Zhijing Yang

Orcid: 0000-0001-8336-5109

According to our database1, Zhijing Yang authored at least 108 papers between 2008 and 2024.

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Bibliography

2024
Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing.
Expert Syst. Appl., March, 2024

Extensible Max-Min Collaborative Retention for Online Mini-Batch Learning Hash Retrieval.
IEEE Trans. Multim., 2024

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Super-Resolution.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Deep Learning Framework for Anesthesia Depth Prediction from Drug Infusion History.
Sensors, November, 2023

Cross-modal hash retrieval based on semantic multiple similarity learning and interactive projection matrix learning.
Inf. Sci., November, 2023

ESA: Excitation-Switchable Attention for convolutional neural networks.
Neurocomputing, November, 2023

Multiview Clustering via Hypergraph Induced Semi-Supervised Symmetric Nonnegative Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Adaptive graph regularization method based on least square regression for clustering.
Signal Process. Image Commun., May, 2023

Hypergraph based semi-supervised symmetric nonnegative matrix factorization for image clustering.
Pattern Recognit., May, 2023

Reference-free low-light image enhancement by associating hierarchical wavelet representations.
Expert Syst. Appl., March, 2023

DQN-Based Adaptive MCS and SDM for 5G Massive MIMO-OFDM Downlink.
IEEE Commun. Lett., January, 2023

Progressive Transformer Machine for Natural Character Reenactment.
ACM Trans. Multim. Comput. Commun. Appl., 2023

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup.
IEEE Trans. Multim., 2023

Real-World Image Super-Resolution by Exclusionary Dual-Learning.
IEEE Trans. Multim., 2023

Scale-Aware Squeeze-and-Excitation for Lightweight Object Detection.
IEEE Robotics Autom. Lett., 2023

Active Mining Sample Pair Semantics for Image-text Matching.
CoRR, 2023

Learning to In-paint: Domain Adaptive Shape Completion for 3D Organ Segmentation.
CoRR, 2023

A Transformer-based Prediction Method for Depth of Anesthesia During Target-controlled Infusion of Propofol and Remifentanil.
CoRR, 2023

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation.
CoRR, 2023

Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time.
CoRR, 2023

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution.
CoRR, 2023

Are Microphone Signals Alone Sufficient for Joint Microphones and Sources Localization?
CoRR, 2023

Justices for Information Bottleneck Theory.
CoRR, 2023

Open-World Pose Transfer via Sequential Test-Time Adaption.
CoRR, 2023

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup.
CoRR, 2023

Cost Guarantee for Individual Fairness on Spectral Clustering.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Dynamic User Activity and Data Detection for Grant-Free NOMA via Weighted ℓ<sub>2, 1</sub> Minimization.
IEEE Trans. Wirel. Commun., 2022

Criteria Comparative Learning for Real-Scene Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., 2022

A Novel Robust Low-rank Multi-view Diversity Optimization Model with Adaptive-Weighting Based Manifold Learning.
Pattern Recognit., 2022

Correntropy based semi-supervised concept factorization with adaptive neighbors for clustering.
Neural Networks, 2022

DnSwin: Toward real-world denoising via a continuous Wavelet Sliding Transformer.
Knowl. Based Syst., 2022

Dual semi-supervised convex nonnegative matrix factorization for data representation.
Inf. Sci., 2022

Progressive representation recalibration for lightweight super-resolution.
Neurocomputing, 2022

DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition.
Expert Syst. Appl., 2022

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels.
CoRR, 2022


NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Unsupervised Multi-View Clustering by Squeezing Hybrid Knowledge From Cross View and Each View.
IEEE Trans. Multim., 2021

Supervised Dimensionality Reduction of Hyperspectral Imagery Via Local and Global Sparse Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

SRAGL-AWCL: A two-step multi-view clustering via sparse representation and adaptive weighted cooperative learning.
Pattern Recognit., 2021

2020
Locality Regularized Robust-PCRC: A Novel Simultaneous Feature Extraction and Classification Framework for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

DDet: Dual-Path Dynamic Enhancement Network for Real-World Image Super-Resolution.
IEEE Signal Process. Lett., 2020

MIMN-DPP: Maximum-information and minimum-noise determinantal point processes for unsupervised hyperspectral band selection.
Pattern Recognit., 2020

Conditioning optimization of extreme learning machine by multitask beetle antennae swarm algorithm.
Memetic Comput., 2020

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
CoRR, 2020



2019
Local Block Multilayer Sparse Extreme Learning Machine for Effective Feature Extraction and Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2019

MIMR-DGSA: Unsupervised hyperspectral band selection based on information theory and a modified discrete gravitational search algorithm.
Inf. Fusion, 2019

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images.
IET Image Process., 2019

POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network.
CoRR, 2019

An Effective Sources Enumeration Approach for Single Channel Signal at Low SNR.
IEEE Access, 2019

Graph Embedded Multiple Kernel Extreme Learning Machine for Music Emotion Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Detection of Invisible Damage of Kiwi Fruit Based on Hyperspectral Technique.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

Collaborative-Representation-Based Nearest Neighbor Classifier for Hyperspectral Image Classification Combined with Superpixel and Loopy Belief Propagation.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019

2018
Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2018

Joint bilateral filtering and spectral similarity-based sparse representation: A generic framework for effective feature extraction and data classification in hyperspectral imaging.
Pattern Recognit., 2018

Camera identification based on very low bit rate videos with overall noise pattern having time varying statistics.
Multim. Tools Appl., 2018

Optimal design of orders of DFrFTs for sparse representations.
IET Signal Process., 2018

Reconstructing signal from quantized signal based on singular spectral analysis.
Digit. Signal Process., 2018

Spectral and Spatial Kernel Extreme Learning Machine for Hyperspectral Image Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Unsupervised Hyperspectral Band Selection Based on Maximum Information Entropy and Determinantal Point Process.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2017
Blind inpainting using the fully convolutional neural network.
Vis. Comput., 2017

A parallel thinning algorithm based on stroke continuity detection.
Signal Image Video Process., 2017

Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images.
Sensors, 2017

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification.
Remote. Sens., 2017

Does Normalization Methods Play a Role for Hyperspectral Image Classification?
CoRR, 2017

Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification.
CoRR, 2017

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification.
CoRR, 2017

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image.
CoRR, 2017

Research on Data Process Method of Engineering Training Based on Cloud Service.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation.
Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017

2016
Two-dimensional discrete fractional Fourier transform-based content removal algorithm.
Signal Image Video Process., 2016

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging.
Neurocomputing, 2016

Instantaneous magnitudes and instantaneous frequencies of signals with their positivity constraints via non-smooth non-convex functional constrained optimisation.
IET Signal Process., 2016

Design of Nonuniform Transmultiplexers with Block Samplers and Single-Input Single-Output Linear Time-Invariant Filters Based on Perfect Reconstruction Condition.
Circuits Syst. Signal Process., 2016

Binary artificial algae algorithm for multidimensional knapsack problems.
Appl. Soft Comput., 2016

The graphics of the solutions by learning a RBM: Discussion on a special case.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Stabilization of single bit high order interpolative sigma delta modulators for analog-to-digital conversion in wireless mobile handset based electromyogram acquisition system.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

2015
Spectral Clustering with Sparse Graph Construction Based on Markov Random Walk.
KSII Trans. Internet Inf. Syst., 2015

Approximate affine linear relationship between <i>L</i><sub>1</sub> norm objective functional values and <i>L</i><sub>2</sub> norm constraint bounds.
IET Signal Process., 2015

Nonlinear and adaptive undecimated hierarchical multiresolution analysis for real valued discrete time signals via empirical mode decomposition approach.
Digit. Signal Process., 2015

Content removal via both thresholding averaging and two dimensional discrete fractional Fourier transform.
Proceedings of the 2015 Picture Coding Symposium, 2015

Detecting Parkinson's diseases via the characteristics of the intrinsic mode functions of filtered electromyograms.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

k-NN graph construction based on markov random walk.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

Wireless digital demodulation system via hierarchical multiresolution empirical mode decomposition approach.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
Erratum to "Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction".
IEEE Trans. Instrum. Meas., 2014

Mask operations in discrete fractional Fourier transform domains with nearly white real valued wide sense stationary output signals.
Digit. Signal Process., 2014

Efficient method for solving globally optimal solutions of weighted LP norm and L2 norm optimization problems.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

A new bidimensional EMD algorithmand its applications.
Proceedings of the 9th International Symposium on Communication Systems, 2014

Instantaneous magnitudes and frequencies of signals with positivity constraints.
Proceedings of the 9th International Symposium on Communication Systems, 2014

2013
Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction.
IEEE Trans. Instrum. Meas., 2013

Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2013

Machine fault detection during transient operation using measurement denoising.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2013

2012
Applied sensor fault detection and validation using transposed input data PCA and ANNs.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

Sensor fault detection for industrial systems using a hierarchical clustering-based graphical user interface.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2012

Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

An Evolutionary Based Clustering Algorithm Applied to Dada Compression for Industrial Systems.
Proceedings of the Advances in Intelligent Data Analysis XI - 11th International Symposium, 2012

Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes.
Proceedings of the 8th International Symposium on Communication Systems, 2012

Orthogonal orthogonal overcomplete kernel design for sparse representation.
Proceedings of the 8th International Symposium on Communication Systems, 2012

Optimal overcomplete kernel design for sparse representations via discrete fractional Fourier transforms.
Proceedings of the 8th International Symposium on Communication Systems, 2012

Trend extraction based on Hilbert-Huang transform.
Proceedings of the 8th International Symposium on Communication Systems, 2012

2010
Normalized Co-Occurrence Mutual Information for Facial Pose Detection Inside Videos.
IEEE Trans. Circuits Syst. Video Technol., 2010

An oblique-extrema-based approach for empirical mode decomposition.
Digit. Signal Process., 2010

2009
Iris Recognition Based on Hilbert-Huang Transform.
Adv. Data Sci. Adapt. Anal., 2009

2008
A method to eliminate riding waves appearing in the empirical AM/FM demodulation.
Digit. Signal Process., 2008


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