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

Jan 31, 2025	Paper published: “DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-Guided Difference Perception” in Remote Sensing, 2026.
Dec 31, 2024	Paper accepted: “ChangeChat: An Interactive Model for Remote Sensing Change Analysis via Multimodal Instruction Tuning” at ICASSP 2025.
Dec 31, 2024	Welcome to Hanlin Wu’s academic homepage!

Selected Publications

DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-Guided Difference Perception

Pei Deng, Wenqian Zhou, and Hanlin Wu

Remote Sensing, 2026

DOI Bib HTML PDF Code

@article{deng2026deltavlm,
  title = {DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-Guided Difference Perception},
  author = {Deng, Pei and Zhou, Wenqian and Wu, Hanlin},
  journal = {Remote Sensing},
  year = {2026},
  volume = {18},
  number = {4},
  pages = {541},
  doi = {10.3390/rs18040541},
}

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

@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},
}

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

@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

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

@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

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

@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},
}

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

@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},
}

Funding

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