Ritsumeikan University Researcher Database
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（Last updated : 2026-07-06 16:22:51）
SONG YU
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kenkyukodoka
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Academic background
1.
2021/04/01～2024/03/31
Doctoral Program (2nd Semester) │ Information Science and Engineering │ Graduate School of Information Science and Engineering │ Ritsumeikan University │ Completed (Intelligent informatics)
Business career
1.
2024/04/01 ～
Assistant Professor │ College of Information Science and Engineering │ Ritsumeikan University
2.
2020/10/01 ～ 2021/03/31
Visiting Researcher │ │ Ritsumeikan University
Subject of research
1.
Deep Learning
2.
Multi-modal AI
Papers
1.
2026/07
Multimodal Infusion Tuning for Large Models │ ACM Transactions on Multimedia Computing, Communications, and Applications │
2.
2026/03
One framework to rule them all: Unifying multimodal tasks with LLM neural-tuning │ Pattern Recognition │ 171 (B)
3.
2025/10/06
Accurate Tracking of Arabidopsis Root Cortex Cell Nuclei in 3D Time-Lapse Microscopy Images Based on Genetic Algorithm │ IEEE/ACM Transactions on Computational Biology and Bioinformatics │
Academic conference presentation
1.
2026/09
CT2-DiT: Enabling Abdominal Non-Contrast to Contrast-Enhanced CT Translation with Diffusion Transformers in the Low-Data Regime
2.
2026/09
SAM+D: Parameter-Efficient Dimensional Lifting of SAM-Family Models via Depth-Routed LoRA and Depth Shifting
3.
2026/07
Improving scDiffusion with Sparsity-Biased Classifier-Free Guidance
4.
2026/07
MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents
5.
2025/11
Efficient Medical Image Segmentation with Rectified Flow-Based Diffusion Transformer
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E-Mail Address
External Researcher ID
ORCID ID
0000-0002-4660-5430
Researcher ID