Study on Mapping of Basic Elements in the Chinese Character Intelligent Formation without Character Library System. - Mingyou Liu; Wenzi Liao; Youguo Pi (ISDA, 2009)

A fast iterative kernel PCA feature extraction for hyperspectral images. - Wenzi Liao; Aleksandra Pizurica; Wilfried Philips; Youguo Pi (ICIP, 2010)

Feature extraction for hyperspectral images based on semi-supervised local discriminant analysis. - Wenzhi Liao; Aleksandra Pizurica; Wilfried Philips; Youguo Pi (JURSE, 2011)

Classification of Hyperspectral Data over Urban Areas Based on Extended Morphological Profile with Partial Reconstruction. - Wenzhi Liao; Rik Bellens; Aleksandra Pizurica; Wilfried Philips; Youguo Pi (ACIVS, 2012)

Classification of Hyperspectral Data Over Urban Areas Using Directional Morphological Profiles and Semi-Supervised Feature Extraction. - Wenzhi Liao; Rik Bellens; Aleksandra Pizurica; Wilfried Philips; Youguo Pi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012)

Feature extraction and classification for hyperspectral remote sensing images. - Wenzhi Liao (2012)

Two-stage denoising method for hyperspectral images combining KPCA and total variation. - Wenzhi Liao; Jan Aelterman; Hiêp Quang Luong; Aleksandra Pizurica; Wilfried Philips (ICIP, 2013)

Hyperspectral image deblurring with PCA and total variation. - Wenzhi Liao; Bart Goossens; Jan Aelterman; Hiêp Quang Luong; Aleksandra Pizurica; Niels Wouters; Wouter Saeys; Wilfried Philips (WHISPERS, 2013)

Semisupervised Local Discriminant Analysis for Feature Extraction in Hyperspectral Images. - Wenzhi Liao; Aleksandra Pizurica; Paul Scheunders; Wilfried Philips; Youguo Pi (IEEE Trans. Geosci. Remote. Sens., 2013)

Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data. - Wenzhi Liao; Rik Bellens; Aleksandra Pizurica; Sidharta Gautama; Wilfried Philips (IGARSS, 2014)

Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest. - Christian Debes; Andreas Merentitis; Roel Heremans; Jürgen T. Hahn; Nikolaos Frangiadakis; Tim van Kasteren; Wenzhi Liao; Rik Bellens; Aleksandra Pizurica; Sidharta Gautama; Wilfried Philips; Saurabh Prasad; et al. (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Semi-supervised graph fusion of hyperspectral and lidar data for classification. - Wenzhi Liao; Junshi Xia; Peijun Du; Wilfried Philips (IGARSS, 2015)

An improved semi-supervised local discriminant analysis for feature extraction of hyperspectral image. - Renbo Luo; Wenzhi Liao; Wilfried Philips; Youguo Pi (JURSE, 2015)

Optimized feature fusion of LiDAR and hyperspectral data for tree species mapping in closed forest canopies. - Frieke M. B. Van Coillie; Wenzhi Liao; Pieter Kempeneers; Kris Vandekerkhove; Sidharta Gautama; Wilfried Philips; Robert R. De Wulf (WHISPERS, 2015)

Two-stage fusion of thermal hyperspectral and visible RGB image by PCA and guided filter. - Wenzhi Liao; Xin Huang 002; Frieke Van Coillie; Guy Thoonen; Aleksandra Pizurica; Paul Scheunders; Wilfried Philips (WHISPERS, 2015)

Hyperspectral pansharpening: a review. - Laëtitia Loncan; Luís B. Almeida; José M. Bioucas-Dias; Xavier Briottet; Jocelyn Chanussot; Nicolas Dobigeon; Sophie Fabre; Wenzhi Liao; Giorgio A. Licciardi; Miguel Simões; Jean-Yves Tourneret; Miguel Angel Veganzones; et al. (CoRR, 2015)

Generalized Graph-Based Fusion of Hyperspectral and LiDAR Data Using Morphological Features. - Wenzhi Liao; Aleksandra Pizurica; Rik Bellens; Sidharta Gautama; Wilfried Philips (IEEE Geosci. Remote. Sens. Lett., 2015)

Improving Random Forest With Ensemble of Features and Semisupervised Feature Extraction. - Junshi Xia; Wenzhi Liao; Jocelyn Chanussot; Peijun Du; Guanghan Song; Wilfried Philips (IEEE Geosci. Remote. Sens. Lett., 2015)

Processing of Multiresolution Thermal Hyperspectral and Digital Color Data: Outcome of the 2014 IEEE GRSS Data Fusion Contest. - Wenzhi Liao; Xin Huang 002; Frieke Van Coillie; Sidharta Gautama; Aleksandra Pizurica; Wilfried Philips; Hui Liu; Tingting Zhu 004; Michal Shimoni; Gabriele Moser; Devis Tuia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Classification of hyperspectral images with very small training size using sparse unmixing. - Vera Andrejchenko; Rob Heylen; Paul Scheunders; Wilfried Philips; Wenzhi Liao (IGARSS, 2016)

LiDAR information extraction by attribute filters with partial reconstruction. - Wenzhi Liao; Mauro Dalla Mura; Xin Huang 002; Jocelyn Chanussot; Sidharta Gautama; Paul Scheunders; Wilfried Philips (IGARSS, 2016)

Classification of cloudy hyperspectral image and LiDAR data based on feature fusion and decision fusion. - Renbo Luo; Wenzhi Liao; Hongyan Zhang 001; Youguo Pi; Wilfried Philips (IGARSS, 2016)

Double reweighted sparse regression for hyperspectral unmixing. - Rui Wang 090; Heng-Chao Li 001; Wenzhi Liao; Aleksandra Pizurica (IGARSS, 2016)

A novel approach for detecting intersections from GPS traces. - Xingzhe Xie; Wenzhi Liao; Hamid K. Aghajan; Peter Veelaert; Wilfried Philips (IGARSS, 2016)

Static Fourier transform hyperspectral imaging polarimeter. - Jie Li; Chun Qi; Jingping Zhu; Wenzhi Liao; Wilfried Philips (WHISPERS, 2016)

Spectral-spatial classification for hyperspectral image by bilateral filtering and morphological features. - Wenzhi Liao; Daniel Erick Ochoa Donoso; Frieke Van Coillie; Jie Li; Chun Qi; Sidharta Gautama; Wilfried Philips (WHISPERS, 2016)

Hyperspectral unmixing by reweighted low rank and total variation. - Rui Wang 090; Wenzhi Liao; Heng-Chao Li 001; Hongyan Zhang 001; Aleksandra Pizurica (WHISPERS, 2016)

Exploiting the low-rank property of hyperspectral imagery: A technical overview. - Hongyan Zhang 001; Wei He 003; Wenzhi Liao; Renbo Luo; Liangpei Zhang 001; Aleksandra Pizurica (WHISPERS, 2016)

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). - Vinayak Abrol; Olivier Absil; Pierre-Antoine Absil; Sandrine Anthoine; Philippe Antoine; Thomas Arildsen; Nancy Bertin; Folkert Bleichrodt; Jérôme Bobin; Anne Bol; Antoine Bonnefoy; Francesco Caltagirone; et al. (CoRR, 2016)

Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images. - Wei He 003; Hongyan Zhang 001; Liangpei Zhang 001; Wilfried Philips; Wenzhi Liao (IEEE Geosci. Remote. Sens. Lett., 2016)

Generalized Differential Morphological Profiles for Remote Sensing Image Classification. - Xin Huang 002; Xiaopeng Han; Liangpei Zhang 001; Jianya Gong; Wenzhi Liao; Jón Atli Benediktsson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Fusion of Spectral and Spatial Information for Classification of Hyperspectral Remote-Sensed Imagery by Local Graph. - Wenzhi Liao; Mauro Dalla Mura; Jocelyn Chanussot; Aleksandra Pizurica (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Feature Extraction of Hyperspectral Images With Semisupervised Graph Learning. - Renbo Luo; Wenzhi Liao; Xin Huang 002; Youguo Pi; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Morphological Attribute Profiles With Partial Reconstruction. - Wenzhi Liao; Mauro Dalla Mura; Jocelyn Chanussot; Rik Bellens; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2016)

Pre-processing and classification of hyperspectral imagery via selective inpainting. - Victoria Chayes; Kevin Miller; Rasika Bhalerao; Jiajie Luo; Wei Zhu 007; Andrea L. Bertozzi; Wenzhi Liao; Stanley J. Osher (ICASSP, 2017)

Robust joint sparsity model for hyperspectral image classification. - Shaoguang Huang; Hongyan Zhang 001; Wenzhi Liao; Aleksandra Pizurica (ICIP, 2017)

Fusion of multi-scale hyperspectral and lidar features for tree species mapping. - Wenzhi Liao; Frieke Van Coillie; Liwei Li 001; Bin Zhao; Lianru Gao; Wilfried Philips; Bing Zhang 001 (IGARSS, 2017)

Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images. - Chi Liu; Wenzhi Liao; Heng-Chao Li 001; Wilfried Philips (IGARSS, 2017)

Cloud implementation of hyperspectral image restoration with PCA and total variation based on Spark. - Xianliang Yin; Zebin Wu 001; Wenzhi Liao; Zhihui Wei; Chao Tan (IGARSS, 2017)

A comparison on multiple level features for fusion of hyperspectral and LiDAR data. - Wenzhi Liao; Aleksandra Pizurica; Renbo Luo; Wilfried Philips (JURSE, 2017)

Information extraction from remote sensing imagery. - Xin Huang 002; Jiayi Li 001; Wenzhi Liao; Jocelyn Chanussot (Geo spatial Inf. Sci., 2017)

Detection of leaf structures in close-range hyperspectral images using morphological fusion. - Gladys Villegas; Wenzhi Liao; Ronald Criollo; Wilfried Philips; Daniel Ochoa 001 (Geo spatial Inf. Sci., 2017)

A new kernel method for hyperspectral image feature extraction. - Bin Zhao; Lianru Gao; Wenzhi Liao; Bing Zhang 001 (Geo spatial Inf. Sci., 2017)

Detecting Road Intersections from GPS Traces Using Longest Common Subsequence Algorithm. - Xingzhe Xie; Wenzhi Liao; Hamid K. Aghajan; Peter Veelaert; Wilfried Philips (ISPRS Int. J. Geo Inf., 2017)

Multiscale Superpixel-Level Subspace-Based Support Vector Machines for Hyperspectral Image Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001; Aleksandra Pizurica; Wilfried Philips (IEEE Geosci. Remote. Sens. Lett., 2017)

Optimized Kernel Minimum Noise Fraction Transformation for Hyperspectral Image Classification. - Lianru Gao; Bin Zhao; Xiuping Jia; Wenzhi Liao; Bing Zhang 001 (Remote. Sens., 2017)

Fusion of Hyperspectral and LiDAR Data for Classification of Cloud-Shadow Mixed Remote Sensed Scene. - Renbo Luo; Wenzhi Liao; Hongyan Zhang 001; Liangpei Zhang 001; Paul Scheunders; Youguo Pi; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Centralized Collaborative Sparse Unmixing for Hyperspectral Images. - Rui Wang 090; Heng-Chao Li 001; Wenzhi Liao; Xin Huang 002; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Semantic Classification of Urban Trees Using Very High Resolution Satellite Imagery. - Dawei Wen; Xin Huang 002; Hui Liu; Wenzhi Liao; Liangpei Zhang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Cocoa bean quality assessment using closed range hyperspectral images. - Oswaldo Bayona; Daniel Ochoa 001; Ronald Criollo; Juan Cevallos-Cevallos; Wenzhi Liao (APSIPA, 2018)

CNN-based Large Scale Landsat Image Classification. - Xuemei Zhao; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Wenzhi Liao (APSIPA, 2018)

Dense Pyramid Network for Semantic Segmentation of High Resolution Aerial Imagery. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (BICS, 2018)

Occlusion-robust Detector Trained with Occluded Pedestrians. - Zhixin Guo; Wenzhi Liao; Peter Veelaert; Wilfried Philips (ICPRAM, 2018)

MRF-Based Decision Fusion for Hyperspectral Image Classification. - Vera Andrejchenko; Rob Heylen; Wenzhi Liao; Wilfried Philips; Paul Scheunders (IGARSS, 2018)

Banana Disease Detection by Fusion of Close Range Hyperspectral Image and High-Resolution Rgb Image. - Wenzhi Liao; Daniel Ochoa 001; Yongqiang Zhao 001; Gladys Maria Villegas Rugel; Wilfried Philips (IGARSS, 2018)

Potential Analysis of Feature Extraction Based Quick Response for Environmental Change with Social Media Photos. - Yuanfeng Wu; Lianru Gao; Wenzhi Liao; Paolo Gamba; Bing Zhang 001 (IGARSS, 2018)

Global Spatial and Local Spectral Similarity-Based Group Sparse Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Paolo Gamba; Bing Zhang 001 (IGARSS, 2018)

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping. - Wenzhi Liao; Frieke Van Coillie; Lianru Gao; Liwei Li 001; Bing Zhang 001; Jocelyn Chanussot (IEEE Access, 2018)

Total Variation and Rank-1 Constraint RPCA for Background Subtraction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (IEEE Access, 2018)

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Jürgen Vangeyte; Aleksandra Pizurica; Yong He 001; Jan G. Pieters (Int. J. Appl. Earth Obs. Geoinformation, 2018)

Spatiotemporal change patterns of urban lakes in China's major cities between 1990 and 2015. - Cong Xie; Xin Huang 002; Leiguang Wang; Xing Fang; Wenzhi Liao (Int. J. Digit. Earth, 2018)

An Occlusion-Robust Feature Selection Framework in Pedestrian Detection. - Zhixin Guo; Wenzhi Liao; Yifan Xiao; Peter Veelaert; Wilfried Philips (Sensors, 2018)

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network. - Xuran Pan; Lianru Gao; Bing Zhang 001; Fan Yang; Wenzhi Liao (Sensors, 2018)

Group Sparse Representation Based on Nonlocal Spatial and Local Spectral Similarity for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001 (Sensors, 2018)

Foreword to the Special Issue on Hyperspectral Remote Sensing and Imaging Spectroscopy. - Saurabh Prasad; Wenzi Liao; Mingyi He; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Unsupervised Classification of Multilook Polarimetric SAR Data Using Spatially Variant Wishart Mixture Model with Double Constraints. - Chi Liu; Wenzhi Liao; Heng-Chao Li 001; Kun Fu 001; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2018)

Joint Spatial and Spectral Low-Rank Regularization for Hyperspectral Image Denoising. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Seong G. Kong (IEEE Trans. Geosci. Remote. Sens., 2018)

Deep Learning Fusion of RGB and Depth Images for Pedestrian Detection. - Zhixin Guo; Wenzhi Liao; Yifan Xiao; Peter Veelaert; Wilfried Philips (BMVC, 2019)

Morphological Analysis for Banana Disease Detection in Close Range Hyperspectral Remote Sensing Images. - Wenzhi Liao; Daniel Ochoa 001; Lianru Gao; Bing Zhang 001; Wilfried Philips (IGARSS, 2019)

Semi-Supervised Classification of Polarimetric SAR Images Using Markov Random Field and Two-Level Wishart Mixture Model. - Chi Liu; Wenzhi Liao; Heng-Chao Li 001; Rui Wang 090; Wilfried Philips (IGARSS, 2019)

Hyper-Laplacian regularized nonlocal low-rank matrix recovery for hyperspectral image compressive sensing reconstruction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Inf. Sci., 2019)

Nonconvex tensor rank minimization and its applications to tensor recovery. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Inf. Sci., 2019)

New margin-based subsampling iterative technique in modified random forests for classification. - Wei Feng 004; Gabriel Dauphin; Wenjiang Huang; Yinghui Quan; Wenzhi Liao (Knowl. Based Syst., 2019)

An Entropy and MRF Model-Based CNN for Large-Scale Landsat Image Classification. - Xuemei Zhao; Lianru Gao; Zhengchao Chen; Bing Zhang 001; Wenzhi Liao; Xuan Yang (IEEE Geosci. Remote. Sens. Lett., 2019)

Separable-spectral convolution and inception network for hyperspectral image super-resolution. - Ke Zheng; Lianru Gao; Qiong Ran; Ximin Cui; Bing Zhang 001; Wenzhi Liao; Sen Jia 001 (Int. J. Mach. Learn. Cybern., 2019)

Decision Fusion Framework for Hyperspectral Image Classification Based on Markov and Conditional Random Fields. - Vera Andrejchenko; Wenzhi Liao; Wilfried Philips; Paul Scheunders (Remote. Sens., 2019)

Nonlocal Tensor Sparse Representation and Low-Rank Regularization for Hyperspectral Image Compressive Sensing Reconstruction. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (Remote. Sens., 2019)

Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2019)

Variational Textured Dirichlet Process Mixture Model With Pairwise Constraint for Unsupervised Classification of Polarimetric SAR Images. - Chi Liu; Heng-Chao Li 001; Wenzhi Liao; Wilfried Philips; William J. Emery (IEEE Trans. Image Process., 2019)

Optimized highway deep learning network for fast single image super-resolution reconstruction. - Viet Khanh Ha; Jinchang Ren; Xinying Xu; Wenzhi Liao; Sophia Zhao; Jie Ren 014; Gaowei Yan (J. Real Time Image Process., 2020)

Hyperspectral and LiDAR Classification With Semisupervised Graph Fusion. - Junshi Xia; Wenzhi Liao; Peijun Du (IEEE Geosci. Remote. Sens. Lett., 2020)

Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. - Haoyang Yu 001; Lianru Gao; Wenzhi Liao; Bing Zhang 001; Lina Zhuang; Meiping Song; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2020)

Joint Classification of Hyperspectral and LiDAR Data Using Hierarchical Random Walk and Deep CNN Architecture. - Xudong Zhao 003; Ran Tao 003; Wei Li 032; Heng-Chao Li 001; Qian Du 001; Wenzhi Liao; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2020)

Enhanced Sparsity Prior Model for Low-Rank Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Wenzhi Liao; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Neural Networks Learn. Syst., 2020)

FLOPs-efficient filter pruning via transfer scale for neural network acceleration. - Zhixin Guo; Yifan Xiao; Wenzhi Liao; Peter Veelaert; Wilfried Philips (J. Comput. Sci., 2021)

Weak segmentation supervised deep neural networks for pedestrian detection. - Zhixin Guo; Wenzhi Liao; Yifan Xiao; Peter Veelaert; Wilfried Philips (Pattern Recognit., 2021)

Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution. - Ke Zheng; Lianru Gao; Wenzhi Liao; Danfeng Hong; Bing Zhang 001; Ximin Cui; Jocelyn Chanussot (IEEE Trans. Geosci. Remote. Sens., 2021)

Spatial-Spectral Structured Sparse Low-Rank Representation for Hyperspectral Image Super-Resolution. - Jize Xue; Yongqiang Zhao 001; Yuanyang Bu; Wenzhi Liao; Jonathan Cheung-Wai Chan; Wilfried Philips (IEEE Trans. Image Process., 2021)

Multisource Cross-Scene Classification Using Fractional Fusion and Spatial-Spectral Domain Adaptation. - Xudong Zhao 003; Mengmeng Zhang; Ran Tao 003; Wei Li 032; Wenzhi Liao; Wilfried Philips (IGARSS, 2022)

Multisource Remote Sensing Data Classification Using Fractional Fourier Transformer. - Xudong Zhao 003; Mengmeng Zhang; Ran Tao 003; Wei Li 032; Wenzhi Liao; Wilfried Philips (IGARSS, 2022)

Transferring learned patterns from ground-based field imagery to predict UAV-based imagery for crop and weed semantic segmentation in precision crop farming. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Erik Alexandersson; Jan G. Pieters (CoRR, 2022)

MC-JAFN: Multilevel Contexts-Based Joint Attentive Fusion Network for Pansharpening. - Zhikang Xiang; Liang Xiao 001; Wenzhi Liao; Wilfried Philips (IEEE Geosci. Remote. Sens. Lett., 2022)

Cross-Domain Classification of Multisource Remote Sensing Data Using Fractional Fusion and Spatial-Spectral Domain Adaptation. - Xudong Zhao 003; Mengmeng Zhang; Ran Tao 003; Wei Li 032; Wenzhi Liao; Wilfried Philips (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Adaptive Distance-Based Band Hierarchy (ADBH) for Effective Hyperspectral Band Selection. - He Sun 009; Jinchang Ren; Huimin Zhao 001; Genyun Sun; Wenzhi Liao; Zhenyu Fang; Jaime Zabalza (IEEE Trans. Cybern., 2022)

Detail-Injection-Model-Inspired Deep Fusion Network for Pansharpening. - Zhikang Xiang; Liang Xiao 001; Jingxiang Yang; Wenzhi Liao; Wilfried Philips (IEEE Trans. Geosci. Remote. Sens., 2022)

Fractional Gabor Convolutional Network for Multisource Remote Sensing Data Classification. - Xudong Zhao 003; Ran Tao 003; Wei Li 032; Wilfried Philips; Wenzhi Liao (IEEE Trans. Geosci. Remote. Sens., 2022)

Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion. - Jize Xue; Yongqiang Zhao 001; Shaoguang Huang; Wenzhi Liao; Jonathan Cheung-Wai Chan; Seong G. Kong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Optimal Wavelength Selection for Deep Learning from Hyperspectral Images. - Sam Dehaeck; R. Van Belleghem; Niels Wouters; Bart De Ketelaere; Wenzhi Liao (IbPRIA, 2023)

Siamese Recurrent Residual Refinement Network for High-Resolution Image Change Detection. - Chengwei Huang; Ling Hu; Wenzhi Liao; Liang Xiao 001 (IGARSS, 2023)

A Multi-Scale Deep Feature Learning and Semantic Enhancement Approach for Remote Sensing Scene Classification. - Hengyi Huang; Wenzhen Wang; Wenzhi Liao; Liang Xiao 001 (IGARSS, 2023)

Integrating Low-Cost UAV and GCP-based Structure-from-Motion Techniques to Generate Very High-Resolution Orthoimage for Bamboo Forest Mapping and Individuals Segmentation. - Chinsu Lin; Wenzhi Liao; Satoshi Tatsuhara; Satoshi Suzuki; Sian-En Ma; Nova D. Doyog (IGARSS, 2023)

Panchromatic and Hyperspectral Image Fusion: Outcome of the 2022 WHISPERS Hyperspectral Pansharpening Challenge. - Gemine Vivone; Andrea Garzelli; Yang Xu 006; Wenzhi Liao; Jocelyn Chanussot (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Cross-Modal Graph Knowledge Representation and Distillation Learning for Land Cover Classification. - Wenzhen Wang; Fang Liu 034; Wenzhi Liao; Liang Xiao 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

CoRe: Contrastive and Restorative Self-Supervised Learning for Surface Defect Inspection. - Huangyuan Wu; Bin Li 024; Lianfang Tian; Zhengzheng Sun; Chao Dong 007; Wenzhi Liao (IEEE Trans. Instrum. Meas., 2023)

Adaptive Anchor Matching Strategy for Face Detection. - Zhengzheng Sun; Lianfang Tian; Qiliang Du; Wenzhi Liao; Zhaolin Wang (IEEE Trans. Circuits Syst. Video Technol., 2023)

Frequency-to-spectrum mapping GAN for semisupervised hyperspectral anomaly detection. - Degang Wang; Lianru Gao; Ying Qu 001; Xu Sun 005; Wenzhi Liao (CAAI Trans. Intell. Technol., 2023)

Cross-domain transfer learning for weed segmentation and mapping in precision farming using ground and UAV images. - Junfeng Gao; Wenzhi Liao; David Nuyttens; Peter Lootens; Wenxin Xue; Erik Alexandersson; Jan G. Pieters (Expert Syst. Appl., 2024)

Salient feature fusion convolutional network for multi-class meters detection. - Zhaolin Wang; Lianfang Tian; Qiliang Du; Zhengzheng Sun; Wenzhi Liao (Signal Image Video Process., 2024)

Robust Pointer Meter Reading Recognition Method Under Image Corruption. - Zhaolin Wang; Lianfang Tian; Qiliang Du; Yi An; Zhengzheng Sun; Wenzhi Liao (IEEE Trans. Instrum. Meas., 2024)

Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification. - Xudong Zhao 003; Mengmeng Zhang; Ran Tao 003; Wei Li 032; Wenzhi Liao; Lianfang Tian; Wilfried Philips (IEEE Trans. Neural Networks Learn. Syst., 2024)

Distribution-balanced augmentation for rough data driven object detection. - Zhaolin Wang; Lianfang Tian; Qiliang Du; Zhengzheng Sun; Yi An; Wenzhi Liao (Multim. Tools Appl., 2024)

A unified region and concept-level explainable artificial intelligence method for explainability and active learning of defect segmentation model. - Huangyuan Wu; Bin Li 024; Lianfang Tian; Chao Dong 007; Wenzhi Liao (Eng. Appl. Artif. Intell., 2025)

CoRev2: A Unified Contrastive and Restorative Self-Supervised Learning Method With Masked Prompting Tuning for Surface Defect Inspection. - Huangyuan Wu; Bin Li 024; Lianfang Tian; Chao Dong 007; Wenzhi Liao; Yu Liu 014 (IEEE Trans. Instrum. Meas., 2025)