Mu Bin
Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
E-Mail:
Professional Title: Professor
Academic Titles: Professor & Deputy Dean
Discipline:
Computer Science and Technology
Computer Software and Theory
Computer Applied Technology
Software Engineering
Electronic Information Engineering
Intelligent Science and technologyy
Achievements of The Thesis
- [1]Mu Bin.A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm125 London Wall, London, ENGLAND:Ocean Modelling,2024,188
- [2]Mu Bin.地球系统模式中次网格参数化方案替换方法、设备和介质2024,
- [3]Mu Bin.基于深度学习的全球热带气旋生成预测模型及其可解释性分析中国科学:地球科学,2024,54(12):3708-3733.
- [4]Mu Bin.基于深度学习的全球热带气旋生成预测模型及其可解释性分析16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA:Science China Earth Sciences,2024,67(12):3671-3695.
- [5]Mu Bin.Multivariate Upstream Kuroshio Transport (UKT) Prediction and Targeted Observation Sensitive Area Identification of UKT Seasonal Reduction125 London Wall, London, ENGLAND:Ocean Modelling,2024,189
- [6]Mu Bin.An extension to ensemble forecast of conditional nonlinear optimal perturbation considering nonlinear interaction between initial and model parametric uncertaintiesSTE 800, 230 PARK AVE, NEW YORK, NY 10169 USA:Atmospheric Research,2024,311
- [7]Mu Bin.Developing intelligent Earth System Models: An AI framework for replacing sub-modules based on incremental learning and its applicationSTE 800, 230 PARK AVE, NEW YORK, NY 10169 USA:Atmospheric Research,2024,302
- [8]Mu Bin.Toward a Learnable Climate Model in the Artificial Intelligence Era16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA:Advances in Atmospheric Sciences,2024,41(7):1281 - 1288.
- [9]Mu Bin.PIRT: A Physics-Informed Red Tide Deep Learning Forecast Model Considering Causal-Inferred Predictors Selection445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE Geoscience and Remote Sensing Letters,2023,20
- [10]Mu Bin.NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal DiscoveryAtmosphere,2023,(5):