Yongsheng Liang

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 82

Top Topics

Optimization Problems

Cooperative Coevolution

Image Compression

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang
Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression. ICASSP (2024)
Peng Qin, Youneng Bao, Fanyang Meng, Wen Tan, Chao Li, Genhong Wang, Yongsheng Liang
Leveraging Redundancy in Feature for Efficient Learned Image Compression. ICASSP (2024)
Jiacong Chen, Qingyu Mao, Youneng Bao, Yingcong Huang, Fanyang Meng, Yongsheng Liang
Lightweight parameter de-redundancy demoiréing network with adaptive wavelet distillation. J. Real Time Image Process. 21 (1) (2024)
Xiaojia Zhao, Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Junxin Chen, Yicong Zhou
Self-Completed Bipartite Graph Learning for Fast Incomplete Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 34 (4) (2024)
Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu
Bandwidth-Efficient Inference for Nerual Image Compression. ICASSP (2024)
Qiangqiang Shen, Tingting Xu, Yongsheng Liang, Yongyong Chen, Zhenyu He
Robust Tensor Recovery for Incomplete Multi-View Clustering. IEEE Trans. Multim. 26 (2024)
Chao Li, Shanzhi Yin, Chuanmin Jia, Fanyang Meng, Yonghong Tian, Yongsheng Liang
Multirate Progressive Entropy Model for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang
Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. 33 (2024)
Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang
Nonlinear Transforms in Learned Image Compression From a Communication Perspective. IEEE Trans. Circuits Syst. Video Technol. 33 (4) (2023)
Youneng Bao, Wen Tan, Linfeng Zheng, Fanyang Meng, Wei Liu, Yongsheng Liang
Taylor series based dual-branch transformation for learned image compression. Signal Process. 212 (2023)
Yuting Hu, Wen Tan, Fanyang Meng, Yongsheng Liang
A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression. ICIP (2023)
Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42 (5) (2023)
Yanzi Li, Huo-Xiang Yang, Qingyu Mao, Fanyang Meng, Yongsheng Liang
MGAM: Mixed-Gaussian Attention Module for Convolutional Neural Networks. AIMLR (2023)
Qiangqiang Shen, Shuangyan Yi, Yongsheng Liang, Yongyong Chen, Wei Liu
Bilateral Fast Low-Rank Representation With Equivalent Transformation for Subspace Clustering. IEEE Trans. Multim. 25 (2023)
Jiaoyan Zhao, Yongsheng Liang, Shuangyan Yi, Qiangqiang Shen, Xiaofeng Cao
norm. Pattern Recognit. 138 (2023)
An Chen, Zhigang Ren, Wenhua Guo, Yongsheng Liang, Zuren Feng
An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization. IEEE Trans. Evol. Comput. 27 (3) (2023)
An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems. Inf. Sci. 622 (2023)
Shanzhi Yin, Tongda Xu, Yongsheng Liang, Yuanyuan Wang, Yanghao Li, Yan Wang, Jingjing Liu
Bandwidth-efficient Inference for Neural Image Compression. CoRR (2023)
Yingcong Huang, Qingyu Mao, Jiacong Chen, Yuqing Zhao, Fanyang Meng, Yongsheng Liang
Frequency Domain Based Optimization for Image Demoireing. AIMLR (2023)
Can Luo, Youneng Bao, Wen Tan, Chao Li, Fanyang Meng, Yongsheng Liang
A Complex-Valued Neural Network Based Robust Image Compression. PRCV (10) (2023)
Shuangyan Yi, Feiping Nie, Yongsheng Liang, Wei Liu, Zhenyu He, Qingmin Liao
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Wei Gao, Guibiao Liao, Siwei Ma, Ge Li, Yongsheng Liang, Weisi Lin
Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 32 (4) (2022)
Bowen Li, Xin Yao, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan
Universal Learned Image Compression With Low Computational Cost. CoRR (2022)
Qiangqiang Shen, Yongsheng Liang, Shuangyan Yi, Jiaoyan Zhao
Fast Universal Low Rank Representation. IEEE Trans. Circuits Syst. Video Technol. 32 (3) (2022)
Shanzhi Yin, Chao Li, Youneng Bao, Yongsheng Liang, Fanyang Meng, Wei Liu
Universal Efficient Variable-Rate Neural Image Compression. ICASSP (2022)
Bowen Li, Xin Yao, Chao Li, Youneng Bao, Fanyang Meng, Yongsheng Liang
AdderIC: Towards Low Computation Cost Image Compression. ICASSP (2022)
Shanzhi Yin, Chao Li, Fanyang Meng, Wen Tan, Youneng Bao, Yongsheng Liang, Wei Liu
Exploring Structural Sparsity in Neural Image Compression. ICIP (2022)
Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang
Context-aware Visual Tracking with Joint Meta-updating. CoRR (2022)
Qiangqiang Shen, Yongyong Chen, Yongsheng Liang, Shuangyan Yi, Wei Liu
Weighted Schatten p-norm minimization with logarithmic constraint for subspace clustering. Signal Process. 198 (2022)
Jiaoyan Zhao, Shuangyan Yi, Yongsheng Liang, Wei Liu, Xiaofeng Cao
Robust active representation via ℓ2, p-norm constraints. Knowl. Based Syst. 235 (2022)
Mengyuan Liu, Youneng Bao, Yongsheng Liang, Fanyang Meng
Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning. IEEE Signal Process. Lett. 29 (2022)
Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang
Transformations in Learned Image Compression from a Communication Perspective. CoRR (2022)
Shuai Liu, Yingcong Huang, Huo-Xiang Yang, Yongsheng Liang, Wei Liu
End-to-end image compression method based on perception metric. Signal Image Video Process. 16 (7) (2022)
Shanzhi Yin, Fanyang Meng, Wen Tan, Chao Li, Youneng Bao, Yongsheng Liang, Wei Liu
Exploring Structural Sparsity in Neural Image Compression. CoRR (2022)
Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen
An eigenspace divide-and-conquer approach for large-scale optimization. Appl. Soft Comput. 99 (2021)
An Chen, Zhigang Ren, Muyi Wang, Yongsheng Liang, Hanqing Liu, Wenhao Du
A Surrogate-Assisted Variable Grouping Algorithm for General Large Scale Global Optimization Problems. CoRR (2021)
Chao Li, Yongsheng Liang, Huo-Xiang Yang, Fanyang Meng, Wei Liu, Handong Wang
Improving Convolutional Networks with Boosting Attention Convolutions. ICME (2021)
Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen
Learnable Oriented-Derivative Network for Polyp Segmentation. MICCAI (1) (2021)
Yongsheng Liang, Wei Liu, Shuangyan Yi, Huo-Xiang Yang, Zhenyu He
Filter pruning-based two-step feature map reconstruction. Signal Image Video Process. 15 (7) (2021)
Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
Surrogate-assisted cooperative signal optimization for large-scale traffic networks. Knowl. Based Syst. 234 (2021)
An Chen, Zhigang Ren, Yongsheng Liang, Daofu Guo
Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions. CEC (2021)
Xiujun Shu, Ge Li, Longhui Wei, Jia-Xing Zhong, Xianghao Zang, Shiliang Zhang, Yaowei Wang, Yongsheng Liang, Qi Tian
Diverse part attentive network for video-based person re-identification. Pattern Recognit. Lett. 149 (2021)
Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118 (2021)
Jingjing Lu, Shuangyan Yi, Jiaoyan Zhao, Yongsheng Liang, Wei Liu
Interpretable Robust Feature Selection via Joint -Norms Minimization. ICMLC (2021)
Youneng Bao, Chao Li, Fanyang Meng, Yongsheng Liang, Wei Liu, Kaiyu Liu
Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing. ICIP (2021)
Xiaodong Ren, Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen
Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection. CoRR (2021)
Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
Surrogate-assisted cooperative signal optimization for large-scale traffic networks. CoRR (2021)
Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian
Adaptation-Oriented Feature Projection for One-Shot Action Recognition. IEEE Trans. Multim. 22 (12) (2020)
Zhigang Ren, An Chen, Muyi Wang, Yang Yang, Yongsheng Liang, Ke Shang
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization. IEEE Access 8 (2020)
Daofu Guo, Zhigang Ren, Yongsheng Liang, An Chen
Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection. CEC (2020)
Honghu Pan, Fanyang Meng, Zhenyu He, Yongsheng Liang, Wei Liu
TCDesc: Learning Topology Consistent Descriptors. CoRR (2020)
Feng Jiang, Yunsheng Fu, Brij B. Gupta, Yongsheng Liang, Seungmin Rho, Fang Lou, Fanzhi Meng, Zhihong Tian
Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security. IEEE Trans. Sustain. Comput. 5 (2) (2020)
Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. MICCAI (5) (2020)
Yongsheng Liang, Zhigang Ren, Xianghua Yao, Zuren Feng, An Chen, Wenhua Guo
Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive. IEEE Trans. Cybern. 50 (1) (2020)
Zhigang Ren, Yongsheng Liang, Muyi Wang, Yang Yang, An Chen
An Eigenspace Divide-and-Conquer Approach for Large-Scale Optimization. CoRR (2020)
Qiao Liu, Xin Li, Zhenyu He, Nana Fan, Di Yuan, Wei Liu, Yongsheng Liang
Multi-Task Driven Feature Models for Thermal Infrared Tracking. AAAI (2020)
Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian
Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC (2020)
Yongsheng Liang, Zhigang Ren, An Chen, Daofu Guo
Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform. CEC (2020)
Zhigang Ren, Bei Pang, Muyi Wang, Zuren Feng, Yongsheng Liang, An Chen, Yipeng Zhang
Surrogate model assisted cooperative coevolution for large scale optimization. Appl. Intell. 49 (2) (2019)
Yucheng Huang, Wei Liu, Chao Li, Yongsheng Liang, Huo-Xiang Yang, Fanyang Meng
MSANet: A Multi-Scale Attention Module. ISKE (2019)
Wei Liu, Fanyang Meng, Yongsheng Liang, Huo-Xiang Yang, Changwei Wang
Loss Function Optimization Based on Adversarial Networks. FSDM (2019)
Yongsheng Liang, Zhigang Ren, Miao He, Lin Wang, Jianfu Cao, An Chen, Bei Pang
An efficient estimation of distribution algorithm with rank-one modification and population reduction. Biosyst. 181 (2019)
Zhigang Ren, Yongsheng Liang, Aimin Zhang, Yang Yang, Zuren Feng, Lin Wang
Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy. IEEE Trans. Cybern. 49 (12) (2019)
Fanyang Meng, Hong Liu, Yongsheng Liang, Juanhui Tu, Mengyuan Liu
Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition. IEEE Trans. Image Process. 28 (11) (2019)
Yongsheng Liang, Zhigang Ren, Yang Yang, An Chen, Daofu Guo, Bei Pang
A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems. SMC (2019)
Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen
Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models. GECCO (Companion) (2018)
Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen
Niching an Archive-based Gaussian Estimation of Distribution Algorithm via Adaptive Clustering. CoRR (2018)
An Chen, Yipeng Zhang, Zhigang Ren, Yongsheng Liang, Bei Pang
A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems. CoRR (2018)
Zhigang Ren, Yongsheng Liang, Lin Wang, Aimin Zhang, Bei Pang, Biying Li
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm. Knowl. Based Syst. 146 (2018)
Bei Pang, Zhigang Ren, Yongsheng Liang, An Chen
Enhancing Cooperative Coevolution for Large Scale Optimization by Adaptively Constructing Surrogate Models. CoRR (2018)
An Chen, Yipeng Zhang, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang
A global information based adaptive threshold for grouping large scale optimization problems. GECCO (2018)
An Chen, Zhigang Ren, Yang Yang, Yongsheng Liang, Bei Pang
A historical interdependency based differential grouping algorithm for large scale global optimization. GECCO (Companion) (2018)
Yongsheng Liang, Zhigang Ren, Bei Pang, An Chen
Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering. GECCO (Companion) (2018)
Zhigang Ren, Bei Pang, Yongsheng Liang, An Chen, Yipeng Zhang
Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization. CoRR (2018)
Shuangyan Yi, Yongsheng Liang, Wei Liu, Fanyang Meng
Adaptive Weighted Sparse Principal Component Analysis. ICME (2018)
Fanyang Meng, Hong Liu, Yongsheng Liang, Mengyuan Liu, Wei Liu
Hierarchical Dropped Convolutional Neural Network for Speed Insensitive Human Action Recognition. ICME (2018)
Zhigang Ren, An Chen, Lin Wang, Yongsheng Liang, Bei Pang
An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems. GECCO (Companion) (2017)
Fanyang Meng, Hong Liu, Yongsheng Liang, Liu Wei, Jihong Pei
A bidirectional adaptive bandwidth mean shift strategy for clustering. ICIP (2017)
Fanyang Meng, Hong Liu, Yongsheng Liang, Wei Liu, Jihong Pei
A Bidirectional Adaptive Bandwidth Mean Shift Strategy for Clustering. CoRR (2017)
Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain
Inferior solutions in Gaussian EDA: Useless or useful? CEC (2017)
Ying Zhou, Yongsheng Liang, Wei Liu, Cheng He, Yue Zhu
Saliency Region and Motion Characteristics Combined Video Quality Assessment. J. Inf. Hiding Multim. Signal Process. 7 (4) (2016)
Zhigang Ren, Chenlong He, Dexing Zhong, Shanshan Huang, Yongsheng Liang
Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling. CEC (2016)
Wei Liu, Yongsheng Liang, Zeng-Bin Chen, Jihong Zhang
An image super resolution reconstruction algorithm based on Undecimated Morphological Wavelet. DSP (2015)
Ying Zhou, Ji-Hong Zhang, Yongsheng Liang, Wei Liu
Video Motion Characteristics based Spatial-Temporal Salient Region Extraction Method. J. Inf. Hiding Multim. Signal Process. 6 (2) (2015)
Ying Zhou, Jihong Zhang, Yongsheng Liang, Wei Liu
基于视觉运动特性的视频时空显著性区域提取方法 (Motion Characteristics Based Video Salient Region Extraction Method). 计算机科学 42 (11) (2015)
Xu Chen, Jihong Zhang, Wei Liu, Yongsheng Liang, Ji-qiang Feng
H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution. EURASIP J. Adv. Signal Process. 2013 (2013)
Shaobin Zhan, Yongsheng Liang
On Researching the Vehicle Monitoring Platform Based on Spatio-Temporal Indexing Mechanism. Int. J. Online Biomed. Eng. 9 (S7) (2013)
Shuai Li, Sanfeng Chen, Bo Liu, Yangming Li, Yongsheng Liang
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks. Neurocomputing 91 (2012)
Bo Gao, Qinyu Zhang, Yongsheng Liang, Naitong Zhang
LRD network traffic predicting based on SRD model. WCSP (2012)
Bo Liu, Sanfeng Chen, Shuai Li, Yongsheng Liang
Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration. Sensors 12 (3) (2012)
Miao Deng, Jihong Zhang, Yongsheng Liang, Guangming Lin, Wei Liu
A Novel Simple Candidate Set Method for Symmetric TSP and Its Application in MAX-MIN Ant System. ICSI (1) (2012)
Sanfeng Chen, Shuai Li, Bo Liu, Yuesheng Lou, Yongsheng Liang
Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. Sensors 12 (5) (2012)
Guangming Lin, Lishan Kang, Yongsheng Liang, Yuping Chen
Velocity self-adaptation made Particle Swarm Optimization faster. SIS (2008)
Guangming Lin, Xin Lu, Yongsheng Liang, Lishan Kang, Xin Yao
A Self-adaptive Evolutionary Programming Based on Optimum Search Direction. ISICA (2008)
Sen Guo, Yongsheng Liang, Zhili Zhang, Wei Liu
Association Rule Retrieved from Web Log Based on Rough Set Theory. FSKD (3) (2007)