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ORCIDYongsheng Dong
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2020 – today
- 2024
[j50]Yongsheng Dong
, Luoyi Li, Lintao Zheng:
TSGAN: A two-stage interpretable learning method for image cartoonization. Neurocomputing 596: 127864 (2024)- [j49]Yongsheng Dong, Yafeng Liu, Xuelong Li:
MRMNet: Multi-scale residual multi-branch neural network for object detection. Neurocomputing 596: 127886 (2024) - 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. Neurocomputing 518: 440-452 (2023) - [j46]Qing Liu, Yongsheng Dong, Xuelong Li:
Multi-stage context refinement network for semantic segmentation. Neurocomputing 535: 53-63 (2023) - [j45]Yongsheng Dong, Longchao Shen, Yuanhua Pei, Haotian Yang, Xuelong Li:
Field-matching attention network for object detection. Neurocomputing 535: 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. Neurocomputing 487: 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. Neurocomputing 461: 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 Access 8: 103034-103046 (2020) - [j30]Chen Zhao, Xuelong Li, Yongsheng Dong:
Learning blur invariant binary descriptor for face recognition. Neurocomputing 404: 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)
2010 – 2019
- 2019
- [j27]Le Han, Xuelong Li, Yongsheng Dong:
Convolutional Edge Constraint-Based U-Net for Salient Object Detection. IEEE Access 7: 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 Access 7: 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 Access 7: 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. CoRR abs/1904.07429 (2019) - [i4]Xuelong Li, Kang Liu, Yongsheng Dong, Dacheng Tao:
Patch alignment manifold matting. CoRR abs/1904.07588 (2019) - [i3]Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao:
SCE: A manifold regularized set-covering method for data partitioning. CoRR abs/1904.08412 (2019) - [i2]Xuelong Li, Quanmao Lu, Yongsheng Dong, Dacheng Tao:
Robust subspace clustering by Cauchy loss function. CoRR abs/1904.12274 (2019) - [i1]Xuelong Li, Hongli Li, Yongsheng Dong:
Meta Learning for Task-Driven Video Summarization. CoRR abs/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 Access 6: 64416-64426 (2018) - [j19]Guosheng Cui, Xuelong Li, Yongsheng Dong:
Subspace clustering guided convex nonnegative matrix factorization. Neurocomputing 292: 38-48 (2018) - [j18]Quanmao Lu, Xuelong Li, Yongsheng Dong:
Structure preserving unsupervised feature selection. Neurocomputing 301: 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. IFIP TC12 ICIS 2018: 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. IVS 2016: 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. ChinaSIP 2015: 132-136 - [c8]Jianhua Shi, Xuelong Li, Yongsheng Dong:
How to represent scenes for classification? ChinaSIP 2015: 191-195 - [c7]Jinwang Feng, Yongsheng Dong, Lingfei Liang, Jiexin Pu:
Dominant-completed local binary pattern for texture classification. ICIA 2015: 233-238 - [c6]Lei Zhang, Jiexin Pu, Yongsheng Dong, Jinwang Feng, Yang Zhang:
Object recognition based on Gabor wavelet and SVM. ICIA 2015: 1153-1156 - 2014
- [c5]Lingfei Liang, Yongsheng Dong, Jiexin Pu:
Local estimation empirical mode decomposition and its application in image fusion. ICIA 2014: 31-34 - 2013
- [j3]Yongsheng Dong, Jinwen Ma:
Feature extraction through contourlet subband clustering for texture classification. Neurocomputing 116: 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
Coauthor Index
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