Welcome to My Homepage!
I received my PhD from School of Remote Sensing and Information Engineering, Wuhan University.
I focus on developing advanced deep learning technologies for remote sensing image analysis. My research interests include computer vision, semantic segmentation, building extraction and vision-language representation learning. I have published 11 papers with cations 1100+ in the remote sensing field, including ISPRS, TGRS, GRSL, etc.
🔥 News
- 2024.02: Our paper (co-author) ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning has been accepted by ISPRS.
- 2023.09: Our paper UNetFormer achieved the U.V. Helava Best Paper Award of ISPRS in 2022.
- 2022.10: One paper (corresponding author) Class-Guided Swin Transformer for Semantic Segmentation of Remote Sensing Imagery has been accepted by IEEE GRSL.
- 2022.06: Our paper (first author) Building extraction with vision transformer has been accepted by TGRS.
- 2022.06: Our paper (first author) UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery has been accepted by ISPRS.
- 2022.01: 🎉🎉 Two papers was accepted:
- A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images, Libo Wang, Rui Li, Chenxi Duan, Ce Zhang, Xiaoliang Meng and Shenghui Fang
- A2-FPN for semantic segmentation of fine-resolution remotely sensed images, Rui Li, Libo Wang, Ce Zhang, Chenxi Duan and Shunyi Zheng
📝 Publications
Vision Transformer
- UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 2022, Libo Wang, Rui Li, Ce Zhang, Shenghui Fang*, Chenxi Duan, Xiaoliang Meng, Peter M. Atkinson. Code is available at GeoSeg
- Building extraction with vision transformer, IEEE Transactions on Geoscience and Remote Sensing, 2022, Libo Wang, Shenghui Fang*, Xiaoliang Meng, Rui Li. Code is available at BuildFormer
- A Novel Transformer Based Semantic Segmentation Scheme for Fine-Resolution Remote Sensing Images, IEEE Geoscience and Remote Sensing Letters, 2022, Libo Wang, Rui Li, Chenxi Duan, Ce Zhang, Xiaoliang Meng and Shenghui Fang* [Code]
- Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images, Remote Sensing, 2021, Libo Wang, Rui Li, Dongzhi Wang, Chenxi Duan, Teng Wang* and Xiaoliang Meng [Code]
- Class-Guided Swin Transformer for Semantic Segmentation of Remote Sensing Imagery, IEEE Geoscience and Remote Sensing Letters, 2022, Xiaoliang Meng, Yuechi Yang, Libo Wang*, Teng Wang, Rui Li, and Ce Zhang.
Vision-language Representation Learning
- ChangeCLIP: Remote sensing change detection with multimodal vision-language representation learning, ISPRS Journal of Photogrammetry and Remote Sensing, 2024, Sijun Dong, Libo Wang, Bo Du, and Xiaoliang Meng. Code is available at ChangeCLIP
Convolutional Neural Network
- ABCNet: Attentive Bilateral Contextual Network for Efficient Semantic Segmentation of Fine-Resolution Remote Sensing Images, ISPRS Journal of Photogrammetry and Remote Sensing, 2021, Rui Li, Shunyi Zheng, Ce Zhang, Chenxi Duan*, Libo Wang, Peter M. Atkinson [Code]
- Multiattention network for semantic segmentation of fine-resolution remote sensing images, IEEE Transactions on Geoscience and Remote Sensing, 2021, Rui Li, Shunyi Zheng, Ce Zhang, Chenxi Duan*, Jianlin Su, Libo Wang, Peter M. Atkinson [Code]
- A2-FPN for semantic segmentation of fine-resolution remotely sensed images, International Journal of Remote Sensing, 2022 Rui Li, Libo Wang, Ce Zhang, Chenxi Duan* and Shunyi Zheng [Code]
- Land cover classification from remote sensing images based on multi-scale fully convolutional network, Geo-spatial Information Science, 2022, Rui Li, Shunyi Zheng, Chenxi Duan*, Libo Wang, Ce Zhang
- Scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images, Remote Sensing, 2021, Libo Wang, Ce Zhang, Rui Li, Chenxi Duan, Xiaoliang Meng*, Peter M. Atkinson
🎖 Honors and Awards
- 2023.09 The U.V. Helava Best Paper Award 2022 (2022年度ISPRS期刊最佳论文奖)
- 2022.12 Top Ten Academic Stars in Wuhan University (武汉大学十大“学术之星”提名奖)
- 2022.10 First Prize of Academic Innovation Award in Wuhan University (武汉大学“研究生学术创新奖”一等奖)
- 2018.09 First Prize of the 7th China Software Cup Competition (第七届中国软件杯大赛全国总决赛一等奖)
📖 Educations
- 2019.09 - 2022.12, Doctor, Photogrammetry and Remote Sensing, Wuhan University
- 2017.09 - 2019.06, Master, Software Engineering, Wuhan University
- 2013.09 - 2017.06, Bachelor, Geo-information Science, China University of Petroleum（East China)
💻 Journal Reviewer (Selected)
- ISPRS Journal of Photogrammetry and Remote Sensing
- IEEE Transactions on Neural Networks and Learning Systems
- IEEE Transactions on Geoscience and Remote Sensing
- IEEE Transactions on Circuits and Systems for Video Technology
- IEEE Geoscience and Remote Sensing Letters
- IEEE Selected Topics in Applied Earth Observations and Remote Sensing
- International Journal of Applied Earth Observation and Geoinformation
- Applied Intelligence
- Neurocomputing
- Remote Sensing