👋 About Me

I am a Ph.D. student at LEVIR Group, Beihang University (BUAA), supervised by Prof. Zhenwei Shi (史振威,国家杰青) and Prof. Zhengxia Zou (邹征夏,国家优青海外). Previously, I received my bachelor’s degree from Shanxi University in June 2019 and my master’s degree from Inner Mongolia University in June 2022. My research interests lie in remote sensing image processing, deep learning, and change detection.

🔥 News

  • 2024.05: One paper is accepted by GRSL (JCR Q1, IF=4.8, CCF C) !
  • 2024.03: One paper is accepted by TGRS (JCR Q1, IF=8.2, CCF B) !
  • 2024.01: One paper is accepted by TGRS (JCR Q1, IF=8.2, CCF B) !
  • 2023.10: One paper is accepted by TGRS (JCR Q1, IF=8.2, CCF B) !
  • 2022.10: One paper is accepted by ICIP (CCF C) !
  • 2022.08: One paper is accepted by ICPR (CCF C) !
  • 2022.07: Two papers are accepted by IJCNN (CCF C) !

📝 Publications

My full paper list can be found at

RSCaMa

RSCaMa: Remote Sensing Image Change Captioning with State Space Model
IEEE Geoscience and Remote Sensing Letters (GRSL), 2024
Chenyang Liu, Keyan Chen, Bowen Chen, Haotian Zhang, Zhengxia Zou, Zhenwei Shi
[PDF] [Code]

Change_Agent

Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis
Under review
Chenyang Liu, Keyan Chen, Haotian Zhang, Zipeng Qi, Zhengxia Zou, Zhenwei Shi
[PDF] [Code]

BiFA

BiFA: Remote Sensing Image Change Detection With Bitemporal Feature Alignment
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Haotian Zhang, Hao Chen, Chenyao Zhou, Keyan Chen, Chenyang Liu, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]

RSPrompter

RSPrompter: Learning to Prompt for Remote Sensing Instance Segmentation based on Visual Foundation Model
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Keyan Chen, Chenyang Liu, Hao Chen, Haotian Zhang, Wenyuan Li, Zhengxia Zou, and Zhenwei Shi
[PDF] [Page] [Code] [Demo]

SILI

Continuous Cross-Resolution Remote Sensing Image Change Detection
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Hao Chen, Haotian Zhang, Keyan Chen, Chenyao Zhou, Song Chen, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]

CRFM

Context Relation Fusion Model for Visual Question Answering
IEEE International Conference on Image Processing (ICIP), 2022
Haotian Zhang, Wei Wu
[PDF]

CAT

CAT: Re-Conv Attention in Transformer for Visual Question Answering
IEEE International Conference on Pattern Recognition (ICPR), 2022
Haotian Zhang, Wei Wu
[PDF]

MACM

Multi-Attention Cascade Model Based on Multi-Head Structure for Image-Text Retrieval
IEEE International Joint Conference on Neural Networks (IJCNN), 2022
Haotian Zhang, Wei Wu, Meng Zhang
[PDF]

TGAM

Transformer Gate Attention Model: An Improved Attention Model for Visual Question Answering
IEEE International Joint Conference on Neural Networks (IJCNN), 2022
Haotian Zhang, Wei Wu
[PDF]

🏆 Selected Honors

  • 2024.02 Excellent master’s thesis of Inner Mongolia Autonomous Region (Top 1%)
  • 2022.08 Excellent master’s thesis of Inner Mongolia University (Top 1%)
  • 2021.10 First Prize of “Academic Scholarship for Postgraduates”, Inner Mongolia University (Top 10%)
  • 2020.10 First Prize of “Academic Scholarship for Postgraduates”, Inner Mongolia University (Top 10%)
  • 2019.10 First Prize of “Academic Scholarship for Postgraduates”, Inner Mongolia University (Top 10%)

📖 Educations

  • 2022.09 - Present, Ph.D. in the Image Processing Center, Beihang University, China.
  • 2019.09 - 2022.06, M.S. in the School of Computer Science, Inner Mongolia University, China.
  • 2015.09 - 2019.06, B.S. in the School of Computer Science and Technology, Shanxi University, China.

💻 Academic Service

Reviewer:

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • Neurocomputing