Yunlong Zhou

🎓 PhD Candidate, School of Intelligence Science and Technology, Nanjing University
🔬 Research Areas: Precipitation Nowcasting | Spatiotemporal Sequence Prediction
📧 Email: yunlongzhou1998@gmail.com
Google Scholar: Yunlong Zhou | GitHub: RuntimeWarning

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📚 Education

• [2024 - Present] PhD in Computer Science and Technology Nanjing University (NJU), China
• [2021 - 2024] Master’s Degree in Computer Technology Nanjing University of Information Science & Technology (NUIST), China
• [2017 - 2021] Bachelor’s Degree in Computer Science and Technology Shandong Technology and Business University (SDTBU), China

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📝 Publications

Conference Articles

1. Yunlong Zhou, C Zhao, D Peng, et al. “Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting”. International Conference on Machine Learning (ICML), 2026.
2. D Peng, Y Chen, Yunlong Zhou, et al. “LoPhyDA: Low-Rank Tensor and Physics Gradient Guided Diffusion for Atmospheric Data Assimilation”. International Conference on Machine Learning (ICML), 2026.

Journal Articles

1. Yunlong Zhou, C Zhao, F Ji, et al. “More realistic and accurate precipitation nowcasting with Conditional Rectified Flow Transformers”. Engineering Applications of Artificial Intelligence (EAAI), 2026.
2. Yunlong Zhou, R Hang, F Ji, et al. “Spatiotemporal Enhanced Adversarial Network for Precipitation Nowcasting”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), 2024.
3. Z Pan, F Ji, Yunlong Zhou, et al. “Deep Precipitation Nowcasting with Dual Regions Displacement Information and Global Spatiotemporal Representations Learning”. IEEE Geoscience and Remote Sensing Letters (GRSL), 2024.

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🤝 Let’s Connect

If you have any questions, ideas for collaboration, or just want to chat about precipitation nowcasting and machine learning, please feel free to contact me via email.