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👋 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.

📎 Homepages

🔥 News

  • 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) !

Liu Chenyang's Projects

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Change-Agent: Towards Interactive Comprehensive Remote Sensing Change Interpretation and Analysis

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Official pytorch implementation of paper "Remote Sensing Image Captioning Based on Multi-Layer Aggregated Transformer"

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PyTorch implementation of 'A Decoupling Paradigm With Prompt Learning for Remote Sensing Image Change Captioning'

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Progressive Scale-aware Network for Remote sensing Image Change Captioning

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RSCaMa: Remote Sensing Image Change Captioning with State Space Model

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Official LEVIR-CC dataset and Pytorch implementation for Remote Sensing Image Change Captioning With Dual-Branch Transformers: A New Method and a Large Scale Dataset

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