Deep Learning for Regularly Missing Data Reconstruction. - Xintao Chai; Genyang Tang; Shangxu Wang; Ronghua Peng; Wei Chen 031; Jingnan Li (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Learning for Irregularly and Regularly Missing 3-D Data Reconstruction. - Xintao Chai; Genyang Tang; Shangxu Wang; Kai Lin; Ronghua Peng (IEEE Trans. Geosci. Remote. Sens., 2021)

An Open-Source Package for Deep-Learning-Based Seismic Facies Classification: Benchmarking Experiments on the SEG 2020 Open Data. - Xintao Chai; Wenhui Nie; Kai Lin; Genyang Tang; Taihui Yang; Junyong Yu; Wenjun Cao (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep-Learning-Based Low-Frequency Reconstruction in Full-Waveform Inversion. - Zhiyuan Gu; Xintao Chai; Taihui Yang (Remote. Sens., 2023)

PINN-Based Seismic Wavefield Simulation With Learnable Multiscale Fourier Feature Mapping and Adaptive Activation Function. - Jialin Wu; Bangyu Wu; Xintao Chai; Junxiong Jia (IEEE Geosci. Remote. Sens. Lett., 2024)

Overcoming the Spectral Bias Problem of Physics-Informed Neural Networks in Solving the Frequency-Domain Acoustic Wave Equation. - Xintao Chai; Wenjun Cao; Jianhui Li; Hang Long; Xiaodong Sun (IEEE Trans. Geosci. Remote. Sens., 2024)