Shuntaro Suzuki

Shuntaro Suzuki

Master's Student
Keio University, Japan

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I am a master’s student at Keio University, Japan, advised by Prof. Komei Sugiura. I received my bachelor’s degree in Information and Computer Science from Keio University. My research interest lie in representation learning and foundation models for neural signals, with the goal of decoding the human cognitive processes and advancing brain–computer interfaces.

ELSA: Acoustic Event-Level Semantic Alignment for Fine-Grained Reference-Free Text-to-Audio Evaluation

INTERSPEECH 2026

ELSA: Acoustic Event-Level Semantic Alignment for Fine-Grained Reference-Free Text-to-Audio Evaluation

Shuntaro Suzuki*, Kento Tokura*, Daichi Yashima*, Kanon Amemiya*, Komei Sugiura, Shinnosuke Takamichi (*Equal contribution)

Paper|Code|Project Page
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

Paper
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

Paper|Code
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

Paper|Code
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)

Paper
Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals

Journal of Neural Engineering 2026

Cortical-SSM: A Deep State Space Model for Motor Imagery Decoding from EEG Signals

Shuntaro Suzuki, Shunya Nagashima, Komei Sugiura

Paper
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

Paper