Education

• Nanjing University, School of Atmospheric Sciences, 2023.09 – Present, M.Sc. Student, Advisor: Huiling Yuan

• Nanjing University of Information Science and Technology, School of Atmospheric Sciences, 2019.09 – 2023.06, B.Sc. Student, Advisor: Dongmei Xu

Work Experience

• Alibaba DAMO Academy, Intelligent Decision-Making Team, AI Algorithm Engineer Intern, 2025.07 – 2026.03

• Huawei Technologies Co., Ltd., Cloud Computing BU, AI Algorithm Engineer Intern, 2024.08 – 2024.11

Publications

• Ma, G., Chen, W., Zhao, Y., Yuan, H., & Sun, L. (2026). RainCast: A high-resolution 72-hour short-term precipitation forecasting model. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Accepted.

• Zhao, Y., Niu, P., Zhou, T., Ma, Z., Ma, G., Jin, R., Yuan, H., & Sun, L. (2026). Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling. In European Conference on Computer Vision. Accepted.

Patents

• Chinese invention patent application as first inventor: A Self-Supervised Learning-Based Training Method and System for Spatial Downscaling of Meteorological Data, Application No. 2025111524761

• Chinese invention patent as first inventor: An Intelligent Recognition Method for Millimeter-Wave Cloud Radar Echoes Based on KAN Networks, Patent No. ZL202510281809.4

• Chinese invention patent as fourth inventor: An Intelligent Filtering Method for PPI Radar Echoes Based on UNet, Patent No. ZL202510288488.0

Competition Awards

• 2nd Place, Earth Science Track, the 3rd World Scientific Intelligence Competition, Team Leader, 2025.07

• First Prize, Special Challenge Track, the 19th “Challenge Cup” National College Students’ Extracurricular Academic Science and Technology Works Competition, Team Leader, 2024.12

• Second Prize, Jiangsu Division, Python Graduate Group, the 15th Lanqiao Cup Programming Contest, 2024.05

• Second Prize, the 20th “Huawei Cup” China Graduate Mathematical Modeling Competition, 2023.12

Research Experience

Research Projects

• Jiangsu Provincial Graduate Research and Practice Innovation Program: Research on Spatial Downscaling Methods Based on Deep Learning (2024.04–2025.06; PI: Ma, G.)

• Key Project of the NSFC Meteorological Joint Fund: Research on Machine Learning Algorithms for Refined Meteorological Service Support in the Yangtze River Delta (2024.01–2027.12; PI: Huiling Yuan)

Academic Conferences

• Huiling Yuan, Ma, G., Yang Zhao. RainCast: A High-Resolution 72-Hour Short-Term Precipitation Forecasting AI Model. Oral Presentation, The 2nd Academic Symposium on Ensemble Forecasting and Prediction, Dali, Yunnan, China, 2026.05.09–12.

• Yuan, H., Ma, G. Data-Constrained Downscaling of Meteorological Fields for Extreme Weather Diagnostics. Poster Presentation, The 106th American Meteorological Society Annual Meeting, Houston, Texas, USA, 2026.01.25–29.

• Ma, G., Yang Zhao, Huiling Yuan. Multi-Source Data-Based 72-Hour High-Resolution Precipitation Forecasting. Poster Presentation (Best Poster Presentation), “AI-Empowered Hydrological Models and Intelligent Decision-Making for the Future” Academic Innovation Forum, Nanjing, Jiangsu, China, 2025.11.01.

• Ma, G., Huiling Yuan. Deep Learning-Based Downscaling Using Internal Statistics of Meteorological Fields. Poster Presentation, The 4th Nanjing University Doctoral Interdisciplinary Innovation Forum, Nanjing, Jiangsu, China, 2024.05.30.

• Ma, G., Huiling Yuan. Self-Supervised Learning for Spatial Downscaling of Meteorological Variables. Oral Presentation, The 3rd China Digital Earth Conference, Suzhou, Jiangsu, China, 2024.05.01–02.