Songtao Jiang

Orcid: 0009-0003-2317-4492

According to our database1, Songtao Jiang authored at least 23 papers between 2007 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
How Far Are Video Models from True Multimodal Reasoning?
CoRR, April, 2026

Learning Transferable Temporal Primitives for Video Reasoning via Synthetic Videos.
CoRR, March, 2026

CodePercept: Code-Grounded Visual STEM Perception for MLLMs.
CoRR, March, 2026

From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning.
CoRR, March, 2026

DestinyNet: A deep-learning framework for cell-fate analysis from lineage-tracing single-cell RNA sequencing data.
Patterns, 2026

Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Hulu-Med: A Transparent Generalist Model towards Holistic Medical Vision-Language Understanding.
CoRR, October, 2025

CAPO: Reinforcing Consistent Reasoning in Medical Decision-Making.
CoRR, June, 2025

OmniV-Med: Scaling Medical Vision-Language Model for Universal Visual Understanding.
CoRR, April, 2025

Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Fair Text-Attributed Graph Representation Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Syndrome-Molecule Graph Attention Networks (S-MoleGAT): Towards Interpretable TCM Prescription Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Med-GLIP: Advancing Medical Language-Image Pre-Training with Large-Scale Grounded Dataset.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Fast or Slow? Integrating Fast Intuition and Deliberate Thinking for Enhancing Visual Question Answering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024
The Effect of AI-Enabled Credit Scoring on Financial Inclusion: Evidence from an Underserved Population of over One Million.
MIS Q., 2024

Modality-Fair Preference Optimization for Trustworthy MLLM Alignment.
CoRR, 2024

MoE-TinyMed: Mixture of Experts for Tiny Medical Large Vision-Language Models.
CoRR, 2024

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.
CoRR, 2024

Med-MoE: Mixture of Domain-Specific Experts for Lightweight Medical Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2007
Cost modeling of spatial operators using non-parametric regression.
Inf. Sci., 2007


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