Deep-Learning-Based Seismic Variable-Size Velocity Model Building. - Meng Du; Shijun Cheng; Weijian Mao (IEEE Geosci. Remote. Sens. Lett., 2022)

Well-Guided Multisource Elastic Full-Waveform Inversion. - Qingqing Li; Qingchen Zhang 002; Qizhen Du; Shijun Cheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Born Scattering Integral, Scattering Radiation Pattern, and Generalized Radon Transform Inversion in Acoustic Tilted Transversely Isotropic Media. - Quan Liang; Wei Ouyang; Weijian Mao; Shijun Cheng; Xuelei Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Parameter True-Amplitude Generalized Radon Transform Inversion for Acoustic Transversely Isotropic Media With a Vertical Symmetry Axis. - Wei Ouyang; Quan Liang; Weijian Mao; Shijun Cheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Elastic Seismic Imaging Enhancement of Sparse 4C Ocean-Bottom Node Data Using Deep Learning. - Shijun Cheng; Xingchen Shi; Weijian Mao; Tariq Alkhalifah; Tao Yang; Yuzhu Liu; Heping Sun (IEEE Trans. Geosci. Remote. Sens., 2023)

Multiparameter Acoustic Inversion for Variable-Tilt Transversely Isotropic Media With Generalized Radon Transform. - Wei Ouyang; Quan Liang; Weijian Mao; Shijun Cheng (IEEE Trans. Geosci. Remote. Sens., 2023)

Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network. - Randy Harsuko; Shijun Cheng; Tariq Alkhalifah (CoRR, 2024)

Gabor-Based Learnable Sparse Representation for Self-Supervised Denoising. - Sixiu Liu; Shijun Cheng; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2024)

Generative Diffusion Model for Seismic Imaging Improvement of Sparsely Acquired Data and Uncertainty Quantification. - Xingchen Shi; Shijun Cheng; Weijian Mao; Wei Ouyang (IEEE Trans. Geosci. Remote. Sens., 2024)

Self-Supervised Seismic Resolution Enhancement. - Shijun Cheng; Haoran Zhang; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2025)

SeparationPINN: Physics-Informed Neural Networks for Seismic P- and S-Wave Mode Separation. - Xinru Mu; Shijun Cheng; Tariq Alkhalifah (IEEE Trans. Geosci. Remote. Sens., 2025)

Well- and Structure-Constrained Initial Velocity Building for Full-Waveform Inversion via a Generative Diffusion Model. - Qingchen Zhang 002; Shijun Cheng; Wei Chen 031; Weijian Mao (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network. - Shijun Cheng; Tariq Alkhalifah (CoRR, 2025)

A generative foundation model for an all-in-one seismic processing framework. - Shijun Cheng; Randy Harsuko; Tariq Alkhalifah (CoRR, 2025)

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation. - Shijun Cheng; Tariq Alkhalifah (CoRR, 2025)