Yongchuan Cui

Yongchuan Cui 崔永川

Remote Sensing · Computer Vision · AI4EO · Foundation Models 遥感 · 计算机视觉 · AI4EO · 基础模型

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About Me 关于我

Hi there, I am Yongchuan Cui! Currently, I am pursuing a master's degree at University of Chinese Academy of Sciences and Aerospace Information Research Institute, Chinese Academy of Sciences. Prior to this, I earned my bachelor's degree from School of Computer Science, China University of Geosciences, where I laid the foundation for my academic journey. I am now heading to the University of Hong Kong to pursue a PhD degree.

My research interests span across computer vision, remote sensing image processing, AI4EO, etc. I am passionate about exploring innovative solutions to complex problems and collaborating with like-minded researchers. Feel free to reach out!

你好，我是崔永川！目前，我在中国科学院大学与中国科学院空天信息创新研究院攻读硕士学位。在此之前，我在中国地质大学（武汉）计算机学院取得了学士学位。我即将前往香港大学攻读博士学位。

我的研究兴趣涵盖计算机视觉、遥感图像处理、AI4EO等领域。我热衷于探索复杂问题的创新解决方案，并与志同道合的研究者合作。欢迎联系我！

News 新闻动态

  • 2025.11One paper accepted to IEEE TGRS, 2025.一篇论文被 IEEE TGRS 接收，2025。
  • 2025.11Obtained China National Scholarship, 2025 (Top 0.2%).获得2025年国家奖学金（Top 0.2%）。
  • 2025.09One paper accepted to Information Fusion, 2026.一篇论文被 Information Fusion 接收，2026。
  • 2025.06One paper accepted to ICCV 2025.一篇论文被 ICCV 2025 接收。
  • 2025.05Received Outstanding Graduate Student Scholarship (13 recipients), Spring 2025.获得2025年春季优秀研究生奖学金（共13人）。
  • 2025.03Two papers accepted by IEEE IGARSS 2025.两篇论文被 IEEE IGARSS 2025 接收。
  • 2025.01One paper accepted by IEEE IoTJ.一篇论文被 IEEE IoTJ 接收。
  • 2024.11One paper accepted by ISPRS J P&RS.一篇论文被 ISPRS J P&RS 接收。
  • 2024.11Obtained China National Scholarship, 2024 (Top 0.2%).获得2024年国家奖学金（Top 0.2%）。
  • 2024.10Third Prize, Rank 5/229, NSFC Remote Sensing Image Intelligent Processing Algorithm Contest, Cloud Removal Track.第三名，排名 5/229，国自然遥感图像智能处理算法竞赛，去云赛道。
  • 2024.09One paper accepted by IEEE J-STARS.一篇论文被 IEEE J-STARS 接收。
  • 2024.08One paper accepted by IEEE TGRS.一篇论文被 IEEE TGRS 接收。
  • 2024.06Obtained Merit Student of UCAS.获得中国科学院大学三好学生。
  • 2023.09One paper accepted by IEEE GRSL.一篇论文被 IEEE GRSL 接收。

Education 教育经历

2023.09 – Present

M.S., University of Chinese Academy of Sciences & AIRCAS

硕士，中国科学院大学 & 空天信息创新研究院

Major: Signal and Information Processing

专业：信号与信息处理

2019.09 – 2023.06

B.E., China University of Geosciences (Wuhan)

学士，中国地质大学（武汉）

Major: Data Science and Big Data Technology

专业：数据科学与大数据技术

Publications 发表论文

*Equal contribution. †Corresponding author. *共同一作，†通讯作者。

  • Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection Yongchuan Cui, Jinhe Zhang, Zedong Yan, Peng Liu†, Weijing Song, Yi Zeng
    IEEE Transactions on Geoscience and Remote Sensing, 2025
    arXiv Code
  • Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need Yongchuan Cui, Peng Liu†, Hui Zhang
    International Conference on Computer Vision (ICCV), 2025
    Paper arXiv Code
  • Pansharpening via Predictive Filtering with Element-wise Feature Mixing Yongchuan Cui, Peng Liu†, Yan Ma, Lajiao Chen, Mengzhen Xu, Xingyan Guo
    ISPRS Journal of Photogrammetry and Remote Sensing, 2025
    Paper BibTeX Code
  • Rethinking Identity Mapping in Self-Supervised Hyperspectral Anomaly Detection: A Unified Perspective on Network Optimization Yongchuan Cui, Jinhe Zhang, Peng Liu†, Yan Ma, Yi Zeng
    IEEE IGARSS, 2025
    Code
  • Pixel-wise Ensembled Masked Autoencoder for Multispectral Pansharpening Yongchuan Cui, Peng Liu†, Yan Ma, Lajiao Chen, Mengzhen Xu, Xingyan Guo
    IEEE Transactions on Geoscience and Remote Sensing, 2024
    Paper BibTeX Code
  • Reconstruction of Large-Scale Missing Data in Remote Sensing Images Using Extend-GAN Yongchuan Cui, Peng Liu†, Bingze Song, Lingjun Zhao, Yan Ma, Lajiao Chen
    IEEE Geoscience and Remote Sensing Letters, 2024
    Paper BibTeX Code
  • A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities Enzhe Sun*, Yongchuan Cui*, Peng Liu†, Jining Yan†
    Information Fusion, 2026
    Repo Paper BibTeX
  • Enhancing GNSS Positioning in Urban Environments: A Transformer-Based NLOS Detection and Adaptive Weighting Approach Weiwei Zhai, Yongchuan Cui, Liang Wang†, Ningbo Wang, Zishen Li, Peng Liu, Hang Zhong
    IEEE Internet of Things Journal, 2025
    Paper
  • Semiblind Compressed Sensing: A Bidirectional-Driven Method for Spatiotemporal Fusion of Remote Sensing Images Peng Liu, Lizhe Wang†, Jia Chen, Yongchuan Cui
    IEEE J-STARS, 2024
    Paper BibTeX Code
  • Prior-based Three-stage Unsupervised Invertible Neural Network for Hyperspectral and Multispectral Image Fusion Mengnan Jin, Wenjuan Zhang†, Yongchuan Cui, Jie Pan, Dailiang Peng
    IEEE IGARSS, 2025

Projects 项目经历

2023.03 – 2023.06

Multi-source Remote Sensing Interactive Intelligent Annotation System

多源遥感交互式智能标注系统

Developed an interactive intelligent annotation system for remote sensing images based on CVAT. Focused on frontend interactive point-based annotation and backend deep learning segmentation models. Supported by NSFC.

基于CVAT开发了面向遥感图像的交互式智能标注系统。负责前端交互式点标注和后端深度学习分割模型部署。受国家自然科学基金支持。

React, PostgreSQL, Redis, MapServer, Django, OpenLayers, GDAL

2022.10 – 2023.02

Distributed Remote Sensing LULC Classification System

分布式遥感土地利用/覆盖分类系统

Designed a distributed LULC classification system with data storage, query indexing, classification algorithms, and UI. Used GDAL, MinIO, MapServer, and FastAPI.

设计了分布式土地利用/覆盖分类系统，涵盖数据存储、查询索引、分类算法和界面。使用GDAL、MinIO、MapServer和FastAPI。

GDAL, MinIO, MapServer, OpenLayers, FastAPI, Vite+React+Ant

2022.06 – 2022.08

Jetson Xavier NX: Edge AI Development

Jetson Xavier NX：边缘AI开发

Deployed deep learning models on Nvidia Jetson Xavier NX. YOLOv5 with TensorRT FP32 boosted FPS from 17.67 to 40.34 with minimal accuracy loss.

在Nvidia Jetson Xavier NX上部署深度学习模型。使用TensorRT FP32加速YOLOv5，FPS从17.67提升至40.34，精度几乎无损。

Nvidia Jetson Xavier NX, PyTorch, OpenCV, TensorRT, Docker, YOLOv5

Honors & Awards 荣誉奖项

Academic Services 学术服务

Journal Reviewer

期刊审稿人

Conference Reviewer

会议审稿人

Contact 联系方式

cuiyongchuan23@mails.ucas.ac.cn

yongchuancui@gmail.com (preferred)（首选）