百晓学者学者目录

穆斌

副教授、副研究员、助理教授、博导、教授、研究员、讲师,同济大学

精选作品

期刊论文

2026

海气耦合资料同化对北大西洋涛动中期预报的改进

Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan, Bo Qin, Guo-Kun Dai

SCIENTIA SINICA Terrae

2026

Improving S2S Precipitation Forecast over China via a Deep Learning Model with Multi-Sphere Causality-Linked Predictors

Bin Mu, Hao Guo, Shi-Jin Yuan, Yu-Xin Chen, Yuehan Cui, Yan-Jun Huang

Journal of Meteorological Research

2026

A Multi-View Sequence Fusion Network for Improving Tropical Cyclone Intensity Estimation

Shi-Jin Yuan, Guan-Song Wang, Ya-Ke Zhang, Bin Mu, Fei-Fan Zhou

Journal of Meteorological Research

2026

ENSO‐CausalNet: Integrating Causal Inference Into Deep Learning for Robust ENSO Prediction

Yuehan Cui, Bin Mu, Shi-Jin Yuan, Bo Qin

Geophysical Research Letters

2026

ENSO probability forecasting by diffusing multi-intelligent models

Bin Mu, Yong Jiang, Shi-Jin Yuan, Bo Qin, Yan-Jun Huang, Hua Jiang, Xing-Rong Chen

Ocean Modelling

2026

Enhancing Tropical Cyclone Prediction Through AI Weather Model Ensemble Forecasts and Multi‐Source Data Integration

Shi-Jin Yuan, Guan-Song Wang, Bin Mu, Fei-Fan Zhou, Hao Li, Ya-Ke Zhang

Earth and Space Science

2026

Coupled atmosphere-ocean data assimilation for enhanced medium-range prediction of the North Atlantic Oscillation

Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan, Bo Qin, G. Dai

Science China. Earth Sciences

2026

DecGAN: A bias correction and downscaling deep‐learning model for numerical predictions with applications to sea surface temperature in the Pacific and precipitation in Asia

Shi-Jin Yuan, Xin Feng, Bin Mu, Bo Qin, Shou-Wen Zhang, Hua Jiang

Quarterly Journal of the Royal Meteorological Society

2026

AI for atmosphere–ocean sciences: advancements, challenges and ways forward

Jing-jia Luo, Jiangjiang Xia, Baoxiang Pan, Yoo-Geun Ham, Xiao-Feng Li, W. Shangguan, Wei Xue, Ya-Qiang Wang, Bin Mu, Youngjoon Hong, Hao Li, Xiao-Hui Zhong, Kan Dai, Lei Bai, Feng-Hua Ling, Niklas Boers, C. Bretherton, Bin Chen, Dongjin Cho, Pierre Gentine, Zijie Guo, Xiaomeng Huang, Daehyun Kang, Hyunwoo Kim, Jeong-Hwan Kim, L. Lei, Fan Meng, Seol-Hee Oh, Bo Qin, Zixiong Shen, Qiming Sun, Yu-Heng Tang, Xuan Tong, Bing-Cheng Wan, Lina Wang, Ya Wang, Yi-Ming Wang, Jiye Wu, Yi Xiao, Li-Na Yao, Song Yang, Chaoxia Yuan, Shi-Jin Yuan, Tingzhao Yu, Mengchu Zhao

National Science Review

2026

A Machine-Learning-Driven Physics-Informed Variational Framework for Intelligent ENSO Ensemble Prediction

Yong Jiang, Bin Mu, Bo Qin, Shijin Yuan

Communications in computer and information science

2025

气候变化背景下“AI+气象”复合型人才培养探索与实践

袁时金,陈宇轩,穆斌

《大学教育》

2025

Developing Intelligent Earth System Models : An AI scheme of K-profile parameterization and stable coupling into CESM with FTA

Bin Mu, Kang-chung Yang, Bo Qin, Hao Li, Shi-Jin Yuan

Ocean Modelling

2025

An Interpretable NAO Daily Prediction Model Considering Weighted Causal Effects of Physical Processes

Shi-Jin Yuan, Haoyu Wu, Bin Mu, Yuehan Cui, Bo Qin, Hao Li

Journal of Meteorological Research

2025

Skillful Subseasonal-to-Seasonal Forecasting of Extreme Events with a Multi-Sphere Coupled Probabilistic Model

Bin Mu, Yu-Xin Chen, Shi-Jin Yuan, Bo Qin, Hao Guo

arXiv.org

2025

Prediction of the summertime Northwest Pacific subtropical high based on ConvLSTM

Fei Yang, Jing Ma, Hong-Xia Lan, Bin Mu, Shi-Jin Yuan, Jing-Jia Luo

Atmospheric and Oceanic Science Letters

2025

A Deep Learning–Based Bias Correction Model for Tropical Cyclone Track and Intensity towards Forecasting of the TianXing Large Weather Model

Shi-Jin Yuan, Xingzhou Wang, Bin Mu, Guan-Song Wang, Ze-Yi Niu, Hao Li

Advances in Atmospheric Sciences

2025

EAAC-S2S: East Asian Atmospheric Circulation S2S Forecasting with a Deep Learning Model Considering Multi-Sphere Coupling

Bin Mu, Yu-Xin Chen, Shi-Jin Yuan, Bo Qin, Zhen-Chen Liu

Advances in Atmospheric Sciences

2025

AI Weather and Climate Prediction and Applications

Chih-Pei Chang, Bin Mu, Wei Han, Yoo-Geun Ham, Guang J. Zhang, Alessandro Damiani, Fenghua Ling, Takemasa Miyoshi

Bulletin of The American Meteorological Society - (BAMS)

2024

Multivariate Upstream Kuroshio Transport (UKT) Prediction and Targeted Observation Sensitive Area Identification of UKT Seasonal Reduction

Bin Mu, Yifan Yang-Hu, Bo Qin, Shi-Jin Yuan

Ocean Modelling

2024

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

Bin Mu, Xin Wang, Yuanshi Jin, Yu-Xin Chen, Guan-Song Wang, Bo Qin, Guanbo Zhou

SCIENTIA SINICA Terrae

2024

A deep learning-based bias correction model for Arctic sea ice concentration towards MITgcm

Shi-Jin Yuan, Shichen Zhu, Xiaodan Luo, Bin Mu

Ocean Modelling

2024

A deep learning-based global tropical cyclogenesis prediction model and its interpretability analysis

Bin Mu, Xin Wang, Shi-Jin Yuan, Yu-Xin Chen, Guan-Song Wang, Bo Qin, Guanbo Zhou

Science China. Earth Sciences

2024

An extension to ensemble forecast of conditional nonlinear optimal perturbation considering nonlinear interaction between initial and model parametric uncertainties

Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan, Xing-rong Chen, Bo Qin, Guo-Kun Dai

Atmospheric research

2024

Developing intelligent Earth System Models: An AI framework for replacing sub-modules based on incremental learning and its application

Bin Mu, Zi-Jun Zhao, Shi-Jin Yuan, Bo Qin, Guo-Kun Dai, Guanhua Zhou

Atmospheric research

2024

TianXing: A Linear Complexity Transformer Model with Explicit Attention Decay for Global Weather Forecasting

Shi-Jin Yuan, Guan-Song Wang, Bin Mu, Fei-Fan Zhou

Advances in Atmospheric Sciences

2024

Incorporating heat budget dynamics in a Transformer-based deep learning model for skillful ENSO prediction

Bin Mu, Yuehan Cui, Shi-Jin Yuan, Bo Qin

npj Climate and Atmospheric Science

2024

Toward a Learnable Climate Model in the Artificial Intelligence Era

Gang Huang, Ya Wang, Yoo-Geun Ham, Bin Mu, Wei-Chen Tao, Chaoyang Xie

Advances in Atmospheric Sciences

2024

CAU: A Causality Attention Unit for Spatial-Temporal Sequence Forecast

Bo Qin, Fan-Qing Meng, Shi-Jin Yuan, Bin Mu

IEEE transactions on multimedia

2023

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

黄小猛,郑飞,杨犇,穆斌,周勇,罗京佳

《大气科学》

2023

A paralleled embedding high-dimensional Bayesian optimization with additive Gaussian kernels for solving CNOP

Shi-Jin Yuan, Yaxuan Liu, Bo Qin, Bin Mu, Kun Zhang

Ocean Modelling

2023

IceTFT v1.0.0: interpretable long-term prediction of Arctic sea ice extent with deep learning

Bin Mu, Xiaodan Luo, Shi-Jin Yuan, Xi Liang

Geoscientific Model Development

2023

NAO Seasonal Forecast Using a Multivariate Air–Sea Coupled Deep Learning Model Combined with Causal Discovery

Bin Mu, Xingjian Jiang, Shi-Jin Yuan, Yuehan Cui, Bo Qin

Atmosphere

2023

A Generative Adversarial Network–based unified model integrating bias correction and downscaling for global SST

Shi-Jin Yuan, Xinyu Feng, Bin Mu, Bo Qin, X. Wang, Yu-Xin Chen

Atmospheric and Oceanic Science Letters

2023

Error Evolutions and Analyses on Joint Effects of SST and SL via Intermediate Coupled Models and Conditional Nonlinear Optimal Perturbation Method

Bin Mu, Xiao Qin, Shi-Jin Yuan, Bo Qin

Journal of Marine Science and Engineering

2023

Dimension shifting based intelligent algorithm framework to solve conditional nonlinear optimal perturbation

Shi-Jin Yuan, Yaxuan Liu, Huazhen Zhang, Bin Mu

Computational Geosciences

2023

PIRT: A Physics-Informed Red Tide Deep Learning Forecast Model Considering Causal-Inferred Predictors Selection

Bin Mu, Bo Qin, Shi-Jin Yuan, X. Wang, Yuxuan Chen

IEEE Geoscience and Remote Sensing Letters

2023

A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptor

Bin Mu, Lumeng Chen, Shi-Jin Yuan, Bo Qin

Frontiers in Earth Science

2023

Estimating the tropical cyclone wind structure using physics-incorporated networks

Shi-Jin Yuan, Qianhui You, Bin Mu, Bo Qin, Jing Xu

Frontiers in Earth Science

2023

Comment on gmd-2022-293

Bin Mu, Luo, Xiaodan, Shijin Yuan, Xi Liang

2022

Ensemble Forecast for Tropical Cyclone Based on CNOP-P Method: A Case Study of WRF Model and Two Typhoons

Shi-Jin Yuan, Bo Shi, Zi-Jun Zhao, Bin Mu, Fei-Fan Zhou, W. Duan

《热带气象学报(英文版)》

2022

ENSO‐GTC: ENSO Deep Learning Forecast Model With a Global Spatial‐Temporal Teleconnection Coupler

Bin Mu, Bo Qin, Shi-Jin Yuan

Journal of Advances in Modeling Earth Systems

2022

Simulation, Precursor Analysis and Targeted Observation Sensitive Area Identification for Two Types of ENSO using ENSO-MC v1.0

Bin Mu, Y. Cui, Shi-Jin Yuan, Bo Qin

Geoscientific Model Development

2022

The NAO Variability Prediction and Forecasting with Multiple Time Scales Driven by ENSO Using Machine Learning Approaches

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo

Computational Intelligence and Neuroscience

2022

Optimal Precursors Identification for North Atlantic Oscillation Using the Parallel Intelligence Algorithm

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

Scientific Programming

2022

Feature extraction-based intelligent algorithm framework with neural network for solving conditional nonlinear optimal perturbation

Shi-Jin Yuan, Huazhen Zhang, Yaxuan Liu, Bin Mu

Soft Computing - A Fusion of Foundations, Methodologies and Applications

2022

Comment on gmd-2021-396

Bin Mu, Yuehan Cui, Shijin Yuan, Bo Qin

2021

The ELM Model with Residual Compensation Based on ARIMA for North Atlantic Oscillation Index Prediction

Xiaodan Luo, Shi-Jin Yuan, Bin Mu, Jing Li

International Conference on Image, Video and Signal Processing

2021

Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method

Shi-Jin Yuan, Cheng Wang, Bin Mu, Fei-Fan Zhou, W. Duan

Algorithms

2021

An Improved Continuous Tabu Search Algorithm with Adaptive Neighborhood Radius and Increasing Search Iteration Times Strategies

Shi-Jin Yuan, Yunjia Xu, Bin Mu, Linlin Zhang, Ju-Hui Ren, Shaoyang Ma, W. Duan

Int. J. Artif. Intell. Tools

2021

ENSO-ASC 1.0.0: ENSO deep learning forecast model with a multivariate air–sea coupler

Bin Mu, Bo Qin, Shijin Yuan

Geoscientific model development

2021

Reply on AC3

Bin Mu, Bo Qin, Shijin Yuan

2021

Comment on gmd-2021-213

Bin Mu, Bo Qin, Shijin Yuan

2020

“数据库课程设计”课程的实践教学方法探索

袁时金,施博,穆斌,林冰轩,王彩霞,杨丹

《工业和信息化教育》

2020

A Climate Downscaling Deep Learning Model considering the Multiscale Spatial Correlations and Chaos of Meteorological Events

Bin Mu, Bo Qin, Shi-Jin Yuan, Xiaoyun Qin

2020

Applying Convolutional LSTM Network to Predict El Niño Events: Transfer Learning from The Data of Dynamical Model and Observation

Bin Mu, Shaoyang Ma, Shi-Jin Yuan, Hui Xu

IEEE International Conference on Electronics Information and Emergency Communication

2020

Multi-Scale Downscaling with Bayesian Convolution Network for ENSO SST Pattern

Bin Mu, Bo Qin, Shi-Jin Yuan

2020 5th International Conference on Electromechanical Control Technology and Transportation (ICECTT)

2020

Interactive comment on “Optimal Precursors Identification for North Atlantic Oscillation using CESM and CNOP Method” by Bin Mu et al

Bin Mu

2020

CNOP-P-Based Parameter Sensitivity Analysis for North Atlantic Oscillation in Community Earth System Model Using Intelligence Algorithms

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

2020

Prediction of North Atlantic Oscillation Index Associated with the Sea Level Pressure Using DWT-LSTM and DWT-ConvLSTM Networks

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo

Mathematical Problems in Engineering

2020

Data Assimilation by Artificial Neural Network using Conventional Observation for WRF Model

Shi-Jin Yuan, Bo Shi, Bin Mu

International Conference on Machine Learning Technologies

2020

Optimal Precursors Identification for North Atlantic Oscillation using CESM and CNOP Method

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

2019

深度学习在气象领域的应用课程的建设方案

穆斌,马少阳,袁时金,林冰轩,杨丹

《中国信息技术教育》

2019

INTELLIGENT ALGORITHMS FOR SOLVING CNOP AND THEIR APPLICATIONS IN ENSO PREDICTABILITY AND TROPICAL CYCLONE ADAPTIVE OBSERVATIONS

穆斌,张琳琳,袁时金,钱一闻,温仕成,颜景豪,周菲凡

Journal of Tropical Meteorology

2019

PL/SQL编程实践教学方法探索

袁时金,穆斌,林冰轩,王彩霞,杨丹

《教育现代化》

2019

Prediction of North Atlantic Oscillation Index with Convolutional LSTM Based on Ensemble Empirical Mode Decomposition

Shi-Jin Yuan, Xiaodan Luo, Bin Mu, Jing Li, G. Dai

Atmosphere

2019

A Parallel Hybrid Intelligence Algorithm for Solving Conditional Nonlinear Optimal Perturbation to Identify Optimal Precursors of North Atlantic Oscillation

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

2019

ENSO Forecasting over Multiple Time Horizons Using ConvLSTM Network and Rolling Mechanism

Bin Mu, Cheng Peng, Shi-Jin Yuan, Lei Chen

IEEE International Joint Conference on Neural Network

2019

CNOP-P-based parameter sensitivity for double-gyre variation in ROMS with simulated annealing algorithm

Shi-Jin Yuan, Huazhen Zhang, Mi Li, Bin Mu

Journal of Oceanology and Limnology

2019

Parallel PCA-Based Bacterial Foraging Optimization Algorithm for Identifying Optimal Precursors of North Atlantic Oscillation

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

2019

The Optimal Precursors for ENSO Events Depicted Using the Gradient-definition-based Method in an Intermediate Coupled Model

Bin Mu, Ju-Hui Ren, Shi-Jin Yuan, Rong-Hua Zhang, Lei Chen, Chuan Gao

Advances in Atmospheric Sciences

2019

Interactive comment on “CNOP based on ACPW for Identifying Sensitive Regions of Typhoon Target Observations with WRF Model” by Bin Mu et al.

Bin Mu

2019

NAO Index Prediction using LSTM and ConvLSTM Networks Coupled with Discrete Wavelet Transform

Bin Mu, Jing Li, Shi-Jin Yuan, Xiaodan Luo, G. Dai

IEEE International Joint Conference on Neural Network

2019

Optimal precursors of double-gyre regime transitions with an adjoint-free method

Shi-Jin Yuan, Mi Li, Qiang Wang, Kun Zhang, Huazhen Zhang, Bin Mu

Journal of Oceanology and Limnology

2019

CNOP based on ACPW for Identifying Sensitive Regions of Typhoon Target Observations with WRF Model

Bin Mu, Linlin Zhang, Shi-Jin Yuan, W. Duan

2018

Identifying Typhoon Targeted Observations Sensitive Areas Using the Gradient Definition Based Method

Bin Mu, Ju-Hui Ren, Shi-Jin Yuan, Fei-Fan Zhou

Asia-Pacific Journal of Atmospheric Sciences

2018

A novel approach for solving CNOPs and its application in identifying sensitive regions of tropical cyclone adaptive observations

Linlin Zhang, Bin Mu, Shi-Jin Yuan, Fei-Fan Zhou

Nonlinear Processes in Geophysics

2018

A Novel Approach for Solving CNOP and its Application in Identifying Sensitive Regions of Tropical Cyclone Adaptive Observations

Linlin Zhang, Bin Mu, Shi-Jin Yuan, Fei-Fan Zhou

2017

Parallel dynamic search fireworks algorithm with linearly decreased dimension number strategy for solving conditional nonlinear optimal perturbation

Jinghao Yan, Shi-Jin Yuan, Junhui Zhao, Bin Mu

IEEE International Joint Conference on Neural Network

2017

An Efficient Approach Based on the Gradient Definition for Solving Conditional Nonlinear Optimal Perturbation

Bin Mu, Ju-Hui Ren, Shi-Jin Yuan

2017

CNOP-based sensitive areas identification for tropical cyclone adaptive observations with PCAGA method

Linlin Zhang, Shi-Jin Yuan, Bin Mu, Fei-Fan Zhou

Asia-Pacific Journal of Atmospheric Sciences

2017

CACO-LD: Parallel Continuous Ant Colony Optimization with Linear Decrease Strategy for Solving CNOP

Shi-Jin Yuan, Yun-Yi Chen, Bin Mu

International Conference on Neural Information Processing

2016

Parallel Modified Artificial Bee Colony Algorithm for Solving Conditional Nonlinear Optimal Perturbation

Ju-Hui Ren, Shi-Jin Yuan, Bin Mu

2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

2016

PCAFP for Solving CNOP in Double-Gyre Variation and Its Parallelization on Clusters

Shi-Jin Yuan, Mi Li, Bin Mu, Jingpeng Wang

2016 IEEE 18th International Conference on High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

2016

条件付き非線形最適摂動を解くための並列改良型人工的ミツバチコロニーアルゴリズム【Powered by NICT】

Ju-Hui Ren, Shi-Jin Yuan, Bin Mu

2015

Parallel Cooperative Co-evolution Based Particle Swarm Optimization Algorithm for Solving Conditional Nonlinear Optimal Perturbation

Shi-Jin Yuan, Li Zhao, Bin Mu

International Conference on Neural Information Processing

2015

PCGD: Principal components-based great deluge method for solving CNOP

Shicheng Wen, Shi-Jin Yuan, Bin Mu, Hongyu Li, Ju-Hui Ren

IEEE Congress on Evolutionary Computation

2015

PCAGA: Principal component analysis based genetic algorithm for solving conditional nonlinear optimal perturbation

Bin Mu, Linlin Zhang, Shi-Jin Yuan, Hongyu Li

IEEE International Joint Conference on Neural Network

2015

A Parallel Sensitive Area Selection-Based Particle Swarm Optimization Algorithm for Fast Solving CNOP

Shi-Jin Yuan, Feng Ji, Jinghao Yan, Bin Mu

International Conference on Neural Information Processing

2015

Parallel Dynamic Step Size Sphere-Gap Transferring Algorithm for Solving Conditional Nonlinear Optimal Perturbation

Shi-Jin Yuan, Jinghao Yan, Bin Mu, Hongyu Li

2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems

2015

Robust ensemble feature extraction for solving conditional nonlinear optimal perturbation

Shicheng Wen, Shi-Jin Yuan, Hongyu Li, Bin Mu

Int. J. Comput. Sci. Eng.

2015

Paralleled Continuous Tabu Search Algorithm with Sine Maps and Staged Strategy for Solving CNOP

Shi-Jin Yuan, Yiwen Qian, Bin Mu

International Conference on Algorithms and Architectures for Parallel Processing

2015

PPSO: PCA based particle swarm optimization for solving conditional nonlinear optimal perturbation

Bin Mu, Shicheng Wen, Shi-Jin Yuan, Hongyu Li

Computational Geosciences

2015

Robust PCA-Based Genetic Algorithm for Solving CNOP

Shicheng Wen, Shi-Jin Yuan, Bin Mu, Hongyu Li

International Conference on Intelligent Computing

2014

Orthogonal Neighborhood Preservation Projection Based Method for Solving CNOP

Bin Mu, Shicheng Wen, Shi-Jin Yuan, Hongyu Li

International Conference on Intelligent Computing

2014

SAEP: Simulated Annealing Based Ensemble Projecting Method for Solving Conditional Nonlinear Optimal Perturbation

Shicheng Wen, Shi-Jin Yuan, Bin Mu, Hongyu Li, Lei Chen

International Conference on Algorithms and Architectures for Parallel Processing

预印本

2025

A Year-round 22 KM Pan-Arctic Sea Ice Thickness Dataset: Fusing Numerical Model Data and Satellite Retrieval Data

Huijuan Zhang, Zijing Chen, Shijin Yuan, Bin Mu, Bo Qin

SSRN Electronic Journal

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