Xinyu Yan


I am a Master's student in Artificial Intelligence at Beijing Institute of Technology. I earned my Bachelor's degree in Intelligent Unmanned Systems Technology from Beijing Institute of Technology, during which I received multiple Academic Scholarships and the Aviation Industry Scholarship.

My research field mainly focuses on large language models and reinforcement learning, while also covering low-level vision tasks such as denoising, super-resolution, and cloud removal, as well as vision tasks like hyperspectral and small target detection. Additionally, I have a strong interest in conditional diffusion models, data cleaning and synthesis, full-stack web development, and hardware and embedded development. I am committed to integrating multi-domain technologies to promote the application of artificial intelligence in more practical scenarios.


Email  /  Google Scholar  /  GitHub

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Publications

Inf-Dehaze: Beyond GPU Memory Constraints for Ultra-High-Resolution Image Dehazing
Xinyu Yan, Jiuchen Chen, Qizhi Xu,
CVPR 2026 findings
Mitigating Texture Bias: A Remote Sensing Super-Resolution Method Focusing on High-Frequency Texture Reconstruction
Xinyu Yan, Jiuchen Chen, Qizhi Xu, Wei Li
TGRS 2025
Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
Jiuchen Chen, Xinyu Yan, Qizhi Xu, Kaiqi Li
CVPR 2025
MRF-Net: An Infrared Remote Sensing Image Thin Cloud Removal Method With the Intra-Inter Coherent Constraint
Qizhi Xu, Jiuchen Chen, Xinyu Yan, Wei Li
TGRS 2024
Activity

I participated in an academic forum organized by Beijing Institute of Technology and received the Outstanding Academic Award for Undergraduates.

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