Zhijing Yang
Orcid: 0009-0000-9865-0666
According to our database1,
Zhijing Yang
authored at least 119 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Unsupervised multi-perspective fusing semantic alignment for cross-modal hashing retrieval.
Multim. Tools Appl., July, 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
DPHANet: Discriminative Parallel and Hierarchical Attention Network for Natural Language Video Localization.
IEEE Trans. Multim., 2024
Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration.
IEEE Trans. Image Process., 2024
Graph Representation and Prototype Learning for webly supervised fine-grained image recognition.
Pattern Recognit. Lett., 2024
A weighted prior tensor train decomposition method for community detection in multi-layer networks.
Neural Networks, 2024
Discriminative latent semantics-preserving similarity embedding hashing for cross-modal retrieval.
Neural Comput. Appl., 2024
Dual-perspective semantic-aware representation blending for multi-label image recognition with partial labels.
Expert Syst. Appl., 2024
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, 2024
Self-Supervised Emotion Representation Disentanglement for Speech-Preserving Facial Expression Manipulation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
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
IEEE Commun. Lett., January, 2023
ACM Trans. Multim. Comput. Commun. Appl., 2023
IEEE Trans. Multim., 2023
IEEE Trans. Multim., 2023
IEEE Robotics Autom. Lett., 2023
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
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
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2023
Proceedings of the Advances in Brain Inspired Cognitive Systems, 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
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
Knowl. Based Syst., 2022
Dual semi-supervised convex nonnegative matrix factorization for data representation.
Inf. Sci., 2022
Neurocomputing, 2022
DFAEN: Double-order knowledge fusion and attentional encoding network for texture recognition.
Expert Syst. Appl., 2022
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
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
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
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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
CoRR, 2019
IEEE Access, 2019
Graph Embedded Multiple Kernel Extreme Learning Machine for Music Emotion Classification.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2019
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
IET Signal Process., 2018
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
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
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
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
Appl. Soft Comput., 2016
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
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
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
Proceedings of the 9th International Symposium on Communication Systems, 2014
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
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
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
Proceedings of the 8th International Symposium on Communication Systems, 2012
2010
IEEE Trans. Circuits Syst. Video Technol., 2010
Digit. Signal Process., 2010
2009
2008
Digit. Signal Process., 2008