Determined Source Separation Using the Sparsity of Impulse Responses. | Yuki Takahashi, Daichi Kitahara, Koichiro Matsuura, Akira Hirabayashi |
| 2019 | ICASSP | A Convex Lifting Approach to Image Phase Unwrapping. | Laurent Condat, Daichi Kitahara, Akira Hirabayashi |
| 2019 | ICASSP | One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions. | Daichi Kitahara, Laurent Condat, Akira Hirabayashi |
| 2019 | ICIP | Low-Dose CT Reconstruction with Multiclass Orthogonal Dictionaries. | Hiryu Kamoshita, Taisuke Shibata, Daichi Kitahara, Ken'ichi Fujimoto, Akira Hirabayashi |
| 2017 | ICASSP | Compressed sensing MRI using double sparsity with additional training images. | Chenmin Tang, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi |
| 2013 | ICASSP | Recovery of nonuniformdirac pulses from noisy linear measurements. | Laurent Condat, Akira Hirabayashi, Yosuke Hironaga |
| 2013 | ICASSP | Sampling and recovery of continuous sparse signals by maximum likelihood estimation. | Akira Hirabayashi, Yosuke Hironaga, Laurent Condat |
| 2012 | ICASSP | Reconstruction of the sequence of Diracs from noisy samples via maximum likelihood estimation. | Akira Hirabayashi, Takuya Iwami, Shuji Maeda, Yosuke Hironaga |
| 2012 | ICIP | Line-edge extraction based on E-spline acquisition model and a fast optimization algorithm. | Akira Hirabayashi, Pier Luigi Dragotti |
| 2010 | ICIP | E-spline sampling for precise and robust line-edge extraction. | Akira Hirabayashi, Pier Luigi Dragotti |
| 2007 | ICIP | A Compact Image Magnification Method with Preservation of Preferential Components. | Akira Hirabayashi, Laurent Condat |
| 2006 | KES | Signal Reconstruction by Projection Filter with Preservation of Preferential Components. | Akira Hirabayashi, Takeshi Naito |
| 1999 | IJCNN | What can memorization learning do? | Akira Hirabayashi, Hidemitsu Ogawa |
| 1999 | IJCNN | A class of learning for optimal generalization. | Akira Hirabayashi, Gintaras Ogawa |