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• Yong-Sheng Dong

• 2026
• 
  [j74]
  Xiangyu Pei,Lintao Zheng,Yongsheng Dong:
  Selective kernel convolution manifold alignment network for arbitrary style transfer.Comput. Electr. Eng.129:110811 (2026)
• 
  [j73]
  Zhuoya Wang,Gui Chen,Yaxin Li,Yongsheng Dong:
  SASTD: Stepwise attention style transfer network based on diffusion models.Comput. Vis. Image Underst.264:104612 (2026)
• 
  [j72]
  Ruilin Zhang,Yongsheng Dong,Yaxin Li,Ruijuan Zheng,Lintao Zheng:
  Progressive feature aggregation network for image super-resolution.Neurocomputing664:132058 (2026)
• 
  [j71]
  Zhiqiang Jiang,Yongsheng Dong:
  Multi-layer fusion time-frequency network for long-term time series forecasting.Neurocomputing668:132400 (2026)
• 
  [j70]
  Yang Li,Yongsheng Dong,Siming Jia,Zhifan Li,Lintao Zheng,Yaxin Li,Ruijuan Zheng:
  Attention-driven feature enhancement network for object detection.Neurocomputing669:132028 (2026)
• 
  [j69]
  Yang Zhao,Yongsheng Dong:
  DU-Net: A Dual U-Net for semantic text-guided style transfer.J. Vis. Commun. Image Represent.115:104680 (2026)
• 
  [j68]
  Siming Jia,Yongsheng Dong,Lintao Zheng,Chongchong Mao,Lin Wang,Guoyong Wang:
  Attention-guided trilateral network for real-time semantic segmentation.Multim. Syst.32(1):49 (2026)
• 
  [j67]
  Yongsheng Dong,Chongchong Mao,Lintao Zheng,Qingtao Wu,Mingchuan Zhang,Xuelong Li:
  AFPN: Alignment feature pyramid network for real-time semantic segmentation.Pattern Recognit.170:112019 (2026)
• 
  [j66]
  Yongsheng Dong,Hongjie Zhou,Ruijuan Zheng,Xuelong Li:
  Dual-frequency awareness network for lightweight super resolution.Pattern Recognit.171:112308 (2026)
• 
  [i6]
  Huichao Zhang,Liao Qu,Yiheng Liu,Hang Chen,Yangyang Song,Yongsheng Dong,Shikun Sun,Xian Li,Xu Wang,Yi Jiang,Hu Ye,Bo Chen,Yiming Gao,Peng Liu,Akide Liu,Zhipeng Yang,Qili Deng,Linjie Xing,Jiyang Liu,Zhao Wang,Yang Zhou,Mingcong Liu,Yi Zhang,Qian He,Xiwei Hu,Zhongqi Qi,Jie Shao,Zhiye Fu,Shuai Wang,Fangmin Chen,Xuezhi Chai,Zhihua Wu,Yitong Wang,Zehuan Yuan,Daniel K. Du,Xinglong Wu:
  NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation.CoRRabs/2601.02204 (2026)
• 2025
• 
  [j65]
  Luoyi Li,Lintao Zheng,Chunlei Yang,Yongsheng Dong:
  GAL-GAN: Global styles and local high-frequency learning based generative adversarial network for image cartoonization.Comput. Electr. Eng.123:110164 (2025)
• 
  [j64]
  Yafeng Liu,Yongsheng Dong:
  CSPPNet: Cascade space pyramid pooling network for object detection.Comput. Vis. Image Underst.258:104377 (2025)
• 
  [j63]
  Chongchong Mao,Yongsheng Dong,Lintao Zheng,Ziang Jiao:
  Gated-enhanced attention addition network for indoor RGB-D semantic segmentation.Comput. Vis. Image Underst.262:104534 (2025)
• 
  [j62]
  Yongsheng Dong,Chongchong Mao,Lintao Zheng,Qingtao Wu:
  DMANet: Dual-branch multiscale attention network for real-time semantic segmentation.Neurocomputing617:128991 (2025)
• 
  [j61]
  Yongsheng Dong,Hongjie Zhou,Lintao Zheng,Xiaohong Wang,Jinwen Ma:
  Cross dropout based dynamic learning for blind super resolution.Neurocomputing620:129234 (2025)
• 
  [j60]
  Yongsheng Dong,Naixin Lu,Xuelong Li:
  Dense attention networks for texture classification.Neurocomputing634:129833 (2025)
• 
  [j59]
  Siming Jia,Yongsheng Dong,Chongchong Mao,Lintao Zheng,Yaxin Li,Kang Liu:
  Multi-Path Feature Enhancement Network for real-time semantic segmentation.Neurocomputing637:130099 (2025)
• 
  [j58]
  Yongsheng Dong,Shichao Fan,Lintao Zheng,Mingchuan Zhang,Qingtao Wu:
  AttenStyler: Text-image style transfer based on attention mechanism.Neurocomputing638:130075 (2025)
• 
  [j57]
  Yongsheng Dong,Songtao Liu,Yaxin Li,Lintao Zheng:
  Aesthetic-aware adversarial learning network for artistic style transfer.Neurocomputing646:130431 (2025)
• 
  [j56]
  Yu Zhang,Yongsheng Dong,Xiangyu Pei:
  CSPANet: cross-route statistical partition attention network for style transfer.Neurocomputing653:131091 (2025)
• 
  [j55]
  Haotian Yang,Yongsheng Dong,Lintao Zheng:
  APTNet: Attention-refined progressive three-branch network for real-time semantic segmentation.J. Vis. Commun. Image Represent.113:104594 (2025)
• 
  [j54]
  Ziang Jiao,Yongsheng Dong,Chongchong Mao,Lintao Zheng:
  Dual-Branch Cross Weighting Network for Multimodal Hyperspectral Unmixing.IEEE Geosci. Remote. Sens. Lett.22:1-5 (2025)
• 
  [j53]
  Jiali Xing,Siming Jia,Lintao Zheng,Yongsheng Dong:
  Attention-nested dual-branch network in real-time semantic segmentation.Int. J. Mach. Learn. Cybern.16(11):9649-9664 (2025)
• 
  [j52]
  Zhumu Fu,Yueyang Wang,Fazhan Tao,Nan Wang,Yongsheng Dong:
  Adaptive Fuzzy Fixed-Time Control for Stochastic Nonstrict Nonlinear Systems With Unknown Backlash-Like Hysteresis.IEEE Trans. Syst. Man Cybern. Syst.55(2):1286-1297 (2025)
• 2024
• 
  [j51]
  Yongsheng Dong,Luoyi Li,Lintao Zheng:
  TSGAN: A two-stage interpretable learning method for image cartoonization.Neurocomputing596:127864 (2024)
• 
  [j50]
  Yongsheng Dong,Yafeng Liu,Xuelong Li:
  MRMNet: Multi-scale residual multi-branch neural network for object detection.Neurocomputing596:127886 (2024)
• 
  [j49]
  Yongsheng Dong,Yu Zhang,Xuelong Li:
  Dual-Encoding Matching Adversarial Learning for Image Cartoonlization.IEEE Trans. Circuits Syst. Video Technol.34(12):12301-12315 (2024)
• 
  [c15]
  Yongsheng Dong,Haotian Zhou,Junxian Zhou,Huasong Min:
  Visual Weld Seam Tracking Through Feature-Fused Kernelized Correlation Filters and Generative Adversarial Networks.ICIRA (8)2024:392-408
• 2023
• 
  [j48]
  Yongsheng Dong,Kaiyuan Zhao,Lintao Zheng,Haotian Yang,Qing Liu,Yuanhua Pei:
  Refinement Co-supervision network for real-time semantic segmentation.IET Comput. Vis.17(6):652-662 (2023)
• 
  [j47]
  Hongli Li,Yongsheng Dong,Xuelong Li:
  Object-aware bounding box regression for online multi-object tracking.Neurocomputing518:440-452 (2023)
• 
  [j46]
  Qing Liu,Yongsheng Dong,Xuelong Li:
  Multi-stage context refinement network for semantic segmentation.Neurocomputing535:53-63 (2023)
• 
  [j45]
  Yongsheng Dong,Longchao Shen,Yuanhua Pei,Haotian Yang,Xuelong Li:
  Field-matching attention network for object detection.Neurocomputing535:123-133 (2023)
• 
  [j44]
  Qing Liu,Yongsheng Dong,Zhiqiang Jiang,Yuanhua Pei,Boshi Zheng,Lintao Zheng,Zhumu Fu:
  Multi-Pooling Context Network for Image Semantic Segmentation.Remote. Sens.15(11):2800 (2023)
• 
  [j43]
  Dawei Song,Yongsheng Dong,Xuelong Li:
  Adjacent Complementary Network for Salient Object Detection in Optical Remote Sensing Images.IEEE Trans. Geosci. Remote. Sens.61:1-11 (2023)
• 
  [c14]
  Longchao Shen,Yongsheng Dong,Yuanhua Pei,Haotian Yang,Lintao Zheng,Jinwen Ma:
  One-Dimensional Feature Supervision Network for Object Detection.ICIC (5)2023:147-156
• 2022
• 
  [j42]
  Haochen Sun,Zhumu Fu,Fazhan Tao,Yongsheng Dong,Baofeng Ji:
  Machine-learning-based hybrid recognition approach for longitudinal driving behavior in noisy environment.Eng. Appl. Artif. Intell.114:104990 (2022)
• 
  [j41]
  Hongli Li,Yongsheng Dong,Xuelong Li:
  Online association by continuous-discrete appearance similarity measurement for multi-object tracking.Neurocomputing487:86-98 (2022)
• 
  [j40]
  Dawei Song,Yongsheng Dong,Xuelong Li:
  Context and Difference Enhancement Network for Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.15:9457-9467 (2022)
• 
  [j39]
  Xuelong Li,Xinxin Zhang,Yuan Yuan,Yongsheng Dong:
  Adaptive Relationship Preserving Sparse NMF for Hyperspectral Unmixing.IEEE Trans. Geosci. Remote. Sens.60:1-16 (2022)
• 
  [j38]
  Ganchao Liu,Yuan Yuan,Yuelin Zhang,Yongsheng Dong,Xuelong Li:
  Style Transformation-Based Spatial-Spectral Feature Learning for Unsupervised Change Detection.IEEE Trans. Geosci. Remote. Sens.60:1-15 (2022)
• 
  [j37]
  Yongsheng Dong,Wei Tan,Dacheng Tao,Lintao Zheng,Xuelong Li:
  CartoonLossGAN: Learning Surface and Coloring of Images for Cartoonization.IEEE Trans. Image Process.31:485-498 (2022)
• 
  [j36]
  Longlong Zhu,Fazhan Tao,Zhumu Fu,Nan Wang,Baofeng Ji,Yongsheng Dong:
  Optimization Based Adaptive Cruise Control and Energy Management Strategy for Connected and Automated FCHEV.IEEE Trans. Intell. Transp. Syst.23(11):21620-21629 (2022)
• 
  [j35]
  Zhumu Fu,Haocong Wang,Fazhan Tao,Baofeng Ji,Yongsheng Dong,Shuzhong Song:
  Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Electric Vehicles Using Deep Reinforcement Learning With Action Trimming.IEEE Trans. Veh. Technol.71(7):7171-7185 (2022)
• 2021
• 
  [j34]
  Xinxin Zhang,Xuelong Li,Yongsheng Dong:
  Robust hyperspectral unmixing based on dual views with adaptive weights.Neurocomputing461:204-216 (2021)
• 
  [j33]
  Yongsheng Dong,Mingxin Jin,Xuelong Li,Jinwen Ma,Zhonghua Liu,Lin Wang,Lintao Zheng:
  Compact Interchannel Sampling Difference Descriptor for Color Texture Classification.IEEE Trans. Circuits Syst. Video Technol.31(5):1684-1696 (2021)
• 
  [j32]
  Dawei Song,Yongsheng Dong,Xuelong Li:
  Hierarchical Edge Refinement Network for Saliency Detection.IEEE Trans. Image Process.30:7567-7577 (2021)
• 2020
• 
  [j31]
  Mingxin Jin,Yongsheng Dong,Mingchuan Zhang,Qingtao Wu,Lintao Zheng,Bin Song,Lei Zhang,Lin Wang:
  Completed Extremely Nonnegative DMD for Color Texture Classification.IEEE Access8:103034-103046 (2020)
• 
  [j30]
  Chen Zhao,Xuelong Li,Yongsheng Dong:
  Learning blur invariant binary descriptor for face recognition.Neurocomputing404:34-40 (2020)
• 
  [j29]
  Xuelong Li,Hongli Li,Yongsheng Dong:
  Meta Learning for Task-Driven Video Summarization.IEEE Trans. Ind. Electron.67(7):5778-5786 (2020)
• 
  [j28]
  Xuelong Li,Dawei Song,Yongsheng Dong:
  Hierarchical Feature Fusion Network for Salient Object Detection.IEEE Trans. Image Process.29:9165-9175 (2020)

• 2019
• 
  [j27]
  Le Han,Xuelong Li,Yongsheng Dong:
  Convolutional Edge Constraint-Based U-Net for Salient Object Detection.IEEE Access7:48890-48900 (2019)
• 
  [j26]
  Yongsheng Dong,Tianyu Wang,Chunlei Yang,Lintao Zheng,Bin Song,Lin Wang,Mingxin Jin:
  Locally Directional and Extremal Pattern for Texture Classification.IEEE Access7:87931-87942 (2019)
• 
  [j25]
  Yongsheng Dong,Hongyan Zhang,Zhonghua Liu,Chunlei Yang,Guo-Sen Xie,Lintao Zheng,Lin Wang:
  Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation.IEEE Access7:93887-93897 (2019)
• 
  [j24]
  Ganchao Liu,Lingling Li,Licheng Jiao,Yongsheng Dong,Xuelong Li:
  Stacked Fisher autoencoder for SAR change detection.Pattern Recognit.96 (2019)
• 
  [j23]
  Yongsheng Dong,Huangbin Wu,Xuelong Li,Chuanqi Zhou,Qingtao Wu:
  Multiscale Symmetric Dense Micro-Block Difference for Texture Classification.IEEE Trans. Circuits Syst. Video Technol.29(12):3583-3594 (2019)
• 
  [j22]
  Xuelong Li,Quanmao Lu,Yongsheng Dong,Dacheng Tao:
  Robust Subspace Clustering by Cauchy Loss Function.IEEE Trans. Neural Networks Learn. Syst.30(7):2067-2078 (2019)
• 
  [j21]
  Chunlei Yang,Jiexin Pu,Yongsheng Dong,Guo-Sen Xie,Yanna Si,Zhonghua Liu:
  Scene classification-oriented saliency detection via the modularized prescription.Vis. Comput.35(4):473-488 (2019)
• 
  [i5]
  Mingxin Jin,Yongsheng Dong,Lintao Zheng,Lingfei Liang,Tianyu Wang,Hongyan Zhang:
  Shortest Paths in HSI Space for Color Texture Classification.CoRRabs/1904.07429 (2019)
• 
  [i4]
  Xuelong Li,Kang Liu,Yongsheng Dong,Dacheng Tao:
  Patch alignment manifold matting.CoRRabs/1904.07588 (2019)
• 
  [i3]
  Xuelong Li,Quanmao Lu,Yongsheng Dong,Dacheng Tao:
  SCE: A manifold regularized set-covering method for data partitioning.CoRRabs/1904.08412 (2019)
• 
  [i2]
  Xuelong Li,Quanmao Lu,Yongsheng Dong,Dacheng Tao:
  Robust subspace clustering by Cauchy loss function.CoRRabs/1904.12274 (2019)
• 
  [i1]
  Xuelong Li,Hongli Li,Yongsheng Dong:
  Meta Learning for Task-Driven Video Summarization.CoRRabs/1907.12342 (2019)
• 2018
• 
  [j20]
  Tianyu Wang,Yongsheng Dong,Chunlei Yang,Lin Wang,Lingfei Liang,Lintao Zheng,Jiexin Pu:
  Jumping and Refined Local Pattern for Texture Classification.IEEE Access6:64416-64426 (2018)
• 
  [j19]
  Guosheng Cui,Xuelong Li,Yongsheng Dong:
  Subspace clustering guided convex nonnegative matrix factorization.Neurocomputing292:38-48 (2018)
• 
  [j18]
  Quanmao Lu,Xuelong Li,Yongsheng Dong:
  Structure preserving unsupervised feature selection.Neurocomputing301:36-45 (2018)
• 
  [j17]
  Chunlei Yang,Xiangluo Wang,Jiexin Pu,Guo-Sen Xie,Zhonghua Liu,Yongsheng Dong,Lingfei Liang:
  Hybrid of extended locality-constrained linear coding and manifold ranking for salient object detection.J. Vis. Commun. Image Represent.56:27-37 (2018)
• 
  [j16]
  Xuelong Li,Kang Liu,Yongsheng Dong:
  Superpixel-Based Foreground Extraction With Fast Adaptive Trimaps.IEEE Trans. Cybern.48(9):2609-2619 (2018)
• 
  [j15]
  Xuelong Li,Guosheng Cui,Yongsheng Dong:
  Discriminative and Orthogonal Subspace Constraints-Based Nonnegative Matrix Factorization.ACM Trans. Intell. Syst. Technol.9(6):65:1-65:24 (2018)
• 
  [j14]
  Xuelong Li,Quanmao Lu,Yongsheng Dong,Dacheng Tao:
  SCE: A Manifold Regularized Set-Covering Method for Data Partitioning.IEEE Trans. Neural Networks Learn. Syst.29(5):1760-1773 (2018)
• 
  [j13]
  Xuelong Li,Kang Liu,Yongsheng Dong,Dacheng Tao:
  Patch Alignment Manifold Matting.IEEE Trans. Neural Networks Learn. Syst.29(7):3214-3226 (2018)
• 
  [j12]
  Yongsheng Dong,Jinwang Feng,Chunlei Yang,Xiaohong Wang,Lintao Zheng,Jiexin Pu:
  Multi-scale counting and difference representation for texture classification.Vis. Comput.34(10):1315-1324 (2018)
• 
  [c13]
  Mingxin Jin,Yongsheng Dong,Lintao Zheng,Lingfei Liang,Tianyu Wang,Hongyan Zhang:
  Shortest Paths in HSI Space for Color Texture Classification.ICIS2018:273-281
• 
  [c12]
  Le Han,Xuelong Li,Yongsheng Dong:
  SalNet: Edge Constraint Based End-to-End Model for Salient Object Detection.PRCV (4)2018:186-198
• 2017
• 
  [j11]
  Jinwang Feng,Xinliang Liu,Yongsheng Dong,Lingfei Liang,Jiexin Pu:
  Structural difference histogram representation for texture image classification.IET Image Process.11(2):118-125 (2017)
• 
  [j10]
  Yongsheng Dong,Jinwang Feng,Lingfei Liang,Lintao Zheng,Qingtao Wu:
  Multiscale Sampling Based Texture Image Classification.IEEE Signal Process. Lett.24(5):614-618 (2017)
• 
  [j9]
  Chunlei Yang,Jiexin Pu,Guo-Sen Xie,Yongsheng Dong,Zhonghua Liu:
  Extended Locality-Constrained Linear Self-Coding for Saliency Detection.IEEE Signal Process. Lett.24(10):1458-1462 (2017)
• 
  [j8]
  Xuelong Li,Guosheng Cui,Yongsheng Dong:
  Graph Regularized Non-Negative Low-Rank Matrix Factorization for Image Clustering.IEEE Trans. Cybern.47(11):3840-3853 (2017)
• 
  [j7]
  Xuelong Li,Guosheng Cui,Yongsheng Dong:
  Refined-Graph Regularization-Based Nonnegative Matrix Factorization.ACM Trans. Intell. Syst. Technol.9(1):1:1-1:21 (2017)
• 
  [j6]
  Chunlei Yang,Jiexin Pu,Yongsheng Dong,Zhonghua Liu,Lingfei Liang,Xiaohong Wang:
  Salient object detection in complex scenes via D-S evidence theory based region classification.Vis. Comput.33(11):1415-1428 (2017)
• 2016
• 
  [c11]
  Quanmao Lu,Xuelong Li,Yongsheng Dong,Dacheng Tao:
  Subspace Clustering by Capped l_1 l 1 Norm.CCPR (1)2016:663-674
• 
  [c10]
  Shi Qiu,Yongsheng Dong,Xiaoqiang Lu,Ming Du:
  Gestalt Principle Based Change Detection and Background Reconstruction.IVS2016:20-29
• 2015
• 
  [j5]
  Yongsheng Dong,Dacheng Tao,Xuelong Li,Jinwen Ma,Jiexin Pu:
  Texture Classification and Retrieval Using Shearlets and Linear Regression.IEEE Trans. Cybern.45(3):358-369 (2015)
• 
  [j4]
  Yongsheng Dong,Dacheng Tao,Xuelong Li:
  Nonnegative Multiresolution Representation-Based Texture Image Classification.ACM Trans. Intell. Syst. Technol.7(1):4:1-4:21 (2015)
• 
  [c9]
  Kang Liu,Xuelong Li,Yongsheng Dong:
  Superpixel fats for fast foreground extraction.ChinaSIP2015:132-136
• 
  [c8]
  Jianhua Shi,Xuelong Li,Yongsheng Dong:
  How to represent scenes for classification?ChinaSIP2015:191-195
• 
  [c7]
  Jinwang Feng,Yongsheng Dong,Lingfei Liang,Jiexin Pu:
  Dominant-completed local binary pattern for texture classification.ICIA2015:233-238
• 
  [c6]
  Lei Zhang,Jiexin Pu,Yongsheng Dong,Jinwang Feng,Yang Zhang:
  Object recognition based on Gabor wavelet and SVM.ICIA2015:1153-1156
• 2014
• 
  [c5]
  Lingfei Liang,Yongsheng Dong,Jiexin Pu:
  Local estimation empirical mode decomposition and its application in image fusion.ICIA2014:31-34
• 2013
• 
  [j3]
  Yongsheng Dong,Jinwen Ma:
  Feature extraction through contourlet subband clustering for texture classification.Neurocomputing116:157-164 (2013)
• 2012
• 
  [j2]
  Yongsheng Dong,Jinwen Ma:
  Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures.IEEE Trans. Image Process.21(3):909-918 (2012)
• 
  [c4]
  Yongsheng Dong,Jinwen Ma:
  Statistical Contourlet Subband Characterization for Texture Image Retrieval.ICIC (2)2012:495-502
• 
  [c3]
  Yongsheng Dong,Jinwen Ma:
  An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence.ISNN (2)2012:46-55
• 2011
• 
  [j1]
  Yongsheng Dong,Jinwen Ma:
  Wavelet-Based Image Texture Classification Using Local Energy Histograms.IEEE Signal Process. Lett.18(4):247-250 (2011)
• 
  [c2]
  Yongsheng Dong,Jinwen Ma:
  Texture Classification Based on Contourlet Subband Clustering.ICIC (2)2011:421-426
• 
  [c1]
  Yongsheng Dong,Jinwen Ma:
  Contourlet-Based Texture Classification with Product Bernoulli Distributions.ISNN (2)2011:9-18

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