A C 2 finite element and interpolation. - Junbin Gao (Computing, 1993)

Adaptive linear finite-element method for modelling nonlinear dynamic systems. - Chris J. Harris; Junbin Gao (Int. J. Syst. Sci., 2000)

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. - Junbin Gao; Chris J. Harris; Steve R. Gunn (Neural Comput., 2001)

Adapting Kernels by Variational Approach in SVM. - Junbin Gao; Steve R. Gunn; Jaz S. Kandola (Australian Joint Conference on Artificial Intelligence, 2002)

Some remarks on Kalman filters for the multisensor fusion. - Junbin Gao; Chris J. Harris (Inf. Fusion, 2002)

A Probabilistic Framework for SVM Regression and Error Bar Estimation. - Junbin Gao; Steve R. Gunn; Chris J. Harris; Martin Brown 001 (Mach. Learn., 2002)

Mean field method for the support vector machine regression. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

SVM regression through variational methods and its sequential implementation. - Junbin Gao; Steve R. Gunn; Chris J. Harris (Neurocomputing, 2003)

Radial Basis Function Network Pruning by Sensitivity Analysis. - Daming Shi 001; Junbin Gao; Daniel S. Yeung; Fei Chen (Canadian AI, 2004)

Critical Vector Learning to Construct RBF Classifiers. - Daming Shi 001; Geok See Ng; Junbin Gao; Daniel S. Yeung (ICPR (3), 2004)

On the construction of support wavelet network. - Junbin Gao; Fei Chen; Daming Shi 001 (SMC (4), 2004)

E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector. - Kishor Vaidya; A. S. M. Sajeev; Junbin Gao (ICEC, 2005)

Sensitivity analysis applied to the construction of radial basis function networks. - Daming Shi 001; Daniel S. Yeung; Junbin Gao (Neural Networks, 2005)

A multi-step strategy for approximate similarity search in image databases. - Paul Wing Hing Kwan; Junbin Gao (ADC, 2006)

Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. - Yi Guo 001; Junbin Gao; Paul Wing Hing Kwan (Australian Conference on Artificial Intelligence, 2006)

Manifolds of Bag of Pixels: A Better Representation for Image Recognition. - Yi Guo 001; Junbin Gao (SMC, 2006)

The construction of wavelet network for speech signal processing. - Daming Shi 001; Fei Chen; Geok See Ng; Junbin Gao (Neural Comput. Appl., 2006)

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. - Yi Guo 001; Paul Wing Hing Kwan; Junbin Gao (ADMA, 2007)

Mixture of the Robust L1 Distributions and Its Applications. - Junbin Gao; Richard Y. D. Xu (Australian Conference on Artificial Intelligence, 2007)

Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. - Yi Guo 001; Junbin Gao; Paul Wing Hing Kwan (Australian Conference on Artificial Intelligence, 2007)

A Discriminant Analysis for Undersampled Data. - Matthew Robards; Junbin Gao; Philip Charlton (AIDM, 2007)

Twin Kernel Embedding with Back Constraints. - Yi Guo 001; Paul Wing Hing Kwan; Junbin Gao (ICDM Workshops, 2007)

The Kernelized Geometrical Bisection Methods. - Xiaomao Liu; Shujuan Cao; Junbin Gao; Jun Zhang 062 (ISNN (2), 2007)

Simulated maximum likelihood method for estimating kinetic rates in gene expression. - Tianhai Tian; Songlin Xu; Junbin Gao; Kevin Burrage (Bioinform., 2007)

A new algorithm for removing node overlapping in graph visualization. - Xiaodi Huang; Wei Lai; A. S. M. Sajeev; Junbin Gao (Inf. Sci., 2007)

Significant vector learning to construct sparse kernel regression models. - Junbin Gao; Daming Shi 001; Xiaomao Liu (Neural Networks, 2007)

L1 LASSO Modeling and Its Bayesian Inference. - Junbin Gao; Michael Antolovich; Paul Wing Hing Kwan (Australasian Conference on Artificial Intelligence, 2008)

Using a Stochastic Funnel to find NLR Starting Values. - Adrian O'Connor; Junbin Gao; John Louis (GEM, 2008)

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. - Richard Yi Da Xu; Junbin Gao; Michael Antolovich (ICME, 2008)

Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. - Junbin Gao (Neural Comput., 2008)

Twin Kernel Embedding. - Yi Guo 001; Junbin Gao; Paul Wing Hing Kwan (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. - Yi Guo 001; Junbin Gao; Paul Wing Hing Kwan (Australasian Conference on Artificial Intelligence, 2009)

Termination Criteria for Evolutionary Algorithms. - Adrian O'Connor; Junbin Gao; John Louis (GEM, 2009)

Initiation of Evolutionary Algorithms. - Adrian O'Connor; Junbin Gao; John Louis (GEM, 2009)

A User-Centered Framework for Adaptive Fingerprint Identification. - Paul Wing Hing Kwan; Junbin Gao; Graham Leedham (PAISI, 2009)

Sparse Kernel Learning and the Relevance Units Machine. - Junbin Gao; Jun Zhang 062 (PAKDD, 2009)

Robust multivariate L1 principal component analysis and dimensionality reduction. - Junbin Gao; Paul Wing Hing Kwan; Yi Guo 001 (Neurocomputing, 2009)

Comprehensive Analysis for the Local Fisher Discriminant Analysis. - Junbin Gao; Paul Wing Hing Kwan; Xiaodi Huang (Int. J. Pattern Recognit. Artif. Intell., 2009)

Dimensionality Reduction for Classification through Visualisation Using L1SNE. - Lennon V. Cook; Junbin Gao (Australasian Conference on Artificial Intelligence, 2010)

Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia. - Martin McGrane; Simon K. Poon; Josiah Poon; Kelvin Chan; Clement Loy; Xuezhong Zhou; Runshun Zhang; Baoyan Liu; Paul Kwan; Daniel Man-yuen Sze; Junbin Gao (BIBM Workshops, 2010)

Studying herb-herb interaction for insomnia through the theory of complementarities. - Josiah Poon; Simon K. Poon; Dawei Yin; Kelvin Chan; Clement Loy; Xuezhong Zhou; Runshun Zhang; Baoyan Liu; Paul Kwan; Daniel Man-yuen Sze; Junbin Gao (BIBM Workshops, 2010)

Efficient character segmentation on car license plates. - Lihong Zheng; Junbin Gao; Xiangjian He (ICARCV, 2010)

Learning Gradients with Gaussian Processes. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Paul Wing Hing Kwan (PAKDD (2), 2010)

A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. - Paul Wing Hing Kwan; Junbin Gao; Yi Guo 001; Keisuke Kameyama (Int. J. Pattern Recognit. Artif. Intell., 2010)

Sparse kernel learning with LASSO and Bayesian inference algorithm. - Junbin Gao; Paul Wing Hing Kwan; Daming Shi 001 (Neural Networks, 2010)

Relevance units latent variable model and nonlinear dimensionality reduction. - Junbin Gao; Jun Zhang 062; David Tien (IEEE Trans. Neural Networks, 2010)

Penalized Least Squares for Smoothing Financial Time Series. - Adrian Letchford; Junbin Gao; Lihong Zheng (Australasian Conference on Artificial Intelligence, 2011)

Analysis of herbal formulation in TCM: Infertility as a case study. - Simon K. Poon; Kei Fan; Josiah Poon; Clement Loy; Kelvin Chan; Paul Wing Hing Kwan; Xuezhong Zhou; Junbin Gao; Runsun Zhang; Yinghui Runshun; Daniel Man-yuen Sze (BIBM Workshops, 2011)

Classification of Hand-Written Digits Using Chordiograms. - Geoff Bull; Junbin Gao (DICTA, 2011)

Image Matting via Local Tangent Space Alignment. - Junbin Gao (DICTA, 2011)

Multi-task beta process sparse kernel machines. - Junbin Gao (IJCNN, 2011)

Local Feature Based Tensor Kernel for Image Manifold Learning. - Yi Guo 001; Junbin Gao (PAKDD (2), 2011)

Application of Learning from Demonstration to a Mining Tunnel Inspection Robot. - Fenglu Ge; Wayne Moore; Michael Antolovich; Junbin Gao (RVSP, 2011)

Gaussian Process for Dimensionality Reduction in Transfer Learning. - Bin Tong; Junbin Gao; Thach Huy Nguyen; Einoshin Suzuki (SDM, 2011)

A novel approach in discovering significant interactions from TCM patient prescription data. - Simon K. Poon; Josiah Poon; Martin McGrane; Xuezhong Zhou; Paul Wing Hing Kwan; Runsun Zhang; Baoyan Liu; Junbin Gao; Clement Loy; Kelvin Chan; Daniel Man-yuen Sze (Int. J. Data Min. Bioinform., 2011)

Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. - Paul Wing Hing Kwan; Keisuke Kameyama; Junbin Gao; Kazuo Toraichi (Int. J. Pattern Recognit. Artif. Intell., 2011)

Constrained Grouped Sparsity. - Yi Guo 001; Junbin Gao; Xia Hong 001 (Australasian Conference on Artificial Intelligence, 2012)

Transposed Low Rank Representation for Image Classification. - Geoff Bull; Junbin Gao (DICTA, 2012)

Natural Image Matting with Total Variation Regularisation. - Stephen Tierney; Junbin Gao (DICTA, 2012)

3D motion estimation for 3D video coding. - Manoranjan Paul; Junbin Gao; Michael Antolovich (ICASSP, 2012)

The Image Matting Method with Regularized Matte. - Junbin Gao; Manoranjan Paul; Jun Liu 003 (ICME, 2012)

Thin Plate Spline Latent Variable Models for dimensionality reduction. - Xinwei Jiang; Junbin Gao; Daming Shi 001; Tianjiang Wang (IJCNN, 2012)

Optimizing the moving average. - Adrian Letchford; Junbin Gao; Lihong Zheng (IJCNN, 2012)

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection. - Md. Geaur Rahman; Md Zahidul Islam 001; Terry Bossomaier; Junbin Gao (IJCNN, 2012)

Dimensionality reduction via compressive sensing. - Junbin Gao; Qinfeng Shi; Tibério S. Caetano (Pattern Recognit. Lett., 2012)

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Lihong Zheng (IEEE Trans. Syst. Man Cybern. Part B, 2012)

Endmember Extraction by Exemplar Finder. - Yi Guo 001; Junbin Gao; Yanfeng Sun (ADMA (2), 2013)

Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm. - Lizhi Cui; Josiah Poon; Simon K. Poon; Kei Fan; Hao Chen 008; Junbin Gao; Paul Wing Hing Kwan; Zhihao Ling (BIBM, 2013)

Image Matting for Sparse User Input by Iterative Refinement. - Stephen Tierney; Geoff Bull; Junbin Gao (DICTA, 2013)

Sparse model construction using coordinate descent optimization. - Xia Hong 001; Yi Guo 001; Sheng Chen 001; Junbin Gao (DSP, 2013)

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. - Junbin Gao; Yi Guo 001; Ming Yin 002 (ICIP, 2013)

Robust face recognition via double low-rank matrix recovery for feature extraction. - Ming Yin 002; Shuting Cai; Junbin Gao (ICIP, 2013)

Large scale hyperspectral data segmentation by random spatial subspace clustering. - Yi Guo 001; Junbin Gao; Feng Li 003 (IGARSS, 2013)

Dimensionality Reduction with Dimension Selection. - Yi Guo 001; Junbin Gao; Feng Li 003 (PAKDD (1), 2013)

Particle swarm optimisation assisted classification using elastic net prefiltering. - Xia Hong 001; Junbin Gao; Sheng Chen 001; Chris J. Harris (Neurocomputing, 2013)

Filtering financial time series by least squares. - Adrian Letchford; Junbin Gao; Lihong Zheng (Int. J. Mach. Learn. Cybern., 2013)

On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. - Dansong Cheng; Minh Nhut Nguyen; Junbin Gao; Daming Shi 001 (Neural Networks, 2013)

UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. - Daming Shi 001; Junbin Gao; Payam S. Rahmdel; Michael Antolovich; Tony Clark 001 (IEEE Trans. Image Process., 2013)

Low Rank Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACCV (1), 2014)

Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization. - Lizhi Cui; Josiah Poon; Simon K. Poon; Paul Wing Hing Kwan; Junbin Gao; Zhihao Ling (BIBM, 2014)

Subspace Clustering for Sequential Data. - Stephen Tierney; Junbin Gao; Yi Guo 001 (CVPR, 2014)

Image Segmentation Using Dictionary Learning and Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (DICTA, 2014)

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. - Guangpu Shao; Junbin Gao; Tianjiang Wang; Fang Liu 011; Yucheng Shu; Yong Yang (DICTA, 2014)

The W-Penalty and Its Application to Alpha Matting with Sparse Labels. - Stephen Tierney; Junbin Gao; Yi Guo 001 (DICTA, 2014)

Affinity Pansharpening and Image Fusion. - Stephen Tierney; Junbin Gao; Yi Guo 001 (DICTA, 2014)

Blocky artifact removal with low-rank matrix recovery. - Ming Yin 002; Junbin Gao; Yanfeng Sun; Shuting Cai (ICASSP, 2014)

Tensor Regression Based on Linked Multiway Parameter Analysis. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (ICDM, 2014)

Smoothing Security Prices. - Adrian Letchford; Junbin Gao; Lihong Zheng (ICPR, 2014)

Joint multiple dictionary learning for Tensor sparse coding. - Yifan Fu; Junbin Gao; Yanfeng Sun; Xia Hong 001 (IJCNN, 2014)

Tensor LRR based subspace clustering. - Yifan Fu; Junbin Gao; David Tien; Zhouchen Lin (IJCNN, 2014)

Fuzzy c-means clustering with a new regularization term for image segmentation. - Guangpu Shao; Junbin Gao; Tianjiang Wang; Fang Liu 011; Yucheng Shu; Yong Yang (IJCNN, 2014)

Dimensionality reduction assisted tensor clustering. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Yi Guo 001; Chris J. Harris (IJCNN, 2014)

Linear Subspace Learning via sparse dimension reduction. - Ming Yin 002; Yi Guo 001; Junbin Gao (IJCNN, 2014)

Gaussian Processes Autoencoder for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xia Hong 001; Zhihua Cai (PAKDD (2), 2014)

Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (VISAPP (1), 2014)

Rock Fragment Boundary Detection Using Compressed Random Features. - Geoff Bull; Junbin Gao; Michael Antolovich (VISIGRAPP (Selected Papers), 2014)

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization. - Lizhi Cui; Zhihao Ling; Josiah Poon; Simon K. Poon; Junbin Gao; Paul Wing Hing Kwan (Appl. Comput. Intell. Soft Comput., 2014)

An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm. - Lizhi Cui; Josiah Poon; Simon K. Poon; Hao Chen 008; Junbin Gao; Paul Wing Hing Kwan; Kei Fan; Zhihao Ling (BMC Bioinform., 2014)

Group subset selection for linear regression. - Yi Guo 001; Mark Berman 002; Junbin Gao (Comput. Stat. Data Anal., 2014)

Fast identification algorithms for Gaussian process model. - Xia Hong 001; Junbin Gao; Xinwei Jiang; Chris J. Harris (Neurocomputing, 2014)

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. - Risheng Liu; Zhouchen Lin; Zhixun Su; Junbin Gao (Neurocomputing, 2014)

Robust latent low rank representation for subspace clustering. - Hongyang Zhang 001; Zhouchen Lin; Chao Zhang 001; Junbin Gao (Neurocomputing, 2014)

Blind image deblurring via coupled sparse representation. - Ming Yin 002; Junbin Gao; David Tien; Shuting Cai (J. Vis. Commun. Image Represent., 2014)

Transfer dimensionality reduction by Gaussian process in parallel. - Bin Tong; Junbin Gao; Thach Huy Nguyen; Hao Shao; Einoshin Suzuki (Knowl. Inf. Syst., 2014)

Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. - Xinglin Piao; Yongli Hu; Yanfeng Sun; Baocai Yin; Junbin Gao (Sensors, 2014)

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. - Xinwei Jiang; Junbin Gao; Tianjiang Wang; Daming Shi 001 (IEEE Trans. Cybern., 2014)

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. - Sheng Chen 001; Xia Hong 001; Junbin Gao; Chris J. Harris (IEEE Trans. Neural Networks Learn. Syst., 2014)

An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. - Chunyan Xu; Tianjiang Wang; Junbin Gao; Shougang Cao; Wenbing Tao; Fang Liu 011 (IEEE Trans. Neural Networks Learn. Syst., 2014)

Learning graph structure for multi-label image classification via clique generation. - Mingkui Tan; Qinfeng Shi; Anton van den Hengel; Chunhua Shen; Junbin Gao; Fuyuan Hu; Zhen Zhang 008 (CVPR, 2015)

Selective Multi-Source Total Variation Image Restoration. - Stephen Tierney; Yi Guo 001; Junbin Gao (DICTA, 2015)

Active Class Discovery by Querying Pairwise Label Homogeneity. - Yifan Fu; Junbin Gao; Xingquan Zhu 001 (ICDS, 2015)

Study of the Noise Level in the Colour Fundus Images. - Toufique Ahmed Soomro; Junbin Gao (ICDS, 2015)

Low rank sequential subspace clustering. - Yi Guo 001; Junbin Gao; Feng Li 003; Stephen Tierney; Ming Yin 002 (IJCNN, 2015)

Sparse density estimation on multinomial manifold combining local component analysis. - Xia Hong 001; Junbin Gao (IJCNN, 2015)

Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (SDM, 2015)

Image Spam Classification Using Neural Network. - Mozammel Chowdhury; Junbin Gao; Morshed U. Chowdhury (SecureComm, 2015)

Human Surveillance System for Security Application. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (SecureComm, 2015)

Conics Detection Method based on Pascal's Theorem. - Md. Musfequs Salehin; Lihong Zheng; Junbin Gao (VISAPP (1), 2015)

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu (CoRR, 2015)

Low Rank Representation on Riemannian Manifold of Square Root Densities. - Yifan Fu; Junbin Gao; Xia Hong 001; David Tien (CoRR, 2015)

l1-norm Penalized Orthogonal Forward Regression. - Xia Hong 001; Sheng Chen 001; Yi Guo 001; Junbin Gao (CoRR, 2015)

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. - Mingkui Tan; Shijie Xiao; Junbin Gao; Dong Xu 001; Anton van den Hengel; Qinfeng Shi (CoRR, 2015)

Segmentation of Subspaces in Sequential Data. - Stephen Tierney; Yi Guo 001; Junbin Gao (CoRR, 2015)

Kernelized Low Rank Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2015)

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2015)

Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models. - Ming Yin 002; Junbin Gao; Daming Shi 001; Shuting Cai (Circuits Syst. Signal Process., 2015)

Image super-resolution via 2D tensor regression learning. - Ming Yin 002; Junbin Gao; Shuting Cai (Comput. Vis. Image Underst., 2015)

Random spatial subspace clustering. - Yi Guo 001; Junbin Gao; Feng Li 003 (Knowl. Based Syst., 2015)

Relevance units machine based dimensional and continuous speech emotion prediction. - Fengna Wang; Hichem Sahli; Junbin Gao; Dongmei Jiang; Werner Verhelst (Multim. Tools Appl., 2015)

Relations Among Some Low-Rank Subspace Recovery Models. - Hongyang Zhang 001; Zhouchen Lin; Chao Zhang 001; Junbin Gao (Neural Comput., 2015)

Facial Analysis With a Lie Group Kernel. - Chunyan Xu; Canyi Lu; Junbin Gao; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2015)

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. - Chunyan Xu; Canyi Lu; Junbin Gao; Wei Zheng; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2015)

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. - Xia Hong 001; Sheng Chen 001; Junbin Gao; Chris J. Harris (IEEE Trans. Cybern., 2015)

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Image Process., 2015)

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. - Ming Yin 002; Junbin Gao; Zhouchen Lin; Qinfeng Shi; Yi Guo 001 (IEEE Trans. Image Process., 2015)

Sparse Density Estimation on the Multinomial Manifold. - Xia Hong 001; Junbin Gao; Sheng Chen 001; Tanveer A. Zia (IEEE Trans. Neural Networks Learn. Syst., 2015)

Product Grassmann Manifold Representation and Its LRR Models. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (AAAI, 2016)

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu; Baocai Yin (CVPR, 2016)

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. - Mingkui Tan; Shijie Xiao; Junbin Gao; Dong Xu 001; Anton van den Hengel; Qinfeng Shi (CVPR, 2016)

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. - Ming Yin 002; Yi Guo 001; Junbin Gao; Zhaoshui He; Shengli Xie (CVPR, 2016)

MLE-Based Learning on Grassmann Manifolds. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (DICTA, 2016)

Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy. - Toufique Ahmed Soomro; Junbin Gao; Mohammad A. U. Khan; Tariq Mahmood Khan; Manoranjan Paul (DICTA, 2016)

Automatic Retinal Vessel Extraction Algorithm. - Toufique Ahmed Soomro; Mohammad A. U. Khan; Junbin Gao; Tariq Mahmood Khan; Manoranjan Paul; Nighat Mir (DICTA, 2016)

Fuzzy logic based filtering for image de-noising. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (FUZZ-IEEE, 2016)

Detection of Human Faces Using Neural Networks. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (ICONIP (2), 2016)

Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (IJCNN, 2016)

Manifold optimization for nonnegative coefficient logistic regression. - Xia Hong 001; Junbin Gao (IJCNN, 2016)

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. - Xinwei Jiang; Xin Song; Junbin Gao; Zhihua Cai; Dongmei Zhang 006 (IJCNN, 2016)

Matrix Variate Restricted Boltzmann Machine. - Guanglei Qi; Yanfeng Sun; Junbin Gao; Yongli Hu; Jinghua Li (IJCNN, 2016)

Neural network based denoised methods for retinal fundus images and MRI brain images. - Toufique Ahmed Soomro; Junbin Gao (IJCNN, 2016)

Fuzzy rule based approach for face and facial feature extraction in biometric authentication. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (IVCNZ, 2016)

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. - Mohammad A. U. Khan; Toufique Ahmed Soomro; Tariq Mahmood Khan; Donald G. Bailey; Junbin Gao; Nighat Mir (IVCNZ, 2016)

Biometric Authentication Using Facial Recognition. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (SecureComm, 2016)

Distance Measurement of Objects using Stereo Vision. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (SETN, 2016)

A Fast Algorithm to Estimate the Square Root of Probability Density Function. - Xia Hong 001; Junbin Gao (SGAI Conf., 2016)

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (CoRR, 2016)

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Simeng Liu; Yongli Hu (CoRR, 2016)

Matrix Variate RBM and Its Applications. - Guanglei Qi; Yanfeng Sun; Junbin Gao; Yongli Hu; Jinghua Li (CoRR, 2016)

Low-Rank Representation over the Manifold of Curves. - Stephen Tierney; Junbin Gao; Yi Guo 001; Zhengwu Zhang (CoRR, 2016)

Kernelized LRR on Grassmann Manifolds for Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2016)

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2016)

Low-rank Multi-view Clustering in Third-Order Tensor Space. - Ming Yin 002; Junbin Gao; Shengli Xie; Yi Guo 001 (CoRR, 2016)

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. - Ming Yin 002; Shengli Xie; Yi Guo 001; Junbin Gao; Yun Zhang 001 (CoRR, 2016)

Nonparametric tensor dictionary learning with beta process priors. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Neurocomputing, 2016)

LRSR: Low-Rank-Sparse representation for subspace clustering. - Jun Wang; Daming Shi 001; Dansong Cheng; Yongqiang Zhang 003; Junbin Gao (Neurocomputing, 2016)

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. - Yanfeng Sun; Junbin Gao; Xia Hong 001; Bamdev Mishra; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Laplacian Regularized Low-Rank Representation and Its Applications. - Ming Yin 002; Junbin Gao; Zhouchen Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Extended nearest neighbor chain induced instance-weights for SVMs. - Fa Zhu; Jian Yang 003; Junbin Gao; Chunyan Xu (Pattern Recognit., 2016)

Modulus Methods for Nonnegatively Constrained Image Restoration. - Jun-Liang Dong; Junbin Gao; Fujiao Ju; Jinghua Shen (SIAM J. Imaging Sci., 2016)

Multi-loss Regularized Deep Neural Network. - Chunyan Xu; Canyi Lu; Xiaodan Liang; Junbin Gao; Wei Zheng; Tianjiang Wang; Shuicheng Yan (IEEE Trans. Circuits Syst. Video Technol., 2016)

Ordered Subspace Clustering With Block-Diagonal Priors. - Fei Wu 020; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Cybern., 2016)

Tensor LRR and Sparse Coding-Based Subspace Clustering. - Yifan Fu; Junbin Gao; David Tien; Zhouchen Lin; Xia Hong 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. - Qiong Wang; Junbin Gao; Hong Li 009 (CVPR, 2017)

Low-Rank-Sparse Subspace Representation for Robust Regression. - Yongqiang Zhang 003; Daming Shi 001; Junbin Gao; Dansong Cheng (CVPR, 2017)

L1-2DPCA Revisit via Optimization on Product Manifolds. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Fujiao Ju (DICTA, 2017)

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network. - Toufique Ahmed Soomro; Ahmed J. Afifi; Junbin Gao; Olaf Hellwich; Mohammad A. U. Khan; Manoranjan Paul; Lihong Zheng (DICTA, 2017)

Retinal blood vessel extraction method based on basic filtering schemes. - Toufique Ahmed Soomro; Manoranjan Paul; Junbin Gao; Lihong Zheng (ICIP, 2017)

Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. - Mingyuan Bai; Boyan Zhang; Junbin Gao (ICONIP (2), 2017)

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich (ICONIP (1), 2017)

Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. - Yanfei Zhang; Junbin Gao (ICONIP (1), 2017)

Locality Preserving Projections for Grassmann manifold. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Haoran Chen; Muhammad Ali 005; Baocai Yin (IJCAI, 2017)

Matrix variate RBM model with Gaussian distributions. - Simeng Liu; Yanfeng Sun; Yongli Hu; Junbin Gao; Fujiao Ju; Baocai Yin (IJCNN, 2017)

Matrix Neural Networks. - Junbin Gao; Yi Guo 001; Zhiyong Wang 001 (ISNN (1), 2017)

Fast and Robust Biometric Authentication Scheme Using Human Ear. - Mozammel Chowdhury; Rafiqul Islam 002; Junbin Gao (ATCS/SePrIoT@SecureComm, 2017)

Robust human detection and localization in security applications. - Mozammel Chowdhury; Junbin Gao; Rafiqul Islam 002 (Concurr. Comput. Pract. Exp., 2017)

Collaborative Low-Rank Subspace Clustering. - Stephen Tierney; Yi Guo 001; Junbin Gao (CoRR, 2017)

Tractable Clustering of Data on the Curve Manifold. - Stephen Tierney; Junbin Gao; Yi Guo 001; Zheng Zhang (CoRR, 2017)

Locality Preserving Projections for Grassmann manifold. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Haoran Chen; Baocai Yin (CoRR, 2017)

Localized LRR on Grassmann Manifolds: An Extrinsic View. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2017)

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis. - Mingyuan Bai; Boyan Zhang; Junbin Gao (CoRR, 2017)

l1-norm penalised orthogonal forward regression. - Xia Hong 001; Sheng Chen 001; Yi Guo 001; Junbin Gao (Int. J. Syst. Sci., 2017)

Finding the samples near the decision plane for support vector learning. - Fa Zhu; Jian Yang 003; Junbin Gao; Chunyan Xu; Sheng Xu 003; Cong Gao 001 (Inf. Sci., 2017)

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. - Xinwei Jiang; Xiaoping Fang; Zhikun Chen; Junbin Gao; Junjun Jiang; Zhihua Cai (IEEE Geosci. Remote. Sens. Lett., 2017)

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey. - Toufique Ahmed Soomro; Junbin Gao; Tariq Mahmood Khan; Ahmad Fadzil M. Hani; Mohammad A. U. Khan; Manoranjan Paul (Pattern Anal. Appl., 2017)

A global-local affinity matrix model via EigenGap for graph-based subspace clustering. - Daming Shi 001; Jun Wang; Dansong Cheng; Junbin Gao (Pattern Recognit. Lett., 2017)

Contrast normalization steps for increased sensitivity of a retinal image segmentation method. - Toufique Ahmed Soomro; Mohammad A. U. Khan; Junbin Gao; Tariq Mahmood Khan; Manoranjan Paul (Signal Image Video Process., 2017)

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2017)

A Framework of Mixed Sparse Representations for Remote Sensing Images. - Feng Li 003; Lei Xin; Yi Guo 001; Junbin Gao; Xiuping Jia (IEEE Trans. Geosci. Remote. Sens., 2017)

Log-Euclidean Metrics for Contrast Preserving Decolorization. - Qiegen Liu; Guangpu Shao; Yuhao Wang 001; Junbin Gao; Henry Leung (IEEE Trans. Image Process., 2017)

Zero-Attracting Recursive Least Squares Algorithms. - Xia Hong 001; Junbin Gao; Sheng Chen 001 (IEEE Trans. Veh. Technol., 2017)

Locality Preserving Projection Based on F-norm. - Xiangjie Hu; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (AAAI, 2018)

Retinal Blood Vessels Extraction of Challenging Images. - Toufique Ahmed Soomro; Junbin Gao; Lihong Zheng; Ahmed J. Afifi; Shafiullah Soomro; Manoranjan Paul (AusDM, 2018)

SPAARC: A Fast Decision Tree Algorithm. - Darren Yates; Md Zahidul Islam 001; Junbin Gao (AusDM, 2018)

Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones. - Darren Yates; Md Zahidul Islam 001; Junbin Gao (AusDM, 2018)

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss. - Toufique Ahmed Soomro; Olaf Hellwich; Ahmed J. Afifi; Manoranjan Paul; Junbin Gao; Lihong Zheng (DICTA, 2018)

Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition. - Gengxing Wang; Wenxiong Kang; Qiuxia Wu; Zhiyong Wang 001; Junbin Gao (DICTA, 2018)

Security and Privacy Protection for eHealth Data. - Sharmin Jahan; Mozammel Chowdhury; Rafiqul Islam 002; Junbin Gao (FNSS, 2018)

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCAI, 2018)

Functional Locality Preserving Projection for Dimensionality Reduction. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai; Xia Hong 001 (IJCNN, 2018)

Cyclone Track Prediction with Matrix Neural Networks. - Yanfei Zhang; Rohitash Chandra; Junbin Gao (IJCNN, 2018)

Shared Deep Kernel Learning for Dimensionality Reduction. - Xinwei Jiang; Junbin Gao; Xiaobo Liu 001; Zhihua Cai; Dongmei Zhang 006; Yuanxing Liu 002 (PAKDD (3), 2018)

Branched Convolutional Neural Networks for Face Alignment. - Meilu Zhu; Daming Shi 001; Songkui Chen; Junbin Gao (PCM (3), 2018)

Malware Detection for Healthcare Data Security. - Mozammel Chowdhury; Sharmin Jahan; Rafiqul Islam 002; Junbin Gao (SecureComm (2), 2018)

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation. - Toufique Ahmed Soomro; Tariq Mahmood Khan; Mohammad A. U. Khan; Junbin Gao; Manoranjan Paul; Lihong Zheng (IEEE Access, 2018)

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification. - Lin Wu 001; Yang Wang 023; Junbin Gao; Dacheng Tao (CoRR, 2018)

Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data. - Muhammad Ali 005; Junbin Gao (Neurocomputing, 2018)

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Neurocomputing, 2018)

SRNN: Self-regularized neural network. - Chunyan Xu; Jian Yang 003; Junbin Gao; Hanjiang Lai; Shuicheng Yan (Neurocomputing, 2018)

Locally adaptive sparse representation on Riemannian manifolds for robust classification. - Ming Yin 002; Zongze Wu 001; Daming Shi 001; Junbin Gao; Shengli Xie (Neurocomputing, 2018)

Low-rank structure preserving for unsupervised feature selection. - Wei Zheng; Chunyan Xu; Jian Yang 003; Junbin Gao; Fa Zhu (Neurocomputing, 2018)

Robust Multinomial Logistic Regression Based on RPCA. - Ming Yin 002; Deyu Zeng; Junbin Gao; Zongze Wu 001; Shengli Xie (IEEE J. Sel. Top. Signal Process., 2018)

Multi-Dimensional Sparse Models. - Na Qi; Yunhui Shi; Xiaoyan Sun 001; Jingdong Wang 001; Baocai Yin; Junbin Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Low Rank Representation on SPD matrices with Log-Euclidean metric. - Boyue Wang; Yongli Hu; Junbin Gao; Muhammad Ali 005; David Tien; Yanfeng Sun; Baocai Yin (Pattern Recognit., 2018)

Deep adaptive feature embedding with local sample distributions for person re-identification. - Lin Wu 001; Yang Wang 023; Junbin Gao; Xue Li 001 (Pattern Recognit., 2018)

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification. - Lin Wu 001; Yang Wang 023; Xue Li 001; Junbin Gao (Pattern Recognit., 2018)

Localized LRR on Grassmann Manifold: An Extrinsic View. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2018)

Subspace Clustering via Learning an Adaptive Low-Rank Graph. - Ming Yin 002; Shengli Xie; Zongze Wu 001; Yun Zhang 001; Junbin Gao (IEEE Trans. Image Process., 2018)

Progressive Hard-Mining Network for Monocular Depth Estimation. - Zhenyu Zhang 005; Chunyan Xu; Jian Yang 003; Junbin Gao; Zhen Cui 001 (IEEE Trans. Image Process., 2018)

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2018)

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2018)

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization. - Yang Wang 023; Lin Wu 001; Xuemin Lin 001; Junbin Gao (IEEE Trans. Neural Networks Learn. Syst., 2018)

On Selecting Effective Patterns for Fast Support Vector Regression Training. - Fa Zhu; Junbin Gao; Chunyan Xu; Jian Yang 003; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. - Darren Yates; Md Zahidul Islam 001; Junbin Gao (ADMA, 2019)

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CVPR, 2019)

Tensor-Train Parameterization for Ultra Dimensionality Reduction. - Mingyuan Bai; S. T. Boris Choy; Xin Song; Junbin Gao (ICBK, 2019)

Sparse Least Squares Low Rank Kernel Machines. - Di Xu; Manjing Fang; Xia Hong 001; Junbin Gao (ICONIP (2), 2019)

Locality Preserving Projection via Deep Neural Network. - Tianhang Long; Junbin Gao; Mingyan Yang; Yongli Hu; Baocai Yin (IJCNN, 2019)

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder. - Qiang Ji; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Access, 2019)

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. - Toufique Ahmed Soomro; Ahmed J. Afifi; Ahmed Ali; Shafiullah Soomro; Gulsher Baloch; Lihong Zheng; Ming Yin 002; Junbin Gao (IEEE Access, 2019)

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review. - Toufique Ahmed Soomro; Ahmed J. Afifi; Lihong Zheng; Shafiullah Soomro; Junbin Gao; Olaf Hellwich; Manoranjan Paul (IEEE Access, 2019)

Manifold Optimisation Assisted Gaussian Variational Approximation. - Bingxin Zhou; Junbin Gao; Minh-Ngoc Tran; Richard Gerlach (CoRR, 2019)

Cluster Developing 1-Bit Matrix Completion. - Chengkun Zhang; Junbin Gao; Stephen Lu (CoRR, 2019)

LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering. - Di Xu; Tianhang Long; Junbin Gao (CoRR, 2019)

Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams. - Yang Li 090; Gang Liu 003; Junbin Gao; Zhenwen He; Mingyuan Bai; Chengjun Li (CoRR, 2019)

Coupling Matrix Manifolds and Their Applications in Optimal Transport. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (CoRR, 2019)

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation. - Toufique Ahmed Soomro; Ahmed J. Afifi; Junbin Gao; Olaf Hellwich; Lihong Zheng; Manoranjan Paul (Expert Syst. Appl., 2019)

A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. - Peitao Wang; Zhaoshui He; Kan Xie; Junbin Gao; Michael Antolovich; Beihai Tan (Neurocomputing, 2019)

Spatial-temporal dynamic hand gesture recognition via hybrid deep learning model. - Jinghua Li; Huarui Huai; Junbin Gao; Dehui Kong; Lichun Wang 002 (J. Multimodal User Interfaces, 2019)

Coupled-learning convolutional neural networks for object recognition. - Chunyan Xu; Jian Yang 003; Junbin Gao (Multim. Tools Appl., 2019)

Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. - Meilu Zhu; Daming Shi 001; Junbin Gao (Neural Networks, 2019)

Boosting sensitivity of a retinal vessel segmentation algorithm. - Mohammad A. U. Khan; Tariq Mahmood Khan; Toufique Ahmed Soomro; Nighat Mir; Junbin Gao (Pattern Anal. Appl., 2019)

UP-CNN: Un-pooling augmented convolutional neural network. - Chunyan Xu; Jian Yang 003; Hanjiang Lai; Junbin Gao; Linlin Shen; Shuicheng Yan (Pattern Recognit. Lett., 2019)

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. - Xinwei Jiang; Xin Song; Yongshan Zhang; Junjun Jiang; Junbin Gao; Zhihua Cai (Remote. Sens., 2019)

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. - Xin Song; Xinwei Jiang; Junbin Gao; Zhihua Cai (Remote. Sens., 2019)

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition. - Lin Wu 001; Yang Wang 023; Xue Li 001; Junbin Gao (IEEE Trans. Cybern., 2019)

Parametric Classification of Bingham Distributions Based on Grassmann Manifolds. - Muhammad Ali 005; Junbin Gao; Michael Antolovich (IEEE Trans. Image Process., 2019)

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. - Haoran Chen; Jinghua Li; Junbin Gao; Yanfeng Sun; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)

Tensorizing Restricted Boltzmann Machine. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Michael Antolovich; Jun-Liang Dong; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2019)

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification. - Lin Wu 001; Yang Wang 023; Junbin Gao; Xue Li 001 (IEEE Trans. Multim., 2019)

Solving Partial Least Squares Regression via Manifold Optimization Approaches. - Haoran Chen; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2019)

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2019)

Multiview Subspace Clustering via Tensorial t-Product Representation. - Ming Yin 002; Junbin Gao; Shengli Xie; Yi Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. - Hengmin Zhang; Jianjun Qian; Junbin Gao; Jian Yang 003; Chunyan Xu (IEEE Trans. Neural Networks Learn. Syst., 2019)

Shared Generative Latent Representation Learning for Multi-View Clustering. - Ming Yin 002; Weitian Huang; Junbin Gao (AAAI, 2020)

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ACCV (5), 2020)

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin; Wenwu Zhu 001; Ge Li 002 (ICME, 2020)

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ICPR, 2020)

Regularized Flexible Activation Function Combination for Deep Neural Networks. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (ICPR, 2020)

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ICPR, 2020)

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. - Xinglin Piao; Yongli Hu; Junbin Gao; Yanfeng Sun; Xin Yang 011; Baocai Yin (ICPR, 2020)

Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. - Chengkun Zhang; Junbin Gao (IJCAI, 2020)

Nonlinear Logistic Regression Model Based On Simplex Basis Function. - Xia Hong 001; Hong Wei; Junbin Gao (IJCNN, 2020)

Cluster Developing 1-Bit Matrix Completion. - Chengkun Zhang; Junbin Gao; Steven Lu 002 (IJCNN, 2020)

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (IJCNN, 2020)

Fine-Grained Age Estimation With Multi-Attention Network. - Chunlong Hu; Junbin Gao; Jianjun Chen; Dengbiao Jiang; Yucheng Shu (IEEE Access, 2020)

HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (IEEE Access, 2020)

ADAMT: A Stochastic Optimization with Trend Correction Scheme. - Bingxin Zhou; Xuebin Zheng; Junbin Gao (CoRR, 2020)

A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting. - Zhengkun Li; Minh-Ngoc Tran; Chao Wang; Richard Gerlach; Junbin Gao (CoRR, 2020)

CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries. - Yang Li 090; Gang Liu 003; Mingyuan Bai; Junbin Gao; Lixin Ye; Zi Ming (CoRR, 2020)

Variance reduction for Riemannian non-convex optimization with batch size adaptation. - Andi Han; Junbin Gao (CoRR, 2020)

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (CoRR, 2020)

Regularized Flexible Activation Function Combinations for Deep Neural Networks. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (CoRR, 2020)

Adaptive Multi-level Hyper-gradient Descent. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (CoRR, 2020)

Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient. - Andi Han; Junbin Gao (CoRR, 2020)

Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. - Xia Hong 001; Junbin Gao; Sheng Chen 001 (J. Frankl. Inst., 2020)

Matrix-variate variational auto-encoder with applications to image process. - Jinghua Li; Huixia Yan; Junbin Gao; Dehui Kong; Lichun Wang 002; Shaofan Wang; Baocai Yin (J. Vis. Commun. Image Represent., 2020)

Locality preserving projection based on Euler representation. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (J. Vis. Commun. Image Represent., 2020)

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2020)

Hierarchical Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Sean Qian; Junbin Gao; Baocai Yin (AAAI, 2021)

Multi-Source Domain Adaptation with Sinkhorn Barycenter. - Tatsuya Komatsu; Tomoko Matsui; Junbin Gao (EUSIPCO, 2021)

Fuzzy contrastive learning for online behavior analysis. - Jie Yang 009; Gang Huang; Jun Ma 002; Sarah K. Howard; Matthew Ciao; Junbin Gao (FUZZ-IEEE, 2021)

Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. - Yongli Hu; Feili Gao; Yanfeng Sun; Junbin Gao; Baocai Yin (ICANN (3), 2021)

How Framelets Enhance Graph Neural Networks. - Xuebin Zheng; Bingxin Zhou; Junbin Gao; Yuguang Wang 001; Pietro Lió; Ming Li 065; Guido Montúfar (ICML, 2021)

Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. - Zheng Cui; Yongli Hu; Yanfeng Sun; Junbin Gao; Baocai Yin (ICONIP (6), 2021)

Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. - Andi Han; Junbin Gao (IJCAI, 2021)

Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. - Mingyuan Bai; Qibin Zhao; Junbin Gao (IJCNN, 2021)

Hierarchical Attention Transformer Networks for Long Document Classification. - Yongli Hu; Puman Chen; Tengfei Liu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCNN, 2021)

Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. - Suman Saha 004; Junbin Gao; Richard Gerlach (IJCNN, 2021)

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. - Andi Han; Bamdev Mishra; Pratik Kumar Jawanpuria; Junbin Gao (NeurIPS, 2021)

Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting. - Renlong Jie; Junbin Gao (IEEE Access, 2021)

Stock Ranking Prediction Using List-Wise Approach and Node Embedding Technique. - Suman Saha 004; Junbin Gao; Richard Gerlach (IEEE Access, 2021)

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (CoRR, 2021)

A Discussion On the Validity of Manifold Learning. - Dai Shi; Andi Han; Yi Guo 001; Junbin Gao (CoRR, 2021)

Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures. - Renlong Jie; Junbin Gao (CoRR, 2021)

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. - Mingyuan Bai; S. T. Boris Choy; Junping Zhang; Junbin Gao (CoRR, 2021)

Graph Denoising with Framelet Regularizer. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (CoRR, 2021)

Estimating the square root of probability density function on Riemannian manifold. - Xia Hong 001; Junbin Gao (Expert Syst. J. Knowl. Eng., 2021)

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. - Yongli Hu; Cuicui Luo; Boyue Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (IET Comput. Vis., 2021)

Minimum unbiased risk estimate based 2DPCA for color image denoising. - Mingli Wang 004; Xinwei Jiang; Junbin Gao; Tianjiang Wang; Chunlong Hu; Fang Liu 011; Qi Feng 003 (Neurocomputing, 2021)

Kronecker-decomposable robust probabilistic tensor discriminant analysis. - Fujiao Ju; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Inf. Sci., 2021)

Manifold Optimization-Assisted Gaussian Variational Approximation. - Bingxin Zhou; Junbin Gao; Minh-Ngoc Tran; Richard Gerlach (J. Comput. Graph. Stat., 2021)

Coupling matrix manifolds assisted optimization for optimal transport problems. - Dai Shi; Junbin Gao; Xia Hong 001; S. T. Boris Choy; Zhiyong Wang 001 (Mach. Learn., 2021)

LSTM-assisted evolutionary self-expressive subspace clustering. - Di Xu; Mingyuan Bai; Tianhang Long; Junbin Gao (Int. J. Mach. Learn. Cybern., 2021)

Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds. - Shengjing Tian; Xiuping Liu; Meng Liu 006; Yuhao Bian; Junbin Gao; Baocai Yin (Remote. Sens., 2021)

Efficient sparse subspace clustering by nearest neighbour filtering. - Yi Guo 001; Stephen Tierney; Junbin Gao (Signal Process., 2021)

AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering. - Yongli Hu; Zuolong Song; Boyue Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2021)

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. - Kan Guo; Yongli Hu; Sean Qian; Hao Liu 040; Ke Zhang 016; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2021)

Robust Image Representation via Low Rank Locality Preserving Projection. - Shuai Yin; Yanfeng Sun; Junbin Gao; Yongli Hu; Boyue Wang; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2021)

Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network. - Boyan Zhang; Zhiyong Wang 001; Junbin Gao; Chantal Rutjes; Kaitlin Nufer; Dacheng Tao; David Dagan Feng; Scott W. Menzies (IEEE Trans. Medical Imaging, 2021)

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Fujiao Ju; Baocai Yin (IEEE Trans. Multim., 2021)

Robust Functional Manifold Clustering. - Yi Guo 001; Stephen Tierney; Junbin Gao (IEEE Trans. Neural Networks Learn. Syst., 2021)

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. - Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Fujiao Ju; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification. - Lin Wu 001; Yang Wang 023; Junbin Gao; Meng Wang 001; Zheng-Jun Zha; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2021)

How Neural Processes Improve Graph Link Prediction. - Huidong Liang; Junbin Gao (ICASSP, 2022)

Tensor Neural Controlled Differential Equations. - Mingyuan Bai; Jie Chen; Qibin Zhao; Chao Li 013; Junping Zhang; Junbin Gao (IJCNN, 2022)

Hierarchical Multiple Granularity Attention Network for Long Document Classification. - Yongli Hu; Wen Ding; Tengfei Liu; Junbin Gao; Yanfeng Sun; Baocai Yin (IJCNN, 2022)

Robust Graph Convolutional Clustering With Adaptive Graph Learning. - Jiayi Zhao; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Baocai Yin (IJCNN, 2022)

OTExtSum: Extractive Text Summarisation with Optimal Transport. - Peggy Tang; Kun Hu; Rui Yan; Lei Zhang 001; Junbin Gao; Zhiyong Wang 001 (NAACL-HLT (Findings), 2022)

Kernel Matrix-based Spd Representation For Graph Learning. - Ye Xiao; Junbin Gao (SSCI, 2022)

Robust Denoising in Graph Neural Networks. - Siying Zhang; Andi Han; Junbin Gao (SSCI, 2022)

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. - Chengkun Zhang; Hongxu Chen 002; Sixiao Zhang; Guandong Xu; Junbin Gao (WSDM, 2022)

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. - Toufique Ahmed Soomro; Lihong Zheng; Ahmed J. Afifi; Ahmed Ali; Ming Yin 002; Junbin Gao (Artif. Intell. Rev., 2022)

Quasi-Framelets: Another Improvement to GraphNeural Networks. - Mengxi Yang; Xuebin Zheng; Jie Yin 001; Junbin Gao (CoRR, 2022)

Graph Neural Network for Local Corruption Recovery. - Bingxin Zhou; Yuanhong Jiang; Yu Guang Wang 001; Jingwei Liang; Junbin Gao; Shirui Pan; Xiaoqun Zhang (CoRR, 2022)

A Simple Yet Effective SVD-GCN for Directed Graphs. - Chunya Zou; Andi Han; Lequan Lin; Junbin Gao (CoRR, 2022)

Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing. - Jie Chen; Weiqi Liu; Zhizhong Huang; Junbin Gao; Junping Zhang; Jian Pu (CoRR, 2022)

Generalized energy and gradient flow via graph framelets. - Andi Han; Dai Shi; Zhiqi Shao; Junbin Gao (CoRR, 2022)

Generalized Laplacian Regularized Framelet GCNs. - Zhiqi Shao; Andi Han; Dai Shi; Andrey Vasnev; Junbin Gao (CoRR, 2022)

A survey of the application of graph-based approaches in stock market analysis and prediction. - Suman Saha 004; Junbin Gao; Richard Gerlach (Int. J. Data Sci. Anal., 2022)

Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Inf. Sci., 2022)

Adversarially regularized joint structured clustering network. - Yachao Yang; Fujiao Ju; Yanfeng Sun; Junbin Gao; Baocai Yin (Inf. Sci., 2022)

Low-rank and sparse representation based learning for cancer survivability prediction. - Jie Yang 009; Jun Ma 002; Khin Than Win; Junbin Gao; Zhenyu Yang 004 (Inf. Sci., 2022)

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. - Kan Guo; Yongli Hu; Yanfeng Sun; Zhen Sean Qian; Junbin Gao; Baocai Yin (IEEE Intell. Transp. Syst. Mag., 2022)

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. - Yongli Hu; Cuicui Luo; Junbin Gao; Boyue Wang; Yanfeng Sun; Baocai Yin (J. Vis. Commun. Image Represent., 2022)

Adaptive hierarchical hyper-gradient descent. - Renlong Jie; Junbin Gao; Andrey Vasnev; Minh-Ngoc Tran (Int. J. Mach. Learn. Cybern., 2022)

Cross-modal alignment with graph reasoning for image-text retrieval. - Zheng Cui; Yongli Hu; Yanfeng Sun; Junbin Gao; Baocai Yin (Multim. Tools Appl., 2022)

Adaptive graph convolutional clustering network with optimal probabilistic graph. - Jiayi Zhao; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang; Baocai Yin (Neural Networks, 2022)

Embedding graphs on Grassmann manifold. - Bingxin Zhou; Xuebin Zheng; Yu Guang Wang 001; Ming Li 065; Junbin Gao (Neural Networks, 2022)

Improved Variance Reduction Methods for Riemannian Non-Convex Optimization. - Andi Han; Junbin Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Neighborhood linear discriminant analysis. - Fa Zhu; Junbin Gao; Jian Yang 003; Ning Ye (Pattern Recognit., 2022)

Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. - Jiahao Xu 002; Boyan Zhang; Zhiyong Wang 001; Yang Wang 002; Fang Chen 001; Junbin Gao; David Dagan Feng (IEEE Trans. Affect. Comput., 2022)

Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. - Xiangjie Hu; Yanfeng Sun; Junbin Gao; Yongli Hu; Fujiao Ju; Baocai Yin (IEEE Trans. Cybern., 2022)

A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. - Ziyang Guo; Anyou Min; Bing Yang; Junhong Chen; Hong Li 009; Junbin Gao (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Image Process., 2022)

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. - Kan Guo; Yongli Hu; Zhen Sean Qian; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. - Yanfeng Sun; Xiangheng Jiang; Yongli Hu; Fuqing Duan; Kan Guo; Boyue Wang; Junbin Gao; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2022)

A Review for Weighted MinHash Algorithms. - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (IEEE Trans. Knowl. Data Eng., 2022)

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. - Qiang Ji; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2022)

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. - Dai Shi; Zhiqi Shao; Andi Han; Yi Guo 001; Junbin Gao (ACML, 2023)

Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. - Ruikun Li 001; Xuliang Li 009; Shiying Gao; S. T. Boris Choy; Junbin Gao (ADMA (1), 2023)

Riemannian Accelerated Gradient Methods via Extrapolation. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (AISTATS, 2023)

DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers. - Junbin Gao; Hao Ruan; Bingrong Xu; Zhigang Zeng (CBS, 2023)

GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network. - Hao Ruan; Bingrong Xu; Junbin Gao; Lianguang Liu; Junting Lv; Yin Sheng; Zhigang Zeng (CBS, 2023)

FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. - Kuan Yan; Junbin Gao; Dmytro Matsypura (DSAA, 2023)

Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (GSI (1), 2023)

A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. - Lequan Lin; Junbin Gao (ICASSP, 2023)

A Review for Weighted MinHash Algorithms (Extended abstract). - Wei Wu 011; Bin Li 015; Ling Chen 006; Junbin Gao; Chengqi Zhang (ICDE, 2023)

Audioset classification with Graph Convolutional Attention model. - Xuliang Li 009; Junbin Gao (IJCNN, 2023)

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. - Dai Shi; Andi Han; Yi Guo 001; Junbin Gao (IJCNN, 2023)

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. - Ye Xiao; Ruikun Li 001; Andrey Vasnev; Junbin Gao (IJCNN, 2023)

Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA. - Zhongfan Sun; Yongli Hu; Qingqing Gao; Huajie Jiang; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Multimedia, 2023)

TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation. - Peggy Tang; Kun Hu; Lei Zhang 001; Junbin Gao; Jiebo Luo 001; Zhiyong Wang 001 (ACM Multimedia, 2023)

Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. - Peggy Tang; Junbin Gao; Lei Zhang 001; Zhiyong Wang 001 (SustaiNLP, 2023)

Robust Graph Representation Learning for Local Corruption Recovery. - Bingxin Zhou; Yuanhong Jiang; Yuguang Wang 001; Jingwei Liang; Junbin Gao; Shirui Pan; Xiaoqun Zhang (WWW, 2023)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Frameless Graph Knowledge Distillation. - Dai Shi; Zhiqi Shao; Yi Guo 001; Junbin Gao (CoRR, 2023)

How Curvature Enhance the Adaptation Power of Framelet GCNs. - Dai Shi; Yi Guo 001; Zhiqi Shao; Junbin Gao (CoRR, 2023)

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. - Zhiqi Shao; Dai Shi; Andi Han; Yi Guo 001; Qibin Zhao; Junbin Gao (CoRR, 2023)

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. - Dai Shi; Andi Han; Lequan Lin; Yi Guo 001; Junbin Gao (CoRR, 2023)

Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. - Xia Hong 001; Junbin Gao; Hong Wei; James Xiao; Richard J. Mitchell 001 (Neurocomputing, 2023)

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. - Xuebin Zheng; Bingxin Zhou; Ming Li 065; Yu Guang Wang 001; Junbin Gao (Knowl. Based Syst., 2023)

Graph contrastive learning with implicit augmentations. - Huidong Liang; Xingjian Du; Bilei Zhu; Zejun Ma; Ke Chen 021; Junbin Gao (Neural Networks, 2023)

Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. - Yi Guo 001; Stephen Tierney; Junbin Gao (Signal Process., 2023)

Nonconvex-nonconcave min-max optimization on Riemannian manifolds. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Trans. Mach. Learn. Res., 2023)

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. - Yachao Yang; Yanfeng Sun; Fujiao Ju; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2023)

Multi-Concept Representation Learning for Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Yongli Hu; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2023)

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust discriminant analysis with feature selective projection and between-classes structural incoherence. - Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (Digit. Signal Process., 2023)

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. - Guangyu Huo; Yong Zhang 029; Boyue Wang; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Intell. Transp. Syst., 2023)

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. - Guangyu Huo; Yong Zhang 029; Junbin Gao; Boyue Wang; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2023)

Wasserstein Adversarially Regularized Graph Autoencoder. - Huidong Liang; Junbin Gao (Neurocomputing, 2023)

Graph structure learning layer and its graph convolution clustering application. - Xiaxia He; Boyue Wang; Ruikun Li 001; Junbin Gao; Yongli Hu; Guangyu Huo; Baocai Yin (Neural Networks, 2023)

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Pawan Kumar 001; Junbin Gao (SIAM J. Optim., 2023)

CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances. - Yang Li 090; Mingyuan Bai; Qingfeng Guan 001; Zi Ming; Xun Liang 002; Gang Liu 003; Junbin Gao (Int. J. Geogr. Inf. Sci., 2023)

Hierarchical Graph Convolutional Networks for Structured Long Document Classification. - Tengfei Liu; Yongli Hu; Boyue Wang; Yanfeng Sun; Junbin Gao; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2023)

Domain Adaptation as Optimal Transport on Grassmann Manifolds. - Tianhang Long; Yanfeng Sun; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2023)

TDN: Triplet Distributor Network for Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2023)

Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. - Jie Chen; Shouzhen Chen; Mingyuan Bai; Jian Pu; Junping Zhang; Junbin Gao (IEEE Trans. Neural Networks Learn. Syst., 2023)

Graph Neural Networks with Soft Association between Topology and Attribute. - Yachao Yang; Yanfeng Sun; Shaofan Wang; Jipeng Guo 001; Junbin Gao; Fujiao Ju; Baocai Yin (AAAI, 2024)

Maximal Coding Rate Reduction for Graph Embeddings. - Zhengyang Chi; Junbin Gao (ICASSP, 2024)

Bregman Graph Neural Network. - Jiayu Zhai; Lequan Lin; Dai Shi; Junbin Gao (ICASSP, 2024)

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. - Qi Zhang 095; Yanfeng Sun; Jipeng Guo 001; Shaofan Wang; Jinghua Li; Junbin Gao; Baocai Yin (ICASSP, 2024)

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval. - Zheng Cui; Yongli Hu; Jiapu Wang; Junbin Gao; Yanfeng Sun; Baocai Yin (ICME, 2024)

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. - Mingyuan Bai; Wei Huang; Tenghui Li; Andong Wang; Junbin Gao; Cesar F. Caiafa; Qibin Zhao (ICML, 2024)

Improved Attributed Graph Clustering with Representation and Structure Augmentation. - Jipeng Guo 001; Tengxiao Yin; Tianxiang Zhao 002; Jiayi Zhao; Yanfeng Sun; Junbin Gao; Youqing Wang (IJCNN, 2024)

Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy. - Pengqing Shi; Junbin Gao (IJCNN, 2024)

DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. - Junjie Zhang; Shaojin Wu; Junbin Gao; Fusheng Yu; Hao Xu 028; Zhigang Zeng (ISNN, 2024)

Enhancing Network Intrusion Detection Systems: A Real-time Adaptive Machine Learning Approach for Adversarial Packet-Mutation Mitigation. - Md Mehedi Hasan; Md. Rafiqul Islam 001; Quazi Mamun; Md Zahidul Islam 001; Junbin Gao (NCA, 2024)

BIG: A Practical Framework for Balancing the Conflict Between Group and Individual Fairness in Graph Neural Networks. - Kuan Yan; Dmytro Matsypura; Junbin Gao (TrustCom, 2024)

IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. - Jiapu Wang; Zheng Cui; Boyue Wang; Shirui Pan; Junbin Gao; Baocai Yin; Wen Gao 001 (WWW, 2024)

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. - Lequan Lin; Dai Shi; Andi Han; Junbin Gao (CoRR, 2024)

CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model. - Zhiqi Shao; Michael G. H. Bell; Ze Wang; D. Glenn Geers; Xusheng Yao; Junbin Gao (CoRR, 2024)

ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting. - Zhiqi Shao; Michael G. H. Bell; Ze Wang; D. Glenn Geers; Haoning Xi; Junbin Gao (CoRR, 2024)

ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. - Zhiqi Shao; Xusheng Yao; Ze Wang; Junbin Gao (CoRR, 2024)

Unleash Graph Neural Networks from Heavy Tuning. - Lequan Lin; Dai Shi; Andi Han; Zhiyong Wang 001; Junbin Gao (CoRR, 2024)

Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (CoRR, 2024)

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting. - Zhiqi Shao; Haoning Xi; Haohui Lu; Ze Wang; Michael G. H. Bell; Junbin Gao (CoRR, 2024)

Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs. - Yachao Yang; Yanfeng Sun; Jipeng Guo 001; Junbin Gao; Shaofan Wang; Fujiao Ju; Baocai Yin (CoRR, 2024)

Contrastive optimized graph convolution network for traffic forecasting. - Kan Guo; Daxin Tian; Yongli Hu; Yanfeng Sun; Zhen (sean) Qian; Jianshan Zhou; Junbin Gao; Baocai Yin (Neurocomputing, 2024)

Differentially private Riemannian optimization. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Mach. Learn., 2024)

Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. - Tengfei Liu; Yongli Hu; Junbin Gao; Jiapu Wang; Yanfeng Sun; Baocai Yin (Neural Networks, 2024)

Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Multi-Level Interaction Based Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Simin Hu; Yongli Hu; Baocai Yin (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Hierarchical Multi-Modal Prompting Transformer for Multi-Modal Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. - Chunbo Cheng; Liming Zhang 002; Hong Li 009; Wenjing Cui; Junbin Gao; Yuxiao Cun (IEEE Trans. Geosci. Remote. Sens., 2024)

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. - Jie Chen; Mingyuan Bai; Shouzhen Chen; Junbin Gao; Junping Zhang; Jian Pu (Trans. Mach. Learn. Res., 2024)

From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. - Andi Han; Dai Shi; Lequan Lin; Junbin Gao (Trans. Mach. Learn. Res., 2024)

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. - Dai Shi; Zhiqi Shao; Yi Guo 001; Qibin Zhao; Junbin Gao (Trans. Mach. Learn. Res., 2024)

Diffusion models for time-series applications: a survey. - Lequan Lin; Zhengkun Li; Ruikun Li 001; Xuliang Li 009; Junbin Gao (Frontiers Inf. Technol. Electron. Eng., 2024)

Recent advances in artificial intelligence generated content. - Junping Zhang; Lingyun Sun; Cong Jin; Junbin Gao; Xiaobing Li; Jiebo Luo 001; Zhigeng Pan; Ying Tang; Jingdong Wang 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. - Qi Zhang 095; Jinghua Li; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2024)

Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. - Hengmin Zhang; Junbin Gao; Jianjun Qian; Jian Yang 003; Chunyan Xu; Bob Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2024)

Riemannian block SPD coupling manifold and its application to optimal transport. - Andi Han; Bamdev Mishra; Pratik Jawanpuria; Junbin Gao (Mach. Learn., 2024)

Enhancing framelet GCNs with generalized p-Laplacian regularization. - Zhiqi Shao; Dai Shi; Andi Han; Andrey Vasnev; Yi Guo 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2024)

A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. - Chunya Zou; Andi Han; Lequan Lin; Ming Li 065; Junbin Gao (IEEE Trans. Artif. Intell., 2024)

Parallelly Adaptive Graph Convolutional Clustering Model. - Xiaxia He; Boyue Wang; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. - Tengfei Liu; Yongli Hu; Junbin Gao; Yanfeng Sun; Baocai Yin (ACM Trans. Knowl. Discov. Data, 2024)

Variational Counterfactual Prediction Under Runtime Domain Corruption. - Hechuan Wen; Tong Chen 005; Li Kheng Chai; Shazia Sadiq; Junbin Gao; Hongzhi Yin (IEEE Trans. Knowl. Data Eng., 2024)

MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Shirui Pan; Tengfei Liu; Baocai Yin; Wen Gao 001 (IEEE Trans. Cybern., 2024)

Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. - Jie Chen; Shouzhen Chen; Junbin Gao; Zengfeng Huang; Junping Zhang; Jian Pu (IEEE Trans. Neural Networks Learn. Syst., 2024)

QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. - Jiapu Wang; Boyue Wang; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. - Yachao Yang; Yanfeng Sun; Shaofan Wang; Junbin Gao; Fujiao Ju; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2024)

CFMMC-Align: Coarse-Fine Multi-Modal Contrastive Alignment Network for Traffic Event Video Question Answering. - Kan Guo; Daxin Tian; Yongli Hu; Chunmian Lin; Yanfeng Sun; Jianshan Zhou; Xuting Duan; Junbin Gao; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2024)

Graph Denoising With Framelet Regularizers. - Bingxin Zhou; Ruikun Li 001; Xuebin Zheng; Yu Guang Wang 001; Junbin Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Mixed-Modality Clustering via Generative Graph Structure Matching. - Xiaxia He; Boyue Wang; Junbin Gao; Qianqian Wang 001; Yongli Hu; Baocai Yin (IEEE Trans. Knowl. Data Eng., 2024)

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation. - Tengfei Liu; Jiapu Wang; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (AAAI, 2025)

Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. - Kuan Yan; Yue Zeng; Dai Shi; Ting Zhang; Dmytro Matsypura; Mark C. Gillies; Ling Zhu; Junbin Gao (BIOSTEC (1), 2025)

A Riemannian Approach to Ground Metric Learning for Optimal Transport. - Pratik Jawanpuria; Dai Shi; Bamdev Mishra; Junbin Gao (ICASSP, 2025)

Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. - Lequan Lin; Dai Shi; Andi Han; Zhiyong Wang 001; Junbin Gao (ICLR, 2025)

When Graph Neural Networks Meet Dynamic Mode Decomposition. - Dai Shi; Lequan Lin; Andi Han; Zhiyong Wang 001; Yi Guo 001; Junbin Gao (ICLR, 2025)

On Leveraging Anomalies with Reference Alignment in Graph-Level Anomaly Detection. - Ye Xiao; Ruikun Li 001; Andrey Vasnev; Junbin Gao (PAKDD (1), 2025)

SplineFormer: Improving Time Series Forecasting with Kolmogorov-Arnold Networks and Enhanced ProbSparse Self-Attention. - Qingwen Zeng; Nan Yang; Jushang Qiu; Junbin Gao; Huaming Chen (PAKDD (4), 2025)

Revisiting time-varying dynamics in stock market forecasting: A multi-source sentiment analysis approach with large language model. - Zhiqi Shao; Xusheng Yao; Feng Chen 008; Ze Wang; Junbin Gao (Decis. Support Syst., 2025)

Multi-view subspace clustering with incomplete graph information. - Xiaxia He; Boyue Wang; Cuicui Luo; Junbin Gao; Yongli Hu; Baocai Yin (IET Comput. Vis., 2025)

ST-MambaSync: Complement the power of Mamba and Transformer fusion for less computational cost in spatial-temporal traffic forecasting. - Zhiqi Shao; Ze Wang; Xusheng Yao; Michael G. H. Bell; Junbin Gao (Inf. Fusion, 2025)

HKMCNN: Heat Kernel Mesh-Based Convolutional Neural Networks. - Tingting Li; Yunhui Shi; Junbin Gao; Jin Wang; Baocai Yin (Knowl. Based Syst., 2025)

Multi-scale signed graph convolutional network based on framelet. - Yuting Chu; Fujiao Ju; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2025)

Rescaled three-mode principal component analysis: An approach to subspace recovery. - Mingli Wang 004; Junbin Gao; Xinwei Jiang; Chunlong Hu; Feng Qin; Tianjiang Wang (Neural Networks, 2025)

BiFormer: A Bipartite-stream Information Fusion framework for large-scale graph representation learning. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang; Junbin Gao; Baocai Yin (Neural Networks, 2025)

Engineering Carbon Credits Towards A Responsible FinTech Era: The Practices, Implications, and Future. - Qingwen Zeng; Hanlin Xu; Nanjun Xu; Flora D. Salim; Junbin Gao; Huaming Chen (CoRR, 2025)

Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global. - Jinlu Wang; Yanfeng Sun; Jiapu Wang; Junbin Gao; Shaofan Wang; Jipeng Guo 001 (CoRR, 2025)

Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond. - Dai Shi; Kuan Yan; Lequan Lin; Yue Zeng; Ting Zhang; Dmytro Matsypura; Mark C. Gillies; Ling Zhu; Junbin Gao (CoRR, 2025)

Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. - Dai Shi; Andi Han; Lequan Lin; Yi Guo 001; Zhiyong Wang 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)

Quasi-framelets: robust graph neural networks via adaptive framelet convolution. - Mengxi Yang; Dai Shi; Xuebin Zheng; Jie Yin 001; Junbin Gao (Int. J. Mach. Learn. Cybern., 2025)

Training Large-Scale Graph Neural Networks via Graph Partial Pooling. - Qi Zhang 095; Yanfeng Sun; Shaofan Wang; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2025)

Bridging the Cross-Modality Semantic Gap in Visual Question Answering. - Boyue Wang; Yujian Ma; Xiaoyan Li; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

Frameless Graph Knowledge Distillation. - Dai Shi; Zhiqi Shao; Junbin Gao; Zhiyong Wang 001; Yi Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling. - Xiaoyang Li; Linwei Tao; Haohui Lu; Minjing Dong; Junbin Gao; Chang Xu (CoRR, 2025)

Multi-Granularity Feature Interaction and Multi-Region Selection Based Triplet Visual Question Answering. - Heng Liu; Boyue Wang; Yanfeng Sun; Junbin Gao; Xiaoyan Li; Yongli Hu; Baocai Yin (IEEE Trans. Big Data, 2025)

Tackling Real-World Complexity: Hierarchical Modeling and Dynamic Prompting for Multimodal Long Document Classification. - Tengfei Liu; Yongli Hu; Mingjie Li 006; Junfei Yi; Xiaojun Chang; Junbin Gao; Baocai Yin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Globality Meets Locality: An Anchor Graph Collaborative Learning Framework for Fast Multiview Subspace Clustering. - Jipeng Guo 001; Yanfeng Sun; Xin Ma; Junbin Gao; Yongli Hu; Youqing Wang; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

PREIG: Physics-informed and Reinforcement-driven Interpretable GRU for Commodity Demand Forecasting. - Hongwei Ma; Junbin Gao; Minh-Ngoc Tran (CoRR, 2025)

Modality Perception Learning-Based Determinative Factor Discovery for Multimodal Fake News Detection. - Boyue Wang; Guangchao Wu; Xiaoyan Li; Junbin Gao; Yongli Hu; Baocai Yin (IEEE Trans. Neural Networks Learn. Syst., 2025)

CPformer - Concept and Physics enhanced Transformer for Time Series Forecasting. - Hongwei Ma; Junbin Gao; Minh-Ngoc Tran (CoRR, 2025)

STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting. - Jiayu Fang; Zhiqi Shao; S. T. Boris Choy; Junbin Gao (CoRR, 2025)

SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer. - Jiayu Fang; Zhiqi Shao; S. T. Boris Choy; Junbin Gao (CoRR, 2025)

DGNN: Decoupled Graph Neural Networks With Structural Consistency Between Attribute and Graph Embedding Representations. - Jinlu Wang; Jipeng Guo 001; Yanfeng Sun; Junbin Gao; Shaofan Wang; Yachao Yang; Baocai Yin (IEEE Trans. Big Data, 2025)

Combating confirmation bias: a unified pseudo-labeling framework for entity alignment. - Qijie Ding; Jie Yin 001; Daokun Zhang; Junbin Gao (Data Min. Knowl. Discov., 2025)