Chunling Yang

Orcid: 0000-0002-3918-1801

According to our database1, Chunling Yang authored at least 30 papers between 2005 and 2023.

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Bibliography

2023
A hybrid sampling and gradient attention network for compressed image sensing.
Vis. Comput., September, 2023

MAP-Inspired Deep Unfolding Network for Distributed Compressive Video Sensing.
IEEE Signal Process. Lett., 2023

Fine-Grained Guided Model Fusion Network with Attention Mechanism for Infrared Small Target Segmentation.
Int. J. Intell. Syst., 2023

Feature-Domain Proximal High-Dimensional Gradient Descent Network for Image Compressed Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder.
Knowl. Based Syst., 2022

Pedestrian Detection Based on Improved Faster-RCNN Algorithm.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2022

Dual-Domain Update and Double-Group Optimization Network for Image Compressive Sensing.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

FSOINET: Feature-Space Optimization-Inspired Network For Image Compressive Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Adaptive Threshold-based Sparse Representation Network for Image Compressive Sensing Reconstruction.
Proceedings of the International Conference on Visual Communications and Image Processing, 2021

Efficient Video Compressed Sensing Reconstruction via Exploiting Spatial-Temporal Correlation With Measurement Constraint.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Imrnet: An Iterative Motion Compensation and Residual Reconstruction Network for Video Compressed Sensing.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Deep conditional adaptation networks and label correlation transfer for unsupervised domain adaptation.
Pattern Recognit., 2020

Unsupervised domain adaptation with structural attribute learning networks.
Neurocomputing, 2020

2Ser-Vgsr-Net: A Two-Stage Enhancement Reconstruction Based On Video Group Sparse Representation Network For Compressed Video Sensing.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Compressed Video Sensing Network Based On Alignment Prediction And Residual Reconstruction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Deep Smoothed Projected Landweber Network for Block-Based Image Compressive Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
On Achieving the Maximum Streaming Rate in Hybrid Wired/Wireless Overlay Networks.
IEEE Wirel. Commun. Lett., 2019

2018
Deep domain similarity Adaptation Networks for across domain classification.
Pattern Recognit. Lett., 2018

Maximizing streaming efficiency of multiple streams in peer-to-peer networks.
J. Netw. Comput. Appl., 2018

Minimizing the Maximum Link Utilization in Multicast Multi-Commodity Flow Networks.
IEEE Commun. Lett., 2018

Towards the multi-request mechanism in pull-based peer-to-peer live streaming systems.
Comput. Networks, 2018

A Z Structure Convolutional Neural Network Implemented by FPGA in Deep Learning.
Proceedings of the IECON 2018, 2018

An Encoder Generative Adversarial Network for Multi-modality Image Recognition.
Proceedings of the IECON 2018, 2018

2017
Pseudo trajectories eliminating and pyramid clustering: Optimizing dense trajectories for action recognition.
Proceedings of the 2017 IEEE International Conference on Real-time Computing and Robotics, 2017

An OpenFlow-assisted framework for peer-to-peer live streaming.
Proceedings of the International Conference on Computer, 2017

2016
A High-Bandwidth Live Streaming Model in Mesh-Based Peer-to-Peer Networks.
IEEE Commun. Lett., 2016

A multidimensional features fault diagnosis method for analog circuits.
Proceedings of the IECON 2016, 2016

2009
A Light Mobile GIS Framework Based on Mobile SVG.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

2006
Study on modeling of multispectral emissivity and optimization algorithm.
IEEE Trans. Neural Networks, 2006

2005
A new method for constructing spectral emissivity models for measuring the real temperature of targets.
IEEE Trans. Instrum. Meas., 2005


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