Hiroyasu Yasuda

According to our database, Hiroyasu Yasuda authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Directed Graph Dynamic Mode Decomposition for Nonlinear State-Space Modeling.

Hiromu Kanauchi, Ryuto Ito, Hiroyasu Yasuda, Masaaki Nagahara, Yuichi Tanaka, Shogo Muramatsu

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Sparse-Coded Time-Delay DMD with Control for Nonlinear State-Space Modeling on Graphs.

Ryuto Ito, Hiromu Kanauchi, Hiroyasu Yasuda, Masaaki Nagahara, Shogo Muramatsu

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

Riverbed Estimation Using Locally-Structured Unitary Network.

Seiyu Hitomi, Hiroyasu Yasuda, Kiyoshi Hayasaka, Shogo Muramatsu

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2025

2023

Realization of Digraph Filters Via Augmented GFT.

Hotaka Kitamura, Hiroyasu Yasuda, Yuichi Tanaka, Shogo Muramatsu

Proceedings of the IEEE International Conference on Image Processing, 2023

Multi-Resolution Convolutional Dictionary Learning for Riverbed Dynamics Modeling.

E. Kobayashi, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake, Shunsuke Ono, Shogo Muramatsu

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Flow-Path Fitting from Images with Fourier Basis for River Health Assessment.

Yuki Takahashi, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Data underlying the publication: Capture method for digital twin of formation processes of sand bars.

Daichi Moteki, Takenori Murai, Hiroyasu Yasuda, Shogo Muramatu, Kiyoshi Hayasaka, Tsuyoshi Hoshino

Dataset, 2021

Sparse-Coded Dynamic Mode Decomposition on Graph for Prediction of River Water Level Distribution.

Yusuke Arai, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka, Yu Otake

Proceedings of the IEEE International Conference on Acoustics, 2021

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Graph Learning & Fast Transform Coding of 3D River Data.

Weihang Liao, Gene Cheung, Shogo Muramatsu, Hiroyasu Yasuda, Kiyoshi Hayasaka

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018