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Shunya Nagashima
Observed name:
Nagashima, Shunya
Institution:
Keio University
Observed institution:
Keio University
ORCID:
0009-0007-9741-7628
Observed ORCID:
0009-0007-9741-7628
OpenAlex ID:
A5023168087
Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
2024
·
Kanta Kaneda
, Shunya Nagashima
, et al.
·
IEEE Robotics and Automation Letters
·
8
PDF
DM 2 RM: dual-mode multimodal ranking for target objects and receptacles based on open-vocabulary instructions
2025
·
Ryosuke Korekata
, Kanta Kaneda
, et al.
·
Advanced Robotics
·
3
A Decomposition-Based State Space Model for Multivariate Time-Series Forecasting
2026
·
Shunya Nagashima
, Shuntaro Suzuki
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
2
ECoG Dual Context Network for Brain Machine Interfaces
2025
·
Shunya Nagashima
, Kanta Kaneda
, et al.
·
IEEE Access
·
2
Penguin: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
2026
·
Shuntaro Suzuki
, Shuitsu Koyama
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
1
DM2RM: Dual-Mode Multimodal Ranking for Target Objects and Receptacles Based on Open-Vocabulary Instructions
2024
·
Korekata, Ryosuke
, Kaneda, Kanta
, et al.
·
arXiv (Cornell University)
·
1
PDF
Scale-Recursive Rectified Flows for Few-Step Precipitation Ensembles
2026
·
Nagashima, Shunya
, Bannai, Takumi
·
arXiv (Cornell University)
PDF
PoE-Fuse: Precision-Weighted Expert Fusion for Bi-Temporal Change Understanding
2026
·
Watase, Haruki
, Nagashima, Shunya
, et al.
·
arXiv (Cornell University)
PDF
FORUM: Frozen Outputs Reconciled Using Model Agreement for Visual Grounding
2026
·
Sato, Taiyo
, Sanda, Takamasa
, et al.
·
arXiv (Cornell University)
PDF
Physics-Guided Flow-Map Matching for Precipitation Nowcasting
2026
·
Nagashima, Shunya
, Bannai, Takumi
, et al.
·
arXiv (Cornell University)
PDF
Learning Where to Look: A Shared Relative-Alignment Module for Time-Series Forecasting and PPG-to-Vital-Sign Reconstruction
2026
·
Puli, Ragamayi
, Nagashima, Shunya
·
arXiv (Cornell University)
PDF
Forecast Workflow Bench: Evaluating Language-Model Decisions with Budgeted Forecast Tools
2026
·
Nagashima, Shunya
·
arXiv (Cornell University)
PDF
TERN: A Delta-rule Memory with a Seasonal Reference and Online Adaptation for Epidemic Forecasting
2026
·
Nagashima, Shunya
, Funayama, Yuta
·
arXiv (Cornell University)
PDF
Cortical-SSM: a deep state space model for motor imagery decoding from EEG signals
2026
·
Shuntaro Suzuki
, Shunya Nagashima
, et al.
·
Journal of Neural Engineering
PDF
Neural Stochastic Processes for Satellite Precipitation Refinement
2026
·
Nagashima, Shunya
, Bannai, Takumi
, et al.
·
arXiv (Cornell University)
PDF
A Decomposition-based State Space Model for Multivariate Time-Series Forecasting
2026
·
Nagashima, Shunya
, Suzuki, Shuntaro
, et al.
·
arXiv (Cornell University)
PDF
PENGUIN: General Vital Sign Reconstruction from PPG with Flow Matching State Space Model
2026
·
Suzuki, Shuntaro
, Koyama, Shuitsu
, et al.
·
arXiv (Cornell University)
PDF
FLARE-SSM: Deep State Space Models with Influence-Balanced Loss for 72-Hour Solar Flare Prediction
2025
·
Yusuke Takagi
, Shunya Nagashima
, et al.
·
Communications in computer and information science
PDF
Deep Space Weather Model: Long-Range Solar Flare Prediction from Multi-Wavelength Images
2025
·
Shunya Nagashima
, Komei Sugiura
·
IEEE/CVF International Conference on Computer Vision (ICCV)
PDF
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
2023
·
Kaneda, Kanta
, Korekata, Ryosuke
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
21
Citation count:
17
H-index:
2
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