秦博

指導教師：穆穆

郵箱：boqin@fudan.edu.cn

研究興趣

人工智能氣象應用💃🏿🛵、ENSO事件、東亞極端事件

教育背景

工學學士🍘，軟件工程，同濟大學，2013.09-2017.06🚴🏿，導師🏋🏼‍♂️：穆斌教授

工學博士🫰🏽，軟件工程，同濟大學，2017.09-2023.05，導師💭：穆斌教授

研究經歷

博士後    沐鸣2    2023.08至今

獲獎情況

2023年上海市“超級博士後”激勵計劃

2023年沐鸣2平台超級博士後

2023年度博士後創新人才支持計劃（博新計劃）

2023年上海市優秀畢業生

發表論文

（本人名稱加粗，通訊作者加*號）

1. Qin B, Meng F, Mu B*, and Yuan S*. CAU: A Causality Attention Unit for Spatial-temporal Sequence Forecast. IEEE Transactions on Multimedia, 2023.

2. Mu B, Qin B*, Yuan S*, Wang X, & Chen Y. PIRT: A Physics-informed Red Tide Deep Learning Forecast Model Considering Causal-inferred Predictors Selection. IEEE Geoscience and Remote Sensing Letters, 2023(20), 1–5.

3. Mu B, Qin B*, Yuan S*. ENSO-GTC: ENSO Deep Learning Forecast Model with a Global Spatial-Temporal Teleconnection Coupler. Journal of Advances in Modeling Earth Systems, 2022: e2022MS003132.

4. Mu B, Qin B*, Yuan S*. ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler. Geoscientific Model Development, 2021, 14(11): 6977-6999.

5. Mu B, Qin B, Yuan S*, Cui Y, Wang G, Qin X, & Feng X. ENSO deep learning forecast model: A survey. Clivar Exchange, 2021(81), 16–23. https://doi.org/10.36071/clivar.81.2021

6. Mu B, Qin B, Yuan S*, & Qin X. A climate downscaling deep learning model considering the multiscale spatial correlations and chaos of meteorological events. Mathematical Problems in Engineering, 2020, 2020: 1-17.

7. Yuan S, Feng X*, Mu B*, Qin B, Wang X, and Chen Y. A generative adversarial network–based unified model integrating bias correction and downscaling for global SST. Atmospheric and Oceanic Science Letters, 2023: 100407.

8. Yuan S, Liu Y, Qin B, Mu B*, and Zhang K. A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP[J]. Ocean Modelling, 2023, 184: 102213.

9. Mu B, Chen L, Yuan S*, and Qin B. A radiative transfer deep learning model coupled into WRF with a generic Fortran torch adaptor. Frontiers in Earth Science, 2023, 11: 1149566.

10. Mu B, Jiang X, Yuan S*, Cui Y, & Qin B. NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery. Atmosphere, 2023, 14(5): 792.

11. Mu B, Qin X, Yuan S*, & Qin B. Error Evolutions and Analyses on Joint Effects of SST and SL via Intermediate Coupled Models and Conditional Nonlinear Optimal Perturbation Method. Journal of Marine Science and Engineering, 2023, 11(5): 910.

12. Yuan, S, You, Q, Mu, B*, Qin, B, & Xu, J. Estimating the tropical cyclone wind structure using physics-incorporated networks. Frontiers in Earth Science, 2023, 10: 1024979.

13. Mu B, Cui Y, Yuan S*, & Qin B. Simulation, precursor analysis and targeted observation sensitive area identification for two types of ENSO using ENSO-MC v1.0. Geoscientific Model Development, 2022, 15(10): 4105-4127.

#以上信息由本人提供，更新時間：2023/12/01