👋 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 Beihang University in June 2021. My research interests lie in remote sensing image processing, deep learning, and multimodal learning.

🔥 News

  • 2024.05: Two papers are accepted by TGRS (JCR Q1, IF=8.2) and GRSL (JCR Q1, IF=4.8) !
  • 2023.04: One paper is accepted by IGARSS 2024 (Conference) !
  • 2024.03: One paper is accepted by TGRS (JCR Q1, IF=8.2) !
  • 2024.01: One paper is accepted by TGRS (JCR Q1, IF=8.2) !
  • 2023.09: One paper is accepted by TGRS (JCR Q1, IF=8.2) !
  • 2023.06: One paper is accepted by TGRS (JCR Q1, IF=8.2) !
  • 2023.04: One paper is accepted by IGARSS 2023 (Conference) !
  • 2022.10: One paper is accepted by TGRS (JCR Q1, IF=8.2) !
  • 2022.02: One paper is accepted by GRSL (JCR Q1, IF=4.8) !

📝 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]
Media report: [RSCaMa:将Mamba用于遥感变化描述任务中,充分利用状态空间模型的特征选择性建模能力!] – GISer阿兴 | CV看交通

Attack

Digital-to-Physical Visual Consistency Optimization for Adversarial Patch Generation in Remote Sensing Scenes
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Jianqi Chen, Yilan Zhang, Chenyang Liu, Keyan Chen, Zhengxia Zou, 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]

Prompt_CC

A Decoupling Paradigm with Prompt Learning for Remote Sensing Image Change Captioning
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Chenyang Liu, Rui Zhao, Jianqi Chen, Zipeng Qi, Zhengxia Zou, and Zhenwei Shi
[PDF] [Page]

Seg_INR

Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Zipeng Qi, Hao Chen, Chenyang Liu, Zhenwei Shi, and Zhengxia Zou
[PDF] [Page]

PSNet

Progressive Scale-aware Network for Remote sensing Image Change Captioning
International Geoscience and Remote Sensing Symposium (IGARSS), 2023
Chenyang Liu, Jiajun Yang, Zipeng Qi, Zhengxia Zou, and Zhenwei Shi
[PDF]

Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Chenyang Liu, Rui Zhao, Hao Chen, Zhengxia Zou, and Zhenwei Shi
[PDF] [Dataset] [Code]

MLAT

Remote Sensing Image Captioning Based on Multi-Layer Aggregated Transformer
IEEE Geoscience and Remote Sensing Letters (GRSL), 2022
Chenyang Liu, Rui Zhao, and Zhenwei Shi
[PDF] [Code]

🏆 Selected Honors

  • 2023.09 “Graduate Entrance Scholarship” of Beihang University
  • 2022.12 “Excellent graduate student” of Beihang University (Top 5%)
  • 2022.09 First Prize of “Academic Scholarship for Postgraduates”, Beihang University (Top 5%)
  • 2021.06 “Outstanding Graduates” of Beihang University
  • 2020.12 First Prize of “National Undergraduate Mathematics Contest”
  • 2020.10 National Encouragement Scholarship, Ministry of Education of China
  • 2020.09 “Outstanding Academic Performance”, Beihang University

📖 Educations

  • 2021.09 - Present, Ph.D. in Pattern Recognition and Intelligent System, Beihang University, China.
  • 2017.09 - 2021.06, B.S. in Image Processing Center, Beihang University, China.

💬 Invited Talks

  • 2024.05, “Remote Sensing Image Change Captioning”, Beijing Foreign Studies University internal talk

💻 Academic Service

Reviewer:

  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • International Journal of Digital Earth (IJDE)
  • Neurocomputing
  • International Journal of Machine Learning and Cybernetics
  • Journal of Supercomputing