Variational Principles for Two Kinds of Coupled Nonlinear Equations in Shallow Water. - Xiao-Qun Cao; Yanan Guo 006; Shi-Cheng Hou; Cheng-Zhuo Zhang; Ke-Cheng Peng (Symmetry, 2020)

El Niño Index Prediction Using Deep Learning with Ensemble Empirical Mode Decomposition. - Yanan Guo 006; Xiao-Qun Cao; Bainian Liu; Kecheng Peng (Symmetry, 2020)

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. - Kecheng Peng; Xiaoqun Cao; Bainian Liu; Yanan Guo 006; Chaohao Xiao; Wenlong Tian (Entropy, 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. - Kecheng Peng; Xiaoqun Cao; Bainian Liu; Yanan Guo 006; Wenlong Tian (Symmetry, 2021)

Position Error Correction for Satellite Precipitation Products Using Image Registration based on Unsupervised Learning. - Wenlong Tian; Xiaoqun Cao; Xiaoyong Li 002; Kecheng Peng (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

Technology for Position Correction of Satellite Precipitation and Contributions to Error Reduction - A Case of the '720' Rainstorm in Henan, China. - Wenlong Tian; Xiaoqun Cao; Kecheng Peng (Sensors, 2022)

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)

Application of Improved Physics-Informed Deep Learning Based on Activation Function for Solving Nonlinear Soliton Equation. - Yanan Guo 006; Xiaoqun Cao; Kecheng Peng (IJCNN, 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)

Validation of ERA5 Boundary Layer Meteorological Variables by Remote-Sensing Measurements in the Southeast China Mountains. - Yiming Wei; Kecheng Peng; Yongjing Ma; Yankun Sun; Dandan Zhao; Xinbing Ren; Simin Yang; Masroor Ahmad; Xiaole Pan; Zifa Wang; Jinyuan Xin (Remote. Sens., 2024)

High-Resolution Remote Sensing of the Gradient Richardson Number in a Megacity Boundary Layer. - Simin Yang; Yongjing Ma; Wenyu Zhang; Xinbing Ren; Kecheng Peng; Masroor Ahmad; Danjie Jia; Dandan Zhao; Lingbin Kong; Yining Ma; Jinyuan Xin (Remote. Sens., 2024)