秦博

指导教师：穆穆

邮箱：boqin@fudan.edu.cn

研究兴趣

人工智能气象应用、ENSO事件、东亚极端事件

教育背景

工学学士，软件工程，同济大学，2013.09-2017.06，导师：穆斌教授

工学博士，软件工程，同济大学，2017.09-2023.05，导师：穆斌教授

研究经历

博士后    复旦大学大气与海洋科学系    2023.08至今

获奖情况

2023年上海市“超级博士后”激励计划

2023年复旦大学超级博士后

2023年度博士后创新人才支持计划（博新计划）

2023年上海市优秀毕业生

发表论文

（本人名称加粗，通讯作者加*号）

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，更新时间：2023/12/01