Welcome to my academic homepage. I am Yunlong Lin, a Master student at Xiamen University (XMU) @SmartDSP advised by Prof. Xinghao Ding. My research focuses on advancing computational photography for visual enhancement and scene reconstruction, developing multimodal learning frameworks for cross-modal understanding, contextual reasoning, and adaptive skill acquisition, and building intelligent agents capable of perception, decision-making, and autonomous action. Key research areas and methodologies include:

• Multimodal learning: Vision and language, Visual reasoning, Generalist models
• Inverse Problems: Real-world degradation restoration, Generative priors
• AI Agents: Planning and Decision-Making, Reinforcement learning

I am actively seeking collaborations and currently looking for PhD positions! If you are interested in working together or have potential PhD opportunities, please feel free to reach out to me. I am eager to join teams or labs that value innovation in AI-driven perception, cross-modal learning, and AI agent systems.

🔥 News

• Three papers accepted by CVPR’25!
• Four papers accepted by AAAI’25 (2 oral)!
• One paper accepted by ECCV’24!
• Two paper accepted by TGRS’25!
• Two paper accepted by TCSVT’24!
• Two paper accepted by TGRS’24!
• Three papers accepted by ACMMM’23 (1 oral)!

📝 Publications

CVPR 2025

JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration

Yunlong Lin*, Zixu Lin*, Haoyu Chen*, Panwang Pan*, Chenxin Li, Sixiang Chen, Kairun Wen, Yeying Jin, Wenbo Li, Xinghao Ding

PDF | Project

AAAI 2025

AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement

Yunlong Lin*, Tian Ye*, Sixiang Chen*, Zhenqi Fu, Yingying Wang, Wenhao Chai, Zhaohu Xing, Lei Zhu, Xinghao Ding

PDF | Project

AAAI 2025

Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors

Yunlong Lin*, Zhenqi Fu*, Kairun Wen, Tian Ye, Sixiang Chen, Ge Meng, Yingying Wang, Yue Huang, Xiaotong Tu, Xinghao Ding

PDF | Project

• SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization. CVPR 2025.
  [paper] [code]
  Jianyu Lai, Sixiang Chen, Yunlong Lin, Tian Ye, Yun Liu, Song Fei, Zhaohu Xing, Hongtao Wu, Weiming Wang, Lei Zhu.
• Track Any Anomalous Object:A Granular Video Anomaly Detection Pipeline. CVPR 2025.
  [paper] [code]
  Yuzhi Huang, Chenxin Li, Haitao Zhang, Zixu Lin, Yunlong Lin, Hengyu Liu, Wuyang Li, Xinyu Liu, Jiechao Gao, Yue Huang, Xinghao Ding, Yixuan Yuan.
• Sp3ctralMamba: Physics-Driven Joint State Space Model for Hyperspectral Image Reconstruction. AAAI 2025 Oral.
  [paper] [code]
  Ge Meng, Jingyan Tu, Jingjia Huang, Yunlong Lin, Yingying Wang, Xiaotong Tu, Yue Huang, Xinghao Ding
• Accelerated Diffusion via High-Low Frequency Decomposition for Pan-sharpening. AAAI 2025 Oral.
  [paper] [code]
  Ge Meng, Jingjia Huang, Jingyan Tu, Yingying Wang, Yunlong Lin, Xiaotong Tu, Yue Huang, Xinghao Ding
• Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint. ECCV 2024.
  [paper] [code]
  Sixiang Chen, Tian Ye, Kai Zhang, Zhaohu Xing, Yunlong Lin, Lei Zhu
• Fusion2Void: Unsupervised Multi-focus Image Fusion Based on Image Inpainting. TCSVT 2024.
  [paper] [code]
  Huangxing Lin, Yunlong Lin, Jingyuan Xia, Linyu Fan, Feifei Li, Yingying Wang, Xinghao Ding
• Frequency decoupled domain-irrelevant feature learning for Pan-sharpening. TCSVT 2024.
  [paper] [code]
  Jie Zhang, Ke Cao, Keyu Yan, Yunlong Lin, Xuanhua He, Yingying Wang, Rui Li, Chengjun Xie, Jun Zhang, Man Zhou
• Cross-Modality Interaction Network for Pan-sharpening. TGRS 2024.
  [paper] [code]
  Yingying Wang, Xuanhua He, Yuhang Dong, Yunlong Lin, Yue Huang, Xinghao Ding
• Domain-irrelevant Feature Learning for Generalizable Pan-sharpening. ACMMM 2023.
  [paper] [code]
  Yunlong Lin, Zhenqi Fu, Ge Meng, Yingying Wang, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding
• Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. ACMMM 2023 Oral.
  [paper] [code]
  Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang
• CPLFormer: Cross-scale Prototype Learning Transformer for Image Snow Removal. ACMMM 2023.
  [paper] [code]
  Sixiang Chen, Tian Ye, Yun Liu, Jinbin Bai, Haoyu Chen, Yunlong Lin, Jun Shi, Erkang Chen

🎖 Honors and Awards

• National Scholarship in Xiamen University, 2024
• Outstanding Graduate in Jimei University, 2023
• Second Price of Mathematical Contest In Modeling, 2021
• First Price of Mathorcup Mathematical Contest in Modeling, 2021
• First Price of Mathorcup Mathematical Contest in Modeling, 2022

📖 Educations

• Sep’2023-Jul’2026: Master Student, Xiamen University
• Sep’2019-Jul’2023: B.Eng (Telecommunication Engineering), Jimei University, Xiamen

💬 Academic Service

• Conference Reviewer: ACMMM‘24/25, NeurIPS’24/25, ICLR‘25, CVPR’25, ICCV‘25, ICML 2025.