I am currently an M.S. student at the College of Atmospheric Sciences, Lanzhou University (兰州大学), supervised by Prof. Jiankai Zhang (张健恺教授). From 2025 to 2026, I am also a visiting student at the Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP, CAS), where I work with Associate Prof. Baoxiang Pan (潘宝祥副研究员) on the application of video diffusion models to meteorological forecasting. I received my B.S. in Information and Computing Science from Central South University of Forestry and Technology in 2024, where I was supervised by Associate Prof. Hui Liu (刘晖副教授).
My research focuses on the intersection of artificial intelligence and atmospheric science, with particular interests in video prediction, video diffusion models, weather and climate modeling, precipitation nowcasting, and spatiotemporal predictive learning. I am especially interested in developing learning-based approaches for complex atmospheric processes and extreme event prediction.
🔥 News
- 2026: Published GMG: A Video Prediction Method Based on Global Focus and Motion Guided in IEEE Transactions on Circuits and Systems for Video Technology.
- 2025: Worked as a visiting student at the Institute of Atmospheric Physics, Chinese Academy of Sciences.
- 2025: Published A Global Spatial–Temporal Attention Method Based on Motion Decomposition for Precipitation Nowcasting in Applied Soft Computing.
- 2025: Published Predicting Sudden Stratospheric Warmings Using Video Prediction Methods in Geophysical Research Letters.
📝 Publications

GMG: A Video Prediction Method Based on Global Focus and Motion Guided
Y. Du, H. Liu, H. Peng, X. Cheng, C. Wu, J. Zhang
IEEE Transactions on Circuits and Systems for Video Technology, 36(6), 8048-8063, 2026
Journal Info (2025): IF 11.1 JCR Q1 CCF B
- A video prediction method that integrates global focus and motion-guided modeling for spatiotemporal prediction tasks.
- Achieve new SOTA on MovingMNIST, TaxiBJ, CIKM2017, Shanghai2020, T2M and Typhoon Datasets.

Y. Du, Y. Li, Z. Zeng, H. Liu, J. Zhang
Applied Soft Computing, 180, 113314, 2025
Journal Info (2025): IF 6.6 JCR Q1
- A global spatiotemporal attention framework based on motion decomposition for precipitation nowcasting.
-
When the Past Matters: FlashBack Memory for Precipitation Nowcasting
Y. Du, B. Huang, C. Wu, J. Zhang
Preprint -
Predicting Sudden Stratospheric Warmings Using Video Prediction Methods
Y. Du, J. Zhang, X. Cheng, Y. Lu, D. Li, W. Tian
Geophysical Research Letters, 52(8), e2024GL113993, 2025
Journal Info (2025): IF 4.6 JCR Q1 Nature Index Journal -
DCSwinLSTM for Spatiotemporal Meteorological Drought Forecasting
H. Peng, C. Wu, Y. Du, H. Liu
iScience, 29(6), 115902, 2026
Journal Info (2025): IF 4.1 JCR Q1 -
A New Hybrid Prediction Method of El Niño/La Niña Events by Combining TimesNet and ARIMA
Y. Du, Y. Li, H. Liu
IEEE Access, 11, 106347–106360, 2023
Journal Info (2025): IF 3.6 JCR Q2
🎖 Honors and Awards
- 2025: National Scholarship for Master’s Students (Top 1%).
- 2024: Hunan Provincial Outstanding Graduates.
- 2023: TaoZhu Scholarship (Top 1%).
- 2023: Finalist, Mathematical Contest in Modeling / Interdisciplinary Contest in Modeling (MCM/ICM) (Top 1%).
- 2023: National Undergraduate Innovation and Entrepreneurship Training Program Project.
📖 Educations
- 2024.09 - 2027.06 (expected), Lanzhou University, College of Atmospheric Sciences, M.S. Student. Advisor: Prof. Jiankai Zhang.
- 2020.09 - 2024.06, Central South University of Forestry and Technology, School of Computer Science and Mathematics, B.S. in Information and Computing Science. Advisor: Associate Prof. Hui Liu.
- 2017.09 - 2020.06, Nan chang No.2 Middle School.
🔬 Academic Exchanges
- 2025.07, AOGS2025, Poster, Singapore
- 2025, Visiting Student, Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP, CAS), China. Advisor: Associate Prof. Baoxiang Pan.
Academic Services
- Reviewer for ICASSP 2026
- Reviewer for ICME 2025
- Reviewer for IEEE AVSS 2025
- Reviewer for Geophysical Research Letters (GRL)
- Reviewer for Journal of Geophysical Research – Machine Learning
- Reviewer for IET Computer Vision