Yongsheng Liang

Orcid: 0000-0002-0891-5577

According to our database1, Yongsheng Liang authored at least 87 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Self-Completed Bipartite Graph Learning for Fast Incomplete Multi-View Clustering.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Lightweight parameter de-redundancy demoiréing network with adaptive wavelet distillation.
J. Real Time Image Process., February, 2024

Robust Tensor Recovery for Incomplete Multi-View Clustering.
IEEE Trans. Multim., 2024

Pick-and-Place Transform Learning for Fast Multi-View Clustering.
IEEE Trans. Image Process., 2024

2023
Taylor series based dual-branch transformation for learned image compression.
Signal Process., November, 2023

Improving generalization of double low-rank representation using Schatten-<i>p</i> norm.
Pattern Recognit., June, 2023

Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix.
IEEE Trans. Medical Imaging, May, 2023

Nonlinear Transforms in Learned Image Compression From a Communication Perspective.
IEEE Trans. Circuits Syst. Video Technol., April, 2023

A surrogate-assisted variable grouping algorithm for general large-scale global optimization problems.
Inf. Sci., April, 2023

Bilateral Fast Low-Rank Representation With Equivalent Transformation for Subspace Clustering.
IEEE Trans. Multim., 2023

An Efficient Adaptive Differential Grouping Algorithm for Large-Scale Black-Box Optimization.
IEEE Trans. Evol. Comput., 2023

Bandwidth-efficient Inference for Neural Image Compression.
CoRR, 2023

A Complex-Valued Neural Network Based Robust Image Compression.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression.
Proceedings of the IEEE International Conference on Image Processing, 2023

MGAM: Mixed-Gaussian Attention Module for Convolutional Neural Networks.
Proceedings of the Asia Conference on Artificial Intelligence, 2023

Frequency Domain Based Optimization for Image Demoireing.
Proceedings of the Asia Conference on Artificial Intelligence, 2023

2022
Fast Extended Inductive Robust Principal Component Analysis With Optimal Mean.
IEEE Trans. Knowl. Data Eng., 2022

Fast Universal Low Rank Representation.
IEEE Trans. Circuits Syst. Video Technol., 2022

Unified Information Fusion Network for Multi-Modal RGB-D and RGB-T Salient Object Detection.
IEEE Trans. Circuits Syst. Video Technol., 2022

Spatial-Temporal Asynchronous Normalization for Unsupervised 3D Action Representation Learning.
IEEE Signal Process. Lett., 2022

End-to-end image compression method based on perception metric.
Signal Image Video Process., 2022

Weighted Schatten p-norm minimization with logarithmic constraint for subspace clustering.
Signal Process., 2022

Robust active representation via ℓ2, p-norm constraints.
Knowl. Based Syst., 2022

Universal Learned Image Compression With Low Computational Cost.
CoRR, 2022

Context-aware Visual Tracking with Joint Meta-updating.
CoRR, 2022

Transformations in Learned Image Compression from a Modulation Perspective.
CoRR, 2022

Exploring Structural Sparsity in Neural Image Compression.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Universal Efficient Variable-Rate Neural Image Compression.
Proceedings of the IEEE International Conference on Acoustics, 2022

AdderIC: Towards Low Computation Cost Image Compression.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Filter pruning-based two-step feature map reconstruction.
Signal Image Video Process., 2021

Diverse part attentive network for video-based person re-identification.
Pattern Recognit. Lett., 2021

Joint segmentation and detection of COVID-19 via a sequential region generation network.
Pattern Recognit., 2021

Surrogate-assisted cooperative signal optimization for large-scale traffic networks.
Knowl. Based Syst., 2021

Enhancing hierarchical surrogate-assisted evolutionary algorithm for high-dimensional expensive optimization via random projection.
CoRR, 2021

An eigenspace divide-and-conquer approach for large-scale optimization.
Appl. Soft Comput., 2021

Learnable Oriented-Derivative Network for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Interpretable Robust Feature Selection via Joint -Norms Minimization.
Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Improving Convolutional Networks with Boosting Attention Convolutions.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Mbb: A Multi-Scale Method For Data Based On Bit Plane Slicing.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Enhancing Cooperative Coevolution for Large Scale Optimization by Exploiting Decomposition Solutions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security.
IEEE Trans. Sustain. Comput., 2020

Adaptation-Oriented Feature Projection for One-Shot Action Recognition.
IEEE Trans. Multim., 2020

Enhancing Gaussian Estimation of Distribution Algorithm by Exploiting Evolution Direction With Archive.
IEEE Trans. Cybern., 2020

TCDesc: Learning Topology Consistent Descriptors.
CoRR, 2020

Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization.
IEEE Access, 2020

BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition.
Proceedings of the Data Compression Conference, 2020

Traffic Signal Optimization with Estimation of Distribution Algorithms and VISSIM-MATLAB Integrated Simulation Platform.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Scaling Up Radial Basis Function for High-Dimensional Expensive Optimization Using Random Projection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Multi-Task Driven Feature Models for Thermal Infrared Tracking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Sample Fusion Network: An End-to-End Data Augmentation Network for Skeleton-Based Human Action Recognition.
IEEE Trans. Image Process., 2019

Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy.
IEEE Trans. Cybern., 2019

An efficient estimation of distribution algorithm with rank-one modification and population reduction.
Biosyst., 2019

Surrogate model assisted cooperative coevolution for large scale optimization.
Appl. Intell., 2019

A Mahalanobis Distance-Based Fitness Approximation Method for Estimation of Distribution Algorithms in Solving Expensive Optimization Problems.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

MSANet: A Multi-Scale Attention Module.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Loss Function Optimization Based on Adversarial Networks.
Proceedings of the Fuzzy Systems and Data Mining V, 2019

2018
Anisotropic adaptive variance scaling for Gaussian estimation of distribution algorithm.
Knowl. Based Syst., 2018

A Global Information Based Adaptive Threshold for Grouping Large Scale Global Optimization Problems.
CoRR, 2018

Surrogate Model Assisted Cooperative Coevolution for Large Scale Optimization.
CoRR, 2018

Adaptive Weighted Sparse Principal Component Analysis.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Hierarchical Dropped Convolutional Neural Network for Speed Insensitive Human Action Recognition.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Enhancing cooperative coevolution for large scale optimization by adaptively constructing surrogate models.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Niching an archive-based gaussian estimation of distribution algorithm via adaptive clustering.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

A global information based adaptive threshold for grouping large scale optimization problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A historical interdependency based differential grouping algorithm for large scale global optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
A Bidirectional Adaptive Bandwidth Mean Shift Strategy for Clustering.
CoRR, 2017

A bidirectional adaptive bandwidth mean shift strategy for clustering.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

An efficient vector-growth decomposition algorithm for cooperative coevolution in solving large scale problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Inferior solutions in Gaussian EDA: Useless or useful?
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Saliency Region and Motion Characteristics Combined Video Quality Assessment.
J. Inf. Hiding Multim. Signal Process., 2016

Enhance continuous estimation of distribution algorithm by variance enlargement and reflecting sampling.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
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, 2015

Video Motion Characteristics based Spatial-Temporal Salient Region Extraction Method.
J. Inf. Hiding Multim. Signal Process., 2015

An image super resolution reconstruction algorithm based on Undecimated Morphological Wavelet.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2013
On Researching the Vehicle Monitoring Platform Based on Spatio-Temporal Indexing Mechanism.
Int. J. Online Biomed. Eng., 2013

H.264/SVC parameter optimization based on quantization parameter, MGS fragmentation, and user bandwidth distribution.
EURASIP J. Adv. Signal Process., 2013

2012
Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems.
Sensors, 2012

Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration.
Sensors, 2012

Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks.
Neurocomputing, 2012

LRD network traffic predicting based on SRD model.
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2012

A Novel Simple Candidate Set Method for Symmetric TSP and Its Application in MAX-MIN Ant System.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

A recurrent neural network for inter-localization of mobile phones.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

A discrete-time switching neural network for quadratic programming.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2008
Velocity self-adaptation made Particle Swarm Optimization faster.
Proceedings of the 2008 IEEE Swarm Intelligence Symposium, 2008

A Self-adaptive Evolutionary Programming Based on Optimum Search Direction.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

2007
Association Rule Retrieved from Web Log Based on Rough Set Theory.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007


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