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
• Spatial Intelligence: 3D Environment Perception, LLM-based Spatial Reasoning, Agent-driven Decision-making and Action

I am actively seeking collaborations and currently looking for 26 fall 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.

📱 Contact

• WeChat: lyl20136148
• Email: linyl@stu.xmu.edu.cn

🔥 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

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

CVPR 2025

SnowMaster: Comprehensive Real-world Image Desnowing via MLLM with Multi-Model Feedback Optimization

Jianyu Lai*, Sixiang Chen*, Yunlong Lin, Tian Ye, Yun Liu, Song Fei, Zhaohu Xing, Hongtao Wu, Weiming Wang, Lei Zhu.

PDF | Project

• 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 2024/2025, NeurIPS 2024/2025, ICLR 2025, CVPR 2025, ICCV 2025, ICML 2025.