Junbin Gao
Orcid: 0000-0001-9803-0256Affiliations:
- University of Sydney, Business School, NSW, Australia
- Charles Sturt University, School of Computing and Mathematics, Bathurst, Australia (2002 - 2015)
- University of New England, Armidale, NSW, Australia (2001 - 2005)
- Huazhong University of Science and Technology, Department of Mathematics, Wuhan, China (1982 - 2001)
- Dalian University of Technology, China (PhD 1991)
According to our database1,
Junbin Gao
authored at least 444 papers
between 1993 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Neural Networks Learn. Syst., October, 2024
IEEE Trans. Cybern., October, 2024
IEEE Trans. Knowl. Data Eng., May, 2024
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification.
ACM Trans. Knowl. Discov. Data, May, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
IEEE Trans. Artif. Intell., April, 2024
Int. J. Mach. Learn. Cybern., April, 2024
Mach. Learn., April, 2024
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis.
IEEE Trans. Circuits Syst. Video Technol., February, 2024
Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks.
Neural Networks, January, 2024
Frontiers Inf. Technol. Electron. Eng., January, 2024
Frontiers Inf. Technol. Electron. Eng., January, 2024
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion.
Trans. Mach. Learn. Res., 2024
Trans. Mach. Learn. Res., 2024
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024
Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer.
Neural Networks, 2024
Neurocomputing, 2024
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting.
CoRR, 2024
Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration.
CoRR, 2024
CoRR, 2024
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction.
CoRR, 2024
CoRR, 2024
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model.
CoRR, 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations.
CoRR, 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks.
CoRR, 2024
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting.
CoRR, 2024
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion.
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Advances in Neural Networks - ISNN 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
IEEE Trans. Knowl. Data Eng., December, 2023
IEEE Trans. Neural Networks Learn. Syst., October, 2023
Hierarchical Graph Convolutional Networks for Structured Long Document Classification.
IEEE Trans. Neural Networks Learn. Syst., October, 2023
CSD-R<i>k</i>NN: reverse <i>k</i> nearest neighbors queries with conic section discriminances.
Int. J. Geogr. Inf. Sci., October, 2023
SIAM J. Optim., September, 2023
Neural Networks, August, 2023
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering.
IEEE Trans. Knowl. Data Eng., April, 2023
Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.
IEEE Trans. Intell. Transp. Syst., April, 2023
Robust discriminant analysis with feature selective projection and between-classes structural incoherence.
Digit. Signal Process., April, 2023
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
ACM Trans. Knowl. Discov. Data, January, 2023
Neural Networks, January, 2023
Trans. Mach. Learn. Res., 2023
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082.
Signal Process., 2023
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.
Knowl. Based Syst., 2023
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation.
Neurocomputing, 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.
CoRR, 2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment.
CoRR, 2023
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning.
Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023
TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry.
Proceedings of the Geometric Science of Information - 6th International Conference, 2023
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.
Proceedings of the Asian Conference on Machine Learning, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Intell. Transp. Syst., 2022
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation.
IEEE Trans. Intell. Transp. Syst., 2022
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.
IEEE Trans. Image Process., 2022
A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens., 2022
Probabilistic Linear Discriminant Analysis Based on L<sub>1</sub>-Norm and Its Bayesian Variational Inference.
IEEE Trans. Cybern., 2022
Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network.
IEEE Trans. Affect. Comput., 2022
IEEE Trans. Pattern Anal. Mach. Intell., 2022
Neural Networks, 2022
Multim. Tools Appl., 2022
Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.
J. Vis. Commun. Image Represent., 2022
An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting.
IEEE Intell. Transp. Syst. Mag., 2022
Low-rank and sparse representation based learning for cancer survivability prediction.
Inf. Sci., 2022
Inf. Sci., 2022
A survey of the application of graph-based approaches in stock market analysis and prediction.
Int. J. Data Sci. Anal., 2022
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing.
CoRR, 2022
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.
Artif. Intell. Rev., 2022
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Hierarchical Multiple Granularity Attention Network for Long Document Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.
IEEE Trans. Multim., 2021
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network.
IEEE Trans. Medical Imaging, 2021
ACM Trans. Knowl. Discov. Data, 2021
IEEE Trans. Intell. Transp. Syst., 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Signal Process., 2021
Remote. Sens., 2021
Int. J. Mach. Learn. Cybern., 2021
Mach. Learn., 2021
J. Comput. Graph. Stat., 2021
Inf. Sci., 2021
Neurocomputing, 2021
Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.
IET Comput. Vis., 2021
Expert Syst. J. Knowl. Eng., 2021
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications.
CoRR, 2021
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures.
CoRR, 2021
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification.
CoRR, 2021
IEEE Access, 2021
Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting.
IEEE Access, 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.
ACM Trans. Knowl. Discov. Data, 2020
J. Vis. Commun. Image Represent., 2020
J. Vis. Commun. Image Represent., 2020
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling.
J. Frankl. Inst., 2020
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient.
CoRR, 2020
CoRR, 2020
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.
CoRR, 2020
Variance reduction for Riemannian non-convex optimization with batch size adaptation.
CoRR, 2020
CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries.
CoRR, 2020
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting.
CoRR, 2020
HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.
IEEE Trans. Neural Networks Learn. Syst., 2019
IEEE Trans. Neural Networks Learn. Syst., 2019
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.
IEEE Trans. Multim., 2019
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning.
ACM Trans. Knowl. Discov. Data, 2019
IEEE Trans. Image Process., 2019
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.
IEEE Trans. Cybern., 2019
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.
Remote. Sens., 2019
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.
Remote. Sens., 2019
Pattern Recognit. Lett., 2019
Pattern Anal. Appl., 2019
Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection.
Neural Networks, 2019
Multim. Tools Appl., 2019
J. Multimodal User Interfaces, 2019
Neurocomputing, 2019
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.
Expert Syst. Appl., 2019
CoRR, 2019
IEEE Access, 2019
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Neural Information Processing - 26th International Conference, 2019
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets.
Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
ACM Trans. Knowl. Discov. Data, 2018
IEEE Trans. Image Process., 2018
IEEE Trans. Image Process., 2018
IEEE Trans. Circuits Syst. Video Technol., 2018
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.
Pattern Recognit., 2018
Deep adaptive feature embedding with local sample distributions for person re-identification.
Pattern Recognit., 2018
Pattern Recognit., 2018
IEEE J. Sel. Top. Signal Process., 2018
Neurocomputing, 2018
Locally adaptive sparse representation on Riemannian manifolds for robust classification.
Neurocomputing, 2018
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.
Neurocomputing, 2018
Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data.
Neurocomputing, 2018
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification.
CoRR, 2018
Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation.
IEEE Access, 2018
Proceedings of the Security and Privacy in Communication Networks, 2018
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Future Network Systems and Security - 4th International Conference, 2018
Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018
Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones.
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Image Process., 2017
IEEE Trans. Geosci. Remote. Sens., 2017
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.
IEEE Trans. Circuits Syst. Video Technol., 2017
Contrast normalization steps for increased sensitivity of a retinal image segmentation method.
Signal Image Video Process., 2017
A global-local affinity matrix model via EigenGap for graph-based subspace clustering.
Pattern Recognit. Lett., 2017
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey.
Pattern Anal. Appl., 2017
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2017
Inf. Sci., 2017
Concurr. Comput. Pract. Exp., 2017
Proceedings of the Security and Privacy in Communication Networks, 2017
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
IEEE Trans. Circuits Syst. Video Technol., 2016
SIAM J. Imaging Sci., 2016
Pattern Recognit., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
IEEE Trans. Pattern Anal. Mach. Intell., 2016
Neurocomputing, 2016
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices.
CoRR, 2016
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance.
CoRR, 2016
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis.
CoRR, 2016
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.
CoRR, 2016
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016
Proceedings of the Security and Privacy in Communication Networks, 2016
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016
Fuzzy rule based approach for face and facial feature extraction in biometric authentication.
Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016
Neural network based denoised methods for retinal fundus images and MRI brain images.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Image Process., 2015
Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.
IEEE Trans. Image Process., 2015
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.
IEEE Trans. Cybern., 2015
IEEE Trans. Circuits Syst. Video Technol., 2015
IEEE Trans. Circuits Syst. Video Technol., 2015
Multim. Tools Appl., 2015
Comput. Vis. Image Underst., 2015
Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models.
Circuits Syst. Signal Process., 2015
CoRR, 2015
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation.
CoRR, 2015
Proceedings of the VISAPP 2015, 2015
Proceedings of the Security and Privacy in Communication Networks, 2015
Proceedings of the Security and Privacy in Communication Networks, 2015
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Sparse density estimation on multinomial manifold combining local component analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the Data Science - Second International Conference, 2015
Proceedings of the Data Science - Second International Conference, 2015
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015
2014
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold.
IEEE Trans. Neural Networks Learn. Syst., 2014
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.
IEEE Trans. Neural Networks Learn. Syst., 2014
IEEE Trans. Cybern., 2014
Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.
Sensors, 2014
Knowl. Inf. Syst., 2014
J. Vis. Commun. Image Represent., 2014
Linear time Principal Component Pursuit and its extensions using ℓ<sub>1</sub> filtering.
Neurocomputing, 2014
An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.
BMC Bioinform., 2014
A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization.
Appl. Comput. Intell. Soft Comput., 2014
Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014
Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features.
Proceedings of the VISAPP 2014, 2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the Computer Vision - ACCV 2014, 2014
2013
UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection.
IEEE Trans. Image Process., 2013
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.
Neural Networks, 2013
Neurocomputing, 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the IEEE International Conference on Image Processing, 2013
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.
Proceedings of the IEEE International Conference on Image Processing, 2013
Proceedings of the 18th International Conference on Digital Signal Processing, 2013
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013
Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013
2012
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.
IEEE Trans. Syst. Man Cybern. Part B, 2012
CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012
Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012
2011
Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives.
Int. J. Pattern Recognit. Artif. Intell., 2011
A novel approach in discovering significant interactions from TCM patient prescription data.
Int. J. Data Min. Bioinform., 2011
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011
Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011
2010
IEEE Trans. Neural Networks, 2010
Neural Networks, 2010
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback.
Int. J. Pattern Recognit. Artif. Intell., 2010
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010
Proceedings of the 11th International Conference on Control, 2010
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
2009
Int. J. Pattern Recognit. Artif. Intell., 2009
Neurocomputing, 2009
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009
Initiation of Evolutionary Algorithms.
Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009
Termination Criteria for Evolutionary Algorithms.
Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009
Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009
2008
Neural Comput., 2008
Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Using a Stochastic Funnel to find NLR Starting Values.
Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008
Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008
2007
Neural Networks, 2007
Inf. Sci., 2007
Bioinform., 2007
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007
Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007
Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007
2006
Neural Comput. Appl., 2006
Proceedings of the IEEE International Conference on Systems, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the Database Technologies 2006, 2006
2005
Neural Networks, 2005
E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector.
Proceedings of the 7th International Conference on Electronic Commerce, 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004
Proceedings of the Advances in Artificial Intelligence, 2004
2003
Neurocomputing, 2003
2002
Mach. Learn., 2002
Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002
2001
Neural Comput., 2001
2000
Int. J. Syst. Sci., 2000
1993