Recovery of Seismic Events by Time-Frequency Peak Filtering. - Hongbo Lin; Yue Li 003; Baojun Yang (ICIP (5), 2007)

ICA based Noise Subtraction for Linear System Identification in Additive Noisy Output. - Ying Gao; Yue Li 003; Baojun Yang (SNPD (1), 2007)

Application of Higher Order Cumulants for Seismic Wavelet Reconstruction. - Yajun Li; Baojun Yang; Yue Li 003 (Data Sci. J., 2007)

Varying-Window-Length Time-Frequency Peak Filtering and its Application to Seismic Data. - Hongbo Lin; Yue Li 003; Baojun Yang (CIS (2), 2008)

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

Spatiotemporal Time-Frequency Peak Filtering Method for Seismic Random Noise Reduction. - Yanping Liu; Yue Li 003; Pengfei Nie; Qian Zeng (IEEE Geosci. Remote. Sens. Lett., 2013)

A Sparse NMF-SU for Seismic Random Noise Attenuation. - Yanan Tian; Yue Li 003; Hongbo Lin; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2013)

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

Seismic Random Noise Elimination by Adaptive Time-Frequency Peak Filtering. - Hongbo Lin; Yue Li 003; Baojun Yang; Haitao Ma 001; Chao Zhang (IEEE Geosci. Remote. Sens. Lett., 2014)

An Amplitude-Preserved Time-Frequency Peak Filtering Based on Empirical Mode Decomposition for Seismic Random Noise Reduction. - Yanping Liu; Yue Li 003; Hongbo Lin; Haitao Ma 001 (IEEE Geosci. Remote. Sens. Lett., 2014)

Parabolic-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation. - Yanan Tian; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2014)

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

Using the Directional Derivative Trace Transform for Seismic Wavefield Separation. - Pengfei Nie; Lichao Zhang; Yue Li 003; Baojun Yang; Xiwu Luan (IEEE Trans. Geosci. Remote. Sens., 2014)

Variable-Eccentricity Hyperbolic-Trace TFPF for Seismic Random Noise Attenuation. - Yanan Tian; Yue Li 003; Baojun Yang (IEEE Trans. Geosci. Remote. Sens., 2014)

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

Spatiotemporal Adaptive Time-Frequency Peak Filtering for Seismic Random Noise Attenuation. - Xinhuan Deng; Haitao Ma 001; Yue Li 003; Qian Zeng; Guanghai Zhuang (IEEE Geosci. Remote. Sens. Lett., 2015)

Adaptive Fission Particle Filter for Seismic Random Noise Attenuation. - Xue Han; Hongbo Lin; Yue Li 003; Haitao Ma 001; Xian Zhao (IEEE Geosci. Remote. Sens. Lett., 2015)

Matching-Pursuit-Based Spatial-Trace Time-Frequency Peak Filtering for Seismic Random Noise Attenuation. - Hongbo Lin; Yue Li 003; Haitao Ma 001; Baojun Yang; Jun Dai (IEEE Geosci. Remote. Sens. Lett., 2015)

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

Adaptive Time-Frequency Peak Filtering Based on Convex Sets and the Viterbi Algorithm. - Qian Zeng; Yue Li 003; Xinhuan Deng (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 (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 (IEEE Geosci. Remote. Sens. Lett., 2015)

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

SNR Enhancement for Downhole Microseismic Data Using CSST. - Haitao Zhao 003; Yue Li 003; Chao Zhang (IEEE Geosci. Remote. Sens. Lett., 2016)

Automatic Time Picking for Microseismic Data Based on a Fuzzy C-Means Clustering Algorithm. - Dan Zhu; Yue Li 003; Chao Zhang (IEEE Geosci. Remote. Sens. Lett., 2016)

A Time Picking Method Based on Spectral Multimanifold Clustering in Microseismic Data. - Yuqi Meng; Yue Li 003; Chao Zhang; Haitao Zhao 003 (IEEE Geosci. Remote. Sens. Lett., 2017)

Seismic Exploration Random Noise on Land: Modeling and Application to Noise Suppression. - Guanghui Li 004; Yue Li 003; Baojun Yang (IEEE Trans. Geosci. Remote. Sens., 2017)

Nonstationary Seismic Random Noise Attenuation by EPLL. - Hongbo Lin; Haoran Xi; Yue Li 003; Haitao Ma 001 (ICIP, 2018)

A Time Picking Method for Microseismic Data Based on LLE and Improved PSO Clustering Algorithm. - Haitao Ma 001; Teng Wang 003; Yue Li 003; Yuqi Meng (IEEE Geosci. Remote. Sens. Lett., 2018)

A Patch Based Denoising Method Using Deep Convolutional Neural Network for Seismic Image. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001 (IEEE Access, 2019)

Power Quality Disturbance Recognition Based on Multiresolution S-Transform and Decision Tree. - Tie Zhong; Shuo Zhang; Guowei Cai; Yue Li 003; Baojun Yang; Yun Chen (IEEE Access, 2019)

Low-Frequency Noise Suppression Method Based on Improved DnCNN in Desert Seismic Data. - Yuxing Zhao; Yue Li 003; Xintong Dong; Baojun Yang (IEEE Geosci. Remote. Sens. Lett., 2019)

Modeling Land Seismic Exploration Random Noise in a Weakly Heterogeneous Medium and the Application to the Training Set. - Qiankun Feng; Yue Li 003; Baojun Yang (IEEE Geosci. Remote. Sens. Lett., 2020)

Low-Frequency Noise Suppression in Desert Seismic Data Based on an Improved Weighted Nuclear Norm Minimization Algorithm. - Juan Li; Wei Fan; Yue Li 003; Zhihong Qian (IEEE Geosci. Remote. Sens. Lett., 2020)

Desert Seismic Low-Frequency Noise Attenuation Based on Approximate-Message-Passing-Based Complex Diffusion. - Haitao Ma 001; Yuzhuo Wang; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2020)

Low-Frequency Noise Suppression of Desert Seismic Data Based on Variational Mode Decomposition and Low-Rank Component Extraction. - Haitao Ma 001; Jie Yan; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2020)

Deep Residual Encoder-Decoder Networks for Desert Seismic Noise Suppression. - Haitao Ma 001; Haiyang Yao; Yue Li 003; Hongzhou Wang (IEEE Geosci. Remote. Sens. Lett., 2020)

2-D Adaptive Fractal Conservation Law for Seismic Random Noise Elimination. - Fanlei Meng; Yue Li 003; Qian Zeng (IEEE Geosci. Remote. Sens. Lett., 2020)

New Suppression Technology for Low-Frequency Noise in Desert Region: The Improved Robust Principal Component Analysis Based on Prediction of Neural Network. - Xintong Dong; Tie Zhong; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2020)

Seismic Signal Enhancement and Noise Suppression Using Structure-Adaptive Nonlinear Complex Diffusion. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001 (IEEE Trans. Geosci. Remote. Sens., 2020)

Low-Frequency Desert Noise Intelligent Suppression in Seismic Data Based on Multiscale Geometric Analysis Convolutional Neural Network. - Yuxing Zhao; Yue Li 003; Baojun Yang (IEEE Trans. Geosci. Remote. Sens., 2020)

A Deep-Learning-Based Denoising Method for Multiarea Surface Seismic Data. - Xintong Dong; Tie Zhong; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2021)

The Denoising of Desert Seismic Data Based on Cycle-GAN With Unpaired Data Training. - Yue Li 003; Hongzhou Wang; Xintong Dong (IEEE Geosci. Remote. Sens. Lett., 2021)

A Branch Construction-Based CNN Denoiser for Desert Seismic Data. - Hongbo Lin; Shifu Wang; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2021)

Desert Seismic Data Denoising Based on Gaussian Conditional Random Field With Sparsity Measurement. - Yi Zhao; Yue Li 003; Jie Yan (IEEE Geosci. Remote. Sens. Lett., 2021)

Denoising the Optical Fiber Seismic Data by Using Convolutional Adversarial Network Based on Loss Balance. - Xintong Dong; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2021)

Generative Adversarial Network for Desert Seismic Data Denoising. - Hongzhou Wang; Yue Li 003; Xintong Dong (IEEE Trans. Geosci. Remote. Sens., 2021)

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

Seismic Random Noise Suppression by Using Adaptive Fractal Conservation Law Method Based on Stationarity Testing. - Tie Zhong; Ming Cheng 006; Xintong Dong; Yue Li 003 (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; Hongzhou Wang (IEEE Geosci. Remote. Sens. Lett., 2022)

Low-Frequency Noise Suppression of Seismic Signals Using a Novel Framework Composed of Rank Residual Constraint and Enhanced Block Matching. - Wei Fan; Juan Li; Yue Li 003; Yujuan Si; Weiyi Yang (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 (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; Xintong Dong (IEEE Geosci. Remote. Sens. Lett., 2022)

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

Self-Supervised Learning for Seismic Data Reconstruction and Denoising. - Fanlei Meng; Qinyin Fan; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

Noisy2Noisy: Denoise Pre-Stack Seismic Data Without Paired Training Data With Labels. - Dan Shao; Yuxing Zhao; Yue Li 003; Tonglin Li (IEEE Geosci. Remote. Sens. Lett., 2022)

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

DnResNeXt Network for Desert Seismic Data Denoising. - Haiyang Yao; Haitao Ma 001; Yue Li 003; Qiankun Feng (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 (IEEE Geosci. Remote. Sens. Lett., 2022)

RCEN: A Deep-Learning-Based Background Noise Suppression Method for DAS-VSP Records. - Tie Zhong; Ming Cheng 006; Shaoping Lu; Xintong Dong; Yue Li 003 (IEEE Geosci. Remote. Sens. Lett., 2022)

Multiscale Spatial Attention Network for Seismic Data Denoising. - Xintong Dong; Jun Lin 003; Shaoping Lu; Hongzhou Wang; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

Denoising Deep Learning Network Based on Singular Spectrum Analysis - DAS Seismic Data Denoising With Multichannel SVDDCNN. - Qiankun Feng; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2022)

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

Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network. - Haitao Ma 001; Yuzhuo Wang; Yue Li 003; Yuxing Zhao (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; Dan Shao (IEEE Trans. Geosci. Remote. Sens., 2022)

Attribute-Guided Target Data Separation Network for DAS VSP Data. - Shengnan Wang; Yue Li 003; Yuxing Zhao (IEEE Trans. Geosci. Remote. Sens., 2022)

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

Low-Frequency Seismic Noise Reduction Based on Deep Complex Reaction-Diffusion Model. - Yushu Zhang 003; Hongbo Lin; Yue Li 003; Haitao Ma 001; Guijin Yao (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 (IEEE Trans. Geosci. Remote. Sens., 2022)

Less Data-Dependent Seismic Noise Suppression Method Based on Transfer Learning With Attention Mechanism. - Qiankun Feng; Shigang Wang; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2023)

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; 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; Shengnan Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

DAS Noise Suppression Network Based on Distributing-Local-Attention Expansion. - Juan Li; Pan Xiong; Yue Li 003; Qiankun Feng (IEEE Geosci. Remote. Sens. Lett., 2024)

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

Analysis of DAS Seismic Noise Generation and Elimination Process Based on Mean-SDE Diffusion Model. - Qiankun Feng; Shigang Wang; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

Data-Driven Ringed Residual U-Net Scheme for Full Waveform Inversion. - Xingguo Huang; Cong Wang; Wenrui Ye; Stewart A. Greenhalgh; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

Cosine Spectral Association Network for DAS VSP Data High-Precision Recovery. - Jilei Sui; Zhicheng Zhong 002; Yanan Tian; Yue Li 003; Yi Zhao (IEEE Trans. Geosci. Remote. Sens., 2024)

Self-Supervised Pretraining Transformer for Seismic Data Denoising. - Hongzhou Wang; Jun Lin 003; Yue Li 003; Xintong Dong; Xunqian Tong; Shaoping Lu (IEEE Trans. Geosci. Remote. Sens., 2024)

Weak Signals Recovery of Downhole DAS With Scale-Weighted Nonlocal Selective Attention. - Guijin Yao; Decheng Sun; Yuxing Zhao; Jilei Sui; Yanan Tian; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Dual Attention Denoising Network for DAS VSP Signal Recovery and Its Interpretability Analysis. - Man Zhang 011; Yue Li 003; Yuxing Zhao; Yibo Wang 002 (IEEE Trans. Geosci. Remote. Sens., 2024)

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

Improved Cepstrum Analysis for Multiplicative Noise in Borehole Seismic Acquisition Records. - Yi Zhao; Zhicheng Zhong 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 (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised Seismic Data Denoising Using Diffusion Denoising Model. - Fuyao Sun; Hongbo Lin; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2025)

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

DAS Up- and Downgoing Wavefield Separation via Radon Transform Combined With Parallel U-Network. - Decheng Sun; Guijin Yao; Yue Li 003 (IEEE Trans. Geosci. Remote. Sens., 2025)

Physical Model and Super-Resolution Theory-Guided Unsupervised Deep Learning Deconvolution for Seismic Resolution Enhancement. - Yuxing Zhao; Yue Li 003; Shengnan Wang; Baojun Yang (IEEE Trans. Geosci. Remote. Sens., 2025)

PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency. - Xintong Dong; Zhengyi Yuan; Jun Lin 003; Shiqi Dong; Xunqian Tong; Yue Li 003 (CoRR, 2025)