Special Issues
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Diffusion Model and Large Language Models Based on Reinforcement Learning with Computer Vision

Submission Deadline: 30 September 2025 View: 149 Submit to Special Issue

Guest Editors

Prof. Yi-Zeng Hsieh

Email: yzhsieh@mail.ntust.edu.tw

Affiliation: Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei City 106335, Taiwan

Homepage:

Research Interests: Deep Learning, Computer Vision, Pattern Recognition

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Prof. De-Yuan Huang

Email: dyhuang@gm.ttu.edu.tw

Affiliation: Department of Computer Science and Engineering, Tatung University, Taipei City 104, Taiwan

Homepage:

Research Interests: Human-Computer Interaction, machine learning, AIoT

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Summary

Recent advancements in artificial intelligence have demonstrated the powerful synergy between diffusion models, large language models (LLMs), and reinforcement learning (RL), particularly in the domain of computer vision. This special issue aims to explore cutting-edge research that integrates these methodologies to enhance generative modeling, autonomous decision-making, and vision-based understanding. Topics of interest include but are not limited to diffusion-based image synthesis, RL-driven optimization of vision-language models, multi-modal learning, and applications in medical imaging, autonomous systems, and industrial automation. We welcome original contributions that push the boundaries of AI-driven computer vision through innovative model architectures, learning paradigms, and real-world applications.


Keywords

Diffusion Models, Large Language Models (LLMs), Reinforcement Learning (RL), Computer Vision, Generative AI, Multi-modal Learning, Vision-Language Models, Autonomous Systems, Image Synthesis, Deep Learning Applications

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