Hujun Yin

Orcid: 0000-0002-9198-5401

According to our database1, Hujun Yin authored at least 175 papers between 1990 and 2024.

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

Timeline

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Bibliography

2024
High-frequency channel attention and contrastive learning for image super-resolution.
Vis. Comput., December, 2024

Feature-enhanced representation with transformers for multi-view stereo.
IET Image Process., May, 2024

Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

A slimmer and deeper approach to deep network structures for low-level vision tasks.
Expert Syst. J. Knowl. Eng., February, 2024

Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection.
IEEE Trans. Geosci. Remote. Sens., 2024

Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2024

KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
DRLFluent: A distributed co-simulation framework coupling deep reinforcement learning with Ansys-Fluent on high-performance computing systems.
J. Comput. Sci., December, 2023

Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net.
Comput. Electron. Agric., August, 2023

Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

2022
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation.
IEEE Trans. Image Process., 2022

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition.
IEEE Trans. Cybern., 2022

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces.
IEEE Trans. Circuits Syst. Video Technol., 2022

Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

A survey of deep learning approaches to image restoration.
Neurocomputing, 2022

A U-Net Based Progressive GAN for Microscopic Image Augmentation.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022

Scene Context Enhanced Network for Person Search.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring.
Vis. Comput., 2021

Structure-Exploiting Discriminative Ordinal Multioutput Regression.
IEEE Trans. Neural Networks Learn. Syst., 2021

Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks.
IEEE Trans. Instrum. Meas., 2021

Efficient pyramid context encoding and feature embedding for semantic segmentation.
Image Vis. Comput., 2021

Deep learning-based aerial image segmentation with open data for disaster impact assessment.
Neurocomputing, 2021

3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2021

Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution.
Proceedings of the International Joint Conference on Neural Networks, 2021

DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Sparse Spatial Attention Network For Semantic Segmentation.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Efficient Multi-Objective GANs for Image Restoration.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dual Graph-Based Context Aggregation for Scene Parsing.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data.
ACM Trans. Intell. Syst. Technol., 2020

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks.
IEEE Trans. Geosci. Remote. Sens., 2020

Real-time human cross-race aging-related face appearance detection with deep convolution architecture.
J. Real Time Image Process., 2020

Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks.
Neurocomputing, 2020

Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems.
Expert Syst. J. Knowl. Eng., 2020

3D Point Cloud Feature Explanations Using Gradient-Based Methods.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Improving Adversarial Learning with Image Quality Measures for Image Deblurring.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Automatic Multispectral Image Classification of Plant Virus from Leaf Samples.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Meta-Learning with Warped Gradient Descent.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Relationships Self-Learning Based Gender-Aware Age Estimation.
Neural Process. Lett., 2019

ApprGAN: appearance-based GAN for facial expression synthesis.
IET Image Process., 2019

Meta-Learning with Warped Gradient Descent.
CoRR, 2019

Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features.
CoRR, 2019

Image Quality Constrained GAN for Super-Resolution.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Tracking Position and Status of Electric Control Switches Based on YOLO Detector.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Multitemporal Aerial Image Registration Using Semantic Features.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Cross Attention Network for Semantic Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

CNN-Based Semantic Change Detection in Satellite Imagery.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Deep Learning Models for Denoising ECG Signals.
Proceedings of the 27th European Signal Processing Conference, 2019

Post Disaster Mapping With Semantic Change Detection in Satellite Imagery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Feature Pyramid Encoding Network for Real-time Semantic Segmentation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Cross-Modal Metric Learning for AUC Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2018

Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning.
IEEE Trans. Cybern., 2018

Feature-Ensemble-Based Novelty Detection for Analyzing Plant Hyperspectral Datasets.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Facial expression analysis and expression-invariant face recognition by manifold-based synthesis.
Mach. Vis. Appl., 2018

Robust ordinal regression induced by <i>l<sub>p</sub></i>-centroid.
Neurocomputing, 2018

Multi-view dimensionality reduction based on Universum learning.
Neurocomputing, 2018

Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models.
Int. J. Neural Syst., 2018

Breaking the Activation Function Bottleneck through Adaptive Parameterization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SOMNet: Unsupervised Feature Learning Networks for Image Classification.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Neural Networks with Markov Random Field Models for Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

Automatic Tree Annotation in LiDAR Data.
Proceedings of the 4th International Conference on Geographical Information Systems Theory, 2018

WebCaricature: a benchmark for caricature recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Robust face recognition with structural binary gradient patterns.
Pattern Recognit., 2017

WebCaricature: a benchmark for caricature face recognition.
CoRR, 2017

Variation Robust Cross-Modal Metric Learning for Caricature Recognition.
Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

Markov Random Field Based Convolutional Neural Networks for Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Universum Discriminant Canonical Correlation Analysis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

2016
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Expression Classification and Intensity Estimation by Expression Manifold Synthesis.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
A Self-Organising Multi-Manifold Learning Algorithm.
Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Multi-manifold Approach to Multi-view Face Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Multistep Forecast of FX Rates Using an Extended Self-organizing Regressive Neural Network.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

2014
Probabilistic Novelty Detection With Support Vector Machines.
IEEE Trans. Reliab., 2014

A neural gas mixture autoregressive network for modelling and forecasting FX time series.
Neurocomputing, 2014

Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction.
Int. J. Neural Syst., 2014

Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos.
Int. J. Neural Syst., 2014

Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Time series prediction with a non-causal neural network.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

2013
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Image Super Resolution via Visual Prior Based Digital Image Characteristics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2012
On nonlinear dimensionality reduction for face recognition.
Image Vis. Comput., 2012

Introduction.
Int. J. Neural Syst., 2012

Efficient blind image deconvolution using spectral non-Gaussianity.
Integr. Comput. Aided Eng., 2012

Multivoxel Pattern Analysis Using Information-Preserving EMD.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

Abnormal Event Detection via Multi-Instance Dictionary Learning.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011
Introduction.
Int. J. Neural Syst., 2011

Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials.
Int. J. Neural Syst., 2011

The S<sup>2</sup>-Ensemble Fusion Algorithm.
Int. J. Neural Syst., 2011

Spectral Non-gaussianity for Blind Image Deblurring.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

Eigenlights: Recovering Illumination from Face Images.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2011, 2011

2010
Adaptive nonlinear manifolds and their applications to pattern recognition.
Inf. Sci., 2010

Gradient-based SOM clustering and visualisation methods.
Proceedings of the International Joint Conference on Neural Networks, 2010

Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

A dissimilarity kernel with local features for robust facial recognition.
Proceedings of the International Conference on Image Processing, 2010

2009
A self-organising mixture autoregressive network for FX time series modelling and prediction.
Neurocomputing, 2009

Exchange rate prediction using hybrid neural networks and trading indicators.
Neurocomputing, 2009

Enabling collocated coexistence in IEEE 802.16 networks via perceived concurrency.
IEEE Commun. Mag., 2009

Generalized Self-Organizing Mixture Autoregressive Model.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

ViSOM for Dimensionality Reduction in Face Recognition.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Information Preserving Empirical Mode Decomposition for Filtering Field Potentials.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

Linear and nonlinear dimensionality reduction for face recognition.
Proceedings of the International Conference on Image Processing, 2009

Multi-user MIMO and adaptive frequency reuse for next-generation mobile broadband networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series.
Proceedings of the Artificial Neural Networks, 2009

A General Fuzzy Modeling Approach to Detection Decision Fusion.
Proceedings of the Fourth International Conference on Frontier of Computer Science and Technology, 2009

2008
The Self-Organizing Maps: Background, Theories, Extensions and Applications.
Proceedings of the Computational Intelligence: A Compendium, 2008

On multidimensional scaling and the embedding of self-organising maps.
Neural Networks, 2008

A Semi-Supervised Learning Algorithm for Growing Neural Gas in Face Recognition.
J. Math. Model. Algorithms, 2008

Special Issue Arising from the IDEAL 2007 Conference.
J. Math. Model. Algorithms, 2008

Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling.
Int. J. Neural Syst., 2008

Independent component analysis and nongaussianity for blind image deconvolution and deblurring.
Integr. Comput. Aided Eng., 2008

Topological clustering of synchronous spike trains.
Proceedings of the International Joint Conference on Neural Networks, 2008

Semi-supervised Growing Neural Gas for Face Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2008

Decoding Population Neuronal Responses by Topological Clustering.
Proceedings of the Artificial Neural Networks, 2008

Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

2007
Nonlinear dimensionality reduction and data visualization: A review.
Int. J. Autom. Comput., 2007

Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

ViSOM Ensembles for Visualization and Classification.
Proceedings of the Computational and Ambient Intelligence, 2007

Connection between Self-Organizing Maps and Metric Multidimensional Scaling.
Proceedings of the International Joint Conference on Neural Networks, 2007

Time-Series Prediction Using Self-Organising Mixture Autoregressive Network.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Quality of Adaptation of Fusion ViSOM.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Combined Support Vector Novelty Detection for Multi-channel Combustion Data.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2007

Boosting Unsupervised Competitive Learning Ensembles.
Proceedings of the Artificial Neural Networks, 2007

2006
On the equivalence between kernel self-organising maps and self-organising mixture density networks.
Neural Networks, 2006

PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns.
Nucleic Acids Res., 2006

Special Issue on Adaptive Learning Algorithms.
J. Math. Model. Algorithms, 2006

Kernel self-organising maps for classification.
Neurocomputing, 2006

Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Support Vector Machine in Novelty Detection for Multi-channel Combustion Data.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
Web content management by self-organization.
IEEE Trans. Neural Networks, 2005

Tree view self-organisation of web content.
Neurocomputing, 2005

Modeling and analysis of gene expression time-series based on co-expression.
Int. J. Neural Syst., 2005

Clustering of unevenly sampled gene expression time-series data.
Fuzzy Sets Syst., 2005

Face Recognition Using RBF Neural Networks and Wavelet Transform.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Circular SOM for Temporal Characterisation of Modelled Gene Expressions.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Matching Peptide Sequences with Mass Spectra.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2005

Face Recognition Based on Support Vector Machine Fusion and Wavelet Transform.
Proceedings of the Computational Intelligence and Security, International Conference, 2005

2004
Distributed rate adaptive packet access (DRAPA) for multicell wireless networks.
IEEE Trans. Wirel. Commun., 2004

Adaptive topological tree structure for document organisation and visualisation.
Neural Networks, 2004

Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

Topological Tree for Web Organisation, Discovery and Exploration.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003
Nonlinear Multidimensional Data Projection and Visualisation.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2003

2002
Performance of space-division multiple-access (SDMA) with scheduling.
IEEE Trans. Wirel. Commun., 2002

ViSOM - a novel method for multivariate data projection and structure visualization.
IEEE Trans. Neural Networks, 2002

Data visualisation and manifold mapping using the ViSOM.
Neural Networks, 2002

Image denoising using self-organizing map-based nonlinear independent component analysis.
Neural Networks, 2002

Introduction: new developments in self-organising maps.
Neural Networks, 2002

Self-organizing map applied to image denoising.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Document Clustering Using the 1 + 1 Dimensional Self-Organising Map.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
Self-organizing mixture networks for probability density estimation.
IEEE Trans. Neural Networks, 2001

Receiver design in multicarrier direct-sequence CDMA communications.
IEEE Trans. Commun., 2001

Visualisation Induced SOM (ViSOM).
Proceedings of the Advances in Self-Organising Maps, 2001

Nonlinear Blind Source Separation Using SOMs and Applications to Image Denoising.
Proceedings of the Advances in Self-Organising Maps, 2001

2000
A Simplified ICA Based Denoising Method.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

An SDMA protocol for wireless multimedia networks.
Proceedings of the IEEE International Conference on Acoustics, 2000

An efficient multiuser loading algorithm for OFDM-based broadband wireless systems.
Proceedings of the Global Telecommunications Conference, 2000. GLOBECOM 2000, San Francisco, CA, USA, 27 November, 2000

1999
Averaging ensembles of self-organising mixture networks for density estimation.
Proceedings of the International Joint Conference Neural Networks, 1999

Receiver design in multicarrier DS CDMA communications.
Proceedings of the 1999 IEEE International Conference on Communications: Global Convergence Through Communications, 1999

1995
On the distribution and convergence of feature space in self-organizing maps.
Neural Comput., 1995

1994
Self-Organised Parameter Estimation and Segmentation of MRF Model-Based Texture Images.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993
On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm.
Proceedings of the New Trends in Neural Computation, 1993

1990
Speaker recognition using static and dynamic CEPSTRAL feature by a learning neural network.
Proceedings of the First International Conference on Spoken Language Processing, 1990


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