Noise Attenuation for 2-D Seismic Data by Radial-Trace Time-Frequency Peak Filtering. - Ning Wu 002; Yue Li 003; Baojun Yang (IEEE Geosci. Remote. Sens. Lett., 2011)

Applications of the Trace Transform in Surface Wave Attenuation on Seismic Records. - Ning Wu 002; Yue Li 003; Baojun Yang (IEEE Trans. Geosci. Remote. Sens., 2011)

Radial-Trace Time-Frequency Peak Filtering Based on Correlation Integral. - Chengyu Jiang; Yue Li 003; Ning Wu 002; Guanghai Zhuang; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

Intermediate-Frequency Seismic Record Discrimination by Radial Trace Time-Frequency Filtering. - Ning Wu 002; Yue Li 003; Haitao Ma 001; Xuechun Xu (IEEE Geosci. Remote. Sens. Lett., 2014)

Random-Noise Attenuation for Seismic Data by Local Parallel Radial-Trace TFPF. - Mingjun Xiong; Yue Li 003; Ning Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2014)

A Fractal Conservation Law for Simultaneous Denoising and Enhancement of Seismic Data. - Fanlei Meng; Yue Li 003; Ning Wu 002; Yanan Tian; Hongbo Lin (IEEE Geosci. Remote. Sens. Lett., 2015)

Noise Attenuation for Seismic Data by Hyperbolic-Trace Time-Frequency Peak Filtering. - Jie Zhang; Yue Li 003; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2015)

Varying-Window-Length TFPF in High-Resolution Radon Domain for Seismic Random Noise Attenuation. - Guanghai Zhuang; Yue Li 003; Yanping Liu; Hongbo Lin; Haitao Ma 001; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2015)

Curvature-Varying Hyperbolic Trace TFPF for Seismic Random Noise Attenuation. - Guanghai Zhuang; Yue Li 003; Ning Wu 002; Yanan Tian (IEEE Geosci. Remote. Sens. Lett., 2015)

Attribute-Based Double Constraint Denoising Network for Seismic Data. - Shengnan Wang; Yue Li 003; Ning Wu 002; Yuxing Zhao; Haiyang Yao (IEEE Trans. Geosci. Remote. Sens., 2021)

Random and Coherent Noise Suppression in DAS-VSP Data by Using a Supervised Deep Learning Method. - Xintong Dong; Yue Li 003; Tie Zhong; Ning Wu 002; Hongzhou Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

Desert Seismic Signal Denoising Based on Unsupervised Feature Learning and Time-Frequency Transform Technique. - Mo Li; Yue Li 003; Yanan Tian; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

The Application of Semisupervised Attentional Generative Adversarial Networks in Desert Seismic Data Denoising. - Yue Li 003; Xinming Luo; Ning Wu 002; Xintong Dong (IEEE Geosci. Remote. Sens. Lett., 2022)

Relative Attributes-Based Generative Adversarial Network for Desert Seismic Noise Suppression. - Haitao Ma 001; Yu Sun 071; Ning Wu 002; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

Efficient SPSNet for Downhole Weak DAS Signals Recovery. - Yanan Tian; Ting Lin; Yue Li 003; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Coupled Noise Reduction in Distributed Acoustic Sensing Seismic Data Based on Convolutional Neural Network. - Yuxing Zhao; Yue Li 003; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Distributed Acoustic Sensing Vertical Seismic Profile Data Denoising Based on Multistage Denoising Network. - Yue Li 003; Man Zhang 011; Yuxing Zhao; Ning Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Novel Iterative PA-MRNet: Multiple Noise Suppression and Weak Signals Recovery for Downhole DAS Data. - Yanan Tian; Jilei Sui; Yue Li 003; Ning Wu 002; Dan Shao (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Scale Progressive Fusion Attention Network Based on Small Sample Training for DAS Noise Suppression. - Ning Wu 002; Tong Xing; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Distributed Acoustic Sensing Vertical Seismic Profile Data Denoiser Based on Convolutional Neural Network. - Yuxing Zhao; Yue Li 003; Ning Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Seismic Random Noise Attenuation by Applying Multiscale Denoising Convolutional Neural Network. - Tie Zhong; Ming Cheng 006; Xintong Dong; Ning Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

A Global and Multiscale Denoising Method Based on Generative Adversarial Network for DAS VSP Data. - Haitao Ma 001; Jingye Yu; Yibo Wang 002; Ning Wu 002; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

Self-Supervised Denoising for Distributed Acoustic Sensing Vertical Seismic Profile Data via Improved Blind Spot Network. - Yuxing Zhao; Yue Li 003; Ning Wu 002; Shengnan Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Learning Gradient Descent to Optimize DAS Signal Estimation. - Haitao Ma 001; Mengyang Yuan; Ning Wu 002; Yue Li 003; Yanan Tian (IEEE Geosci. Remote. Sens. Lett., 2024)

Improving Distributed Acoustic Sensing Data Quality With Self-Supervised Learning. - Haitao Ma 001; Shijie Zhou; Yibo Wang 002; Ning Wu 002; Yue Li 003; Yanan Tian (IEEE Geosci. Remote. Sens. Lett., 2024)

Fine-Amplitude Structure Localization Using Correlation Coefficients Between DAS VSP Data and Surface Seismic Data at the Same Interface. - Man Zhang 011; Juan Li; Yuxing Zhao; Yue Li 003; Ning Wu 002 (IEEE Geosci. Remote. Sens. Lett., 2024)

Semi-Supervised DAS VSP Data Denoising Using Signal and Noise Distribution Difference. - Man Zhang 011; Juan Li; Yuxing Zhao; Ning Wu 002; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

The Improved Intrinsic Time-Scale Analysis for Multidimensional Signal-to-Noise Feature Separation of Borehole Seismic Data. - Zhicheng Zhong 002; Yi Zhao; Yue Li 003; Ning Wu 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Dual-Prior Conditional Probability Diffusion Model for Seismic Data Resolution Enhancement. - Fuyao Sun; Ning Wu 002; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2025)