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Person information
- affiliation: University of Sydney, Business School, NSW, Australia
- affiliation (2002 - 2015): Charles Sturt University, School of Computing and Mathematics, Bathurst, Australia
- affiliation (2001 - 2005): University of New England, Armidale, NSW, Australia
- affiliation (1982 - 2001): Huazhong University of Science and Technology, Department of Mathematics, Wuhan, China
- affiliation (PhD 1991): Dalian University of Technology, China
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2020 – today
- 2022
[j146]Toufique Ahmed Soomro
, Lihong Zheng, Ahmed J. Afifi, Ahmed Ali, Ming Yin, Junbin Gao:
Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research. Artif. Intell. Rev. 55(2): 1409-1439 (2022)- [j145]Suman Saha, Junbin Gao, Richard Gerlach:
A survey of the application of graph-based approaches in stock market analysis and prediction. Int. J. Data Sci. Anal. 14(1): 1-15 (2022) - [j144]Jie Yang, Jun Ma, Khin Than Win, Junbin Gao, Zhenyu Yang:
Low-rank and sparse representation based learning for cancer survivability prediction. Inf. Sci. 582: 573-592 (2022) - [j143]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds. Inf. Sci. 594: 151-162 (2022) - [j142]Kan Guo, Yongli Hu, Yanfeng Sun, Zhen Sean Qian, Junbin Gao, Baocai Yin:
An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting. IEEE Intell. Transp. Syst. Mag. 14(1): 153-162 (2022) - [j141]Yongli Hu, Cuicui Luo, Junbin Gao, Boyue Wang, Yanfeng Sun, Baocai Yin:
Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering. J. Vis. Commun. Image Represent. 84: 103457 (2022) - [j140]Fa Zhu, Junbin Gao, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022) - [j139]Jiahao Xu, Boyan Zhang, Zhiyong Wang, Yang Wang, Fang Chen, Junbin Gao, David Dagan Feng:
Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network. IEEE Trans. Affect. Comput. 13(1): 238-249 (2022) - [j138]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju, Baocai Yin:
Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference. IEEE Trans. Cybern. 52(3): 1616-1627 (2022) - [j137]Ziyang Guo, Anyou Min, Bing Yang, Junhong Chen, Hong Li, Junbin Gao:
A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j136]Kan Guo, Yongli Hu, Zhen Sean Qian, Yanfeng Sun, Junbin Gao, Baocai Yin:
Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation. IEEE Trans. Intell. Transp. Syst. 23(2): 1009-1018 (2022) - [j135]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. IEEE Trans. Knowl. Data Eng. 34(6): 2553-2573 (2022) - [c152]Huidong Liang, Junbin Gao:
How Neural Processes Improve Graph Link Prediction. ICASSP 2022: 3543-3547 - [c151]Chengkun Zhang, Hongxu Chen, Sixiao Zhang, Guandong Xu, Junbin Gao:
Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing. WSDM 2022: 1337-1346 - [i69]Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-Framelets: Another Improvement to GraphNeural Networks. CoRR abs/2201.04728 (2022) - [i68]Bingxin Zhou, Yuanhong Jiang, Yu Guang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Graph Neural Network for Local Corruption Recovery. CoRR abs/2202.04936 (2022) - [i67]Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang:
OTExtSum: Extractive Text Summarisation with Optimal Transport. CoRR abs/2204.10086 (2022) - [i66]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR abs/2204.11418 (2022) - [i65]Chunya Zou, Andi Han, Lequan Lin, Junbin Gao:
A Simple Yet Effective SVD-GCN for Directed Graphs. CoRR abs/2205.09335 (2022) - [i64]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. CoRR abs/2205.09494 (2022) - [i63]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding Graphs on Grassmann Manifold. CoRR abs/2205.15068 (2022) - [i62]Jie Chen, Weiqi Liu, Zhizhong Huang, Junbin Gao, Junping Zhang, Jian Pu:
Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing. CoRR abs/2205.15127 (2022) - 2021
- [j134]Renlong Jie, Junbin Gao:
Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting. IEEE Access 9: 20922-20932 (2021) - [j133]Suman Saha, Junbin Gao, Richard Gerlach:
Stock Ranking Prediction Using List-Wise Approach and Node Embedding Technique. IEEE Access 9: 88981-88996 (2021) - [j132]Xia Hong, Junbin Gao:
Estimating the square root of probability density function on Riemannian manifold. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j131]Yongli Hu, Cuicui Luo, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser. IET Comput. Vis. 15(8): 618-632 (2021) - [j130]Mingli Wang, Xinwei Jiang, Junbin Gao, Tianjiang Wang, Chunlong Hu, Fang Liu, Qi Feng:
Minimum unbiased risk estimate based 2DPCA for color image denoising. Neurocomputing 440: 127-144 (2021) - [j129]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Kronecker-decomposable robust probabilistic tensor discriminant analysis. Inf. Sci. 561: 196-210 (2021) - [j128]Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach:
Manifold Optimization-Assisted Gaussian Variational Approximation. J. Comput. Graph. Stat. 30(4): 946-957 (2021) - [j127]Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. 110(3): 533-558 (2021) - [j126]Di Xu, Mingyuan Bai, Tianhang Long, Junbin Gao:
LSTM-assisted evolutionary self-expressive subspace clustering. Int. J. Mach. Learn. Cybern. 12(10): 2777-2793 (2021) - [j125]Shengjing Tian, Xiuping Liu, Meng Liu, Yuhao Bian, Junbin Gao, Baocai Yin:
Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds. Remote. Sens. 13(14): 2770 (2021) - [j124]Yi Guo, Stephen Tierney, Junbin Gao:
Efficient sparse subspace clustering by nearest neighbour filtering. Signal Process. 185: 108082 (2021) - [j123]Yongli Hu, Zuolong Song, Boyue Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4214-4226 (2021) - [j122]Kan Guo, Yongli Hu, Sean Qian, Hao Liu, Ke Zhang, Yanfeng Sun, Junbin Gao, Baocai Yin:
Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 22(2): 1138-1149 (2021) - [j121]Shuai Yin, Yanfeng Sun, Junbin Gao, Yongli Hu, Boyue Wang, Baocai Yin:
Robust Image Representation via Low Rank Locality Preserving Projection. ACM Trans. Knowl. Discov. Data 15(4): 64:1-64:22 (2021) - [j120]Boyan Zhang, Zhiyong Wang, Junbin Gao, Chantal Rutjes, Kaitlin Nufer, Dacheng Tao, David Dagan Feng, Scott W. Menzies:
Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network. IEEE Trans. Medical Imaging 40(3): 840-851 (2021) - [j119]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin:
Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering. IEEE Trans. Multim. 23: 216-227 (2021) - [j118]Lin Wu, Yang Wang, Junbin Gao, Meng Wang, Zheng-Jun Zha, Dacheng Tao:
Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 32(2): 722-735 (2021) - [j117]Yi Guo, Stephen Tierney, Junbin Gao:
Robust Functional Manifold Clustering. IEEE Trans. Neural Networks Learn. Syst. 32(2): 777-787 (2021) - [j116]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Fujiao Ju, Baocai Yin:
Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3484-3497 (2021) - [c150]Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin:
Hierarchical Graph Convolution Network for Traffic Forecasting. AAAI 2021: 151-159 - [c149]Tatsuya Komatsu, Tomoko Matsui, Junbin Gao:
Multi-Source Domain Adaptation with Sinkhorn Barycenter. EUSIPCO 2021: 1371-1375 - [c148]Jie Yang, Gang Huang, Jun Ma, Sarah K. Howard, Matthew Ciao, Junbin Gao:
Fuzzy contrastive learning for online behavior analysis. FUZZ-IEEE 2021: 1-6 - [c147]Yongli Hu, Feili Gao, Yanfeng Sun, Junbin Gao, Baocai Yin:
Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval. ICANN (3) 2021: 217-229 - [c146]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. ICML 2021: 12761-12771 - [c145]Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin:
Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval. ICONIP (6) 2021: 417-424 - [c144]Andi Han, Junbin Gao:
Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization. IJCAI 2021: 2505-2511 - [c143]Mingyuan Bai, Qibin Zhao, Junbin Gao:
Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations. IJCNN 2021: 1-8 - [c142]Yongli Hu, Puman Chen, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Attention Transformer Networks for Long Document Classification. IJCNN 2021: 1-7 - [c141]Suman Saha, Junbin Gao, Richard Gerlach:
Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques. IJCNN 2021: 1-10 - [c140]Andi Han, Bamdev Mishra, Pratik Kumar Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. NeurIPS 2021: 8940-8953 - [i61]Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion based Enhanced Graph Convolutional Network for Clustering. CoRR abs/2101.06883 (2021) - [i60]Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yu Guang Wang, Pietro Liò, Ming Li, Guido Montúfar:
How Framelets Enhance Graph Neural Networks. CoRR abs/2102.06986 (2021) - [i59]Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao:
Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification. CoRR abs/2104.13718 (2021) - [i58]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry. CoRR abs/2106.00286 (2021) - [i57]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
A Discussion On the Validity of Manifold Learning. CoRR abs/2106.01608 (2021) - [i56]Renlong Jie, Junbin Gao:
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures. CoRR abs/2106.07211 (2021) - [i55]Mingyuan Bai, S. T. Boris Choy, Junping Zhang, Junbin Gao:
Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications. CoRR abs/2107.10484 (2021) - [i54]Huidong Liang, Junbin Gao:
How Neural Processes Improve Graph Link Prediction. CoRR abs/2109.14894 (2021) - [i53]Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao:
Graph Denoising with Framelet Regularizer. CoRR abs/2111.03264 (2021) - [i52]Huidong Liang, Junbin Gao:
Wasserstein Adversarially Regularized Graph Autoencoder. CoRR abs/2111.04981 (2021) - 2020
- [j115]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints. IEEE Access 8: 69038-69057 (2020) - [j114]Chunlong Hu, Junbin Gao, Jianjun Chen, Dengbiao Jiang, Yucheng Shu:
Fine-Grained Age Estimation With Multi-Attention Network. IEEE Access 8: 196013-196023 (2020) - [j113]Xia Hong, Junbin Gao, Sheng Chen:
Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling. J. Frankl. Inst. 357(9): 5680-5697 (2020) - [j112]Jinghua Li, Huixia Yan, Junbin Gao, Dehui Kong, Lichun Wang, Shaofan Wang, Baocai Yin:
Matrix-variate variational auto-encoder with applications to image process. J. Vis. Commun. Image Represent. 67: 102750 (2020) - [j111]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Locality preserving projection based on Euler representation. J. Vis. Commun. Image Represent. 70: 102796 (2020) - [j110]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint. ACM Trans. Knowl. Discov. Data 14(6): 75:1-75:20 (2020) - [c139]Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-View Clustering. AAAI 2020: 6688-6695 - [c138]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin:
Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold. ACCV (5) 2020: 562-577 - [c137]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin, Wenwu Zhu, Ge Li:
Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation. ICME 2020: 1-6 - [c136]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering. ICPR 2020: 907-914 - [c135]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combination for Deep Neural Networks. ICPR 2020: 2001-2008 - [c134]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network. ICPR 2020: 8352-8359 - [c133]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Xin Yang, Baocai Yin:
A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint. ICPR 2020: 9392-9398 - [c132]Chengkun Zhang, Junbin Gao:
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding. IJCAI 2020: 3990-3996 - [c131]Xia Hong, Hong Wei, Junbin Gao:
Nonlinear Logistic Regression Model Based On Simplex Basis Function. IJCNN 2020: 1-8 - [c130]Chengkun Zhang, Junbin Gao, Steven Lu:
Cluster Developing 1-Bit Matrix Completion. IJCNN 2020: 1-8 - [c129]Bingxin Zhou, Xuebin Zheng, Junbin Gao:
On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods. IJCNN 2020: 1-8 - [i51]Bingxin Zhou, Xuebin Zheng, Junbin Gao:
ADAMT: A Stochastic Optimization with Trend Correction Scheme. CoRR abs/2001.06130 (2020) - [i50]Zhengkun Li, Minh-Ngoc Tran, Chao Wang, Richard Gerlach, Junbin Gao:
A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting. CoRR abs/2001.08374 (2020) - [i49]Yang Li, Gang Liu, Mingyuan Bai, Junbin Gao, Lixin Ye, Zi Ming:
CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries. CoRR abs/2005.08483 (2020) - [i48]Andi Han, Junbin Gao:
Variance reduction for Riemannian non-convex optimization with batch size adaptation. CoRR abs/2007.01494 (2020) - [i47]Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao:
Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide. CoRR abs/2007.11202 (2020) - [i46]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Regularized Flexible Activation Function Combinations for Deep Neural Networks. CoRR abs/2007.13101 (2020) - [i45]Andi Han, Junbin Gao:
Riemannian stochastic recursive momentum method for non-convex optimization. CoRR abs/2008.04555 (2020) - [i44]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive Multi-level Hyper-gradient Descent. CoRR abs/2008.07277 (2020) - [i43]Andi Han, Junbin Gao:
Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient. CoRR abs/2010.12191 (2020)
2010 – 2019
- 2019
- [j109]Toufique Ahmed Soomro, Ahmed J. Afifi, Lihong Zheng, Shafiullah Soomro, Junbin Gao, Olaf Hellwich, Manoranjan Paul:
Deep Learning Models for Retinal Blood Vessels Segmentation: A Review. IEEE Access 7: 71696-71717 (2019) - [j108]Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder. IEEE Access 7: 74122-74133 (2019) - [j107]Toufique Ahmed Soomro, Ahmed J. Afifi, Ahmed Ali Shah, Shafiullah Soomro, Gulsher Ali Baloch, Lihong Zheng, Ming Yin, Junbin Gao:
Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation. IEEE Access 7: 158183-158197 (2019) - [j106]Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Lihong Zheng, Manoranjan Paul:
Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation. Expert Syst. Appl. 134: 36-52 (2019) - [j105]Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich, Beihai Tan:
A hybrid algorithm for low-rank approximation of nonnegative matrix factorization. Neurocomputing 364: 129-137 (2019) - [j104]Jinghua Li, Huarui Huai, Junbin Gao, Dehui Kong, Lichun Wang:
Spatial-temporal dynamic hand gesture recognition via hybrid deep learning model. J. Multimodal User Interfaces 13(4): 363-371 (2019) - [j103]Chunyan Xu, Jian Yang, Junbin Gao:
Coupled-learning convolutional neural networks for object recognition. Multim. Tools Appl. 78(1): 573-589 (2019) - [j102]Meilu Zhu, Daming Shi, Junbin Gao:
Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection. Neural Networks 118: 127-139 (2019) - [j101]Mohammad A. U. Khan, Tariq Mahmood Khan, Toufique Ahmed Soomro, Nighat Mir, Junbin Gao:
Boosting sensitivity of a retinal vessel segmentation algorithm. Pattern Anal. Appl. 22(2): 583-599 (2019) - [j100]Chunyan Xu, Jian Yang, Hanjiang Lai, Junbin Gao, Linlin Shen, Shuicheng Yan:
UP-CNN: Un-pooling augmented convolutional neural network. Pattern Recognit. Lett. 119: 34-40 (2019) - [j99]Xinwei Jiang, Xin Song, Yongshan Zhang, Junjun Jiang, Junbin Gao, Zhihua Cai:
Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery. Remote. Sens. 11(1): 29 (2019) - [j98]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai:
Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification. Remote. Sens. 11(19): 2288 (2019) - [j97]Lin Wu, Yang Wang, Xue Li, Junbin Gao:
Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition. IEEE Trans. Cybern. 49(5): 1791-1802 (2019) - [j96]Muhammad Ali, Junbin Gao, Michael Antolovich:
Parametric Classification of Bingham Distributions Based on Grassmann Manifolds. IEEE Trans. Image Process. 28(12): 5771-5784 (2019) - [j95]Fujiao Ju, Yanfeng Sun, Junbin Gao, Michael Antolovich, Jun-Liang Dong, Baocai Yin:
Tensorizing Restricted Boltzmann Machine. ACM Trans. Knowl. Discov. Data 13(3): 30:1-30:16 (2019) - [j94]Haoran Chen, Jinghua Li, Junbin Gao, Yanfeng Sun, Yongli Hu, Baocai Yin:
Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning. ACM Trans. Knowl. Discov. Data 13(4): 39:1-39:17 (2019) - [j93]Lin Wu, Yang Wang, Junbin Gao, Xue Li:
Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification. IEEE Trans. Multim. 21(6): 1412-1424 (2019) - [j92]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Solving Partial Least Squares Regression via Manifold Optimization Approaches. IEEE Trans. Neural Networks Learn. Syst. 30(2): 588-600 (2019) - [j91]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. 30(3): 851-864 (2019) - [j90]Hengmin Zhang, Jianjun Qian, Junbin Gao, Jian Yang, Chunyan Xu:
Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2825-2839 (2019) - [j89]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data. IEEE Trans. Neural Networks Learn. Syst. 30(10): 2938-2950 (2019) - [c128]Darren Yates, Md Zahidul Islam, Junbin Gao:
DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. ADMA 2019: 828-838 - [c127]Xinglin Piao, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering. CVPR 2019: 12075-12084 - [c126]Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao:
Tensor-Train Parameterization for Ultra Dimensionality Reduction. ICBK 2019: 17-24 - [c125]Di Xu, Manjing Fang, Xia Hong, Junbin Gao:
Sparse Least Squares Low Rank Kernel Machines. ICONIP (2) 2019: 395-406 - [c124]