I am a master’s student at Keio University in Japan, advised by Prof. Komei Sugiura. I received my bachelor’s degree in Information and Computer Science from Keio University. My research interests include brain–computer interfaces and representation learning for physiological and neural signals.

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning

ICPR 2026

ABMAMBA: Multimodal Large Language Model with Aligned Hierarchical Bidirectional Scan for Efficient Video Captioning

Daichi Yashima, Shuhei Kurita, Yusuke Oda, Shuntaro Suzuki, Seitaro Otsuki, Komei Sugiura

PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model

ICASSP 2026

PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model

Shuntaro Suzuki, Shuitsu Koyama, Shinnosuke Hirano, Shunya Nagashima

A Decomposition-based State Space Model for Multivariate Time-Series Forecasting

ICASSP 2026

A Decomposition-based State Space Model for Multivariate Time-Series Forecasting

Shunya Nagashima, Shuntaro Suzuki, Shuitsu Koyama, Shinnosuke Hirano

Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model

ICASSP 2026

Condition-Invariant fMRI Decoding of Speech Intelligibility with Deep State Space Model

Ching-Chih Sung*, Shuntaro Suzuki*, Francis Pingfan Chien*, Komei Sugiura, Yu Tsao (*Equal contribution)

Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding

Preprint 2025

Cortical-SSM: A Deep State Space Model for EEG and ECoG Motor Imagery Decoding

Shuntaro Suzuki, Shunya Nagashima, Masayuki Hirata, Komei Sugiura

Pretraining alpha rhythm enhancement by neurofeedback facilitates short-term perceptual learning and improves visual acuity by facilitated consolidation

Frontiers in Neuroergonomics 2024

Pretraining alpha rhythm enhancement by neurofeedback facilitates short-term perceptual learning and improves visual acuity by facilitated consolidation

Ming Chang, Shuntaro Suzuki, Takahiro Kurose, Takuya Ibaraki