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.CAU: A Causality Attention Unit for Spatial-temporal Sequence ForecastIEEE Transactions on Multimedia,2023,1-15.
- [2]Mu Bin.Estimating the tropical cyclone wind structure using physics-incorporated networksFrontiers in Earth Science,2023,
- [3]Mu Bin.A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptorFrontiers in Earth Science,2023,
- [4]Mu Bin.Error Evolutions and Analyses on Joint Effects of SST and SL via Intermediate Coupled Models and Conditional Nonlinear Optimal Perturbation MethodJournal of Marine Science and Engineering,2023,(5):
- [5]Mu Bin.A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOPOcean Modelling,2023,
- [6]Mu Bin.A generative adversarial network–based unified model integrating bias correction and downscaling for global SSTAtmospheric and Oceanic Science Letters,2023,
- [7]Mu Bin.Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbationComputers and Geosciences,2023,
- [8]Mu Bin.国家自然科学基金大气科学学科二级申请代码下设研究方向与关键词解读:D0510大气数据与信息技术大气科学,2023,47(01):185-193.
- [9]Mu Bin.IceTFT v1.0.0: interpretable long-term prediction of Arctic sea ice extent with deep learningBAHNHOFSALLEE 1E, GOTTINGEN, 37081, GERMANY:Geoscientific Model Development,2023,16(16):4677 - 4697.
- [10]Mu Bin.The NAO Variability Prediction and Forecasting with Multiple Time Scales Driven by ENSO Using Machine Learning ApproachesComputational Intelligence and Neuroscience,2022,6141966-6141966.