Hanlin Wu (吴瀚霖) 😃
Hanlin Wu (吴瀚霖)

Lecturer with the School of Information Science and Technology

Beijing Foreign Studies University

About Me

Hanlin Wu received the B.S. degree in statistics and the Ph.D. degree in computer application technology from Beijing Normal University, Beijing, China, in 2015 and 2022, respectively. He is currently a Lecturer with the School of Information Science and Technology, Beijing Foreign Studies University, Beijing.

Interests
  • Computer Vision
  • Multimodal Machine Learning
  • Image Restoration
  • Score-based Generative Models
  • Remote Sensing Image Processing
Education

  • Ph.D. in Computer Application Technology

    Beijing Normal University

  • M.S. in Probability and Statistics

    Beijing Normal University

  • B.S. in Statistics

    Beijing Normal University

📚 My Research

Super-resolution (SR): SR techniques for remote sensing images, particularly continuous-scale methods, developing lightweight and dynamic models to enhance data quality.

Vision-Language Models (VLMs): multi-modal (vision-language) remote sensing data processing, involving efficient image-text retrieval and change interpretation in large datasets.

Featured Publications
Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images
ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning
Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images
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Publications
Hanlin Wu (吴瀚霖), Jiangwei Mo, Xiaohui Sun, Jie Ma (2025). Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images. IEEE Trans. Geosci. Remote Sens. (SCI Q1 TOP).
PDF Code
Xiaofei Yu, Yitong Li, Jie Ma, Chang Li, Hanlin Wu (吴瀚霖) (2025). Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images. IEEE Trans. Geosci. Remote Sens. (SCI Q1 TOP).
PDF Code
Xiaofei Yu, Jie Ma, Hanlin Wu (吴瀚霖), Liqiang Qiao (2025). Boosting Change Captioning in Remote Sensing Based On Data Augmentation And Diffusion Models. IGARSS 2025.
Xiaohui Sun, Jiangwei Mo, Hanlin Wu (吴瀚霖), Jie Ma (2025). Single-Step Latent Consistency Model for Remote Sensing Image Super-Resolution. IGARSS 2025.
PDF
Pei Deng, Wenqian Zhou, Hanlin Wu (吴瀚霖) (2025). ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning. ICASSP 2025.
PDF Code
Wenqian Zhou, Hanlin Wu (吴瀚霖), Pei Deng (2024). Toward Efficient and Accurate Remote Sensing Image-Text Retrieval with a Coarse-to-Fine Approach. IEEE Geosci. Remote Sens. Letters.
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Wenqian Zhou, Hanlin Wu (吴瀚霖) (2024). From Coarse To Fine: An Offline-Online Approach for Remote Sensing Cross-Modal Retrieval. IGRASS 2024.
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Hanlin Wu (吴瀚霖), Ning Ni, Shan Wang, Libao Zhang (2023). Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images. IEEE Trans. Geosci. Remote Sens. (SCI Q1 TOP).
Cite Code DOI
Hanlin Wu (吴瀚霖), Ning Ni, Libao Zhang (2023). Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images. IEEE Trans. Geosci. Remote Sens. (SCI Q1 TOP).
Cite Code DOI
Hanlin Wu (吴瀚霖), Ning Ni, Libao Zhang (2023). Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy. IEEE Trans. Geosci. Remote Sens. (SCI Q1 TOP).
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Funding
⭐ 2025.01-2027.12，国家自然科学基金青年科学基金项目：开放场景下认知启发的遥感影像超分辨率重建方法研究, 主持

⭐ 2024.06-2027.06，北京外国语大学学术青年创新团队项目：生成式大语言模型的核心价值观对齐研究，参与

⭐ 2024.06-2027.06，北京外国语大学：基于状态空间扩散模型的遥感影像变化描述方法研究，参与

⭐ 2023.01-2025.12，国家自然科学基金面上项目：演进学习框架下协同感知显著性引导的弱标注遥感影像语义分割方法研究，参与

⭐ 2022.09-2025.09，北京外国语大学：自适应学习框架下显著性引导的遥感影像超分辨率重建方法研究，主持