Shijun Cheng

According to our database, Shijun Cheng authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation.

Shijun Cheng, Tariq Alkhalifah

CoRR, June, 2025

A generative foundation model for an all-in-one seismic processing framework.

Shijun Cheng, Randy Harsuko, Tariq Alkhalifah

CoRR, February, 2025

Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network.

Shijun Cheng, Tariq Alkhalifah

CoRR, February, 2025

Well- and Structure-Constrained Initial Velocity Building for Full-Waveform Inversion via a Generative Diffusion Model.

Qingchen Zhang, Shijun Cheng, Wei Chen, Weijian Mao

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

Self-Supervised Seismic Resolution Enhancement.

Shijun Cheng, Haoran Zhang, Tariq Alkhalifah

IEEE Trans. Geosci. Remote. Sens., 2025

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

Gabor-Based Learnable Sparse Representation for Self-Supervised Denoising.

Sixiu Liu, Shijun Cheng, Tariq Alkhalifah

IEEE Trans. Geosci. Remote. Sens., 2024

Propagating the prior from shallow to deep with a pre-trained velocity-model Generative Transformer network.

Randy Harsuko, Shijun Cheng, Tariq Alkhalifah

CoRR, 2024

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

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

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

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

Well-Guided Multisource Elastic Full-Waveform Inversion.

Qingqing Li, Qingchen Zhang, Qizhen Du, Shijun Cheng

IEEE Trans. Geosci. Remote. Sens., 2022

Deep-Learning-Based Seismic Variable-Size Velocity Model Building.

Meng Du, Shijun Cheng, Weijian Mao

IEEE Geosci. Remote. Sens. Lett., 2022