Yanan Guo
Orcid: 0000-0001-9372-8276Affiliations:
- National University of Defense Technology, College of Meteorology and Oceanography, Changsha, China
According to our database1,
Yanan Guo authored at least 16 papers
between 2020 and 2026.
Collaborative distances:
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Bibliography
2026
PGMNO: A physics-Guided mamba neural operator framework for partial differential equations.
Neural Networks, 2026
A Novel Conditional Diffusion-Based Framework for Advanced Reconstruction of Cloud Vertical Structure.
IEEE Geosci. Remote. Sens. Lett., 2026
A Physics-Guided Hierarchical Transformer Framework for Sea Surface Temperature Forecasting and Marine Heatwave Detection.
IEEE Geosci. Remote. Sens. Lett., 2026
2025
Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions.
Entropy, 2025
Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025
Data-Driven Super-Resolution Reconstruction of Quasi-Geostrophic Turbulence Via Enhanced Diffusion Model and Fourier Neural Operator.
Proceedings of the IEEE International Conference on Data Mining, 2025
2023
Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
2021
Ensemble Empirical Mode Decomposition with Adaptive Noise with Convolution Based Gated Recurrent Neural Network: A New Deep Learning Model for South Asian High Intensity Forecasting.
Symmetry, 2021
Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method.
Entropy, 2021
2020
El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition.
Symmetry, 2020
Cloud Detection for Satellite Imagery Using Attention-Based U-Net Convolutional Neural Network.
Symmetry, 2020
Variational Principles for Two Kinds of Coupled Nonlinear Equations in Shallow Water.
Symmetry, 2020