Texture Classification Based on Contourlet Subband Clustering. - Yongsheng Dong; Jinwen Ma (ICIC (2), 2011)

Contourlet-Based Texture Classification with Product Bernoulli Distributions. - Yongsheng Dong; Jinwen Ma (ISNN (2), 2011)

Wavelet-Based Image Texture Classification Using Local Energy Histograms. - Yongsheng Dong; Jinwen Ma (IEEE Signal Process. Lett., 2011)

Statistical Contourlet Subband Characterization for Texture Image Retrieval. - Yongsheng Dong; Jinwen Ma (ICIC (2), 2012)

An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence. - Yongsheng Dong; Jinwen Ma (ISNN (2), 2012)

Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures. - Yongsheng Dong; Jinwen Ma (IEEE Trans. Image Process., 2012)

Feature extraction through contourlet subband clustering for texture classification. - Yongsheng Dong; Jinwen Ma (Neurocomputing, 2013)

Local estimation empirical mode decomposition and its application in image fusion. - Lingfei Liang; Yongsheng Dong; Jiexin Pu (ICIA, 2014)

Superpixel fats for fast foreground extraction. - Kang Liu 014; Xuelong Li 001; Yongsheng Dong (ChinaSIP, 2015)

How to represent scenes for classification? - Jianhua Shi; Xuelong Li 001; Yongsheng Dong (ChinaSIP, 2015)

Dominant-completed local binary pattern for texture classification. - Jinwang Feng; Yongsheng Dong; Lingfei Liang; Jiexin Pu (ICIA, 2015)

Object recognition based on Gabor wavelet and SVM. - Lei Zhang 134; Jiexin Pu; Yongsheng Dong; Jinwang Feng; Yang Zhang (ICIA, 2015)

Texture Classification and Retrieval Using Shearlets and Linear Regression. - Yongsheng Dong; Dacheng Tao; Xuelong Li 001; Jinwen Ma; Jiexin Pu (IEEE Trans. Cybern., 2015)

Nonnegative Multiresolution Representation-Based Texture Image Classification. - Yongsheng Dong; Dacheng Tao; Xuelong Li 001 (ACM Trans. Intell. Syst. Technol., 2015)

Subspace Clustering by Capped l_1 l 1 Norm. - Quanmao Lu; Xuelong Li 001; Yongsheng Dong; Dacheng Tao (CCPR (1), 2016)

Gestalt Principle Based Change Detection and Background Reconstruction. - Shi Qiu; Yongsheng Dong; Xiaoqiang Lu; Ming Du (IVS, 2016)

Structural difference histogram representation for texture image classification. - Jinwang Feng; Xinliang Liu; Yongsheng Dong; Lingfei Liang; Jiexin Pu (IET Image Process., 2017)

Multiscale Sampling Based Texture Image Classification. - Yongsheng Dong; Jinwang Feng; Lingfei Liang; Lintao Zheng; Qingtao Wu (IEEE Signal Process. Lett., 2017)

Extended Locality-Constrained Linear Self-Coding for Saliency Detection. - Chunlei Yang; Jiexin Pu; Guo-Sen Xie; Yongsheng Dong; Zhonghua Liu (IEEE Signal Process. Lett., 2017)

Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering. - Xuelong Li 001; Guosheng Cui; Yongsheng Dong (IEEE Trans. Cybern., 2017)

Refined-Graph Regularization-Based Nonnegative Matrix Factorization. - Xuelong Li 001; Guosheng Cui; Yongsheng Dong (ACM Trans. Intell. Syst. Technol., 2017)

Salient object detection in complex scenes via D-S evidence theory based region classification. - Chunlei Yang; Jiexin Pu; Yongsheng Dong; Zhonghua Liu; Lingfei Liang; Xiaohong Wang (Vis. Comput., 2017)

Shortest Paths in HSI Space for Color Texture Classification. - Mingxin Jin; Yongsheng Dong; Lintao Zheng; Lingfei Liang; Tianyu Wang; Hongyan Zhang (ICIS, 2018)

SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection. - Le Han; Xuelong Li 001; Yongsheng Dong (PRCV (4), 2018)

Jumping and Refined Local Pattern for Texture Classification. - Tianyu Wang; Yongsheng Dong; Chunlei Yang; Lin Wang 039; Lingfei Liang; Lintao Zheng; Jiexin Pu (IEEE Access, 2018)

Subspace clustering guided convex nonnegative matrix factorization. - Guosheng Cui; Xuelong Li 001; Yongsheng Dong (Neurocomputing, 2018)

Structure preserving unsupervised feature selection. - Quanmao Lu; Xuelong Li 001; Yongsheng Dong (Neurocomputing, 2018)

Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection. - Chunlei Yang; Xiangluo Wang; Jiexin Pu; Guo-Sen Xie; Zhonghua Liu; Yongsheng Dong; Lingfei Liang (J. Vis. Commun. Image Represent., 2018)

Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps. - Xuelong Li 001; Kang Liu 014; Yongsheng Dong (IEEE Trans. Cybern., 2018)

Discriminative and Orthogonal Subspace Constraints-Based Nonnegative Matrix Factorization. - Xuelong Li 001; Guosheng Cui; Yongsheng Dong (ACM Trans. Intell. Syst. Technol., 2018)

SCE: A Manifold Regularized Set-Covering Method for Data Partitioning. - Xuelong Li 001; Quanmao Lu; Yongsheng Dong; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Patch Alignment Manifold Matting. - Xuelong Li 001; Kang Liu 014; Yongsheng Dong; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multi-scale counting and difference representation for texture classification. - Yongsheng Dong; Jinwang Feng; Chunlei Yang; Xiaohong Wang; Lintao Zheng; Jiexin Pu (Vis. Comput., 2018)

Locally Directional and Extremal Pattern for Texture Classification. - Yongsheng Dong; Tianyu Wang; Chunlei Yang; Lintao Zheng; Bin Song 007; Lin Wang 039; Mingxin Jin (IEEE Access, 2019)

Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation. - Yongsheng Dong; Hongyan Zhang; Zhonghua Liu; Chunlei Yang; Guo-Sen Xie; Lintao Zheng; Lin Wang 039 (IEEE Access, 2019)

Convolutional Edge Constraint-Based U-Net for Salient Object Detection. - Le Han; Xuelong Li 001; Yongsheng Dong (IEEE Access, 2019)

Stacked Fisher autoencoder for SAR change detection. - Ganchao Liu; Lingling Li 002; Licheng Jiao; Yongsheng Dong; Xuelong Li 001 (Pattern Recognit., 2019)

Multiscale Symmetric Dense Micro-Block Difference for Texture Classification. - Yongsheng Dong; Huangbin Wu; Xuelong Li 001; Chuanqi Zhou; Qingtao Wu (IEEE Trans. Circuits Syst. Video Technol., 2019)

Robust Subspace Clustering by Cauchy Loss Function. - Xuelong Li 001; Quanmao Lu; Yongsheng Dong; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Scene classification-oriented saliency detection via the modularized prescription. - Chunlei Yang; Jiexin Pu; Yongsheng Dong; Guo-Sen Xie; Yanna Si; Zhonghua Liu (Vis. Comput., 2019)

Completed Extremely Nonnegative DMD for Color Texture Classification. - Mingxin Jin; Yongsheng Dong; Mingchuan Zhang; Qingtao Wu; Lintao Zheng; Bin Song 007; Lei Zhang 134; Lin Wang 039 (IEEE Access, 2020)

Learning blur invariant binary descriptor for face recognition. - Chen Zhao 009; Xuelong Li 001; Yongsheng Dong (Neurocomputing, 2020)

Meta Learning for Task-Driven Video Summarization. - Xuelong Li 001; Hongli Li; Yongsheng Dong (IEEE Trans. Ind. Electron., 2020)

Hierarchical Feature Fusion Network for Salient Object Detection. - Xuelong Li 001; Dawei Song 003; Yongsheng Dong (IEEE Trans. Image Process., 2020)

Robust hyperspectral unmixing based on dual views with adaptive weights. - Xinxin Zhang; Xuelong Li 001; Yongsheng Dong (Neurocomputing, 2021)

Compact Interchannel Sampling Difference Descriptor for Color Texture Classification. - Yongsheng Dong; Mingxin Jin; Xuelong Li 001; Jinwen Ma; Zhonghua Liu; Lin Wang 039; Lintao Zheng (IEEE Trans. Circuits Syst. Video Technol., 2021)

Hierarchical Edge Refinement Network for Saliency Detection. - Dawei Song 003; Yongsheng Dong; Xuelong Li 001 (IEEE Trans. Image Process., 2021)

Machine-learning-based hybrid recognition approach for longitudinal driving behavior in noisy environment. - Haochen Sun 002; Zhumu Fu; Fazhan Tao; Yongsheng Dong; Baofeng Ji (Eng. Appl. Artif. Intell., 2022)

Online association by continuous-discrete appearance similarity measurement for multi-object tracking. - Hongli Li; Yongsheng Dong; Xuelong Li 001 (Neurocomputing, 2022)

Context and Difference Enhancement Network for Change Detection. - Dawei Song 003; Yongsheng Dong; Xuelong Li 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Adaptive Relationship Preserving Sparse NMF for Hyperspectral Unmixing. - Xuelong Li 001; Xinxin Zhang; Yuan Yuan 001; Yongsheng Dong (IEEE Trans. Geosci. Remote. Sens., 2022)

Style Transformation-Based Spatial-Spectral Feature Learning for Unsupervised Change Detection. - Ganchao Liu; Yuan Yuan 001; Yuelin Zhang; Yongsheng Dong; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

CartoonLossGAN: Learning Surface and Coloring of Images for Cartoonization. - Yongsheng Dong; Wei Tan; Dacheng Tao; Lintao Zheng; Xuelong Li 001 (IEEE Trans. Image Process., 2022)

Optimization Based Adaptive Cruise Control and Energy Management Strategy for Connected and Automated FCHEV. - Longlong Zhu; Fazhan Tao; Zhumu Fu; Nan Wang 018; Baofeng Ji; Yongsheng Dong (IEEE Trans. Intell. Transp. Syst., 2022)

Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming. - Zhumu Fu; Haocong Wang; Fazhan Tao; Baofeng Ji; Yongsheng Dong; Shuzhong Song (IEEE Trans. Veh. Technol., 2022)

One-Dimensional Feature Supervision Network for Object Detection. - Longchao Shen; Yongsheng Dong; Yuanhua Pei; Haotian Yang; Lintao Zheng; Jinwen Ma (ICIC (5), 2023)

Field-matching attention network for object detection. - Yongsheng Dong; Longchao Shen; Yuanhua Pei; Haotian Yang; Xuelong Li 001 (Neurocomputing, 2023)

Object-aware bounding box regression for online multi-object tracking. - Hongli Li; Yongsheng Dong; Xuelong Li 001 (Neurocomputing, 2023)

Multi-stage context refinement network for semantic segmentation. - Qing Liu; Yongsheng Dong; Xuelong Li 001 (Neurocomputing, 2023)

Multi-Pooling Context Network for Image Semantic Segmentation. - Qing Liu; Yongsheng Dong; Zhiqiang Jiang; Yuanhua Pei; Boshi Zheng; Lintao Zheng; Zhumu Fu (Remote. Sens., 2023)

Adjacent Complementary Network for Salient Object Detection in Optical Remote Sensing Images. - Dawei Song 003; Yongsheng Dong; Xuelong Li 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Refinement Co-supervision network for real-time semantic segmentation. - Yongsheng Dong; Kaiyuan Zhao; Lintao Zheng; Haotian Yang; Qing Liu; Yuanhua Pei (IET Comput. Vis., 2023)

Visual Weld Seam Tracking Through Feature-Fused Kernelized Correlation Filters and Generative Adversarial Networks. - Yongsheng Dong; Haotian Zhou; Junxian Zhou; Huasong Min (ICIRA (8), 2024)

MRMNet: Multi-scale residual multi-branch neural network for object detection. - Yongsheng Dong; Yafeng Liu; Xuelong Li 001 (Neurocomputing, 2024)

TSGAN: A two-stage interpretable learning method for image cartoonization. - Yongsheng Dong; Luoyi Li; Lintao Zheng (Neurocomputing, 2024)

Dual-Encoding Matching Adversarial Learning for Image Cartoonlization. - Yongsheng Dong; Yu Zhang; Xuelong Li 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

GAL-GAN: Global styles and local high-frequency learning based generative adversarial network for image cartoonization. - Luoyi Li; Lintao Zheng; Chunlei Yang; Yongsheng Dong (Comput. Electr. Eng., 2025)

CSPPNet: Cascade space pyramid pooling network for object detection. - Yafeng Liu; Yongsheng Dong (Comput. Vis. Image Underst., 2025)

AttenStyler: Text-image style transfer based on attention mechanism. - Yongsheng Dong; Shichao Fan; Lintao Zheng; Mingchuan Zhang; Qingtao Wu (Neurocomputing, 2025)

Dense attention networks for texture classification. - Yongsheng Dong; Naixin Lu; Xuelong Li 001 (Neurocomputing, 2025)

Aesthetic-aware adversarial learning network for artistic style transfer. - Yongsheng Dong; Songtao Liu; Yaxin Li; Lintao Zheng (Neurocomputing, 2025)

DMANet: Dual-branch multiscale attention network for real-time semantic segmentation. - Yongsheng Dong; Chongchong Mao; Lintao Zheng; Qingtao Wu (Neurocomputing, 2025)

Cross dropout based dynamic learning for blind super resolution. - Yongsheng Dong; Hongjie Zhou; Lintao Zheng; Xiaohong Wang; Jinwen Ma (Neurocomputing, 2025)

Multi-Path Feature Enhancement Network for real-time semantic segmentation. - Siming Jia; Yongsheng Dong; Chongchong Mao; Lintao Zheng; Yaxin Li; Kang Liu (Neurocomputing, 2025)

CSPANet: cross-route statistical partition attention network for style transfer. - Yu Zhang; Yongsheng Dong; Xiangyu Pei (Neurocomputing, 2025)

Dual-Branch Cross Weighting Network for Multimodal Hyperspectral Unmixing. - Ziang Jiao; Yongsheng Dong; Chongchong Mao; Lintao Zheng (IEEE Geosci. Remote. Sens. Lett., 2025)

Adaptive Fuzzy Fixed-Time Control for Stochastic Nonstrict Nonlinear Systems With Unknown Backlash-Like Hysteresis. - Zhumu Fu; Yueyang Wang; Fazhan Tao; Nan Wang 018; Yongsheng Dong (IEEE Trans. Syst. Man Cybern. Syst., 2025)

AFPN: Alignment feature pyramid network for real-time semantic segmentation. - Yongsheng Dong; Chongchong Mao; Lintao Zheng; Qingtao Wu; Mingchuan Zhang; Xuelong Li (Pattern Recognit., 2026)