👋 About Me

I am a Junior Researcher at Shanghai AI Laboratory, working with Prof. Wanli Ouyang and Lei Bai. Prior to that, I got my Ph.D. from Beihang University under the supervision of Prof. Shi Zhenwei, the head of LEVIR Laboratory.

My research interests lie in large-scale earth system understanding and prediction, focusing on developing efficient and robust deep learning algorithms by leveraging multi-source earth data (e.g., observations, simulations, analysis) to better understand the history, and status of our earth and predict its future. The related tasks include weather forecasting, multi-source data fusion, and remote sensing image understanding.

If you are interested in the research intern or Joint Training Ph.D. Project at Shanghai AI Lab, feel free to drop me an email. Students with good foundations in AI-based spatiotemporal data fusion, Earth system forecasting, or quantitative remote sensing are appreciated.

🔥 News

2024.01: One paper is accepted by TGRS (IF=8.2)!
2023.12: One paper is accepted by TGRS (IF=8.2)!
2023.10: One paper is accepted by TGRS (IF=8.2)!
2023.07: My google scholar citations have exceeded 1000 🎉🎉!
2023.06: One paper is accepted by TGRS (IF=8.2)!
2022.09: One paper is accepted by TGRS (IF=8.2)!
2022.06: Our paper won the Remote Sensing 2022 Best Paper Award (Top-0.1%) !
2021.07: One paper is accepted by TGRS (IF=8.2)!
2021.03: One paper is accepted by TGRS (IF=8.2)!

📝 Selected Publications

Observation-Guided Meteorological Field Downscaling at Station Scale: A Benchmark and a New Method
Arxiv, 2024
Zili Liu, Hao Chen*, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi*
[Arxiv]

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, Zhenwei Shi
[Arxiv] [TGRS] [Code]

Semantic-Aware Dense Representation Learning for Remote Sensing Image Change Detection
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Hao Chen, Wenyuan Li, Song Chen, and Zhenwei Shi
[PDF] [Arxiv] [Code]

Remote Sensing Image Change Detection with Transformers
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Hao Chen, Zipeng Qi, and Zhenwei Shi
[PDF] [Arxiv] [Code] (ESI Highly Cited/hot Paper(Top-0.1%))

Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Hao Chen, Wenyuan Li, and Zhenwei Shi
[PDF] [Code] (ESI Highly Cited Paper(Top-1%))

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Remote Sensing, 2020
Hao Chen, and Zhenwei Shi
[PDF] [Code] [Dataset] (ESI Highly Cited/hot Paper(Top-0.1%))

Semantic decoupled representation learning for remote sensing image change detection
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
Hao Chen, Yifan Zao, Liqin Liu, Song Chen, Zhenwei Shi
[PDF] [Arxiv]

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, Zhenwei Shi
[TGRS] [Arxiv] [Code]

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
[Arxiv] [Page] [TGRS]

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] [Code] [Dataset]

Geographical Knowledge-Driven Representation Learning for Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
Wenyuan Li, Keyan Chen, Hao Chen, and Zhenwei Shi
[PDF] [Code]

Contrastive Learning for Fine-grained Ship Classification in Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Jianqi Chen, Keyan Chen, Hao Chen, Wenyuan Li, Zhengxia Zou, and Zhenwei Shi
[PDF] [Code]

A Degraded Reconstruction Enhancement-based Method for Tiny Ship Detection in Remote Sensing Images with A New Large-scale Dataset
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022
Jianqi Chen, Keyan Chen, Hao Chen, Zhengxia Zou, and Zhenwei Shi
[PDF] [Dataset] [Code]

🏆 Honors and Awards

2024.01 Excellent Doctoral Thesis of Beihang University (Top 1%)
2023.06 “Outstanding Graduates” of Beijing, Ministry of Education of Beijing (Top 1%)
2022.07 《Remote Sensing》2022 Best Paper Award (Top 0.1%)
2021.10 National Scholarship, Ministry of Education of China (Top 1%)
2020.12 Special Prize of “Remote sensing sparse representation and intelligent analysis contest”, Information Department of National Natural Science Foundation (Top 1%)
2019.08 DeeCamp 2019 Best Technology Award, DeeCamp AI committee (Top 2%)
2017.10 “Graduate Entrance Scholarship” of Beihang University (Top 3%)
2017.06 “Outstanding Graduates” of Beijing, Ministry of Education of Beijing (Top 1%)

📝 Services

Reviewer

📖 Educations

2017.09 - 2023.06, Ph.D. in Pattern Recognition and Intelligent System, Beihang University, China.
2013.09 - 2017.06, B.S. in Navigation, guidance, and control , Beihang University, China.

Hao Chen (陈浩)