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2020 – today
- 2025
[j3]Yuchen Luo, Xiaoqun Cao
, Kecheng Peng, Mengge Zhou, Yanan Guo:
Enhancing Robustness of Variational Data Assimilation in Chaotic Systems: An α-4DVar Framework with Rényi Entropy and α-Generalized Gaussian Distributions. Entropy 27(7): 763 (2025)- [j2]Wuyi Qiu, Shuo Ma, Xiaoqun Cao, Shensen Hu, Mengge Zhou:
A New Approach for Nighttime Sea Fog Detection Based on VIIRS/DNB Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 21549-21563 (2025) - [c5]Yanan Guo, Xiaoqun Cao, Mengge Zhou:
Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network. ICIC (21) 2025: 62-73 - 2024
- [j1]Mengge Zhou, Yonghua Li:
Digital Mapping and Scenario Prediction of Soil Salinity in Coastal Lands Based on Multi-Source Data Combined with Machine Learning Algorithms. Remote. Sens. 16(14): 2681 (2024) - 2023
- [c4]Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wei Dong, Wenlong Tian, Mengge Zhou:
An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. ICANN (5) 2023: 230-242 - [c3]Yanan Guo, Xiaoqun Cao, Kecheng Peng, Wenlong Tian, Mengge Zhou:
Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning. ICIC (2) 2023: 235-246 - [c2]Yanan Guo, Xiaoqun Cao, Mengge Zhou, Kecheng Peng, Wenlong Tian:
Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. ICONIP (7) 2023: 290-302 - [c1]Yanan Guo, Xiaoqun Cao, Wei Dong, Kecheng Peng, Wenlong Tian, Mengge Zhou:
Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator. SMC 2023: 13-18
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