Speaker recognition using static and dynamic CEPSTRAL feature by a learning neural network. - Hujun Yin; Tong Zhou (ICSLP, 1990)

On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm. - Hujun Yin; Nigel M. Allinson (IWANN, 1993)

Self-Organised Parameter Estimation and Segmentation of MRF Model-Based Texture Images. - Hujun Yin; Nigel M. Allinson (ICIP (2), 1994)

On the distribution and convergence of feature space in self-organizing maps. - Hujun Yin; Nigel M. Allinson (Neural Comput., 1995)

Receiver design in multicarrier DS CDMA communications. - Hujun Yin; Hui Liu 011 (ICC, 1999)

Averaging ensembles of self-organising mixture networks for density estimation. - Hujun Yin; Nigel M. Allinson (IJCNN, 1999)

An efficient multiuser loading algorithm for OFDM-based broadband wireless systems. - Hujun Yin; Hui Liu 011 (GLOBECOM, 2000)

An SDMA protocol for wireless multimedia networks. - Hujun Yin; Hui Liu 011 (ICASSP, 2000)

A Simplified ICA Based Denoising Method. - Qingfu Zhang 001; Hujun Yin; Nigel M. Allinson (IJCNN (5), 2000)

Nonlinear Blind Source Separation Using SOMs and Applications to Image Denoising. - Michel Haritopoulos; Hujun Yin; Nigel M. Allinson (WSOM, 2001)

Visualisation Induced SOM (ViSOM). - Hujun Yin (WSOM, 2001)

Receiver design in multicarrier direct-sequence CDMA communications. - Hui Liu 011; Hujun Yin (IEEE Trans. Commun., 2001)

Self-organizing mixture networks for probability density estimation. - Hujun Yin; Nigel M. Allinson (IEEE Trans. Neural Networks, 2001)

Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information. - Richard T. Freeman; Hujun Yin (IDEAL, 2002)

Document Clustering Using the 1 + 1 Dimensional Self-Organising Map. - Ben Russell; Hujun Yin; Nigel M. Allinson (IDEAL, 2002)

Self-organizing map applied to image denoising. - Michel Haritopoulos; Hujun Yin; Nigel M. Allinson (NNSP, 2002)

Introduction: new developments in self-organising maps. - Nigel M. Allinson; Hujun Yin; Klaus Obermayer (Neural Networks, 2002)

Image denoising using self-organizing map-based nonlinear independent component analysis. - Michel Haritopoulos; Hujun Yin; Nigel M. Allinson (Neural Networks, 2002)

Data visualisation and manifold mapping using the ViSOM. - Hujun Yin (Neural Networks, 2002)

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

Performance of space-division multiple-access (SDMA) with scheduling. - Hujun Yin; Hui Liu 011 (IEEE Trans. Wirel. Commun., 2002)

Nonlinear Multidimensional Data Projection and Visualisation. - Hujun Yin (IDEAL, 2003)

Topological Tree for Web Organisation, Discovery and Exploration. - Richard T. Freeman; Hujun Yin (IDEAL, 2004)

Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric. - Carla S. Möller-Levet; Hujun Yin (IDEAL, 2004)

Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data. - Swapna Sarvesvaran; Hujun Yin (IDEAL, 2004)

Modelling gene expression time-series with radial basis function neural networks. - Carla S. Möller-Levet; Kwang-Hyun Cho; Hujun Yin; Olaf Wolkenhauer (IJCNN, 2004)

Adaptive topological tree structure for document organisation and visualisation. - Richard T. Freeman; Hujun Yin (Neural Networks, 2004)

Distributed rate adaptive packet access (DRAPA) for multicell wireless networks. - Hujun Yin; Hui Liu 011 (IEEE Trans. Wirel. Commun., 2004)

Face Recognition Based on Support Vector Machine Fusion and Wavelet Transform. - Bicheng Li; Hujun Yin (CIS (2), 2005)

Matching Peptide Sequences with Mass Spectra. - K. W. Lau; Benjamin J. Stapley; Simon J. Hubbard; Hujun Yin (IDEAL, 2005)

Circular SOM for Temporal Characterisation of Modelled Gene Expressions. - Carla S. Möller-Levet; Hujun Yin (IDEAL, 2005)

Face Recognition Using RBF Neural Networks and Wavelet Transform. - Bicheng Li; Hujun Yin (ISNN (2), 2005)

Clustering of unevenly sampled gene expression time-series data. - Carla S. Möller-Levet; Frank Klawonn; Kwang-Hyun Cho; Hujun Yin; Olaf Wolkenhauer (Fuzzy Sets Syst., 2005)

Modeling and analysis of gene expression time-series based on co-expression. - Carla S. Möller-Levet; Hujun Yin (Int. J. Neural Syst., 2005)

Tree view self-organisation of web content. - Richard T. Freeman; Hujun Yin (Neurocomputing, 2005)

Web content management by self-organization. - Richard T. Freeman; Hujun Yin (IEEE Trans. Neural Networks, 2005)

Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks. - Yi Wang 008; Hujun Yin; Li-Zhu Zhou; Zhi-Qiang Liu (ICONIP (2), 2006)

ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring. - Hujun Yin; Israr Hussain (IDEAL, 2006)

Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. - Lei A. Clifton; Hujun Yin; Yang Zhang (ISNN (2), 2006)

Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction. - He Ni; Hujun Yin (ISNN (2), 2006)

Kernel self-organising maps for classification. - K. W. Lau; Hujun Yin; Simon J. Hubbard (Neurocomputing, 2006)

Special Issue on Adaptive Learning Algorithms. - Hujun Yin (J. Math. Model. Algorithms, 2006)

PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns. - Thomas McLaughlin; Jennifer A. Siepen; Julian N. Selley; Jennifer A. Lynch; King Wai Lau; Hujun Yin; Simon J. Gaskell; Simon J. Hubbard (Nucleic Acids Res., 2006)

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

Boosting Unsupervised Competitive Learning Ensembles. - Emilio Corchado; Bruno Baruque; Hujun Yin (ICANN (1), 2007)

Combined Support Vector Novelty Detection for Multi-channel Combustion Data. - Lei A. Clifton; Hujun Yin; David A. Clifton; Yang Zhang (ICNSC, 2007)

Quality of Adaptation of Fusion ViSOM. - Bruno Baruque; Emilio Corchado; Hujun Yin (IDEAL, 2007)

Time-Series Prediction Using Self-Organising Mixture Autoregressive Network. - He Ni; Hujun Yin (IDEAL, 2007)

Connection between Self-Organizing Maps and Metric Multidimensional Scaling. - Hujun Yin (IJCNN, 2007)

ViSOM Ensembles for Visualization and Classification. - Bruno Baruque; Emilio Corchado; Hujun Yin (IWANN, 2007)

Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models. - Bruno Baruque; Emilio Corchado; Hujun Yin; Jordi Rovira; Javier González 007 (KES (2), 2007)

Nonlinear dimensionality reduction and data visualization: A review. - Hujun Yin (Int. J. Autom. Comput., 2007)

Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition. - Zareen Mehboob; Hujun Yin (HAIS, 2008)

Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches. - Hujun Yin (HAIS, 2008)

Decoding Population Neuronal Responses by Topological Clustering. - Hujun Yin; Stefano Panzeri; Zareen Mehboob; Mathew E. Diamond (ICANN (2), 2008)

Semi-supervised Growing Neural Gas for Face Recognition. - Shireen Mohd Zaki; Hujun Yin (IDEAL, 2008)

Topological clustering of synchronous spike trains. - Zareen Mehboob; Stefano Panzeri; Mathew E. Diamond; Hujun Yin (IJCNN, 2008)

Independent component analysis and nongaussianity for blind image deconvolution and deblurring. - Hujun Yin; Israr Hussain (Integr. Comput. Aided Eng., 2008)

Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling. - He Ni; Hujun Yin (Int. J. Neural Syst., 2008)

Special Issue Arising from the IDEAL 2007 Conference. - John A. Keane; Hujun Yin; Victor J. Rayward-Smith (J. Math. Model. Algorithms, 2008)

A Semi-Supervised Learning Algorithm for Growing Neural Gas in Face Recognition. - Shireen Mohd Zaki; Hujun Yin (J. Math. Model. Algorithms, 2008)

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

The Self-Organizing Maps: Background, Theories, Extensions and Applications. - Hujun Yin (Computational Intelligence: A Compendium, 2008)

A General Fuzzy Modeling Approach to Detection Decision Fusion. - Bicheng Li; Huang Jie; Hujun Yin (FCST, 2009)

Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series. - Hujun Yin; He Ni (ICANN (1), 2009)

Multi-user MIMO and adaptive frequency reuse for next-generation mobile broadband networks. - Clark Chen; Yang-Seok Choi; Nageen Himayat; Minnie Ho; Vladimir Kravtsov; Guangjie Li; Qinghua Li; Yuval Lomnitz; Hongmei Sun; Hua Yang; Shilpa Talwar; Hujun Yin; et al. (ICASSP, 2009)

Linear and nonlinear dimensionality reduction for face recognition. - Weilin Huang; Hujun Yin (ICIP, 2009)

Information Preserving Empirical Mode Decomposition for Filtering Field Potentials. - Zareen Mehboob; Hujun Yin (IDEAL, 2009)

ViSOM for Dimensionality Reduction in Face Recognition. - Weilin Huang; Hujun Yin (WSOM, 2009)

Generalized Self-Organizing Mixture Autoregressive Model. - Hujun Yin; He Ni (WSOM, 2009)

Enabling collocated coexistence in IEEE 802.16 networks via perceived concurrency. - Jing Zhu 001; Hujun Yin (IEEE Commun. Mag., 2009)

Exchange rate prediction using hybrid neural networks and trading indicators. - He Ni; Hujun Yin (Neurocomputing, 2009)

A self-organising mixture autoregressive network for FX time series modelling and prediction. - He Ni; Hujun Yin (Neurocomputing, 2009)

A dissimilarity kernel with local features for robust facial recognition. - Weilin Huang; Hujun Yin (ICIP, 2010)

Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD. - Zareen Mehboob; Hujun Yin (IDEAL, 2010)

Gradient-based SOM clustering and visualisation methods. - José Alfredo F. Costa; Hujun Yin (IJCNN, 2010)

Adaptive nonlinear manifolds and their applications to pattern recognition. - Hujun Yin; Weilin Huang (Inf. Sci., 2010)

Eigenlights: Recovering Illumination from Face Images. - James Burnstone; Hujun Yin (IDEAL, 2011)

Spectral Non-gaussianity for Blind Image Deblurring. - Aftab Khan; Hujun Yin (IDEAL, 2011)

The S2-Ensemble Fusion Algorithm. - Bruno Baruque; Emilio Corchado; Hujun Yin (Int. J. Neural Syst., 2011)

Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials. - Zareen Mehboob; Hujun Yin (Int. J. Neural Syst., 2011)

Introduction. - Hujun Yin (Int. J. Neural Syst., 2011)

Abnormal Event Detection via Multi-Instance Dictionary Learning. - Jing Huo; Yang Gao 001; Wanqi Yang; Hujun Yin (IDEAL, 2012)

Multivoxel Pattern Analysis Using Information-Preserving EMD. - Zareen Mehboob; Hujun Yin; Sophie M. Wuerger; Laura M. Parkes (IDEAL, 2012)

Efficient blind image deconvolution using spectral non-Gaussianity. - Aftab Khan; Hujun Yin (Integr. Comput. Aided Eng., 2012)

Introduction. - Hujun Yin; David A. Clifton (Int. J. Neural Syst., 2012)

On nonlinear dimensionality reduction for face recognition. - Weilin Huang; Hujun Yin (Image Vis. Comput., 2012)

Image Super Resolution via Visual Prior Based Digital Image Characteristics. - Yusheng Jia; Wanqi Yang; Yang Gao 001; Hujun Yin; Yinghuan Shi (IDEAL, 2013)

Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model. - Yicun Ouyang; Hujun Yin (IDEAL, 2013)

Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. - Liqiang Qian; Yinghuan Shi; Yang Gao 001; Hujun Yin (IDEAL, 2013)

Time series prediction with a non-causal neural network. - Yicun Ouyang; Hujun Yin (CIFEr, 2014)

Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. - Liang Chen; Ming Yang 014; Cheng Deng; Hujun Yin (IDEAL, 2014)

Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model. - Yicun Ouyang; Hujun Yin (IDEAL, 2014)

Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. - Jing Huo; Yang Gao 001; Wanqi Yang; Hujun Yin (Int. J. Neural Syst., 2014)

Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction. - Yu-Bin Yang; Ya-Nan Li; Yang Gao 001; Hujun Yin; Ye Tang (Int. J. Neural Syst., 2014)

A neural gas mixture autoregressive network for modelling and forecasting FX time series. - Yicun Ouyang; Hujun Yin (Neurocomputing, 2014)

Probabilistic Novelty Detection With Support Vector Machines. - Lei A. Clifton; David A. Clifton; Yang Zhang; Peter J. Watkinson; Lionel Tarassenko; Hujun Yin (IEEE Trans. Reliab., 2014)

Multistep Forecast of FX Rates Using an Extended Self-organizing Regressive Neural Network. - Yicun Ouyang; Hujun Yin (IDEAL, 2015)

Multi-manifold Approach to Multi-view Face Recognition. - Shireen Mohd Zaki; Hujun Yin (IDEAL, 2015)

A Self-Organising Multi-Manifold Learning Algorithm. - Hujun Yin; Shireen Mohd Zaki (IWINAC (2), 2015)

Expression Classification and Intensity Estimation by Expression Manifold Synthesis. - Yao Peng 001; Hujun Yin (IDEAL, 2016)

Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. - Jing Huo; Yang Gao 001; Yinghuan Shi; Wanqi Yang; Hujun Yin (ACM Multimedia, 2016)

Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification. - Ali AlSuwaidi; Bruce Grieve; Hujun Yin (IDEAL, 2017)

Universum Discriminant Canonical Correlation Analysis. - Xiaohong Chen 001; Hujun Yin; Menglei Hu; Liping Wang 007 (IDEAL, 2017)

Markov Random Field Based Convolutional Neural Networks for Image Classification. - Yao Peng 001; Hujun Yin (IDEAL, 2017)

Variation Robust Cross-Modal Metric Learning for Caricature Recognition. - Jing Huo; Yang Gao 001; Yinghuan Shi; Hujun Yin (ACM Multimedia (Thematic Workshops), 2017)

WebCaricature: a benchmark for caricature face recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (CoRR, 2017)

Robust face recognition with structural binary gradient patterns. - Weilin Huang; Hujun Yin (Pattern Recognit., 2017)

WebCaricature: a benchmark for caricature recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (BMVC, 2018)

Automatic Tree Annotation in LiDAR Data. - Ananya Gupta; Jonathan Byrne; David Moloney; Simon Watson 001; Hujun Yin (GISTAM, 2018)

Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks. - Richard Hankins; Yao Peng 001; Hujun Yin (IDEAL (1), 2018)

Deep Neural Networks with Markov Random Field Models for Image Classification. - Yao Peng 001; Menyu Liu; Hujun Yin (IDEAL (1), 2018)

SOMNet: Unsupervised Feature Learning Networks for Image Classification. - Richard Hankins; Yao Peng 001; Hujun Yin (IJCNN, 2018)

Breaking the Activation Function Bottleneck through Adaptive Parameterization. - Sebastian Flennerhag; Hujun Yin; John A. Keane; Mark J. Elliot (NeurIPS, 2018)

Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models. - Yicun Ouyang; Hujun Yin (Int. J. Neural Syst., 2018)

Multi-view dimensionality reduction based on Universum learning. - Xiaohong Chen 001; Hujun Yin; Fan Jiang 004; Liping Wang 007 (Neurocomputing, 2018)

Robust ordinal regression induced by lp-centroid. - Qing Tian 002; Wenqiang Zhang; Liping Wang 007; Songcan Chen; Hujun Yin (Neurocomputing, 2018)

Facial expression analysis and expression-invariant face recognition by manifold-based synthesis. - Yao Peng 001; Hujun Yin (Mach. Vis. Appl., 2018)

Feature-Ensemble-Based Novelty Detection for Analyzing Plant Hyperspectral Datasets. - Ali AlSuwaidi; Bruce Grieve; Hujun Yin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. - Jing Huo; Yang Gao 001; Yinghuan Shi; Wanqi Yang; Hujun Yin (IEEE Trans. Cybern., 2018)

Cross-Modal Metric Learning for AUC Optimization. - Jing Huo; Yang Gao 001; Yinghuan Shi; Hujun Yin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Feature Pyramid Encoding Network for Real-time Semantic Segmentation. - Mengyu Liu; Hujun Yin (BMVC, 2019)

Post Disaster Mapping With Semantic Change Detection in Satellite Imagery. - Ananya Gupta; Elisabeth Welburn; Simon Watson 001; Hujun Yin (CVPR Workshops, 2019)

Deep Learning Models for Denoising ECG Signals. - Corneliu T. C. Arsene; Richard Hankins; Hujun Yin (EUSIPCO, 2019)

CNN-Based Semantic Change Detection in Satellite Imagery. - Ananya Gupta; Elisabeth Welburn; Simon Watson 001; Hujun Yin (ICANN (Workshop), 2019)

Cross Attention Network for Semantic Segmentation. - Mengyu Liu; Hujun Yin (ICIP, 2019)

Multitemporal Aerial Image Registration Using Semantic Features. - Ananya Gupta; Yao Peng 001; Simon Watson 001; Hujun Yin (IDEAL (2), 2019)

Tracking Position and Status of Electric Control Switches Based on YOLO Detector. - Xingang Mou; Jian Cui; Hujun Yin; Xiao Zhou 006 (IDEAL (1), 2019)

Image Quality Constrained GAN for Super-Resolution. - Jingwen Su; Yao Peng 001; Hujun Yin (IDEAL (1), 2019)

Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features. - Ananya Gupta; Yao Peng 001; Simon Watson 001; Hujun Yin (CoRR, 2019)

Meta-Learning with Warped Gradient Descent. - Sebastian Flennerhag; Andrei A. Rusu; Razvan Pascanu; Hujun Yin; Raia Hadsell (CoRR, 2019)

ApprGAN: appearance-based GAN for facial expression synthesis. - Yao Peng 001; Hujun Yin (IET Image Process., 2019)

Relationships Self-Learning Based Gender-Aware Age Estimation. - Qing Tian 002; Meng Cao 005; Songcan Chen; Hujun Yin (Neural Process. Lett., 2019)

Meta-Learning with Warped Gradient Descent. - Sebastian Flennerhag; Andrei A. Rusu; Razvan Pascanu; Francesco Visin; Hujun Yin; Raia Hadsell (ICLR, 2020)

Automatic Multispectral Image Classification of Plant Virus from Leaf Samples. - Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL (1), 2020)

Improving Adversarial Learning with Image Quality Measures for Image Deblurring. - Jingwen Su; Hujun Yin (IDEAL (1), 2020)

A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing. - Boyan Xu; Hujun Yin (IDEAL (1), 2020)

3D Point Cloud Feature Explanations Using Gradient-Based Methods. - Ananya Gupta; Simon Watson 001; Hujun Yin (IJCNN, 2020)

Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems. - Antonio González-Pardo; Antonio J. Tallón-Ballesteros; Hujun Yin (Expert Syst. J. Knowl. Eng., 2020)

Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks. - Yao Peng 001; Richard Hankins; Hujun Yin (Neurocomputing, 2020)

Real-time human cross-race aging-related face appearance detection with deep convolution architecture. - Qing Tian; Wenqiang Zhang; Junxiang Mao; Hujun Yin (J. Real Time Image Process., 2020)

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. - Ananya Gupta; Jonathan Byrne; David Moloney; Simon Watson 001; Hujun Yin (IEEE Trans. Geosci. Remote. Sens., 2020)

Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. - Qing Tian 001; Wenqiang Zhang; Meng Cao 005; Liping Wang 007; Songcan Chen; Hujun Yin (ACM Trans. Intell. Syst. Technol., 2020)

Dual Graph-Based Context Aggregation for Scene Parsing. - Mengyu Liu; Hujun Yin (BMVC, 2021)

Efficient Multi-Objective GANs for Image Restoration. - Jingwen Su; Hujun Yin (ICASSP, 2021)

Sparse Spatial Attention Network For Semantic Segmentation. - Mengyu Liu; Hujun Yin (ICIP, 2021)

Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data. - Tajul Miftahushudur; Bruce Grieve; Hujun Yin (IDEAL, 2021)

DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring. - Boyan Xu; Hujun Yin (IDEAL, 2021)

Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. - Boyan Xu; Hujun Yin (IJCNN, 2021)

Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. - Hanlin Niu; Ze Ji; Farshad Arvin; Barry Lennox; Hujun Yin; Joaquín Carrasco (SII, 2021)

Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. - Hanlin Niu; Ze Ji; Pietro Liguori; Hujun Yin; Joaquín Carrasco (SII, 2021)

3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. - Hanlin Niu; Ze Ji; Zihang Zhu; Hujun Yin; Joaquín Carrasco (SII, 2021)

Deep learning-based aerial image segmentation with open data for disaster impact assessment. - Ananya Gupta; Simon Watson 001; Hujun Yin (Neurocomputing, 2021)

Efficient pyramid context encoding and feature embedding for semantic segmentation. - Mengyu Liu; Hujun Yin (Image Vis. Comput., 2021)

Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks. - Tian Meng; Yang Tao; Ziqi Chen; Jorge R. Salas Avila; Qiaoye Ran; Yuchun Shao; Ruochen Huang; Yuedong Xie; Qian Zhao 013; Zhijie Zhang 001; Hujun Yin; Anthony J. Peyton; et al. (IEEE Trans. Instrum. Meas., 2021)

Structure-Exploiting Discriminative Ordinal Multioutput Regression. - Qing Tian 001; Meng Cao 005; Songcan Chen; Hujun Yin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring. - Aftab Khan; Hujun Yin (Vis. Comput., 2021)

Scene Context Enhanced Network for Person Search. - Mengyuan Ma; Hujun Yin (ICIP, 2022)

A U-Net Based Progressive GAN for Microscopic Image Augmentation. - Qifan Zhou; Hujun Yin (MIUA, 2022)

A survey of deep learning approaches to image restoration. - Jingwen Su; Boyan Xu; Hujun Yin (Neurocomputing, 2022)

Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering. - Yao Peng 001; Bin Cui 004; Hujun Yin; Yonghong Zhang; Peijun Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. - Qing Tian 001; Yanan Zhu; Heyang Sun; Songcan Chen; Hujun Yin (IEEE Trans. Circuits Syst. Video Technol., 2022)

A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. - Qing Tian 001; Chuang Ma; Meng Cao 005; Songcan Chen; Hujun Yin (IEEE Trans. Cybern., 2022)

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. - Jing Huo; Xiangde Liu; Wenbin Li 006; Yang Gao 001; Hujun Yin; Jiebo Luo 001 (IEEE Trans. Image Process., 2022)

Enhanced SVM-SMOTE with Cluster Consistency for Imbalanced Data Classification. - Tajul Miftahushudur; Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL, 2023)

Combining of Markov Random Field and Convolutional Neural Networks for Hyper/Multispectral Image Classification. - Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (IDEAL, 2023)

The University of Manchester (UoM) Dataset. - Ali AlSuwaidi; Halil Mertkan Sahin; Bruce Grieve; Hujun Yin (Zenodo, 2023)

Segmentation of weeds and crops using multispectral imaging and CRF-enhanced U-Net. - Halil Mertkan Sahin; Tajul Miftahushudur; Bruce Grieve; Hujun Yin (Comput. Electron. Agric., 2023)

DRLFluent: A distributed co-simulation framework coupling deep reinforcement learning with Ansys-Fluent on high-performance computing systems. - Yiqian Mao; Shan Zhong; Hujun Yin (J. Comput. Sci., 2023)

KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. - Mengyuan Ma; Lin Qian; Hujun Yin (ICANN (2), 2024)

Self-Supervised Multi-View Stereo with Adaptive Depth Priors. - Lintao Xiang; Hujun Yin (ICIP, 2024)

Fourier Ptychography With Information Entropy Based No-Reference Image Quality Assessment Learning. - Qijun Yang; Hujun Yin (ICIP, 2024)

Self-supervised Learning based on Domain Interpolation for Histopathological Image Analysis. - Yating Huang; Hujun Yin (IJCNN, 2024)

Few-Shot Object Detection with Enhanced Prototypes. - Mengyuan Ma; Hujun Yin (UKCI, 2024)

Contrastive Learning for Limited Medical Data - A Bipartite Strategy for Detection Tasks. - Qifan Zhou; Hujun Yin (UKCI, 2024)

Permuted KPCA and SMOTE to Guide GAN-Based Oversampling for Imbalanced HSI Classification. - Tajul Miftahushudur; Bruce Grieve; Hujun Yin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Enhanced Edge Information and Prototype Constrained Clustering for SAR Change Detection. - Bin Cui 004; Yao Peng 001; Yonghong Zhang; Hujun Yin; Hong Fang; Shanchuan Guo; Peijun Du (IEEE Trans. Geosci. Remote. Sens., 2024)

A slimmer and deeper approach to deep network structures for low-level vision tasks. - Boyan Xu; Hujun Yin (Expert Syst. J. Knowl. Eng., 2024)

Design and Experimental Validation of Deep Reinforcement Learning-Based Fast Trajectory Planning and Control for Mobile Robot in Unknown Environment. - Runqi Chai; Hanlin Niu; Joaquín Carrasco; Farshad Arvin; Hujun Yin; Barry Lennox (IEEE Trans. Neural Networks Learn. Syst., 2024)

Feature-enhanced representation with transformers for multi-view stereo. - Lintao Xiang; Hujun Yin (IET Image Process., 2024)

High-frequency channel attention and contrastive learning for image super-resolution. - Tianyu Yan; Hujun Yin (Vis. Comput., 2024)

EST-STFM: An Efficient Deep-Learning-Based Spatiotemporal Fusion Method for Remote Sensing Images. - Qiyuan Zhang; Xiaodan Zhang 007; Chen Quanshid Ahmad; Yuping Wang; Hujun Yin; Michel Ab-dalla; Kapluk Chan; Sherlock Au; Chaib-draa Brahim; Tong Zhao; Wei Huo; Yuanchen Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Geometric Prior-Guided Neural Implicit Surface Reconstruction in the Wild. - Lintao Xiang; Hongpei Zheng; Bailin Deng; Hujun Yin (CoRR, 2025)

PointGS: Point Attention-Aware Sparse View Synthesis with Gaussian Splatting. - Lintao Xiang; Hongpei Zheng; Yating Huang; Qijun Yang; Hujun Yin (CoRR, 2025)