Joint speech signal enhancement based on spectral subtraction and SVD filter. - Wenkai Lu; Xuegong Zhang; Yanda Li; Liqin Shen; Weibin Zhu (INTERSPEECH, 2000)

Localized 2-D filter-based linear coherent noise attenuation. - Wenkai Lu (IEEE Trans. Image Process., 2001)

Adaptive noise attenuation of seismic image using singular value decomposition and texture direction detection. - Wenkai Lu (ICIP (2), 2002)

Nested Buffer SMO Algorithm for Training Support Vector Classifiers. - Xiang Wu; Wenkai Lu (ISNN (1), 2004)

Hydrocarbon Reservoir Prediction Using Support Vector Machines. - Kaifeng Yao; Wenkai Lu; Shanwen Zhang; Huanqin Xiao; Yanda Li (ISNN (1), 2004)

An In-depth Comparasion on FastICA, CuBICA and IC-FastICA. - Bin Wang; Wenkai Lu (ICNC (2), 2005)

Blind channel estimation using zero-lag slice of third-order moment. - Wenkai Lu (IEEE Signal Process. Lett., 2005)

A Fast L1 Linear Estimator and Its Application on Predictive Deconvolution. - Lei Liu; Wenkai Lu (IEEE Geosci. Remote. Sens. Lett., 2015)

Real-time Industrial Vision System for Automatic Product Surface Inspection. - Zhe Cui; Wenkai Lu; Jin-Lin Liu (ICIME, 2016)

A Probabilistic Framework for Spectral-Spatial Classification of Hyperspectral Images. - Jin-Lin Liu; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2016)

An Events Rearrangement Strategy-Based Robust Principle Component Analysis. - Yuchen Wang; Wenkai Lu; Benfeng Wang (IEEE Geosci. Remote. Sens. Lett., 2017)

Adaptive Multiple Subtraction Based on Sparse Coding. - Jin-Lin Liu; Wenkai Lu; Yingqiang Zhang (IEEE Trans. Geosci. Remote. Sens., 2017)

Enhancement of Deghosted Seismic Data Based on Spectra Reconstruction. - Jialin Wang 003; Wenkai Lu; Lei Liu; Benfeng Wang (IEEE Geosci. Remote. Sens. Lett., 2018)

An Efficient Amplitude-Preserving Generalized S Transform and Its Application in Seismic Data Attenuation Compensation. - Benfeng Wang; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2018)

CNN-Based Ringing Effect Attenuation of Vibroseis Data for First-Break Picking. - Zhuang Jia; Wenkai Lu (IEEE Geosci. Remote. Sens. Lett., 2019)

A Robust and Efficient Sparse Time-Invariant Radon Transform in the Mixed Time-Frequency Domain. - Benfeng Wang; Yingqiang Zhang; Wenkai Lu; Jianhua Geng (IEEE Trans. Geosci. Remote. Sens., 2019)

Automatic Source Localization and Attenuation of Seismic Interference Noise Using Density-Based Clustering Method. - Pengcheng Xu 003; Wenkai Lu; Benfeng Wang (IEEE Trans. Geosci. Remote. Sens., 2019)

A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction. - Liyi Guo; Rui Lu; Haoqi Zhang; Junqi Jin; Zhenzhe Zheng; Fan Wu 006; Jin Li; Haiyang Xu; Han Li 005; Wenkai Lu; Jian Xu 015; Kun Gai (CIKM, 2020)

Blind Separation of Ground-Roll Using Interband Morphological Similarity and Pattern Coding. - Zhuang Jia; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2020)

Well-Logging Constrained Seismic Inversion Based on Closed-Loop Convolutional Neural Network. - Yuqing Wang 001; Qiang Ge; Wenkai Lu; Xinfei Yan (IEEE Trans. Geosci. Remote. Sens., 2020)

Intelligent Missing Shots' Reconstruction Using the Spatial Reciprocity of Green's Function Based on Deep Learning. - Benfeng Wang; Ning Zhang; Wenkai Lu; Jianhua Geng; Xueyuan Huang (IEEE Trans. Geosci. Remote. Sens., 2020)

Synthesize Nuclear Magnetic Resonance T2 Spectrum From Conventional Logging Responses With Spectrum Regression Forest. - Yile Ao; Wenkai Lu; Qiuyuan Hou; Bowu Jiang (IEEE Geosci. Remote. Sens. Lett., 2021)

An End-to-End Hyperspectral Image Classification Method Using Deep Convolutional Neural Network With Spatial Constraint. - Zhuang Jia; Wenkai Lu (IEEE Geosci. Remote. Sens. Lett., 2021)

Seismic Interference Noise Attenuation by Convolutional Neural Network Based on Training Data Generation. - Pengcheng Xu 003; Wenkai Lu; Benfeng Wang (IEEE Geosci. Remote. Sens. Lett., 2021)

EasySpec: Automatic Specular Reflection Detection and Suppression From Endoscopic Images. - Patrice Monkam; Jing Wu; Wenkai Lu; Wenjun Shan; Hao Chen 046; Yuhao Zhai (IEEE Trans. Computational Imaging, 2021)

Seismic Structural Curvature Volume Extraction With Convolutional Neural Networks. - Yile Ao; Wenkai Lu; Bowu Jiang; Patrice Monkam (IEEE Trans. Geosci. Remote. Sens., 2021)

Primal-Dual Optimization Strategy With Total Variation Regularization for Prestack Seismic Image Deblurring. - Bowu Jiang; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2021)

Multitask Learning for Super-Resolution of Seismic Velocity Model. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2021)

Adaptive Multiple Subtraction Based on an Accelerating Iterative Curvelet Thresholding Method. - Bowu Jiang; Wenkai Lu (IEEE Trans. Image Process., 2021)

Deep Neural Network-Based Noisy Pixel Estimation for Breast Ultrasound Segmentation. - Songbai Jin; Wenkai Lu; Patrice Monkam (ICIP, 2022)

An efficient annotated data generation method for echocardiographic image segmentation. - Patrice Monkam; Songbai Jin; Wenkai Lu (Comput. Biol. Medicine, 2022)

Dependency maximization forward feature selection algorithms based on normalized cross-covariance operator and its approximated form for high-dimensional data. - Jianhua Xu; Wenkai Lu; Jun Li 033; Hongli Yuan (Inf. Sci., 2022)

Data Cleansing for Salt Dome Dataset With Noise Robust Network on Segmentation Task. - Youdam Chung; Wenkai Lu; Xingyu Tian (IEEE Geosci. Remote. Sens. Lett., 2022)

Physics-Constrained Seismic Impedance Inversion Based on Deep Learning. - Yuqing Wang 001; Qi Wang; Wenkai Lu; Haishan Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Seismic Dip Estimation With a Domain Knowledge Constrained Transfer Learning Approach. - Yile Ao; Wenkai Lu; Pengcheng Xu 003; Bowu Jiang (IEEE Trans. Geosci. Remote. Sens., 2022)

EMRNet: End-to-End Electrical Model Restoration Network. - Zhuo Jia; Yinshuo Li; Wenkai Lu; Ling Zhang 006; Patrice Monkam (IEEE Trans. Geosci. Remote. Sens., 2022)

Self-Supervised Deep Learning for 3D Gravity Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2022)

Super-Resolution of Seismic Velocity Model Guided by Seismic Data. - Yinshuo Li; Jianyong Song; Wenkai Lu; Patrice Monkam; Yile Ao (IEEE Trans. Geosci. Remote. Sens., 2022)

UB-Net: Improved Seismic Inversion Based on Uncertainty Backpropagation. - Qiming Ma; Yuqing Wang 001; Yile Ao; Qi Wang; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2022)

Reservoir Prediction Based on Closed-Loop CNN and Virtual Well-Logging Labels. - Cao Song; Wenkai Lu; Yuqing Wang 001; Songbai Jin; Jinliang Tang; Lei Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

A Dynamic Time Warping Loss-Based Closed-Loop CNN for Seismic Impedance Inversion. - Cao Song; Minghui Lu; Yuqing Wang 001; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2022)

Improved Anomalous Amplitude Attenuation Method Based on Deep Neural Networks. - Xingyu Tian; Wenkai Lu; Yanda Li (IEEE Trans. Geosci. Remote. Sens., 2022)

A Multitask Learning-Based Dynamic Wavelet Amplitude Spectra Extraction Method and Its Application in Q Estimation. - Jialin Wang 003; Wenkai Lu; Yandong Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Seismic Inversion Based on 2D-CNNs and Domain Adaption. - Qi Wang; Yuqing Wang 001; Yile Ao; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2022)

US-Net: A lightweight network for simultaneous speckle suppression and texture enhancement in ultrasound images. - Patrice Monkam; Wenkai Lu; Songbai Jin; Wenjun Shan; Jing Wu; Xiang Zhou; Bo Tang; Hua Zhao; Hongmin Zhang; Xin Ding; Huan Chen; Longxiang Su (Comput. Biol. Medicine, 2023)

Self-Supervised Knowledge-Driven Deep Learning for 3D Magnetic Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (CoRR, 2023)

A Ground-Roll Separation Method Based on Neural Networks With Morphological Similarity Loss. - Xingyu Tian; Yile Ao; Yanda Li; Wenkai Lu (IEEE Geosci. Remote. Sens. Lett., 2023)

Seismic Stratigraphic Interpretation Based on Deep Active Learning. - Xiaofeng Gu 003; Wenkai Lu; Yile Ao; Yinshuo Li; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2023)

Semi-Supervised Seismic Stratigraphic Interpretation Constrained by Spatial Structure. - Xiaofeng Gu 003; Wenkai Lu; Yinshuo Li; Yonghao Wang (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Learning for 3-D Magnetic Inversion. - Zhuo Jia; Yinshuo Li; Yonghao Wang; Yang Li; Songbai Jin; Yuxuan Li; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2023)

Magnetotelluric Closed-Loop Inversion. - Zhuo Jia; Yonghao Wang; Yinshuo Li; Chenyang Xu; Xu Wang; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2023)

Spatial Pattern Learning: Dip Structure Constraint Multi-View Convolutional Neural Network for Pre-Stacked Seismic Inversion. - Cao Song; Minghui Lu; Yinshuo Li; Wenkai Lu; Xinhai Hu; Jianyong Song; Gang Chen; Tinming Tang (IEEE Trans. Geosci. Remote. Sens., 2023)

Improved Seismic Residual Diffracted Multiple Suppression Method Based on Object Detection and Image Segmentation. - Xingyu Tian; Wenkai Lu; Yanda Li; Jinpeng Liu; Mingrui Zhong; Hongxun Pan; Bowu Jiang (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Velocity Generator: A Plug-In Network for FWI Enhancement. - Yonghao Wang; Bowu Jiang; Zhefeng Wei; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2023)

A Self-Adaptive Antialiasing Framework for Seismic Data Interpolation. - Yuqing Wang 001; Wenkai Lu; Yinshuo Li (IEEE Trans. Geosci. Remote. Sens., 2023)

Annotation Cost Minimization for Ultrasound Image Segmentation Using Cross-Domain Transfer Learning. - Patrice Monkam; Songbai Jin; Wenkai Lu (IEEE J. Biomed. Health Informatics, 2023)

LVSnake: Accurate and robust left ventricle contour localization for myocardial infarction detection. - Yuxuan Li; Wenkai Lu; Patrice Monkam; Zhenhui Zhu; Weichun Wu; Mengyi Liu (Biomed. Signal Process. Control., 2023)

CCMT: Cross Collaboration Mult-Task Network for Neonatal Hip Bone Intelligent Diagnosis. - Liangni Hu; Yuxuan Li; Yonghao Wang; Xinjie Zeng; Lei Yu; Wenkai Lu (ISBI, 2024)

Ultrasound Rebeamforming Based Phase Aberration Correction. - Wenkai Lu; Yonghao Wang; Yu Mao; Liangni Hu (ISBI, 2024)

Enhancing Ultrasound Imaging with Synthetic Aperture Data: A Deep Learning Approach for Superior Resolution and Contrast. - Yu Mao; Wenkai Lu; Yuxuan Li; Yonghao Wang (ISBI, 2024)

A Deep Learning Normalization Method for Robust Ultrasound Attenuation Coefficient Estimation. - Yonghao Wang; Cheng Jin; Liangni Hu; Wenkai Lu (ISBI, 2024)

Multi-AUV Collaborative Data Collection and Trajectory Planning in Integrated Sensing and Communication for Underwater Acoustic Networks. - Tianhao Hu; Xiaoxiao Zhuo; Liang Tang; Zhanya Li; Wenkai Lu; Fengzhong Qu (VTC Spring, 2024)

A Deep CNN Model for Ringing Effect Attenuation of Vibroseis Data. - Zhuang Jia; Wenkai Lu (CoRR, 2024)

Ground-roll Separation From Land Seismic Records Based on Convolutional Neural Network. - Zhuang Jia; Wenkai Lu; Meng Zhang; Yongkang Miao (CoRR, 2024)

Self-Supervised Knowledge-Driven Method for 3-D Magnetic Inversion. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (IEEE Geosci. Remote. Sens. Lett., 2024)

Seismic Stratigraphic Interpretation Based on Unsupervised Validation and Spectral Clustering Sampling. - Jianyu Luo; Xiaofeng Gu 003; Wenkai Lu; Yinshuo Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dual-Attention-Based Wavelet Integrated CNN Constrained via Stochastic Structural Similarity for Seismic Data Reconstruction. - Wei Cao 014; Wenkai Lu; Ying Shi 002; Yinshuo Li; Yonghao Wang; Songling Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Multitrace Seismic Impedance Inversion With Structure-Oriented Minimum Entropy Stabilizer. - Weiheng Geng; Wenkai Lu; Jingye Li; Xiaohong Chen 003; Yaru Xue; Cao Song; Yuanpeng Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Reconstruct 3-D Seismic Data With Randomly Missing Traces via Fast Self-Supervised Deep Learning. - Yinshuo Li; Wei Cao 014; Wenkai Lu; Xiaogang Huang; Jicai Ding; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2024)

Evolution Inversion: Co-Evolution of Model and Data for Seismic Reservoir Parameters Inversion. - Cao Song; Minghui Lu; Wenkai Lu; Weiheng Geng; Yinshuo Li (IEEE Trans. Geosci. Remote. Sens., 2024)

Physics-Driven Neural Network for Interval Q Inversion. - Yonghao Wang; Wei Cao 014; Weiheng Geng; Zhuo Jia; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2024)

SEMI Net: Seismic-Electromagnetic Joint Inversion Network. - Yonghao Wang; Zhuo Jia; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2024)

SeisLFMFlow: Seismic Common Image Gathers Enhancement Using Self-Supervised Optical Flow Estimation Based on Local Feature Matching. - Zhiyu Yao; Yang Li; Weiheng Geng; Wenkai Lu (IEEE Trans. Geosci. Remote. Sens., 2024)

Semi-Supervised W-KAN for Regularly Missing Seismic Data Reconstruction. - Wei Cao 014; Wenkai Lu; Yinshuo Li (IEEE Geosci. Remote. Sens. Lett., 2025)

LSCMNet: A Lightweight Segmentation Network Based on Co-Occurring Matrix for Seismic Image. - Linqian Fan; Wenkai Lu; Yonghao Wang (IEEE Geosci. Remote. Sens. Lett., 2025)

Improving Logging-While-Drilling Azimuthal Imaging With Deep Learning Super-Resolution. - Yile Ao; Fei Tian; Wenkai Lu; Bowu Jiang (IEEE Trans. Geosci. Remote. Sens., 2025)

Physics-Inspired Neural Network for Joint Inversion of Multialtitude 3-D Gravity and Vertical Gradient. - Yinshuo Li; Zhuo Jia; Wenkai Lu; Cao Song (IEEE Trans. Geosci. Remote. Sens., 2025)

Physics-Constrained Automated Well-to-Seismic Tie Based on Time-Frequency Key Feature Point Matching. - Zhiyu Yao; Wenkai Lu; Weiheng Geng; Jialin Wang 003 (IEEE Trans. Geosci. Remote. Sens., 2025)