Stochastic seismic inversion based on an improved local gradual deformation method. - Xiuwei Yang; Peimin Zhu (Comput. Geosci., 2017)

3D Time-domain electromagnetic full waveform inversion in Debye dispersive medium accelerated by multi-GPU paralleling. - Jian Deng; Yves Rogez; Peimin Zhu; Alain Herique; Jinpeng Jiang; Wlodek Kofman (Comput. Phys. Commun., 2021)

Detection and Characterization of Cracks in Highway Pavement with the Amplitude Variation of GPR Diffracted Waves: Insights from Forward Modeling and Field Data. - Shili Guo; Zhiwei Xu; Xiuzhong Li; Peimin Zhu (Remote. Sens., 2022)

EI + FWI Method for Reconstructing Interior Structure of Asteroid Using Lander-to-Orbiter Bistatic Radar System. - Jian Deng; Wlodek Kofman; Peimin Zhu; Alain Herique; Ruidong Liu; Shi Zheng (IEEE Trans. Geosci. Remote. Sens., 2022)

Hybrid Inversion of Reservoir Parameters Based on Cosimulation and the Gradual Deformation Method. - Xiuwei Yang; Ningbo Mao; Peimin Zhu (IEEE Trans. Geosci. Remote. Sens., 2022)

SaltISCG: Interactive Salt Segmentation Method Based on CNN and Graph Cut. - Hao Zhang 116; Peimin Zhu; Zhiying Liao; Zewei Li (IEEE Trans. Geosci. Remote. Sens., 2022)

A Nonstationary Random Medium Modeling Method Based on FFT Moving Average and U-Net. - Xiuwei Yang; Peimin Zhu; Ningbo Mao (IEEE Access, 2023)

Accelerating 3-D Acoustic Full Waveform Inversion Using a Multi-GPU Cluster. - Yanling Chen; Peimin Zhu; Wudi Wen; Jinpeng Jiang (IEEE Trans. Geosci. Remote. Sens., 2023)

Improved fast iterative method for higher calculation accuracy of traveltimes. - Wei Cai; Peimin Zhu; Guangchao Li (Comput. Geosci., 2023)

SaltISNet3D: Interactive Salt Segmentation from 3D Seismic Images Using Deep Learning. - Hao Zhang 116; Peimin Zhu; Zhiying Liao (Remote. Sens., 2023)

Reservoir characterization through comprehensive modeling of elastic logs prediction in heterogeneous rocks using unsupervised clustering and class-based ensemble machine learning. - Muhammad Ali; Peimin Zhu; Ren Jiang; Ma Huolin; Muhsan Ehsan; Wakeel Hussain; Hao Zhang 116; Umar Ashraf; Jared Ullaah (Appl. Soft Comput., 2023)

Simulation and reconstruction for 3D elastic wave using multi-GPU and CUDA-aware MPI. - Wei Cai; Peimin Zhu; Ziang Li (Comput. Geosci., 2024)

Elimination of the Symmetrical Artifacts in Kirchhoff Depth Migration for 3-D Whole-Space Tunnel Seismic Imaging. - Wei Cai; Peimin Zhu; Changnan Xiao; Yufeng Liu; Chengshuang Li; Ziang Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Characterizing Near-Surface Velocity Structures via Deep Learning. - Ziang Li; Xiaofeng Jia; Jie Zhang 064; Peimin Zhu; Wei Cai; Hao Zhang 116; Zhiying Liao (IEEE Trans. Geosci. Remote. Sens., 2024)

A Deep Learning-Based Seismic Horizon Tracking Method With Uncertainty Encoding and Vertical Constraint. - Zhiying Liao; Peimin Zhu; Hao Zhang 116; Zewei Li; Ziang Li; Muhammad Ali (IEEE Trans. Geosci. Remote. Sens., 2024)

A Two-Stage Convolutional Neural Network for Interactive Channel Segmentation From 3-D Seismic Data. - Hao Zhang 116; Xianhai Song; Peimin Zhu; Muhammad Ali; Zhiying Liao; Dianyong Ruan; Tao Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Kernel Prediction Network for Offset Domain Common Image Gather Flattening and Correction. - Ziang Li; Xinming Wu; Peimin Zhu; Luming Liang; Yuhang Wang; Wei Cai; Hao Zhang 116; Zhiying Liao (IEEE Trans. Geosci. Remote. Sens., 2025)

Interactive Channel Segmentation From 2-D Seismic Images Using Deep Learning and Conditional Random Fields. - Hao Zhang 116; Peimin Zhu; Xianhai Song; Muhammad Ali; Ziang Li; Zhiying Liao; Dianyong Ruan; Tao Li (IEEE Trans. Geosci. Remote. Sens., 2025)

Optimizing seismic-based reservoir property prediction: a synthetic data-driven approach using convolutional neural networks and transfer learning with real data integration. - Muhammad Ali; He Changxingyue; Ning Wei; Ren Jiang; Peimin Zhu; Hao Zhang 116; Wakeel Hussain; Umar Ashraf (Artif. Intell. Rev., 2025)