An Efficient Approximation Method Based on Enhanced Physics-Informed Neural Networks for Solving Localized Wave Solutions of PDEs. - Yanan Guo 006; Xiaoqun Cao; Kecheng Peng; Wei Dong; Wenlong Tian; Mengge Zhou (ICANN (5), 2023)

Surrogate Modeling for Soliton Wave of Nonlinear Partial Differential Equations via the Improved Physics-Informed Deep Learning. - Yanan Guo 006; Xiaoqun Cao; Kecheng Peng; Wenlong Tian; Mengge Zhou (ICIC (2), 2023)

Solving Localized Wave Solutions of the Nonlinear PDEs Using Physics-Constraint Deep Learning Method. - Yanan Guo 006; Xiaoqun Cao; Mengge Zhou; Kecheng Peng; Wenlong Tian (ICONIP (7), 2023)

Learning Rogue Waves of Nonlinear Schrödinger Equation with Enhanced Physics-Informed Neural Networks Simulator. - Yanan Guo 006; Xiaoqun Cao; Wei Dong; Kecheng Peng; Wenlong Tian; Mengge Zhou (SMC, 2023)

Digital Mapping and Scenario Prediction of Soil Salinity in Coastal Lands Based on Multi-Source Data Combined with Machine Learning Algorithms. - Mengge Zhou; Yonghua Li (Remote. Sens., 2024)

Solving Seismic Wave Propagation Using an Adaptive Collocation Point-Based Physics-Informed Neural Network. - Yanan Guo 006; Xiaoqun Cao; Mengge Zhou (ICIC (21), 2025)

A New Approach for Nighttime Sea Fog Detection Based on VIIRS/DNB Data. - Wuyi Qiu; Shuo Ma 003; Xiaoqun Cao; Shensen Hu; Mengge Zhou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)