👋 About Me
I am a Researcher at Shanghai AI Laboratory, working with Prof. Wanli Ouyang and Lei Bai. Before 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 estimate and predict the status of our Earth system (Atmosphere, Environment, Land). 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
- 2026.08: Received the IEEE GRSS Highest Impact Paper Award (Top 0.01%) 🎉!
- 2025.11: Appointed as Academic Editor for the Remote Sensing Special Issue “Advancing Remote Sensing Through Large Multimodal Foundation Models: Toward Intelligent Earth Observation” (2025.11 – 2026.10).
- 2025.11: Selected for the 2025 China Society of Astronautics Outstanding Doctoral Dissertation Incentive Program (Top 0.1%).
- 2025.03: Awarded 2024 Beijing Outstanding Doctoral Dissertation Nomination. (北京优博提名)
- 2025.01: One paper becomes the most cited paper in the field in the past five years. (所在领域近5年最高引)
- 2025.01: Our RS-Mamba becomes an ESI Highly Cited Paper.
- 2023.07: My google scholar citations have exceeded 1000 🎉🎉!
- 2022.09: Our three papers become ESI Highly Cited Papers.
- 2022.07: Our BIT becomes TGRS popular paper (Top2).
- 2022.06: Our paper won the Remote Sensing 2022 Best Paper Award (Top-0.1%) !
📝 Selected Publications
AI for Earth System Modeling
Transforming Weather Data from Pixel to Latent Space
ICML, 2026 (Spotlight)
Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen†, Tao Han, Junchao Gong, Ran Tao, Pengfeng Xiao, Xinyu Gu, Lei Bai
[Arxiv] [Paper] [Code]
Efficient physics-interpretable deep learning for skillful tropical stratosphere dynamics modeling
npj Artificial Intelligence, 2026
Ran Tao, Xianghui Xue, Hao Chen†, Fenghua Ling, Fei Xie, Ben Fei, Lei Bai, Xiankang Dou
[Paper]
Earth-o1: A Grid-free Observation-native Atmospheric World Model
arXiv, 2026
Junchao Gong, Kaiyi Xu, Wangxu Wei, Siwei Tu, Jingyi Xu, Zili Liu, Hang Fan, Zhiwang Zhou, Tao Han, Yi Xiao, Xinyu Gu, Zhangrui Li, Wenlong Zhang, Hao Chen, et al.
[Arxiv]
Latent Space Transformer for High-Resolution Particulate Matter Nowcasting From LiDAR Observations
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2026
Ran Tao, Chong Wang, Hao Chen†, Mingjiao Jia, Xiang Shang, Luoyuan Qu, Guoliang Shentu, Yudie Li, Lei Bai, Xianghui Xue, et al.
[PDF] [Paper]
Trace: A multi-agent system for autonomous physical reasoning for seismology
arXiv, 2026
Feng Liu, Jian Xu, Xin Cui, Xinghao Wang, Zijie Guo, Jiong Wang, S Mostafa Mousavi, Xinyu Gu, Hao Chen, Ben Fei, et al.
[Arxiv]
WeatherGFM: Learning a weather generalist foundation model via in-context learning
ICLR, 2025
Xiangyu Zhao, Zhiwang Zhou, Wenlong Zhang, Yihao Liu, Xiangyu Chen, Junchao Gong, Hao Chen, Ben Fei, Shiqi Chen, Wanli Ouyang, et al.
[Arxiv] [Paper] [Code]
KAN-enhanced transformer for wind profile retrieval from lidar spectra
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
Ran Tao, Chong Wang, Hao Chen†, Mingjiao Jia, Xiang Shang, Luoyuan Qu, Guoliang Shentu, Yanyu Lu, Yanfeng Huo, Lei Bai, et al.
[Paper]
Kolmogorov arnold neural interpolator for downscaling and correcting meteorological fields from in-situ observations
arXiv, 2025
Zili Liu, Hao Chen†, Lei Bai, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
[Arxiv] [Paper]
Topographic informed Kolmogorov-Arnold neural interpolator for downscaling and correcting meteorological fields from in situ observations
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
Zili Liu, Hao Chen†, Lei Bai, Wenyuan Li, Zhengxia Zou, Zhenwei Shi
[Arxiv] [Paper]
Satellite observations guided diffusion model for accurate meteorological states at arbitrary resolution
CVPR, 2025
Siwei Tu, Ben Fei, Weidong Yang, Fenghua Ling, Hao Chen, Zili Liu, Kun Chen, Hang Fan, Wanli Ouyang, Lei Bai
[Arxiv] [Paper] [Code]
DiffSR: Learning radar reflectivity synthesis via diffusion model from satellite observations
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025
Xuming He, Zhiwang Zhou, Wenlong Zhang, Xiangyu Zhao, Hao Chen, Shiqi Chen, Lei Bai
[Arxiv] [Paper]
Probing scientific general intelligence of LLMs with scientist-aligned workflows
arXiv, 2025
Wanghan Xu, Yuhao Zhou, Yifan Zhou, Qinglong Cao, Shuo Li, Jia Bu, Bo Liu, Yixin Chen, Xuming He, Xiangyu Zhao, et al.
[Arxiv] [Code] [Dataset]
Deriving Accurate Surface Meteorological States at Arbitrary Locations via Observation-Guided Continuous Neural Field Modeling
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Zili Liu, Hao Chen†, Lei Bai, Wenyuan Li, Keyan Chen, Zhengyi Wang, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi†
[Arxiv] [TGRS]
MambaDS: Near-Surface Meteorological Field Downscaling With Topography Constrained Selective State-Space Modeling
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Zili Liu, Hao Chen†, Lei Bai, Wenyuan Li, Wanli Ouyang, Zhengxia Zou, Zhenwei Shi†
[TGRS]
Deepphysinet: Bridging deep learning and atmospheric physics for accurate and continuous weather modeling
arXiv, 2024
Wenyuan Li, Zili Liu, Keyan Chen, Hao Chen, Shunlin Liang, Zhengxia Zou, Zhenwei Shi
[Arxiv]
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
NeurIPS, 2024
Kun Chen, Tao Chen, Peng Ye, Hao Chen, Kang Chen, Tao Han, Wanli Ouyang, Lei Bai
[Arxiv]
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling
NeurIPS, 2024
Wanghan Xu, Fenghua Ling, Wenlong Zhang, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
[Arxiv] [Code]
ExtremeCast: Boosting Extreme Value Prediction for Global Weather Forecast
arXiv, 2024
Wanghan Xu, Kang Chen, Tao Han, Hao Chen, Wanli Ouyang, Lei Bai
[Arxiv]
Towards a Self-contained Data-driven Global Weather Forecasting Framework
arXiv, 2023
Yi Xiao, LEI BAI, Wei Xue, Hao Chen, Kun Chen, kang chen, Tao Han, Wanli Ouyang
[ICML 2024] [Code]
Towards an end-to-end artificial intelligence driven global weather forecasting system
arXiv, 2023
Kun Chen, Lei Bai, Fenghua Ling, Peng Ye, Tao Chen, Jing-Jia Luo, Hao Chen, Yi Xiao, Kang Chen, Tao Han, Wanli Ouyang
[Arxiv]
AI for Earth Observation
OpenEarth-Agent: From tool calling to tool creation for open-environment earth observation
arXiv, 2026
Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen†, Xinyu Gu, Zhe Jiang, Fenghua Ling, Ben Fei, Wenlong Zhang, Junjue Wang, et al.
[Arxiv] [Code]
Spatial–Temporal–Spectral Unified Modeling for Remote Sensing Dense Prediction
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2026
Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen†, Pengfeng Xiao, Junjue Wang, Weihao Xuan, Naoto Yokoya, Lei Bai
[Arxiv] [Paper] [Code]
GF7S: A large-scale GaoFen-7 stereo dataset and self-supervised adaptation of FoundationStereo for high-resolution DSM generation
ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JPRS), 2026
Yinxia Cao, Fenzhen Su, Dongjie Fu, Wenzhou Wu, Fengqin Yan, Rong Fan, Hao Chen, Xin Huang
[Paper]
FootprintNet: State-Transition-Guided Dynamic Footprint Learning for Multi-temporal Remote Sensing Change Detection
arXiv, 2026
Haotian Zhang, Hao Chen, Han Guo, Zhengxia Zou, Zhenwei Shi
[Arxiv] [Code]
FoBa: A foreground–background co-guided method and new benchmark for remote sensing semantic change detection
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
Haotian Zhang, Han Guo, Keyan Chen, Hao Chen, Zhengxia Zou, Zhenwei Shi
[Arxiv] [Paper] [Code] [Dataset] (ESI Highly Cited Paper)
Open-CD: A comprehensive toolbox for change detection
ACM International Conference on Multimedia (ACM MM), 2025
Kaiyu Li†, Jiawei Jiang†, Andrea Codegoni†, Chengxi Han†, Yupeng Deng†, Keyan Chen†, Zhuo Zheng†, Hao Chen†, Ziyuan Liu†, Yuantao Gu, Zhengxia Zou, et al.
[Arxiv] [Paper] [Code]
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, Zhenwei Shi
[Paper] [Code] (ESI Highly Cited Paper)
Diverse hyperspectral remote sensing image synthesis with diffusion models
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Liqin Liu, Bowen Chen, Hao Chen, Zhengxia Zou, Zhenwei Shi
[PDF] [Paper] (ESI Highly Cited Paper)
VegeDiff: Latent Diffusion Model for Geospatial Vegetation Forecasting
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025
Sijie Zhao, Hao Chen†, Xueliang Zhang†, Pengfeng Xiao, Lei Bai
[Arxiv] [TGRS] [Code]
RS-Mamba for Large Remote Sensing Image Dense Prediction
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2024
Sijie Zhao, Hao Chen†, Xueliang Zhang†, Pengfeng Xiao, Lei Bai, Wanli Ouyang
[Arxiv] [TGRS] [Code] (ESI Highly Cited Paper(Top-1%))
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] (ESI Highly Cited/hot Paper(Top-0.1%))
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
- 2026.08 IEEE GRSS Highest Impact Paper Award (IEEE GRSS 最高影响力论文奖)(Top 0.01%)
- 2025.11 2025 China Society of Astronautics Outstanding Doctoral Dissertation Incentive Program（中国宇航学会高水平博士学位论文激励计划）(Top 0.1%)
- 2025.03 2024 Beijing Outstanding Doctoral Dissertation Nomination (北京市优秀博士学位论文提名)(Top 0.1%)
- 2024.01 Excellent Doctoral Thesis of Beihang University (北航优秀博士学位论文)(Top 1%)
- 2023.06 “Outstanding Graduates” of Beijing, Ministry of Education of Beijing (北京市优秀毕业生)(Top 1%)
- 2022.07 《Remote Sensing》2022 Best Paper Award (RS最佳论文奖)(Top 0.1%)
- 2021.10 National Scholarship, Ministry of Education of China (国家奖学金)(Top 1%)
- 2017.06 “Outstanding Graduates” of Beijing, Ministry of Education of Beijing (北京市优秀毕业生)(Top 1%)
📝 Services
Area Chair
- International Conference on Learning Representations (ICLR, CCF-A), 2027
Academic Editor
- Remote Sensing, Special Issue “Advancing Remote Sensing Through Large Multimodal Foundation Models: Toward Intelligent Earth Observation” (2025.11 – 2026.10)
Reviewer
- AAAI Conference on Artificial Intelligence (AAAI, CCF-A)
- International World Wide Web Conference (WWW, CCF-A)
- Conference on Neural Information Processing Systems (NeurIPS, CCF-A)
- International Conference on Learning Representations (ICLR, CCF-A)
- IEEE International Conference on Computer Vision (ICCV, CCF-A)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A)
- European Conference on Computer Vision (ECCV, CCF-B)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, CCF-A)
- International Journal of Computer Vision (IJCV, CCF-A)
- IEEE Transactions on Image Processing (TIP, CCF-A)
- The Innovation (Cell Press)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, CCF-B)
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS JPRS, Q1)
- IEEE Transactions on Geoscience and Remote Sensing (TGRS, CCF-B)
- Pattern Recognition (PR, CCF-B)
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS, CCF-B)
- International Journal of Applied Earth Observation and Geoinformation (JAG, Q1)
- Journal of Remote Sensing (JRS, Science Partner Journal, Q1)
- IEEE Geoscience and Remote Sensing Letters (GRSL, CCF-C)
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS, Q1)
- International Journal of Digital Earth (IJDE, Q1)
- Remote Sensing (RS, Q1)
- Ocean Engineering (OE, Q1)
- Information Fusion (IF, Q1)
- Applied Soft Computing (ASOC, Q1)
- Expert Systems with Applications (ESWA, CCF-C)
- IEEE Access
📖 Others
Here are some of the top blogs, newsletters, and resources:
- Arxiv.org - The go-to place for the latest AI research papers
- Google AI Blog - Cutting-edge AI/ML research from Google
- OpenAI Blog - Insights into LLMs, GPT, ChatGPT, and more
- DeepMind Blog - Reinforcement learning, AlphaGo, and more
- Andrej Karpathy’s Blog - Great technical insights from former Tesla AI Director
- Yannic Kilcher’s YouTube Channel - Excellent paper explanations
- Distill.pub - Clear visual explanations of ML concepts
- The Batch (by Andrew Ng) - Weekly AI newsletter
- Hugging Face Blog - Practical NLP and transformer model guides