Junbin Gao

发表

Radial Basis Function Network Pruning by Sensitivity Analysis

Daming Shi, Junbin Gao, Daniel S. Yeung, 2004, Canadian Conference on AI.

Matrix variate RBM model with Gaussian distributions

Junbin Gao, Simeng Liu, Yanfeng Sun, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Sparse Density Estimation on the Multinomial Manifold

Sheng Chen, Junbin Gao, Xia Hong, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Kernelized Low Rank Representation on Grassmann Manifolds pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2015, ArXiv.

Learning on Probabilistic Modelling Using Grassmann Manifolds

Junbin Gao, Muhammad Ali, Junbin Gao, 2016 .

The Image Matting Method with Regularized Matte

Manoranjan Paul, Junbin Gao, Jun Liu, 2012, 2012 IEEE International Conference on Multimedia and Expo.

Log-Euclidean Metrics for Contrast Preserving Decolorization

Henry Leung, Junbin Gao, Yuhao Wang, 2017, IEEE Transactions on Image Processing.

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition

Xue Li, Lin Wu, Yang Wang, 2019, IEEE Transactions on Cybernetics.

Extended nearest neighbor chain induced instance-weights for SVMs

Jian Yang, Junbin Gao, Fa Zhu, 2016, Pattern Recognit..

Image segmentation using random features

Junbin Gao, Geoffrey Bull, Michael Antolovich, 2014, International Conference on Graphic and Image Processing.

Automatic Retinal Vessel Extraction Algorithm

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis

Junbin Gao, Mingyuan Bai, Boyan Zhang, 2017, ICONIP.

Critical vector learning to construct RBF classifiers

Daming Shi, Junbin Gao, Daniel S. Yeung, 2004, ICPR 2004.

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups

Shuicheng Yan, Junbin Gao, Wei Zheng, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Filtering financial time series by least squares

Junbin Gao, Lihong Zheng, Adrian Letchford, 2013, Int. J. Mach. Learn. Cybern..

SVM regression through variational methods and its sequential implementation

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2003, Neurocomputing.

Application of Learning from Demonstration to a Mining Tunnel Inspection Robot

Junbin Gao, Michael Antolovich, Fenglu Ge, 2011, 2011 First International Conference on Robot, Vision and Signal Processing.

MLE-Based Learning on Grassmann Manifolds

Junbin Gao, Muhammad Ali, Michael Antolovich, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Subspace Clustering for Sequential Data

Junbin Gao, Stephen Tierney, Yi Guo, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Optimizing Mask and Dictionary of Compressive Light Field Photography

Junbin Gao, Baocai Yin, Wenpeng Ding, 2014, 2014 5th International Conference on Digital Home.

Regression with Input-dependent Noise: a Relevance Vector Machine Treatment

Junbin Gao, Martin Brown, Chris J. Harris, 2001 .

Detection of Human Faces Using Neural Networks

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, ICONIP.

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification pdf

Lin Wu, Yang Wang, Junbin Gao, 2018, ArXiv.

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ACM Trans. Knowl. Discov. Data.

Linear Subspace Learning via sparse dimension reduction

Junbin Gao, Ming Yin, Yi Guo, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Fast and Robust Biometric Authentication Scheme Using Human Ear

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2017, ATCS/SePrIoT@SecureComm.

Spatial-temporal dynamic hand gesture recognition via hybrid deep learning model

Dehui Kong, Junbin Gao, Jinghua Li, 2019, Journal on Multimodal User Interfaces.

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

Junbin Gao, Yanfeng Sun, Yongli Hu, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification

Junbin Gao, Junjun Jiang, Zhihua Cai, 2017, IEEE Geoscience and Remote Sensing Letters.

Sensitivity analysis applied to the construction of radial basis function networks

Daming Shi, Junbin Gao, Daniel S. Yeung, 2005, Neural Networks.

A multi-step strategy for approximate similarity search in image databases

Junbin Gao, Paul Wing Hing Kwan, Junbin Gao, 2006, ADC.

Robust multivariate L1 principal component analysis and dimensionality reduction

Junbin Gao, Paul Wing Hing Kwan, Yi Guo, 2009, Neurocomputing.

Robust Multinomial Logistic Regression Based on RPCA

Junbin Gao, Zongze Wu, Shengli Xie, 2018, IEEE Journal of Selected Topics in Signal Processing.

On the construction of support wavelet network

Daming Shi, Junbin Gao, Fei Chen, 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

SRNN: Self-regularized neural network

Jian Yang, Hanjiang Lai, Shuicheng Yan, 2018, Neurocomputing.

Retinal Blood Vessels Extraction of Challenging Images

Manoranjan Paul, Junbin Gao, Lihong Zheng, 2018, AusDM.

Visualization of Non-vectorial Data Using Twin Kernel Embedding

Junbin Gao, Yi Guo, P.W.H. Kwan, 2006, 2006 International Workshop on Integrating AI and Data Mining.

Reflectance Prediction Modelling for Residual-Based Hyperspectral Image Coding

Manoranjan Paul, Junbin Gao, Terry Bossomaier, 2016, PloS one.

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

Junbin Gao, Ming Yin, Qinfeng Shi, 2015, IEEE Transactions on Image Processing.

Prediction of student actions using weighted Markov models

Junbin Gao, Xiaodi Huang, Jiuyong Li, 2008, 2008 IEEE International Symposium on IT in Medicine and Education.

Human detection and localization in secure access control by analysing facial features

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA).

A Review for Weighted MinHash Algorithms pdf

Bin Li, Chengqi Zhang, Junbin Gao, 2018, IEEE Transactions on Knowledge and Data Engineering.

Automatic segmentation of equine larynx for diagnosis of laryngeal hemiplegia

Junbin Gao, Lihong Zheng, Md. Musfequs Salehin, 2013 .

Finding the samples near the decision plane for support vector learning

Jian Yang, Junbin Gao, Sheng Xu, 2017, Inf. Sci..

Simulated maximum likelihood method for estimating kinetic rates in gene expression

Junbin Gao, Tianhai Tian, Kevin Burrage, 2007, Bioinform..

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection

Junbin Gao, Md Zahidul Islam, Terry Bossomaier, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Penalized Least Squares for Smoothing Financial Time Series

Junbin Gao, Lihong Zheng, Adrian Letchford, 2011, Australasian Conference on Artificial Intelligence.

Spatial subspace clustering for drill hole spectral data

Junbin Gao, Yi Guo, Feng Li, 2014 .

Extracting depth information from stereo images using a fast correlation matching algorithm

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2020 .

Shared Deep Kernel Learning for Dimensionality Reduction

Dongmei Zhang, Junbin Gao, Xiaobo Liu, 2018, PAKDD.

Robust ear biometric recognition using neural network

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2017, 2017 12th IEEE Conference on Industrial Electronics and Applications (ICIEA).

Robust L1 PCA and application in image denoising

Junbin Gao, Paul Kwan, Yi Guo, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning

Junbin Gao, Yanfeng Sun, Yongli Hu, 2018, Neurocomputing.

Sparse model construction using coordinate descent optimization

Sheng Chen, Junbin Gao, Xia Hong, 2013, 2013 18th International Conference on Digital Signal Processing (DSP).

Matrix Variate RBM and Its Applications pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ArXiv.

The construction of wavelet network for speech signal processing

Daming Shi, Junbin Gao, Fei Chen, 2006, Neural Computing & Applications.

Conics Detection Method based on Pascal's Theorem

Junbin Gao, Lihong Zheng, Md. Musfequs Salehin, 2015, VISAPP.

A User-Centered Framework for Adaptive Fingerprint Identification

Junbin Gao, Graham Leedham, Paul Wing Hing Kwan, 2009, PAISI.

Human Surveillance System for Security Application

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2015, SecureComm.

Gaussian Process for Dimensionality Reduction in Transfer Learning

Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki, 2011, SDM.

Low rank sequential subspace clustering

Feng Li, Junbin Gao, Ming Yin, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

RUM Based Calcium Pulse Modeling

Shaoqun Zeng, Jun Zhang, Junbin Gao, 2009 .

Dimensionality reduction assisted tensor clustering

Junbin Gao, Yanfeng Sun, Xia Hong, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Joint multiple dictionary learning for Tensor sparse coding

Junbin Gao, Yanfeng Sun, Xia Hong, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data

Junbin Gao, Paul Wing Hing Kwan, Yi Guo, 2006, Australian Conference on Artificial Intelligence.

Study of the Noise Level in the Colour Fundus Images

Junbin Gao, Toufique Ahmed Soomro, 2015, ICDS.

Fuzzy rule based approach for face and facial feature extraction in biometric authentication

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives

Keisuke Kameyama, Junbin Gao, Kazuo Toraichi, 2011, Int. J. Pattern Recognit. Artif. Intell..

Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm

Junbin Gao, Hao Chen, Josiah Poon, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines

Daming Shi, Junbin Gao, Xinwei Jiang, 2014, IEEE Transactions on Cybernetics.

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering

Junbin Gao, Zhixun Su, Zhouchen Lin, 2014, Neurocomputing.

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2018, IEEE Access.

CAIRAD: A Novel Technique for Incorrect Records and Attribute-values Detection, In Proc. of IEEE International Joint Conference on Neural Networks

Junbin Gao, Zahidul Islam, Anisur Rahman, 2012 .

Low Rank Representation on Grassmann Manifolds

Junbin Gao, Yanfeng Sun, Yongli Hu, 2014, ACCV.

Facial Analysis With a Lie Group Kernel

Shuicheng Yan, Junbin Gao, Tianjiang Wang, 2015, IEEE Transactions on Circuits and Systems for Video Technology.

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data

Junbin Gao, Paul Wing Hing Kwan, Yi Guo, 2009, Australasian Conference on Artificial Intelligence.

Cyclone Track Prediction with Matrix Neural Networks

Junbin Gao, Rohitash Chandra, Yanfei Zhang, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Functional Locality Preserving Projection for Dimensionality Reduction

Junbin Gao, Xia Hong, Xin Song, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Rock Fragment Boundary Detection Using Compressed Random Features

Junbin Gao, Geoff Bull, Michael Antolovich, 2014, VISIGRAPP.

Natural Image Matting with Total Variation Regularisation

Junbin Gao, Stephen Tierney, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds

Junbin Gao, Zhaoshui He, Shengli Xie, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Smoothing Security Prices

Junbin Gao, Lihong Zheng, Adrian Letchford, 2014, 2014 22nd International Conference on Pattern Recognition.

Segmentation of Subspaces in Sequential Data pdf

Junbin Gao, Stephen Tierney, Yi Guo, 2015, ArXiv.

Robust L1 Principal Component Analysis and Its Bayesian Variational Inference

Junbin Gao, Junbin Gao, 2008, Neural Computation.

Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia

Junbin Gao, Xuezhong Zhou, Runshun Zhang, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Kernelized LRR on Grassmann Manifolds for Subspace Clustering pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ArXiv.

Zero-Attracting Recursive Least Squares Algorithms

Sheng Chen, Junbin Gao, Xia Hong, 2017, IEEE Transactions on Vehicular Technology.

3D motion estimation for 3D video coding

Manoranjan Paul, Junbin Gao, Michael Antolovich, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robot learning by a mining tunnel inspection robot

Junbin Gao, Fenglu Ge, W. Moore, 2012, 2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).

Robust face recognition via double low-rank matrix recovery for feature extraction

Junbin Gao, Ming Yin, Shuting Cai, 2013, 2013 IEEE International Conference on Image Processing.

E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector

Junbin Gao, A. S. M. Sajeev, Kishor Vaidya, 2005, ICEC '05.

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution

Junbin Gao, Ming Yin, Yi Guo, 2013, 2013 IEEE International Conference on Image Processing.

Tensor LRR based subspace clustering

Junbin Gao, David Tien, Zhouchen Lin, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Boosting sensitivity of a retinal vessel segmentation algorithm

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2017, Pattern Analysis and Applications.

Significant vector learning to construct sparse kernel regression models

Daming Shi, Junbin Gao, Xiaomao Liu, 2007, Neural Networks.

Sparse Least Squares Low Rank Kernel Machines pdf

Junbin Gao, Xia Hong, Di Xu, 2019, ICONIP.

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2015, ArXiv.

Tractable Clustering of Data on the Curve Manifold pdf

Junbin Gao, Zheng Zhang, Stephen Tierney, 2017, ArXiv.

Learning graph structure for multi-label image classification via clique generation

Junbin Gao, Mingkui Tan, Zhen Zhang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Dimensionality Reduction with Dimension Selection

Feng Li, Junbin Gao, Yi Guo, 2013, PAKDD.

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations

Jian Yang, Junbin Gao, Jianjun Qian, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Junbin Gao, Yanfeng Sun, Yongli Hu, 2014, Sensors.

Low-Rank Representation over the Manifold of Curves pdf

Zhengwu Zhang, Junbin Gao, Stephen Tierney, 2016, ArXiv.

Tensor Regression Based on Linked Multiway Parameter Analysis

Junbin Gao, Xia Hong, David Tien, 2014, 2014 IEEE International Conference on Data Mining.

Learning Out-Of Sample Mapping in Non-Vectorial Data Reduction using Constrained Twin Kernel Embedding

Junbin Gao, Yi Guo, P.W. Kwan, 2007, 2007 International Conference on Machine Learning and Cybernetics.

Subspace Clustering via Learning an Adaptive Low-Rank Graph

Junbin Gao, Zongze Wu, Shengli Xie, 2018, IEEE Transactions on Image Processing.

SPAARC: A Fast Decision Tree Algorithm

Junbin Gao, Md Zahidul Islam, Darren Yates, 2018, AusDM.

Security and Privacy Protection for eHealth Data

Junbin Gao, Sharmin Jahan, Rafiqul Islam, 2018, FNSS.

Manifolds of Bag of Pixels: A Better Representation for Image Recognition

Junbin Gao, Yi Guo, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

Solving Partial Least Squares Regression via Manifold Optimization Approaches

Junbin Gao, Yanfeng Sun, Yongli Hu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis pdf

Junbin Gao, Mingyuan Bai, Boyan Zhang, 2017, ArXiv.

An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm

Junbin Gao, Hao Chen, Josiah Poon, 2014, BMC Bioinformatics.

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes

Junbin Gao, Mohammad A. U. Khan, Donald G. Bailey, 2016, 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ).

Boosting sensitivity of a retinal vessel segmentation algorithm

Junbin Gao, Mohammad A. U. Khan, Tariq Mahmood Khan, 2017, Pattern Analysis and Applications.

A new algorithm for removing node overlapping in graph visualization

Junbin Gao, Xiaodi Huang, Wei Lai, 2007, Inf. Sci..

The Kernelized Geometrical Bisection Methods

Junbin Gao, Jun Zhang, Shujuan Cao, 2007, ISNN.

Non-Invasive Contrast Normalisation and Denosing Technique for the Retinal Fundus Image

Junbin Gao, Toufique Ahmed Soomro, 2016 .

An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold

Wenbing Tao, Junbin Gao, Tianjiang Wang, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Matrix Variate Restricted Boltzmann Machine

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Image Segmentation Using Dictionary Learning and Compressed Random Features

Junbin Gao, Geoff Bull, Michael Antolovich, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data

Junbin Gao, Yi Guo, Paul Wing Hing Kwan, 2007, Australian Conference on Artificial Intelligence.

Dimensionality Reduction for Classification through Visualisation Using L1SNE

Junbin Gao, Lennon V. Cook, 2010, Australasian Conference on Artificial Intelligence.

Locally adaptive sparse representation on Riemannian manifolds for robust classification

Daming Shi, Junbin Gao, Zongze Wu, 2018, Neurocomputing.

Fingerprint Matching using Enhanced Shape Context

Junbin Gao, Yi Guo, Paul W. H. Kwan, 2006 .

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction

Dongmei Zhang, Junbin Gao, Xin Song, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems

Sheng Chen, Junbin Gao, Xia Hong, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Robust latent low rank representation for subspace clustering

Junbin Gao, Chao Zhang, Zhouchen Lin, 2014, Neurocomputing.

AC2 finite element and interpolation

Junbin Gao, Junbin Gao, 1993, Computing.

Progressive Hard-Mining Network for Monocular Depth Estimation

Jian Yang, Zhen Cui, Junbin Gao, 2018, IEEE Transactions on Image Processing.

Adaptive linear finite-element method for modelling nonlinear dynamic systems

Junbin Gao, Christopher J. Harris, 2000, Int. J. Syst. Sci..

UP-CNN: Un-pooling augmented convolutional neural network

Jian Yang, LinLin Shen, Hanjiang Lai, 2017, Pattern Recognit. Lett..

Fuzzy logic based filtering for image de-noising

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Collaborative Low-Rank Subspace Clustering pdf

Junbin Gao, Stephen Tierney, Yi Guo, 2017, ArXiv.

A Framework of Mixed Sparse Representations for Remote Sensing Images

Feng Li, Junbin Gao, Xiuping Jia, 2017, IEEE Transactions on Geoscience and Remote Sensing.

SPATIAL SUBSPACE CLUSTERING FOR HYPERSPECTRAL DATA SEGMENTATION

Junbin Gao, Feng Li, Yi Guo, 2013 .

Particle swarm optimisation assisted classification using elastic net prefiltering

Sheng Chen, Junbin Gao, Xia Hong, 2013, Neurocomputing.

Retinal blood vessel extraction method based on basic filtering schemes

Manoranjan Paul, Junbin Gao, Lihong Zheng, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification

Lin Wu, Yang Wang, Junbin Gao, 2018, IEEE Transactions on Multimedia.

Mean field method for the support vector machine regression

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2003, Neurocomputing.

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization

Lin Wu, Yang Wang, Junbin Gao, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Low-rank structure preserving for unsupervised feature selection

Jian Yang, Junbin Gao, Wei Zheng, 2018, Neurocomputing.

Ordered Subspace Clustering With Block-Diagonal Priors

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, IEEE Transactions on Cybernetics.

Multi-Dimensional Sparse Models

Xiaoyan Sun, Junbin Gao, Baocai Yin, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA

Junbin Gao, Yanfeng Sun, Yongli Hu, 2015, IEEE Transactions on Image Processing.

Product Grassmann Manifold Representation and Its LRR Models

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, AAAI.

Block-Diagonal Sparse Representation by Learning a Linear Combination Dictionary for Recognition pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ArXiv.

Delineation of rock fragments by classification of image patches using compressed random features

Junbin Gao, Geoff Bull, Michael Antolovich, 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Relevance units machine based dimensional and continuous speech emotion prediction

Dongmei Jiang, Hichem Sahli, Junbin Gao, 2014, Multimedia Tools and Applications.

Blocky artifact removal with low-rank matrix recovery

Junbin Gao, Yanfeng Sun, Ming Yin, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation

Junbin Gao, Zhaoshui He, Kan Xie, 2017, ICONIP.

Modulus Methods for Nonnegatively Constrained Image Restoration

Junbin Gao, Fujiao Ju, Jun-Liang Dong, 2016, SIAM J. Imaging Sci..

A parallel model of independent component analysis constrained by a 5-parameter reference curve and its solution by multi-target particle swarm optimization

Hao Chen, Junbin Gao, Josiah Poon, 2014 .

Fundamentals of Wavelet Transform

Junbin Gao, Yi-Zeng Liang, Foo-Tim Chau, 2004 .

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2015, ArXiv.

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization

Junbin Gao, Josiah Poon, Simon K. Poon, 2014, Appl. Comput. Intell. Soft Comput..

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints

Junbin Gao, Yi Guo, Paul Wing Hing Kwan, 2007, ADMA.

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras

Junbin Gao, Richard Y. D. Xu, Michael Antolovich, 2008, 2008 IEEE International Conference on Multimedia and Expo.

Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem pdf

Junbin Gao, Yanfei Zhang, Junbin Gao, 2017, ICONIP.

Low Rank Representation on SPD matrices with Log-Euclidean metric

Junbin Gao, Yanfeng Sun, Yongli Hu, 2018, Pattern Recognit..

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ArXiv.

Twin Kernel Embedding with Back Constraints

Junbin Gao, Paul Wing Hing Kwan, Yi Guo, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Adapting Kernels by Variational Approach in SVM

Junbin Gao, Steve R. Gunn, Jaz S. Kandola, 2002, Australian Joint Conference on Artificial Intelligence.

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery

Junbin Gao, Junjun Jiang, Xin Song, 2018, Remote. Sens..

Relations Among Some Low-Rank Subspace Recovery Models

Junbin Gao, Chao Zhang, Zhouchen Lin, 2014, Neural Computation.

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

Junbin Gao, Yanfeng Sun, Baocai Yin, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Contrast normalization steps for increased sensitivity of a retinal image segmentation method

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2017, Signal Image Video Process..

Distance Measurement of Objects using Stereo Vision

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, SETN.

Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones

Junbin Gao, Md Zahidul Islam, Darren Yates, 2018, AusDM.

Cluster Developing 1-Bit Matrix Completion

Junbin Gao, Chengkun Zhang, Stephen Lu, 2019, 2020 International Joint Conference on Neural Networks (IJCNN).

An efficient algorithm for stereo correspondence matching

Junbin Gao, Rafiqul Islam, Chowdhury Mozammel Mozammel, 2017 .

Endmember Extraction by Exemplar Finder

Junbin Gao, Yanfeng Sun, Yi Guo, 2013, ADMA.

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey

Manoranjan Paul, Junbin Gao, Mohammad A. U. Khan, 2017, Pattern Analysis and Applications.

Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions

Junbin Gao, Muhammad Ali, Michael Antolovich, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Manifold Optimization-Assisted Gaussian Variational Approximation pdf

Junbin Gao, Richard Gerlach, Minh-Ngoc Tran, 2019, J. Comput. Graph. Stat..

Automated Diagnostic System for Laryngeal Hemiplegia Using Endoscopic Image

Junbin Gao, Lihong Zheng, Md. Musfequs Salehin, 2013, SiPS 2013.

Analysis of herbal formulation in TCM: Infertility as a case study

Junbin Gao, Xuezhong Zhou, Josiah Poon, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Selective Multi-Source Total Variation Image Restoration

Junbin Gao, Stephen Tierney, Yi Guo, 2015, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

sparse graph LRR release

Junbin Gao, Zhouchen Lin, Ming Yin, 2015 .

UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection

Daming Shi, Junbin Gao, Tony Clark, 2013, IEEE Transactions on Image Processing.

Deep adaptive feature embedding with local sample distributions for person re-identification

Lin Wu, Yang Wang, Junbin Gao, 2017, Pattern Recognit..

On Selecting Effective Patterns for Fast Support Vector Regression Training

Jian Yang, Junbin Gao, Dacheng Tao, 2018, IEEE Transactions on Neural Networks and Learning Systems.

A novel approach in discovering significant interactions from TCM patient prescription data

Junbin Gao, Baoyan Liu, Xuezhong Zhou, 2011, Int. J. Data Min. Bioinform..

Active Class Discovery by Querying Pairwise Label Homogeneity

Junbin Gao, Xingquan Zhu, Yifan Fu, 2015, ICDS.

Neural network based denoised methods for retinal fundus images and MRI brain images

Junbin Gao, Toufique Ahmed Soomro, Junbin Gao, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Sparse kernel learning with LASSO and Bayesian inference algorithm

Daming Shi, Junbin Gao, Paul Wing Hing Kwan, 2010, Neural Networks.

Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data

Junbin Gao, Muhammad Ali, Junbin Gao, 2018, Neurocomputing.

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering

Junbin Gao, Hong Li, Qiong Wang, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces

Junbin Gao, Steve R. Gunn, Christopher J. Harris, 2001, Neural Computation.

Mixture of the Robust L1 Distributions and Its Applications

Junbin Gao, Richard Y. Xu, Junbin Gao, 2007, Australian Conference on Artificial Intelligence.

Studying herb-herb interaction for insomnia through the theory of complementarities

Junbin Gao, Dawei Yin, Xuezhong Zhou, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Kernel method in pattern recognition and classification

Junbin Gao, 2001, International Symposium on Multispectral Image Processing and Pattern Recognition.

Local Feature Based Tensor Kernel for Image Manifold Learning

Junbin Gao, Yi Guo, Junbin Gao, 2011, PAKDD.

Image Matting for Sparse User Input by Iterative Refinement

Junbin Gao, Geoff Bull, Stephen Tierney, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

LLE Algorithm in Natural Image Matting

Junbin Gao, David Tien, James Tulip, 2011 .

Transposed Low Rank Representation for Image Classification

Junbin Gao, Geoff Bull, 2012, 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA).

Robust human detection and localization in security applications

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2017, Concurr. Comput. Pract. Exp..

Manifold optimization for nonnegative coefficient logistic regression

Junbin Gao, Xia Hong, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Low-rank Multi-view Clustering in Third-Order Tensor Space pdf

Junbin Gao, Shengli Xie, Ming Yin, 2016, ArXiv.

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization

Sheng Chen, Junbin Gao, Xia Hong, 2015, IEEE Transactions on Cybernetics.

Sparse Kernel Learning and the Relevance Units Machine

Jun Zhang, Junbin Gao, Junbin Gao, 2009, PAKDD.

Dimensionality reduction via compressive sensing

Junbin Gao, Qinfeng Shi, Tibério S. Caetano, 2012, Pattern Recognit. Lett..

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model

Junbin Gao, Yong Yang, Tianjiang Wang, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Affinity Pansharpening and Image Fusion

Junbin Gao, Stephen Tierney, Yi Guo, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Multi-loss Regularized Deep Neural Network

Shuicheng Yan, Junbin Gao, Wei Zheng, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

Fingerprint Matching using A Hybrid Shape and Orientation Descriptor

Junbin Gao, Paul Kwan, Joshua Abraham, 2011 .

A Submodule Clustering Method for Multi-way Data by Sparse and Low-Rank Representation pdf

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, ArXiv.

Sparse density estimation on multinomial manifold combining local component analysis

Junbin Gao, Xia Hong, X. Hong, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Termination Criteria for Evolutionary Algorithms

Junbin Gao, Adrian O'Connor, John Louis, 2009, GEM.

Classification of Hand-Written Digits Using Chordiograms

Junbin Gao, Geoff Bull, Junbin Gao, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Learning Gradients with Gaussian Processes

Junbin Gao, Xinwei Jiang, Tianjiang Wang, 2010, PAKDD.

Multi-view video compression using dynamic background frame and 3D motion estimation

Manoranjan Paul, Junbin Gao, Terry Bossomaier, 2012, 2012 15th International Conference on Computer and Information Technology (ICCIT).

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds

Junbin Gao, Yanfeng Sun, Yongli Hu, 2018, IJCAI.

Random spatial subspace clustering

Feng Li, Junbin Gao, Yi Guo, 2015, Knowl. Based Syst..

A Multi-step Strategy for Shape Similarity Search in Kamon Image Database

Keisuke Kameyama, Junbin Gao, Nobuyuki Otsu, 2005 .

Matrix Neural Networks pdf

Junbin Gao, Zhiyong Wang, Yi Guo, 2016, ISNN.

Fuzzy c-means clustering with a new regularization term for image segmentation

Junbin Gao, Yong Yang, Tianjiang Wang, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices pdf

Junbin Gao, Shengli Xie, Ming Yin, 2016, ArXiv.

Simulation of house prices for improved land valuation

Junbin Gao, Terry Bossomaier, Zahidul Islam, 2012, ANSS 2012.

Some remarks on Kalman filters for the multisensor fusion

Junbin Gao, Christopher J. Harris, C. Harris, 2002, Inf. Fusion.

Multi-task beta process sparse kernel machines

Junbin Gao, 2011, The 2011 International Joint Conference on Neural Networks.

Transfer dimensionality reduction by Gaussian process in parallel

Junbin Gao, Thach Huy Nguyen, Hao Shao, 2013, Knowledge and Information Systems.

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization

Dong Xu, Junbin Gao, Mingkui Tan, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Nonparametric tensor dictionary learning with beta process priors

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, Neurocomputing.

On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning

Daming Shi, Junbin Gao, Dansong Cheng, 2013, Neural Networks.

Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering pdf

Junbin Gao, Stephen Tierney, Yi Guo, 2017, ArXiv.

Learning framework for examiner-centric fingerprint classification using spectral features

Junbin Gao, Paul Kwan, Yi Guo, 2007, International Symposium on Multispectral Image Processing and Pattern Recognition.

L1 LASSO Modeling and Its Bayesian Inference

Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan, 2008, Australasian Conference on Artificial Intelligence.

Application of the Fast Wavelet Transform Method to Compress Ultraviolet-Visible Spectra

Junbin Gao, Foo-Tim Chau, C. K. Chan, 1996 .

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss

Manoranjan Paul, Junbin Gao, Olaf Hellwich, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

Locality Preserving Projection Based on F-norm

Junbin Gao, Yanfeng Sun, Yongli Hu, 2018, AAAI.

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data

Junbin Gao, Yanfeng Sun, Yongli Hu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Localized LRR on Grassmann Manifold: An Extrinsic View

Junbin Gao, Yanfeng Sun, Yongli Hu, 2018, IEEE Transactions on Circuits and Systems for Video Technology.

Relevance Units Latent Variable Model and Nonlinear Dimensionality Reduction

Jun Zhang, Junbin Gao, David Tien, 2010, IEEE Transactions on Neural Networks.

Efficient character segmentation on car license plates

Xiangjian He, Junbin Gao, Lihong Zheng, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Twin Kernel Embedding

Junbin Gao, Paul Wing Hing Kwan, Yi Guo, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Blind image deblurring via coupled sparse representation

Junbin Gao, Ming Yin, David Tien, 2014, J. Vis. Commun. Image Represent..

Fragment size detection within homogeneous material using Ground Penetrating Radar

Junbin Gao, Michael Antolovich, Allen Benter, 2009, 2009 International Radar Conference "Surveillance for a Safer World" (RADAR 2009).

One‐Dimensional Signal Processing Techniques in Chemistry

Junbin Gao, Yi-Zeng Liang, Foo-Tim Chau, 2004 .

The W-Penalty and Its Application to Alpha Matting with Sparse Labels

Junbin Gao, Stephen Tierney, Yi Guo, 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Thin Plate Spline Latent Variable Models for dimensionality reduction

Daming Shi, Junbin Gao, Xinwei Jiang, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Large scale hyperspectral data segmentation by random spatial subspace clustering

Feng Li, Junbin Gao, Yi Guo, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Critical vector learning to construct RBF classifiers

Daming Shi, Junbin Gao, Daniel S. Yeung, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition

Junbin Gao, Qiuxia Wu, Wenxiong Kang, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

Laplacian Regularized Low-Rank Representation and Its Applications

Junbin Gao, Ming Yin, Zhouchen Lin, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Gaussian Processes Autoencoder for Dimensionality Reduction

Junbin Gao, Xia Hong, Zhihua Cai, 2014, PAKDD.

Optimizing the moving average

Junbin Gao, Lihong Zheng, Adrian Letchford, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient pdf

Dong Xu, Junbin Gao, Mingkui Tan, 2015, 1503.02828.

A Probabilistic Framework for SVM Regression and Error Bar Estimation

Junbin Gao, Martin Brown, Steve R. Gunn, 2002, Machine Learning.

Multiview Subspace Clustering via Tensorial t-Product Representation

Junbin Gao, Shengli Xie, Yi Guo, 2019, IEEE Transactions on Neural Networks and Learning Systems.

L1-2DPCA Revisit via Optimization on Product Manifolds

Junbin Gao, Yanfeng Sun, Yongli Hu, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Coupled-learning convolutional neural networks for object recognition

Jian Yang, Junbin Gao, Chunyan Xu, 2017, Multimedia Tools and Applications.

Comprehensive Analysis for the Local Fisher Discriminant Analysis

Junbin Gao, Xiaodi Huang, Paul Wing Hing Kwan, 2009, Int. J. Pattern Recognit. Artif. Intell..

A new super resolution method based on combined sparse representations for remote sensing imagery

Junbin Gao, Feng Li, Yi Guo, 2013, Remote Sensing.

A global-local affinity matrix model via EigenGap for graph-based subspace clustering

Jun Wang, Daming Shi, Junbin Gao, 2017, Pattern Recognit. Lett..

Branched Convolutional Neural Networks for Face Alignment

Daming Shi, Junbin Gao, Meilu Zhu, 2018, PCM.

Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization

Junbin Gao, Josiah Poon, Simon K. Poon, 2014, 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Image Spam Classification Using Neural Network

Junbin Gao, Mozammel Chowdhury, Morshed Chowdhury, 2015, SecureComm.

Malware Detection for Healthcare Data Security

Junbin Gao, Sharmin Jahan, Rafiqul Islam, 2018, SecureComm.

l1-norm penalised orthogonal forward regression

Sheng Chen, Junbin Gao, Xia Hong, 2015, Int. J. Syst. Sci..

A Discriminant Analysis for Undersampled Data

Junbin Gao, Philip Charlton, Matthew Robards, 2007, AIDM.

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance

Junbin Gao, Yanfeng Sun, Yongli Hu, 2016, IEEE Transactions on Circuits and Systems for Video Technology.

A Fast Algorithm to Estimate the Square Root of Probability Density Function

Junbin Gao, Xia Hong, X. Hong, 2016, SGAI Conf..

Tensor LRR and Sparse Coding-Based Subspace Clustering

Junbin Gao, Xia Hong, David Tien, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Biometric Authentication Using Facial Recognition

Junbin Gao, Rafiqul Islam, Mozammel Chowdhury, 2016, SecureComm.

Constrained Grouped Sparsity

Junbin Gao, Xia Hong, Yi Guo, 2012, Australasian Conference on Artificial Intelligence.

Low Rank Representation on Riemannian Manifold of Square Root Densities pdf

Junbin Gao, Xia Hong, David Tien, 2015, ArXiv.

Group subset selection for linear regression

Junbin Gao, Mark Berman, Yi Guo, 2014, Comput. Stat. Data Anal..

Low-Rank-Sparse Subspace Representation for Robust Regression

Daming Shi, Junbin Gao, Dansong Cheng, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Image Matting via Local Tangent Space Alignment

Junbin Gao, Junbin Gao, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification pdf

Lin Wu, Yang Wang, Junbin Gao, 2017, Pattern Recognit..

A review on applications of wavelet transform techniques in chemical analysis: 1989–1997

Junbin Gao, Foo-Tim Chau, Alexander Kai-man Leung, 1998 .

Compression of Infrared Spectral Data Using the Fast Wavelet Transform Method

Junbin Gao, Foo-Tim Chau, J. Wang, 1997 .

Twin Kernel Embedding with Back Constraints

Junbin Gao, Paul Kwan, Yi Guo, 2007 .

Visualization of Protein Structure Relationships Using Twin Kernel Embedding

Junbin Gao, Yi Guo, Junbin Gao, 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

Chemometrics: From Basics to Wavelet Transform

Junbin Gao, Yi-Zeng Liang, Yizeng Liang, 2004 .

Image Matting via LLE/iLLE Manifold Learning

Junbin Gao, David Tien, James Tulip, 2013 .