Adjoint-Driven Deep-Learning Seismic Full-Waveform Inversion. - Wei Zhang 212; Jinghuai Gao; Zhaoqi Gao; Hongling Chen (IEEE Trans. Geosci. Remote. Sens., 2021)

High-Resolution Velocity Model Building Based on Common-Source Migration Images and Convolutional Neural Networks. - Wei Zhang 212; Jinghuai Gao (IEEE Geosci. Remote. Sens. Lett., 2022)

3-D Q-Compensated Image-Domain Least-Squares Reverse Time Migration Through Point Spread Functions. - Wei Zhang 212; Jinghuai Gao (IEEE Geosci. Remote. Sens. Lett., 2022)

Seismic Acoustic Impedance Inversion via Optimization-Inspired Semisupervised Deep Learning. - Hongling Chen; Jinghuai Gao; Wei Zhang 212; Ping Yang (IEEE Trans. Geosci. Remote. Sens., 2022)

Least-Squares Reverse Time Migration With Curvelet-Domain Preconditioning Operators. - Feipeng Li; Jinghuai Gao; Zhaoqi Gao; Chuang Li 003; Wei Zhang 212 (IEEE Trans. Geosci. Remote. Sens., 2022)

Deep-Learning Full-Waveform Inversion Using Seismic Migration Images. - Wei Zhang 212; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2022)

2-D and 3-D Image-Domain Least-Squares Reverse Time Migration Through Point Spread Functions and Excitation-Amplitude Imaging Condition. - Wei Zhang 212; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2022)

3-D Image-Domain Least-Squares Reverse Time Migration With L1 Norm Constraint and Total Variation Regularization. - Wei Zhang 212; Jinghuai Gao; Yuanfeng Cheng; Chaoguang Su; Hongxian Liang; Jianbing Zhu (IEEE Trans. Geosci. Remote. Sens., 2022)

Consistent Least-Squares Reverse Time Migration Using Convolutional Neural Networks. - Wei Zhang 212; Jinghuai Gao; Xiudi Jiang; Wenbo Sun (IEEE Trans. Geosci. Remote. Sens., 2022)

2-D and 3-D Q-Compensated Image-Domain Least-Squares Reverse Time Migration Through the Hybrid Point Spread Functions and the Hybrid Deblurring Filter. - Wei Zhang 212; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2023)

Hessian-Assisted Iterative Self-Training Learning for Seismic Migration. - Chuang Li 003; Bingbing Wu; Zhaoqi Gao; Wei Zhang 212; Feipeng Li; Jincheng Xu; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Deep Learning-Based Data-Driven P-/S-Wave Vector Decomposition for Multicomponent Seismic Data. - Chunlong Li; Huai Zhang; Wei Zhang 212; Jinghuai Gao; Zhiguo Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-Based Generative Models. - Chuangji Meng; Jinghuai Gao; Yajun Tian; Hongling Chen; Wei Zhang 212; Renyu Luo (IEEE Trans. Geosci. Remote. Sens., 2024)

Instantaneous Frequency Extraction for Nonstationary Signals via a Squeezing Operator with a Fixed-Point Iteration Method. - Zhen Li 016; Zhaoqi Gao; Fengyuan Sun; Jinghuai Gao; Wei Zhang 212 (Remote. Sens., 2024)

Suppressing Migration Artifacts Using Angle-Domain Least-Squares Migration. - Wei Zhang 212; Xuebao Guo; Ying Shi 002; Xuan Ke; Liwei Song; Jinghuai Gao; Hongling Chen (IEEE Trans. Geosci. Remote. Sens., 2025)