👋 Hi there! I am Zaiyan Zhang (张再筵), currently pursuing an M.E. degree in Photogrammetry and Remote Sensing (摄影测量与遥感) at Wuhan University (武汉大学) under the direction of Prof. Qiangqiang Yuan, Jie Li and Liangpei Zhang. Prior to this, I obtained a B.E. degree in Data Science and Big Data Technology (数据科学与大数据技术) at China University of Geosciences (中国地质大学) in 2025 
🔬 My research focuses on Computer Vision in Remote Sensing:
- Low-level Vision in Remote Sensing: Cloud Removal, Dehazing, Deblurring, All-in-One Image Restoration.
- Remote Sensing Foundation Models: Multimodal Foundation Models, Low-level and High-level Task Collaboration.
- Representation Learning: Contrastive Learning, Domain Adaptation, Knowledge Distillation.
🤝 I welcome collaboration and networking opportunities. Feel free to contact me via email {1@zzaiyan.com, zzaiyan@whu.edu.cn}!
👋 大家好！我是张再筵，目前在武汉大学攻读摄影测量与遥感专业硕士学位，导师为袁强强、李杰与张良培教授。此前，我于2025年在中国地质大学（武汉）获得数据科学与大数据技术专业学士学位
🔬 我的研究聚焦于遥感中的计算机视觉：
- 遥感底层视觉：去云、去雾、去模糊、通用图像复原。
- 遥感基础模型：多模态基础模型、底层与高层任务协同。
- 表征学习：对比学习、域适应、知识蒸馏。
🤝 欢迎合作与交流！您可以通过邮箱 {1@zzaiyan.com, zzaiyan@whu.edu.cn} 联系我。
🔥 News🔥 新闻动态
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2025.09: I began my Master’s degree studies at Wuhan University.我开始在武汉大学攻读硕士学位。
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2025.05: 🎉🎉 Our work “Multiscale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network” was accepted by IEEE Transactions on Geoscience and Remote Sensing (TGRS).我们的工作 “Multiscale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network” 被 IEEE Transactions on Geoscience and Remote Sensing (TGRS) 录用。
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2024.06: 🎉🎉 Our work “Image-text mutual retrieval method based on large-scale pre-training CLIP model fine-tuning” won the Grand Prize (Top 0.1%) and 20,000 RMB cash in the 12th “Teddy Cup” Data Mining Challenge [link].我们的作品 “基于大规模预训练CLIP模型微调的图文互检方法” 在第12届“泰迪杯”数据挖掘挑战赛中获得特等奖 (Top 0.1%) 及 2万元奖金 [link]。
📝 Publications📝 论文发表
Journal Papers期刊论文
Zaiyan Zhang, Jining Yan, Yuanqi Liang, Jiaxin Feng, Haixu He, Li Cao
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025
中科院一区 Top, IF=8.6 | Multi-Temporal Image Inpainting
Conference Papers会议论文
Task-Driven Prompt Learning: A Joint Framework for Multi-modal Cloud Removal and Segmentation
Zaiyan Zhang, Jie Li, Shaowei Shi, Qiangqiang Yuan
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2026
Optical-SAR Fusion, Cloud Removal, Segmentation
Patents专利
- 2025.02, ZL202410556414.6, 遥感图像序列的修复方法、装置、电子设备及存储介质, 阎继宁, 张再筵, 王力哲, 李军, 韩伟, 王玥玮.
📖 Education📖 教育经历
Master in Photogrammetry and Remote Sensing硕士，摄影测量与遥感, 2025.09 - Present
Advisors: Prof. Qiangqiang Yuan, Jie Li and Liangpei Zhang导师: 袁强强、李杰与张良培教授
China University of Geosciences | 中国地质大学
Bachelor in Data Science and Big Data Technology学士，数据科学与大数据技术, 2021.09 - 2025.06
Advisors: A.P. Jining Yan导师: 阎继宁 副教授
🏅 Honors and Awards🏅 荣誉奖项
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2025, Outstanding Undergraduate Graduate | 优秀本科毕业生.
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2024, National Encouragement Scholarship | 国家励志奖学金.
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2023, National Scholarship | 国家奖学金.
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2023, Huawei Scholarship - Rising Star | 华为奖学金 - 未来之星 [link].
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2023, Chow Tai Fook Scholarship | 周大福奖学金.
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2022, 2023, 2024, Outstanding Student Model | 优秀学生标兵.
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2022, Outstanding Student Scholarship | 英才奖学金.
🔍 Services🔍 学术服务
- Program Committee of AAAI Conference on Artificial Intelligence.
- AAAI 人工智能大会 程序委员会 成员。
📚 Misc📚 其他
Click to expand点击展开
Open Source Tools开源工具
Perhaps your research field differs from mine, but may the open-source tools I’ve developed prove useful to your studies:
也许你的研究领域与我不同，但希望我开发的这些开源工具能对你的研究有所帮助：
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TorchHook - 管理 PyTorch 钩子函数: Repo Tutorial 教程
A PyTorch hooks manager, providing convenient interfaces to capture feature maps and debug models.一个 PyTorch 钩子管理器，提供便捷的接口来捕获特征图和调试模型。
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AnyCapture - 提取任意局部变量: Repo 教程
A tool to capture local variables from any function, especially useful for visualizing attention maps in deep learning models.一个从任意函数中提取局部变量的工具，特别适用于深度学习模型中注意力图的可视化。
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A simple network clipboard application. Perfect for quickly sharing text between different devices.一个简洁的网络剪贴板应用，适合在不同设备间快速分享文本。
Feel free to visit my GitHub for more interesting projects.欢迎访问我的 GitHub 查看更多有趣的项目。