Hanlin Wu

Hanlin Wu (吴瀚霖) received his B.S. in Statistics (2015) and Ph.D. in Computer Application Technology (2022) from Beijing Normal University (BNU). He is currently a Lecturer at the School of Information Science and Technology, Beijing Foreign Studies University (BFSU).

He has an academic background in mathematics, probability theory, and computer science. His research interests include:

Generative Image Restoration: Score-based and diffusion-style modeling for image restoration, structural prior learning, and data-efficient adaptation.
Multimodal Vision-Language Models: Vision-language representation learning for cross-modal retrieval, semantic alignment, and large-scale image-text understanding.
Remote Sensing Image Super-Resolution: Flexible remote sensing image enhancement across arbitrary zoom factors, with a focus on high-frequency detail recovery and efficient deployment.

News

May 19, 2026	Paper accepted: “MapSR: Prompt-Driven Land Cover Map Super-Resolution via Vision Foundation Models” by GRSL.
Feb 01, 2026	Paper published: “DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-Guided Difference Perception” in Remote Sensing, 2026.
Jan 01, 2025	Paper accepted: “ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning” at ICASSP 2025.
Jan 01, 2025	Welcome to Hanlin Wu’s academic homepage!

Selected Publications

TGRS

Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images

Hanlin Wu, Ning Ni, and Libao Zhang

IEEE Transactions on Geoscience and Remote Sensing, 2023

DOI Bib Code

scholar 44

@article{wu2023sadn,
  title = {Learning Dynamic Scale Awareness and Global Implicit Functions for Continuous-Scale Super-Resolution of Remote Sensing Images},
  author = {Wu, Hanlin and Ni, Ning and Zhang, Libao},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {61},
  pages = {1--15},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/TGRS.2023.3240254},
}

ICASSP

ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning

Pei Deng, Wenqian Zhou, and Hanlin Wu

In 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

Bib PDF Code

scholar 40

@inproceedings{deng2025changechat,
  title = {ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning},
  author = {Deng, Pei and Zhou, Wenqian and Wu, Hanlin},
  booktitle = {2025 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  year = {2025},
}

TGRS

Remote Sensing Image Super-Resolution via Saliency-Guided Feedback GANs

Hanlin Wu, Libao Zhang, and Jie Ma

IEEE Transactions on Geoscience and Remote Sensing, 2020

DOI Bib Code

scholar 38

@article{wu2020sgfbgan,
  title = {Remote Sensing Image Super-Resolution via Saliency-Guided Feedback GANs},
  author = {Wu, Hanlin and Zhang, Libao and Ma, Jie},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {60},
  pages = {1--16},
  year = {2020},
  publisher = {IEEE},
  doi = {10.1109/TGRS.2020.3042515},
}

TGRS

Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images

Xiaofei Yu, Yitong Li, Jie Ma, Chang Li, and Hanlin Wu

IEEE Transactions on Geoscience and Remote Sensing, 2025

Bib PDF Code

scholar 32

@article{yu2025diffusioncc,
  title = {Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images},
  author = {Yu, Xiaofei and Li, Yitong and Ma, Jie and Li, Chang and Wu, Hanlin},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
}

TGRS

Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images

Hanlin Wu, Ning Ni, Shan Wang, and Libao Zhang

IEEE Transactions on Geoscience and Remote Sensing, 2023

DOI Bib Code

scholar 26

@article{wu2023blindsrsnf,
  title = {Conditional Stochastic Normalizing Flows for Blind Super-Resolution of Remote Sensing Images},
  author = {Wu, Hanlin and Ni, Ning and Wang, Shan and Zhang, Libao},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2023},
  doi = {10.1109/TGRS.2023.3304297},
}

TGRS

Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy

Hanlin Wu, Ning Ni, and Libao Zhang

IEEE Transactions on Geoscience and Remote Sensing, 2023

DOI Bib Code

scholar 18

@article{wu2023saldrn,
  title = {Lightweight Stepless Super-Resolution of Remote Sensing Images via Saliency-Aware Dynamic Routing Strategy},
  author = {Wu, Hanlin and Ni, Ning and Zhang, Libao},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  volume = {61},
  pages = {1--17},
  year = {2023},
  publisher = {IEEE},
  doi = {10.1109/TGRS.2023.3236624},
}

GRSL

Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution

Ning Ni, Hanlin Wu, and Libao Zhang

IEEE Geoscience and Remote Sensing Letters, 2021

DOI Bib Code

scholar 15

@article{ni2021rsihfas,
  title = {Hierarchical Feature Aggregation and Self-Learning Network for Remote Sensing Image Continuous-Scale Super-Resolution},
  author = {Ni, Ning and Wu, Hanlin and Zhang, Libao},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  volume = {19},
  pages = {1--5},
  year = {2021},
  publisher = {IEEE},
  doi = {10.1109/LGRS.2021.3122985},
}

TGRS

Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images

Hanlin Wu, Jiangwei Mo, Xiaohui Sun, and Jie Ma

IEEE Transactions on Geoscience and Remote Sensing, 2025

Bib PDF Code

scholar 13

@article{wu2025latentdiffsr,
  title = {Latent Diffusion, Implicit Amplification: Efficient Continuous-Scale Super-Resolution for Remote Sensing Images},
  author = {Wu, Hanlin and Mo, Jiangwei and Sun, Xiaohui and Ma, Jie},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2025},
}

GRSL

Toward Efficient and Accurate Remote Sensing Image-Text Retrieval with a Coarse-to-Fine Approach

Wenqian Zhou, Hanlin Wu, and Pei Deng

IEEE Geoscience and Remote Sensing Letters, 2024

DOI Bib Code

scholar 11

@article{zhou2024retrieval,
  title = {Toward Efficient and Accurate Remote Sensing Image-Text Retrieval with a Coarse-to-Fine Approach},
  author = {Zhou, Wenqian and Wu, Hanlin and Deng, Pei},
  journal = {IEEE Geoscience and Remote Sensing Letters},
  year = {2024},
  doi = {10.1109/LGRS.2024.3494543},
}

TGRS

Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images

Libao Zhang and Hanlin Wu

IEEE Transactions on Geoscience and Remote Sensing, 2021

DOI Bib Code

scholar 6

@article{wu2021cosalmrf,
  title = {Cosaliency Detection and Region-of-Interest Extraction via Manifold Ranking and MRF in Remote Sensing Images},
  author = {Zhang, Libao and Wu, Hanlin},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year = {2021},
  doi = {10.1109/TGRS.2020.3042515},
}

Funding

2026.03 – 2029.03	Beijing Foreign Studies University: Research on Multi-Agent Collaborative Heterogeneous Degraded Image Restoration Methods (多智能体协同的异质退化图像恢复方法研究), PI
2025.01 – 2027.12	National Natural Science Foundation of China (NSFC) Youth Science Fund Project: Research on Cognition-Inspired Super-Resolution Reconstruction Methods for Remote Sensing Images in Open Scenarios (开放场景下认知启发的遥感影像超分辨率重建方法研究), PI
2022.09 – 2025.09	Beijing Foreign Studies University: Research on Saliency-Guided Super-Resolution Reconstruction Methods for Remote Sensing Images under Adaptive Learning Framework (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), PI