| 2025 | ACIVS | Keypoint-Integrated Instruction-Following Data Generation for Enhanced Human Pose and Action Understanding in Multimodal Models. | Dewen Zhang, Wangpeng An, Hayaru Shouno |
| 2025 | SoMeT | Data Hiding for Clinical Information in DICOM Images via Reversible Halftone Fragile Watermarking. | Juan Eduardo Mosco-Garcia, Manuel Cedillo-Hernandez, Hayaru Shouno |
| 2024 | IJCNN | Model-Based Counterfactual Explanations Incorporating Feature Space Attributes for Tabular Data. | Yuta Sumiya, Hayaru Shouno |
| 2022 | ICONIP | Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs. | Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno |
| 2021 | AAAI | Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. | Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino |
| 2021 | ICIP | Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. | Satoshi Suzuki, Shoichiro Takeda, Ryuichi Tanida, Hideaki Kimata, Hayaru Shouno |
| 2021 | ICONIP | Measuring Shift-Invariance of Convolutional Neural Network with a Probability-Incorporated Metric. | Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno |
| 2020 | ICONIP | Analysis of Texture Representation in Convolution Neural Network Using Wavelet Based Joint Statistics. | Yusuke Hamano, Hayaru Shouno |
| 2019 | ICONIP | B-DCGAN: Evaluation of Binarized DCGAN for FPGA. | Hideo Terada, Hayaru Shouno |
| 2018 | SoMeT | Deep Learning Employed in the Recognition of the Vector that Spreads Dengue, Chikungunya and Zika Viruses. | Antonio Arista-Jalife, Alejandra Sanchez, Mariko Nakano, Henrik Tnnermann, Hctor Prez-Meana, Hayaru Shouno |
| 2017 | IJCNN | A study on visual interpretation of network in network. | Satoshi Suzuki, Hayaru Shouno |
| 2016 | ICANN | Analysis of Dropout Learning Regarded as Ensemble Learning. | Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno |
| 2016 | ICONIP | Group Dropout Inspired by Ensemble Learning. | Kazuyuki Hara, Daisuke Saitoh, Takumi Kondou, Satoshi Suzuki, Hayaru Shouno |
| 2016 | ICONIP | An Architecture Design Method of Deep Convolutional Neural Network. | Satoshi Suzuki, Hayaru Shouno |
| 2015 | ICONIP | A Transfer Learning Method with Deep Convolutional Neural Network for Diffuse Lung Disease Classification. | Hayaru Shouno, Satoshi Suzuki, Shoji Kido |
| 2015 | IJCNN | Deep convolutional network neocognitron: Improved Interpolating-Vector. | Kunihiko Fukushima, Hayaru Shouno |
| 2015 | IJCNN | Analysis of function of rectified linear unit used in deep learning. | Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno |
| 2014 | AISTATS | Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations. | Hiroaki Sasaki, Michael Gutmann, Hayaru Shouno, Aapo Hyvrinen |
| 2010 | MICCAI | A Hyper-parameter Inference for Radon Transformed Image Reconstruction Using Bayesian Inference. | Hayaru Shouno, Masato Okada |
| 2010 | PDPTA | Classification of Idiopathic Interstitial Pneumonia on High-resolution CT Images using Counter-propagation Network. | Yuki Tanaka, Hayaru Shouno, Shoji Kido |
| 2009 | ICONIP | A Next Generation Modeling Environment PLATO: Platform for Collaborative Brain System Modeling. | Shiro Usui, Keiichiro Inagaki, Takayuki Kannon, Yoshimi Kamiyama, Shunji Satoh, Nilton Liuji Kamiji, Yutaka Hirata, Akito Ishihara, Hayaru Shouno |
| 2007 | ICONIP | Recent Studies Around the Neocognitron. | Hayaru Shouno |
| 2007 | PDPTA | Analysis of Idiopathic interstitial Pneumonia by Self Organization Map on High-Resolution Computed Tomography Images. | Yoshiharu Goto, Hayaru Shouno, Shoji Kido |
| 2006 | PDPTA | Discrimination of Lung Sounds Using a Statistics of Waveform Intervals. | Taketoshi Orihashi, Hayaru Shouno, Shoji Kido |
| 2002 | PDPTA | Parallelization of Seismic Wave Calculation by Impulse Response Functions. | Kyoko Fukuda, Toshihiko Hayakawa, Hayaru Shouno, Kazuki Joe |
| 2002 | PDPTA | The Design and Implementation of Unimodular Transformations for the Parallelizing Compiler PROMIS. | Hisako Ishiuchi, Tomomi Yamaguchi, Hayaru Shouno, Kazuki Joe |
| 2002 | PDPTA | Classification of Visualized Data Dependence. | Asami Iwasaka, Tomomi Yamaguchi, Hayaru Shouno, Mariko Sasakura, Kazuki Joe |
| 2002 | PDPTA | Analysis of Bidirectional Associative Memory Using SCSNA and Statistical Neurodynamics. | Hayaru Shouno, Masato Okada |
| 2002 | PDPTA | An Improvement of Program Partitioning Based Genetic Algorithm. | Masami Takata, Hayaru Shouno, Kazuki Joe |