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ORCIDJunbin Gao
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
- 2024
[j199]Kan Guo
, Daxin Tian, Yongli Hu, Yanfeng Sun, Zhen (sean) Qian, Jianshan Zhou, Junbin Gao, Baocai Yin:
Contrastive optimized graph convolution network for traffic forecasting. Neurocomputing 602: 128249 (2024)- [j198]Junping Zhang, Lingyun Sun, Cong Jin, Junbin Gao, Xiaobing Li, Jiebo Luo, Zhigeng Pan, Ying Tang, Jingdong Wang:
Recent advances in artificial intelligence generated content. Frontiers Inf. Technol. Electron. Eng. 25(1): 1-5 (2024) - [j197]Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion models for time-series applications: a survey. Frontiers Inf. Technol. Electron. Eng. 25(1): 19-41 (2024) - [j196]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. Mach. Learn. 113(3): 1133-1161 (2024) - [j195]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian block SPD coupling manifold and its application to optimal transport. Mach. Learn. 113(4): 1595-1622 (2024) - [j194]Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao:
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15(4): 1553-1573 (2024) - [j193]Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, Junbin Gao, Baocai Yin:
Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks. Neural Networks 169: 1-10 (2024) - [j192]Tengfei Liu, Yongli Hu, Junbin Gao, Jiapu Wang, Yanfeng Sun, Baocai Yin:
Multi-modal long document classification based on Hierarchical Prompt and Multi-modal Transformer. Neural Networks 176: 106322 (2024) - [j191]Bingxin Zhou, Ruikun Li, Xuebin Zheng, Yu Guang Wang, Junbin Gao:
Graph Denoising With Framelet Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7606-7617 (2024) - [j190]Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao:
A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Trans. Artif. Intell. 5(4): 1647-1657 (2024) - [j189]Jiapu Wang, Boyue Wang, Junbin Gao, Simin Hu, Yongli Hu, Baocai Yin:
Multi-Level Interaction Based Knowledge Graph Completion. IEEE ACM Trans. Audio Speech Lang. Process. 32: 386-396 (2024) - [j188]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multi-Granularity Interaction Graph Convolutional Network for Long Document Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1762-1775 (2024) - [j187]Hengmin Zhang, Junbin Gao, Jianjun Qian, Jian Yang, Chunyan Xu, Bob Zhang:
Linear Regression Problem Relaxations Solved by Nonconvex ADMM With Convergence Analysis. IEEE Trans. Circuits Syst. Video Technol. 34(2): 828-838 (2024) - [j186]Jiapu Wang, Boyue Wang, Junbin Gao, Shirui Pan, Tengfei Liu, Baocai Yin, Wen Gao:
MADE: Multicurvature Adaptive Embedding for Temporal Knowledge Graph Completion. IEEE Trans. Cybern. 54(10): 5818-5831 (2024) - [j185]Chunbo Cheng, Liming Zhang, Hong Li, Wenjing Cui, Junbin Gao, Yuxiao Cun:
A Deep High-Order Tensor Sparse Representation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j184]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Cross-modal Multiple Granularity Interactive Fusion Network for Long Document Classification. ACM Trans. Knowl. Discov. Data 18(4): 78:1-78:24 (2024) - [j183]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction Under Runtime Domain Corruption. IEEE Trans. Knowl. Data Eng. 36(5): 2271-2284 (2024) - [j182]Xiaxia He, Boyue Wang, Junbin Gao, Qianqian Wang, Yongli Hu, Baocai Yin:
Mixed-Modality Clustering via Generative Graph Structure Matching. IEEE Trans. Knowl. Data Eng. 36(12): 8773-8786 (2024) - [j181]Andi Han, Dai Shi, Lequan Lin, Junbin Gao:
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. Trans. Mach. Learn. Res. 2024 (2024) - [j180]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [j179]Xiaxia He, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Parallelly Adaptive Graph Convolutional Clustering Model. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4451-4464 (2024) - [j178]Jie Chen, Shouzhen Chen, Junbin Gao, Zengfeng Huang, Junping Zhang, Jian Pu:
Exploiting Neighbor Effect: Conv-Agnostic GNN Framework for Graphs With Heterophily. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13383-13396 (2024) - [j177]Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin:
QDN: A Quadruplet Distributor Network for Temporal Knowledge Graph Completion. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14018-14030 (2024) - [j176]Yachao Yang, Yanfeng Sun, Shaofan Wang, Junbin Gao, Fujiao Ju, Baocai Yin:
A Dual-Masked Deep Structural Clustering Network With Adaptive Bidirectional Information Delivery. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14783-14796 (2024) - [c184]Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin:
Graph Neural Networks with Soft Association between Topology and Attribute. AAAI 2024: 9260-9268 - [c183]Qi Zhang, Yanfeng Sun, Jipeng Guo, Shaofan Wang, Jinghua Li, Junbin Gao, Baocai Yin:
AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs. ICASSP 2024: 4970-4974 - [c182]Zhengyang Chi, Junbin Gao:
Maximal Coding Rate Reduction for Graph Embeddings. ICASSP 2024: 5485-5489 - [c181]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. ICASSP 2024: 6250-6254 - [c180]Zheng Cui, Yongli Hu, Jiapu Wang, Junbin Gao, Yanfeng Sun, Baocai Yin:
Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval. ICME 2024: 1-6 - [c179]Mingyuan Bai, Wei Huang, Tenghui Li, Andong Wang, Junbin Gao, Cesar F. Caiafa, Qibin Zhao:
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance. ICML 2024 - [c178]Jipeng Guo, Tengxiao Yin, Tianxiang Zhao, Jiayi Zhao, Yanfeng Sun, Junbin Gao, Youqing Wang:
Improved Attributed Graph Clustering with Representation and Structure Augmentation. IJCNN 2024: 1-8 - [c177]Pengqing Shi, Junbin Gao:
Speed-up Implicit Graph Neural Diffusion Model: A Simplified and Robust Strategy. IJCNN 2024: 1-9 - [c176]Junjie Zhang, Shaojin Wu, Junbin Gao, Fusheng Yu, Hao Xu, Zhigang Zeng:
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste. ISNN 2024: 153-162 - [c175]Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao:
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. WWW 2024: 1954-1962 - [i100]Lequan Lin, Dai Shi, Andi Han, Junbin Gao:
SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR abs/2401.08119 (2024) - [i99]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao:
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR abs/2401.14580 (2024) - [i98]Jinlu Wang, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Yachao Yang, Baocai Yin:
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations. CoRR abs/2401.15584 (2024) - [i97]Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao:
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model. CoRR abs/2403.17753 (2024) - [i96]Jiapu Wang, Zheng Cui, Boyue Wang, Shirui Pan, Junbin Gao, Baocai Yin, Wen Gao:
IME: Integrating Multi-curvature Shared and Specific Embedding for Temporal Knowledge Graph Completion. CoRR abs/2403.19881 (2024) - [i95]Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao:
ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting. CoRR abs/2404.13257 (2024) - [i94]Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao:
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. CoRR abs/2404.15899 (2024) - [i93]Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Unleash Graph Neural Networks from Heavy Tuning. CoRR abs/2405.12521 (2024) - [i92]Tengfei Liu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multi-modal Transformer for Cross-modal Long Document Classification. CoRR abs/2407.10105 (2024) - [i91]Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao:
Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. CoRR abs/2409.05047 (2024) - [i90]Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao:
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting. CoRR abs/2409.05921 (2024) - [i89]Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao:
A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR abs/2409.10085 (2024) - [i88]Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao:
When Graph Neural Networks Meet Dynamic Mode Decomposition. CoRR abs/2410.05593 (2024) - [i87]Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao:
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. CoRR abs/2410.05697 (2024) - 2023
- [j175]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Robust discriminant analysis with feature selective projection and between-classes structural incoherence. Digit. Signal Process. 134: 103896 (2023) - [j174]Yang Li, Mingyuan Bai, Qingfeng Guan, Zi Ming, Xun Liang, Gang Liu, Junbin Gao:
CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances. Int. J. Geogr. Inf. Sci. 37(10): 2175-2204 (2023) - [j173]Xia Hong, Junbin Gao, Hong Wei, James Xiao, Richard J. Mitchell:
Two-step scalable spectral clustering algorithm using landmarks and probability density estimation. Neurocomputing 519: 173-186 (2023) - [j172]Huidong Liang, Junbin Gao:
Wasserstein Adversarially Regularized Graph Autoencoder. Neurocomputing 541: 126235 (2023) - [j171]Xuebin Zheng, Bingxin Zhou, Ming Li, Yu Guang Wang, Junbin Gao:
MathNet: Haar-like wavelet multiresolution analysis for graph representation learning. Knowl. Based Syst. 273: 110609 (2023) - [j170]Yachao Yang, Yanfeng Sun, Fujiao Ju, Shaofan Wang, Junbin Gao, Baocai Yin:
Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision. Neural Networks 158: 305-317 (2023) - [j169]Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao:
Graph contrastive learning with implicit augmentations. Neural Networks 163: 156-164 (2023) - [j168]Xiaxia He, Boyue Wang, Ruikun Li, Junbin Gao, Yongli Hu, Guangyu Huo, Baocai Yin:
Graph structure learning layer and its graph convolution clustering application. Neural Networks 165: 1010-1020 (2023) - [j167]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3396-3410 (2023) - [j166]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33(3): 1797-1827 (2023) - [j165]Yi Guo, Stephen Tierney, Junbin Gao:
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. 202: 108784 (2023) - [j164]Guangyu Huo, Yong Zhang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting. IEEE Trans. Intell. Transp. Syst. 24(4): 3855-3867 (2023) - [j163]Jiapu Wang, Boyue Wang, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-Concept Representation Learning for Knowledge Graph Completion. ACM Trans. Knowl. Discov. Data 17(1): 11:1-11:19 (2023) - [j162]Guangyu Huo, Yong Zhang, Junbin Gao, Boyue Wang, Yongli Hu, Baocai Yin:
CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering. IEEE Trans. Knowl. Data Eng. 35(4): 3471-3483 (2023) - [j161]Jiapu Wang, Boyue Wang, Junbin Gao, Xiaoyan Li, Yongli Hu, Baocai Yin:
TDN: Triplet Distributor Network for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 35(12): 13002-13014 (2023) - [j160]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Nonconvex-nonconcave min-max optimization on Riemannian manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [j159]Tianhang Long, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Domain Adaptation as Optimal Transport on Grassmann Manifolds. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7196-7209 (2023) - [j158]Tengfei Liu, Yongli Hu, Boyue Wang, Yanfeng Sun, Junbin Gao, Baocai Yin:
Hierarchical Graph Convolutional Networks for Structured Long Document Classification. IEEE Trans. Neural Networks Learn. Syst. 34(10): 8071-8085 (2023) - [j157]Jie Chen, Shouzhen Chen, Mingyuan Bai, Jian Pu, Junping Zhang, Junbin Gao:
Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9859-9873 (2023) - [c174]Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao:
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML 2023: 1199-1214 - [c173]Ruikun Li, Xuliang Li, Shiying Gao, S. T. Boris Choy, Junbin Gao:
Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting. ADMA (1) 2023: 661-676 - [c172]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian Accelerated Gradient Methods via Extrapolation. AISTATS 2023: 1554-1585 - [c171]Junbin Gao, Hao Ruan, Bingrong Xu, Zhigang Zeng:
DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers. CBS 2023: 170-175 - [c170]Hao Ruan, Bingrong Xu, Junbin Gao, Lianguang Liu, Junting Lv, Yin Sheng, Zhigang Zeng:
GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network. CBS 2023: 190-195 - [c169]Kuan Yan, Junbin Gao, Dmytro Matsypura:
FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection. DSAA 2023: 1-10 - [c168]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry. GSI (1) 2023: 405-415 - [c167]Lequan Lin, Junbin Gao:
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. ICASSP 2023: 1-5 - [c166]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms (Extended abstract). ICDE 2023: 3785-3786 - [c165]Xuliang Li, Junbin Gao:
Audioset classification with Graph Convolutional Attention model. IJCNN 2023: 1-6 - [c164]Dai Shi, Andi Han, Yi Guo, Junbin Gao:
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN 2023: 1-9 - [c163]Ye Xiao, Ruikun Li, Andrey Vasnev, Junbin Gao:
Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification. IJCNN 2023: 1-8 - [c162]Zhongfan Sun, Yongli Hu, Qingqing Gao, Huajie Jiang, Junbin Gao, Yanfeng Sun, Baocai Yin:
Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA. ACM Multimedia 2023: 4065-4073 - [c161]Peggy Tang, Kun Hu, Lei Zhang, Junbin Gao, Jiebo Luo, Zhiyong Wang:
TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation. ACM Multimedia 2023: 6643-6652 - [c160]Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang:
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. SustaiNLP 2023: 227-238 - [c159]Bingxin Zhou, Yuanhong Jiang, Yuguang Wang, Jingwei Liang, Junbin Gao, Shirui Pan, Xiaoqun Zhang:
Robust Graph Representation Learning for Local Corruption Recovery. WWW 2023: 438-448 - [i86]Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao:
Diffusion Models for Time Series Applications: A Survey. CoRR abs/2305.00624 (2023) - [i85]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR abs/2305.15639 (2023) - [i84]Peggy Tang, Junbin Gao, Lei Zhang, Zhiyong Wang:
Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning. CoRR abs/2306.03415 (2023) - [i83]Hechuan Wen, Tong Chen, Li Kheng Chai, Shazia W. Sadiq, Junbin Gao, Hongzhi Yin:
Variational Counterfactual Prediction under Runtime Domain Corruption. CoRR abs/2306.13271 (2023) - [i82]Qijie Ding, Jie Yin, Daokun Zhang, Junbin Gao:
Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment. CoRR abs/2307.02075 (2023) - [i81]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i80]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i79]Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao:
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR abs/2309.02769 (2023) - [i78]Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao:
Bregman Graph Neural Network. CoRR abs/2309.06645 (2023) - [i77]Andi Han, Dai Shi, Lequan Lin, Junbin Gao:
From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR abs/2310.10121 (2023) - [i76]Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao:
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR abs/2311.07073 (2023) - 2022
- [j156]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) - [j155]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) - [j154]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) - [j153]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) - [j152]Yachao Yang, Fujiao Ju, Yanfeng Sun, Junbin Gao, Baocai Yin:
Adversarially regularized joint structured clustering network. Inf. Sci. 615: 136-151 (2022) - [j151]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) - [j150]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) - [j149]Renlong Jie, Junbin Gao, Andrey Vasnev, Minh-Ngoc Tran:
Adaptive hierarchical hyper-gradient descent. Int. J. Mach. Learn. Cybern. 13(12): 3785-3805 (2022) - [j148]Zheng Cui, Yongli Hu, Yanfeng Sun, Junbin Gao, Baocai Yin:
Cross-modal alignment with graph reasoning for image-text retrieval. Multim. Tools Appl. 81(17): 23615-23632 (2022) - [j147]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding graphs on Grassmann manifold. Neural Networks 152: 322-331 (2022) - [j146]Jiayi Zhao, Jipeng Guo, Yanfeng Sun, Junbin Gao, Shaofan Wang, Baocai Yin:
Adaptive graph convolutional clustering network with optimal probabilistic graph. Neural Networks 156: 271-284 (2022) - [j145]Andi Han, Junbin Gao:
Improved Variance Reduction Methods for Riemannian Non-Convex Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7610-7623 (2022) - [j144]Fa Zhu, Junbin Gao, Jian Yang, Ning Ye:
Neighborhood linear discriminant analysis. Pattern Recognit. 123: 108422 (2022) - [j143]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) - [j142]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) - [j141]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) - [j140]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization. IEEE Trans. Image Process. 31: 7191-7205 (2022) - [j139]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) - [j138]Yanfeng Sun, Xiangheng Jiang, Yongli Hu, Fuqing Duan, Kan Guo, Boyue Wang, Junbin Gao, Baocai Yin:
Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 23(12): 23680-23693 (2022) - [j137]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) - [j136]Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 33(7): 3157-3170 (2022) - [j135]Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5681-5693 (2022) - [c158]Huidong Liang, Junbin Gao:
How Neural Processes Improve Graph Link Prediction. ICASSP 2022: 3543-3547 - [c157]Mingyuan Bai, Jie Chen, Qibin Zhao, Chao Li, Junping Zhang, Junbin Gao:
Tensor Neural Controlled Differential Equations. IJCNN 2022: 1-9 - [c156]Yongli Hu, Wen Ding, Tengfei Liu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Hierarchical Multiple Granularity Attention Network for Long Document Classification. IJCNN 2022: 1-7 - [c155]Jiayi Zhao, Yanfeng Sun, Jipeng Guo, Junbin Gao, Baocai Yin:
Robust Graph Convolutional Clustering With Adaptive Graph Learning. IJCNN 2022: 1-8 - [c154]Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang:
OTExtSum: Extractive Text Summarisation with Optimal Transport. NAACL-HLT (Findings) 2022: 1128-1141 - [c153]Siying Zhang, Andi Han, Junbin Gao:
Robust Denoising in Graph Neural Networks. SSCI 2022: 1088-1095 - [c152]Ye Xiao, Junbin Gao:
Kernel Matrix-based Spd Representation For Graph Learning. SSCI 2022: 1291-1297 - [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 - [i75]Mengxi Yang, Xuebin Zheng, Jie Yin, Junbin Gao:
Quasi-Framelets: Another Improvement to GraphNeural Networks. CoRR abs/2201.04728 (2022) - [i74]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) - [i73]Peggy Tang, Kun Hu, Rui Yan, Lei Zhang, Junbin Gao, Zhiyong Wang:
OTExtSum: Extractive Text Summarisation with Optimal Transport. CoRR abs/2204.10086 (2022) - [i72]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR abs/2204.11418 (2022) - [i71]Chunya Zou, Andi Han, Lequan Lin, Junbin Gao:
A Simple Yet Effective SVD-GCN for Directed Graphs. CoRR abs/2205.09335 (2022) - [i70]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Differentially private Riemannian optimization. CoRR abs/2205.09494 (2022) - [i69]Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao:
Embedding Graphs on Grassmann Manifold. CoRR abs/2205.15068 (2022) - [i68]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) - [i67]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Junbin Gao:
Riemannian accelerated gradient methods via extrapolation. CoRR abs/2208.06619 (2022) - [i66]Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao:
Generalized energy and gradient flow via graph framelets. CoRR abs/2210.04124 (2022) - [i65]Jie Chen, Shouzhen Chen, Mingyuan Bai, Junbin Gao, Junping Zhang, Jian Pu:
SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP. CoRR abs/2210.09609 (2022) - [i64]Lequan Lin, Junbin Gao:
A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. CoRR abs/2210.10993 (2022) - [i63]Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao:
Generalized Laplacian Regularized Framelet GCNs. CoRR abs/2210.15092 (2022) - [i62]Huidong Liang, Xingjian Du, Bilei Zhu, Zejun Ma, Ke Chen, Junbin Gao:
Graph Contrastive Learning with Implicit Augmentations. CoRR abs/2211.03710 (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, Shafiullah Soomro, Gulsher 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]Tianhang Long, Junbin Gao, Mingyan Yang, Yongli Hu, Baocai Yin:
Locality Preserving Projection via Deep Neural Network. IJCNN 2019: 1-8 - [i42]Manjing Fang, Di Xu, Xia Hong, Junbin Gao:
Sparse Least Squares Low Rank Kernel Machines. CoRR abs/1901.10098 (2019) - [i41]Bingxin Zhou, Junbin Gao, Minh-Ngoc Tran, Richard Gerlach:
Manifold Optimisation Assisted Gaussian Variational Approximation. CoRR abs/1902.03718 (2019) - [i40]Chengkun Zhang, Junbin Gao, Stephen Lu:
Cluster Developing 1-Bit Matrix Completion. CoRR abs/1904.03779 (2019) - [i39]Darren Yates, Md Zahidul Islam, Junbin Gao:
DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets. CoRR abs/1906.03773 (2019) - [i38]Ming Yin, Weitian Huang, Junbin Gao:
Shared Generative Latent Representation Learning for Multi-view Clustering. CoRR abs/1907.09747 (2019) - [i37]Mingyuan Bai, S. T. Boris Choy, Xin Song, Junbin Gao:
Tensor-Train Parameterization for Ultra Dimensionality Reduction. CoRR abs/1908.04924 (2019) - [i36]Di Xu, Tianhang Long, Junbin Gao:
LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering. CoRR abs/1910.08862 (2019) - [i35]Yang Li, Gang Liu, Junbin Gao, Zhenwen He, Mingyuan Bai, Chengjun Li:
Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams. CoRR abs/1911.02788 (2019) - [i34]Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang:
Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR abs/1911.06905 (2019) - 2018
- [j88]Toufique Ahmed Soomro, Tariq Mahmood Khan, Mohammad A. U. Khan, Junbin Gao, Manoranjan Paul, Lihong Zheng:
Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation. IEEE Access 6: 3524-3538 (2018) - [j87]Chunyan Xu, Jian Yang, Junbin Gao, Hanjiang Lai, Shuicheng Yan:
SRNN: Self-regularized neural network. Neurocomputing 273: 260-270 (2018) - [j86]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning. Neurocomputing 291: 59-70 (2018) - [j85]Muhammad Ali, Junbin Gao:
Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data. Neurocomputing 295: 72-85 (2018) - [j84]Ming Yin, Zongze Wu, Daming Shi, Junbin Gao, Shengli Xie:
Locally adaptive sparse representation on Riemannian manifolds for robust classification. Neurocomputing 310: 69-76 (2018) - [j83]Wei Zheng, Chunyan Xu, Jian Yang, Junbin Gao, Fa Zhu:
Low-rank structure preserving for unsupervised feature selection. Neurocomputing 314: 360-370 (2018) - [j82]Ming Yin, Deyu Zeng, Junbin Gao, Zongze Wu, Shengli Xie:
Robust Multinomial Logistic Regression Based on RPCA. IEEE J. Sel. Top. Signal Process. 12(6): 1144-1154 (2018) - [j81]Na Qi, Yunhui Shi, Xiaoyan Sun, Jingdong Wang, Baocai Yin, Junbin Gao:
Multi-Dimensional Sparse Models. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 163-178 (2018) - [j80]Lin Wu, Yang Wang, Junbin Gao, Xue Li:
Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recognit. 73: 275-288 (2018) - [j79]Boyue Wang, Yongli Hu, Junbin Gao, Muhammad Ali, David Tien, Yanfeng Sun, Baocai Yin:
Low Rank Representation on SPD matrices with Log-Euclidean metric. Pattern Recognit. 76: 623-634 (2018) - [j78]Lin Wu, Yang Wang, Xue Li, Junbin Gao:
What-and-where to match: Deep spatially multiplicative integration networks for person re-identification. Pattern Recognit. 76: 727-738 (2018) - [j77]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Localized LRR on Grassmann Manifold: An Extrinsic View. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2524-2536 (2018) - [j76]Zhenyu Zhang, Chunyan Xu, Jian Yang, Junbin Gao, Zhen Cui:
Progressive Hard-Mining Network for Monocular Depth Estimation. IEEE Trans. Image Process. 27(8): 3691-3702 (2018) - [j75]Ming Yin, Shengli Xie, Zongze Wu, Yun Zhang, Junbin Gao:
Subspace Clustering via Learning an Adaptive Low-Rank Graph. IEEE Trans. Image Process. 27(8): 3716-3728 (2018) - [j74]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. ACM Trans. Knowl. Discov. Data 12(1): 13:1-13:22 (2018) - [j73]Fa Zhu, Junbin Gao, Chunyan Xu, Jian Yang, Dacheng Tao:
On Selecting Effective Patterns for Fast Support Vector Regression Training. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3610-3622 (2018) - [j72]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4579-4592 (2018) - [j71]Yang Wang, Lin Wu, Xuemin Lin, Junbin Gao:
Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4833-4843 (2018) - [c123]Xiangjie Hu, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Locality Preserving Projection Based on F-norm. AAAI 2018: 1330-1337 - [c122]Darren Yates, Md Zahidul Islam, Junbin Gao:
SPAARC: A Fast Decision Tree Algorithm. AusDM 2018: 43-55 - [c121]Darren Yates, Md Zahidul Islam, Junbin Gao:
Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones. AusDM 2018: 331-343 - [c120]Toufique Ahmed Soomro, Junbin Gao, Lihong Zheng, Ahmed J. Afifi, Shafiullah Soomro, Manoranjan Paul:
Retinal Blood Vessels Extraction of Challenging Images. AusDM 2018: 347-359 - [c119]Toufique Ahmed Soomro, Olaf Hellwich, Ahmed J. Afifi, Manoranjan Paul, Junbin Gao, Lihong Zheng:
Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss. DICTA 2018: 1-8 - [c118]Gengxing Wang, Wenxiong Kang, Qiuxia Wu, Zhiyong Wang, Junbin Gao:
Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition. DICTA 2018: 1-7 - [c117]Sharmin Jahan, Mozammel Chowdhury, Rafiqul Islam, Junbin Gao:
Security and Privacy Protection for eHealth Data. FNSS 2018: 197-205 - [c116]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds. IJCAI 2018: 2755-2761 - [c115]Xin Song, Xinwei Jiang, Junbin Gao, Zhihua Cai, Xia Hong:
Functional Locality Preserving Projection for Dimensionality Reduction. IJCNN 2018: 1-7 - [c114]Yanfei Zhang, Rohitash Chandra, Junbin Gao:
Cyclone Track Prediction with Matrix Neural Networks. IJCNN 2018: 1-8 - [c113]Xinwei Jiang, Junbin Gao, Xiaobo Liu, Zhihua Cai, Dongmei Zhang, Yuanxing Liu:
Shared Deep Kernel Learning for Dimensionality Reduction. PAKDD (3) 2018: 297-308 - [c112]Meilu Zhu, Daming Shi, Songkui Chen, Junbin Gao:
Branched Convolutional Neural Networks for Face Alignment. PCM (3) 2018: 291-302 - [c111]Mozammel Chowdhury, Sharmin Jahan, Rafiqul Islam, Junbin Gao:
Malware Detection for Healthcare Data Security. SecureComm (2) 2018: 407-416 - [i33]Lin Wu, Yang Wang, Junbin Gao, Dacheng Tao:
Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification. CoRR abs/1804.11027 (2018) - [i32]Lin Wu, Yang Wang, Junbin Gao, Xue Li:
Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification. CoRR abs/1808.01911 (2018) - [i31]Wei Wu, Bin Li, Ling Chen, Junbin Gao, Chengqi Zhang:
A Review for Weighted MinHash Algorithms. CoRR abs/1811.04633 (2018) - 2017
- [j70]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Robust human detection and localization in security applications. Concurr. Comput. Pract. Exp. 29(23) (2017) - [j69]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48(10): 2195-2201 (2017) - [j68]Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu, Sheng Xu, Cong Gao:
Finding the samples near the decision plane for support vector learning. Inf. Sci. 382-383: 292-307 (2017) - [j67]Xinwei Jiang, Xiaoping Fang, Zhikun Chen, Junbin Gao, Junjun Jiang, Zhihua Cai:
Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 14(10): 1760-1764 (2017) - [j66]Toufique Ahmed Soomro, Junbin Gao, Tariq Mahmood Khan, Ahmad Fadzil M. Hani, Mohammad A. U. Khan, Manoranjan Paul:
Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey. Pattern Anal. Appl. 20(4): 927-961 (2017) - [j65]Daming Shi, Jun Wang, Dansong Cheng, Junbin Gao:
A global-local affinity matrix model via EigenGap for graph-based subspace clustering. Pattern Recognit. Lett. 89: 67-72 (2017) - [j64]Toufique Ahmed Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq Mahmood Khan, Manoranjan Paul:
Contrast normalization steps for increased sensitivity of a retinal image segmentation method. Signal Image Video Process. 11(8): 1509-1517 (2017) - [j63]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance. IEEE Trans. Circuits Syst. Video Technol. 27(3): 554-566 (2017) - [j62]Feng Li, Lei Xin, Yi Guo, Junbin Gao, Xiuping Jia:
A Framework of Mixed Sparse Representations for Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 55(2): 1210-1221 (2017) - [j61]Qiegen Liu, Guangpu Shao, Yuhao Wang, Junbin Gao, Henry Leung:
Log-Euclidean Metrics for Contrast Preserving Decolorization. IEEE Trans. Image Process. 26(12): 5772-5783 (2017) - [j60]Xia Hong, Junbin Gao, Sheng Chen:
Zero-Attracting Recursive Least Squares Algorithms. IEEE Trans. Veh. Technol. 66(1): 213-221 (2017) - [c110]Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng:
Low-Rank-Sparse Subspace Representation for Robust Regression. CVPR 2017: 2972-2981 - [c109]Qiong Wang, Junbin Gao, Hong Li:
Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering. CVPR 2017: 3145-3153 - [c108]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Fujiao Ju:
L1-2DPCA Revisit via Optimization on Product Manifolds. DICTA 2017: 1-7 - [c107]Toufique Ahmed Soomro, Ahmed J. Afifi, Junbin Gao, Olaf Hellwich, Mohammad A. U. Khan, Manoranjan Paul, Lihong Zheng:
Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network. DICTA 2017: 1-8 - [c106]Toufique Ahmed Soomro, Manoranjan Paul, Junbin Gao, Lihong Zheng:
Retinal blood vessel extraction method based on basic filtering schemes. ICIP 2017: 4422-4426 - [c105]Peitao Wang, Zhaoshui He, Kan Xie, Junbin Gao, Michael Antolovich:
A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation. ICONIP (1) 2017: 240-247 - [c104]Mingyuan Bai, Boyan Zhang, Junbin Gao:
Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis. ICONIP (2) 2017: 562-571 - [c103]Yanfei Zhang, Junbin Gao:
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. ICONIP (1) 2017: 912-921 - [c102]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Muhammad Ali, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. IJCAI 2017: 2893-2900 - [c101]Simeng Liu, Yanfeng Sun, Yongli Hu, Junbin Gao, Fujiao Ju, Baocai Yin:
Matrix variate RBM model with Gaussian distributions. IJCNN 2017: 808-815 - [c100]Junbin Gao, Yi Guo, Zhiyong Wang:
Matrix Neural Networks. ISNN (1) 2017: 313-320 - [c99]Mozammel Chowdhury, Rafiqul Islam, Junbin Gao:
Fast and Robust Biometric Authentication Scheme Using Human Ear. ATCS/SePrIoT@SecureComm 2017: 133-144 - [i30]Stephen Tierney, Yi Guo, Junbin Gao:
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering. CoRR abs/1704.03958 (2017) - [i29]Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang:
Tractable Clustering of Data on the Curve Manifold. CoRR abs/1704.03963 (2017) - [i28]Stephen Tierney, Yi Guo, Junbin Gao:
Collaborative Low-Rank Subspace Clustering. CoRR abs/1704.03966 (2017) - [i27]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Haoran Chen, Baocai Yin:
Locality Preserving Projections for Grassmann manifold. CoRR abs/1704.08458 (2017) - [i26]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Localized LRR on Grassmann Manifolds: An Extrinsic View. CoRR abs/1705.06599 (2017) - [i25]Yanfei Zhang, Junbin Gao:
Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem. CoRR abs/1706.02899 (2017) - [i24]Lin Wu, Yang Wang, Junbin Gao, Xue Li:
Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification. CoRR abs/1706.03160 (2017) - [i23]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference. CoRR abs/1707.00380 (2017) - [i22]Lin Wu, Yang Wang, Xue Li, Junbin Gao:
What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification. CoRR abs/1707.07074 (2017) - [i21]Mingyuan Bai, Boyan Zhang, Junbin Gao:
Tensorial Recurrent Neural Networks for Longitudinal Data Analysis. CoRR abs/1708.00185 (2017) - 2016
- [j59]Jun Wang, Daming Shi, Dansong Cheng, Yongqiang Zhang, Junbin Gao:
LRSR: Low-Rank-Sparse representation for subspace clustering. Neurocomputing 214: 1026-1037 (2016) - [j58]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Nonparametric tensor dictionary learning with beta process priors. Neurocomputing 218: 120-130 (2016) - [j57]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 476-489 (2016) - [j56]Ming Yin, Junbin Gao, Zhouchen Lin:
Laplacian Regularized Low-Rank Representation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 38(3): 504-517 (2016) - [j55]Fa Zhu, Jian Yang, Junbin Gao, Chunyan Xu:
Extended nearest neighbor chain induced instance-weights for SVMs. Pattern Recognit. 60: 863-874 (2016) - [j54]Jun-Liang Dong, Junbin Gao, Fujiao Ju, Jinghua Shen:
Modulus Methods for Nonnegatively Constrained Image Restoration. SIAM J. Imaging Sci. 9(3): 1226-1246 (2016) - [j53]Chunyan Xu, Canyi Lu, Xiaodan Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan:
Multi-loss Regularized Deep Neural Network. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2273-2283 (2016) - [j52]Fei Wu, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Ordered Subspace Clustering With Block-Diagonal Priors. IEEE Trans. Cybern. 46(12): 3209-3219 (2016) - [j51]Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, Xia Hong:
Tensor LRR and Sparse Coding-Based Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(10): 2120-2133 (2016) - [c98]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Product Grassmann Manifold Representation and Its LRR Models. AAAI 2016: 2122-2129 - [c97]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu, Baocai Yin:
Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis. CVPR 2016: 4462-4470 - [c96]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR 2016: 5157-5164 - [c95]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization. CVPR 2016: 5877-5886 - [c94]Muhammad Ali, Junbin Gao, Michael Antolovich:
MLE-Based Learning on Grassmann Manifolds. DICTA 2016: 1-7 - [c93]Toufique Ahmed Soomro, Junbin Gao, Mohammad A. U. Khan, Tariq Mahmood Khan, Manoranjan Paul:
Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy. DICTA 2016: 1-8 - [c92]Toufique Ahmed Soomro, Mohammad A. U. Khan, Junbin Gao, Tariq Mahmood Khan, Manoranjan Paul, Nighat Mir:
Automatic Retinal Vessel Extraction Algorithm. DICTA 2016: 1-8 - [c91]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Fuzzy logic based filtering for image de-noising. FUZZ-IEEE 2016: 2372-2376 - [c90]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Detection of Human Faces Using Neural Networks. ICONIP (2) 2016: 690-698 - [c89]Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate Restricted Boltzmann Machine. IJCNN 2016: 389-395 - [c88]Toufique Ahmed Soomro, Junbin Gao:
Neural network based denoised methods for retinal fundus images and MRI brain images. IJCNN 2016: 1151-1157 - [c87]Xia Hong, Junbin Gao:
Manifold optimization for nonnegative coefficient logistic regression. IJCNN 2016: 1762-1766 - [c86]Xinwei Jiang, Xin Song, Junbin Gao, Zhihua Cai, Dongmei Zhang:
Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction. IJCNN 2016: 3378-3384 - [c85]Muhammad Ali, Junbin Gao, Michael Antolovich:
Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions. IJCNN 2016: 3751-3757 - [c84]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Fuzzy rule based approach for face and facial feature extraction in biometric authentication. IVCNZ 2016: 1-5 - [c83]Mohammad A. U. Khan, Toufique Ahmed Soomro, Tariq Mahmood Khan, Donald G. Bailey, Junbin Gao, Nighat Mir:
Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes. IVCNZ 2016: 1-5 - [c82]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Biometric Authentication Using Facial Recognition. SecureComm 2016: 287-295 - [c81]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Distance Measurement of Objects using Stereo Vision. SETN 2016: 33:1-33:4 - [c80]Xia Hong, Junbin Gao:
A Fast Algorithm to Estimate the Square Root of Probability Density Function. SGAI Conf. 2016: 165-176 - [i20]Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie:
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR abs/1601.00414 (2016) - [i19]Guanglei Qi, Yanfeng Sun, Junbin Gao, Yongli Hu, Jinghua Li:
Matrix Variate RBM and Its Applications. CoRR abs/1601.00722 (2016) - [i18]Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang:
Low-Rank Representation over the Manifold of Curves. CoRR abs/1601.00732 (2016) - [i17]Fujiao Ju, Yanfeng Sun, Junbin Gao, Simeng Liu, Yongli Hu:
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis. CoRR abs/1601.01431 (2016) - [i16]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Kernelized LRR on Grassmann Manifolds for Subspace Clustering. CoRR abs/1601.02124 (2016) - [i15]Junbin Gao, Yi Guo, Zhiyong Wang:
Matrix Neural Networks. CoRR abs/1601.03805 (2016) - [i14]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds. CoRR abs/1601.05613 (2016) - [i13]Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang:
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR abs/1601.07336 (2016) - [i12]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance. CoRR abs/1606.03838 (2016) - [i11]Ming Yin, Junbin Gao, Shengli Xie, Yi Guo:
Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR abs/1608.08336 (2016) - [i10]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications. CoRR abs/1609.06434 (2016) - 2015
- [j50]Ming Yin, Junbin Gao, Daming Shi, Shuting Cai:
Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models. Circuits Syst. Signal Process. 34(7): 2237-2254 (2015) - [j49]Ming Yin, Junbin Gao, Shuting Cai:
Image super-resolution via 2D tensor regression learning. Comput. Vis. Image Underst. 132: 12-23 (2015) - [j48]Yi Guo, Junbin Gao, Feng Li:
Random spatial subspace clustering. Knowl. Based Syst. 74: 106-118 (2015) - [j47]Fengna Wang, Hichem Sahli, Junbin Gao, Dongmei Jiang, Werner Verhelst:
Relevance units machine based dimensional and continuous speech emotion prediction. Multim. Tools Appl. 74(22): 9983-10000 (2015) - [j46]Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao:
Relations Among Some Low-Rank Subspace Recovery Models. Neural Comput. 27(9): 1915-1950 (2015) - [j45]Chunyan Xu, Canyi Lu, Junbin Gao, Tianjiang Wang, Shuicheng Yan:
Facial Analysis With a Lie Group Kernel. IEEE Trans. Circuits Syst. Video Technol. 25(7): 1140-1150 (2015) - [j44]Chunyan Xu, Canyi Lu, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan:
Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups. IEEE Trans. Circuits Syst. Video Technol. 25(10): 1576-1585 (2015) - [j43]Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris:
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. 45(12): 2925-2936 (2015) - [j42]Fujiao Ju, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA. IEEE Trans. Image Process. 24(12): 4834-4846 (2015) - [j41]Ming Yin, Junbin Gao, Zhouchen Lin, Qinfeng Shi, Yi Guo:
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering. IEEE Trans. Image Process. 24(12): 4918-4933 (2015) - [j40]Xia Hong, Junbin Gao, Sheng Chen, Tanveer A. Zia:
Sparse Density Estimation on the Multinomial Manifold. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2972-2977 (2015) - [c79]Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Junbin Gao, Fuyuan Hu, Zhen Zhang:
Learning graph structure for multi-label image classification via clique generation. CVPR 2015: 4100-4109 - [c78]Stephen Tierney, Yi Guo, Junbin Gao:
Selective Multi-Source Total Variation Image Restoration. DICTA 2015: 1-8 - [c77]Yifan Fu, Junbin Gao, Xingquan Zhu:
Active Class Discovery by Querying Pairwise Label Homogeneity. ICDS 2015: 135-140 - [c76]Toufique Ahmed Soomro, Junbin Gao:
Study of the Noise Level in the Colour Fundus Images. ICDS 2015: 159-168 - [c75]Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin:
Low rank sequential subspace clustering. IJCNN 2015: 1-8 - [c74]Xia Hong, Junbin Gao:
Sparse density estimation on multinomial manifold combining local component analysis. IJCNN 2015: 1-7 - [c73]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices. SDM 2015: 316-324 - [c72]Mozammel Chowdhury, Junbin Gao, Morshed U. Chowdhury:
Image Spam Classification Using Neural Network. SecureComm 2015: 622-632 - [c71]Mozammel Chowdhury, Junbin Gao, Rafiqul Islam:
Human Surveillance System for Security Application. SecureComm 2015: 711-724 - [c70]Md. Musfequs Salehin, Lihong Zheng, Junbin Gao:
Conics Detection Method based on Pascal's Theorem. VISAPP (1) 2015: 491-497 - [i9]Mingkui Tan, Shijie Xiao, Junbin Gao, Dong Xu, Anton van den Hengel, Qinfeng Shi:
Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient. CoRR abs/1503.02828 (2015) - [i8]Yanfeng Sun, Junbin Gao, Xia Hong, Bamdev Mishra, Baocai Yin:
Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization. CoRR abs/1504.01777 (2015) - [i7]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Kernelized Low Rank Representation on Grassmann Manifolds. CoRR abs/1504.01806 (2015) - [i6]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective. CoRR abs/1504.01807 (2015) - [i5]Stephen Tierney, Yi Guo, Junbin Gao:
Segmentation of Subspaces in Sequential Data. CoRR abs/1504.04090 (2015) - [i4]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Low Rank Representation on Riemannian Manifold of Square Root Densities. CoRR abs/1508.04198 (2015) - [i3]Xia Hong, Sheng Chen, Yi Guo, Junbin Gao:
l1-norm Penalized Orthogonal Forward Regression. CoRR abs/1509.01323 (2015) - [i2]Haoran Chen, Yanfeng Sun, Junbin Gao, Yongli Hu:
Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation. CoRR abs/1512.01927 (2015) - 2014
- [j39]Lizhi Cui, Zhihao Ling, Josiah Poon, Simon K. Poon, Junbin Gao, Paul Wing Hing Kwan:
A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization. Appl. Comput. Intell. Soft Comput. 2014: 276741:1-276741:10 (2014) - [j38]Lizhi Cui, Josiah Poon, Simon K. Poon, Hao Chen, Junbin Gao, Paul Wing Hing Kwan, Kei Fan, Zhihao Ling:
An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm. BMC Bioinform. 15(S-12): S8 (2014) - [j37]Yi Guo, Mark Berman, Junbin Gao:
Group subset selection for linear regression. Comput. Stat. Data Anal. 75: 39-52 (2014) - [j36]Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris:
Fast identification algorithms for Gaussian process model. Neurocomputing 133: 25-31 (2014) - [j35]Risheng Liu, Zhouchen Lin, Zhixun Su, Junbin Gao:
Linear time Principal Component Pursuit and its extensions using ℓ1 filtering. Neurocomputing 142: 529-541 (2014) - [j34]Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao:
Robust latent low rank representation for subspace clustering. Neurocomputing 145: 369-373 (2014) - [j33]Ming Yin, Junbin Gao, David Tien, Shuting Cai:
Blind image deblurring via coupled sparse representation. J. Vis. Commun. Image Represent. 25(5): 814-821 (2014) - [j32]Bin Tong, Junbin Gao, Thach Huy Nguyen, Hao Shao, Einoshin Suzuki:
Transfer dimensionality reduction by Gaussian process in parallel. Knowl. Inf. Syst. 38(3): 567-597 (2014) - [j31]Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, Junbin Gao:
Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling. Sensors 14(12): 23137-23158 (2014) - [j30]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Daming Shi:
TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines. IEEE Trans. Cybern. 44(10): 1795-1807 (2014) - [j29]Chunyan Xu, Tianjiang Wang, Junbin Gao, Shougang Cao, Wenbing Tao, Fang Liu:
An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold. IEEE Trans. Neural Networks Learn. Syst. 25(4): 728-737 (2014) - [j28]Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris:
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1673-1685 (2014) - [c69]Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin:
Low Rank Representation on Grassmann Manifolds. ACCV (1) 2014: 81-96 - [c68]Lizhi Cui, Josiah Poon, Simon K. Poon, Paul Wing Hing Kwan, Junbin Gao, Zhihao Ling:
Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization. BIBM 2014: 26-29 - [c67]Stephen Tierney, Junbin Gao, Yi Guo:
Subspace Clustering for Sequential Data. CVPR 2014: 1019-1026 - [c66]Geoff Bull, Junbin Gao, Michael Antolovich:
Image Segmentation Using Dictionary Learning and Compressed Random Features. DICTA 2014: 1-8 - [c65]Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang:
Image Segmentation Based on Spatially Coherent Gaussian Mixture Model. DICTA 2014: 1-6 - [c64]Stephen Tierney, Junbin Gao, Yi Guo:
The W-Penalty and Its Application to Alpha Matting with Sparse Labels. DICTA 2014: 1-7 - [c63]Stephen Tierney, Junbin Gao, Yi Guo:
Affinity Pansharpening and Image Fusion. DICTA 2014: 1-8 - [c62]Ming Yin, Junbin Gao, Yanfeng Sun, Shuting Cai:
Blocky artifact removal with low-rank matrix recovery. ICASSP 2014: 1996-2000 - [c61]Yifan Fu, Junbin Gao, Xia Hong, David Tien:
Tensor Regression Based on Linked Multiway Parameter Analysis. ICDM 2014: 821-826 - [c60]Adrian Letchford, Junbin Gao, Lihong Zheng:
Smoothing Security Prices. ICPR 2014: 1037-1042 - [c59]Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris:
Dimensionality reduction assisted tensor clustering. IJCNN 2014: 1565-1572 - [c58]Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin:
Tensor LRR based subspace clustering. IJCNN 2014: 1877-1884 - [c57]Guangpu Shao, Junbin Gao, Tianjiang Wang, Fang Liu, Yucheng Shu, Yong Yang:
Fuzzy c-means clustering with a new regularization term for image segmentation. IJCNN 2014: 2862-2869 - [c56]Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong:
Joint multiple dictionary learning for Tensor sparse coding. IJCNN 2014: 2957-2964 - [c55]Ming Yin, Yi Guo, Junbin Gao:
Linear Subspace Learning via sparse dimension reduction. IJCNN 2014: 3540-3547 - [c54]Xinwei Jiang, Junbin Gao, Xia Hong, Zhihua Cai:
Gaussian Processes Autoencoder for Dimensionality Reduction. PAKDD (2) 2014: 62-73 - [c53]Geoff Bull, Junbin Gao, Michael Antolovich:
Rock Fragment Boundary Detection Using Compressed Random Features. VISIGRAPP (Selected Papers) 2014: 273-286 - [c52]Geoff Bull, Junbin Gao, Michael Antolovich:
Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features. VISAPP (1) 2014: 394-401 - [i1]Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao:
Relations among Some Low Rank Subspace Recovery Models. CoRR abs/1412.2196 (2014) - 2013
- [j27]Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris:
Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing 122: 210-220 (2013) - [j26]Adrian Letchford, Junbin Gao, Lihong Zheng:
Filtering financial time series by least squares. Int. J. Mach. Learn. Cybern. 4(2): 149-154 (2013) - [j25]Dansong Cheng, Minh Nhut Nguyen, Junbin Gao, Daming Shi:
On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning. Neural Networks 48: 173-179 (2013) - [j24]Daming Shi, Junbin Gao, Payam S. Rahmdel, Michael Antolovich, Tony Clark:
UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection. IEEE Trans. Image Process. 22(6): 2500-2505 (2013) - [c51]Yi Guo, Junbin Gao, Yanfeng Sun:
Endmember Extraction by Exemplar Finder. ADMA (2) 2013: 501-512 - [c50]Lizhi Cui, Josiah Poon, Simon K. Poon, Kei Fan, Hao Chen, Junbin Gao, Paul Wing Hing Kwan, Zhihao Ling:
Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm. BIBM 2013: 27-28 - [c49]Stephen Tierney, Geoff Bull, Junbin Gao:
Image Matting for Sparse User Input by Iterative Refinement. DICTA 2013: 1-7 - [c48]Xia Hong, Yi Guo, Sheng Chen, Junbin Gao:
Sparse model construction using coordinate descent optimization. DSP 2013: 1-6 - [c47]Junbin Gao, Yi Guo, Ming Yin:
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP 2013: 499-503 - [c46]Ming Yin, Shuting Cai, Junbin Gao:
Robust face recognition via double low-rank matrix recovery for feature extraction. ICIP 2013: 3770-3774 - [c45]Yi Guo, Junbin Gao, Feng Li:
Large scale hyperspectral data segmentation by random spatial subspace clustering. IGARSS 2013: 3487-3490 - [c44]Yi Guo, Junbin Gao, Feng Li:
Dimensionality Reduction with Dimension Selection. PAKDD (1) 2013: 508-519 - 2012
- [j23]Junbin Gao, Qinfeng Shi, Tibério S. Caetano:
Dimensionality reduction via compressive sensing. Pattern Recognit. Lett. 33(9): 1163-1170 (2012) - [j22]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Lihong Zheng:
Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1620-1632 (2012) - [c43]Yi Guo, Junbin Gao, Xia Hong:
Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence 2012: 433-444 - [c42]Geoff Bull, Junbin Gao:
Transposed Low Rank Representation for Image Classification. DICTA 2012: 1-7 - [c41]Stephen Tierney, Junbin Gao:
Natural Image Matting with Total Variation Regularisation. DICTA 2012: 1-8 - [c40]Manoranjan Paul, Junbin Gao, Michael Antolovich:
3D motion estimation for 3D video coding. ICASSP 2012: 1189-1192 - [c39]Junbin Gao, Manoranjan Paul, Jun Liu:
The Image Matting Method with Regularized Matte. ICME 2012: 550-555 - [c38]Xinwei Jiang, Junbin Gao, Daming Shi, Tianjiang Wang:
Thin Plate Spline Latent Variable Models for dimensionality reduction. IJCNN 2012: 1-8 - [c37]Adrian Letchford, Junbin Gao, Lihong Zheng:
Optimizing the moving average. IJCNN 2012: 1-8 - [c36]Md. Geaur Rahman, Md Zahidul Islam, Terry Bossomaier, Junbin Gao:
CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection. IJCNN 2012: 1-10 - 2011
- [j21]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:
A novel approach in discovering significant interactions from TCM patient prescription data. Int. J. Data Min. Bioinform. 5(4): 353-368 (2011) - [j20]Paul Wing Hing Kwan, Keisuke Kameyama, Junbin Gao, Kazuo Toraichi:
Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. Int. J. Pattern Recognit. Artif. Intell. 25(5): 643-673 (2011) - [c35]Adrian Letchford, Junbin Gao, Lihong Zheng:
Penalized Least Squares for Smoothing Financial Time Series. Australasian Conference on Artificial Intelligence 2011: 72-81 - [c34]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:
Analysis of herbal formulation in TCM: Infertility as a case study. BIBM Workshops 2011: 868-872 - [c33]Geoff Bull, Junbin Gao:
Classification of Hand-Written Digits Using Chordiograms. DICTA 2011: 358-363 - [c32]Junbin Gao:
Image Matting via Local Tangent Space Alignment. DICTA 2011: 614-619 - [c31]Junbin Gao:
Multi-task beta process sparse kernel machines. IJCNN 2011: 153-158 - [c30]Yi Guo, Junbin Gao:
Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) 2011: 544-554 - [c29]Fenglu Ge, Wayne Moore, Michael Antolovich, Junbin Gao:
Application of Learning from Demonstration to a Mining Tunnel Inspection Robot. RVSP 2011: 32-35 - [c28]Bin Tong, Junbin Gao, Thach Huy Nguyen, Einoshin Suzuki:
Gaussian Process for Dimensionality Reduction in Transfer Learning. SDM 2011: 783-794 - 2010
- [j19]Paul Wing Hing Kwan, Junbin Gao, Yi Guo, Keisuke Kameyama:
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. 24(1): 15-38 (2010) - [j18]Junbin Gao, Paul Wing Hing Kwan, Daming Shi:
Sparse kernel learning with LASSO and Bayesian inference algorithm. Neural Networks 23(2): 257-264 (2010) - [j17]Junbin Gao, Jun Zhang, David Tien:
Relevance units latent variable model and nonlinear dimensionality reduction. IEEE Trans. Neural Networks 21(1): 123-135 (2010) - [c27]Lennon V. Cook, Junbin Gao:
Dimensionality Reduction for Classification through Visualisation Using L1SNE. Australasian Conference on Artificial Intelligence 2010: 204-212 - [c26]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:
Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia. BIBM Workshops 2010: 620-624 - [c25]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:
Studying herb-herb interaction for insomnia through the theory of complementarities. BIBM Workshops 2010: 722-726 - [c24]Lihong Zheng, Junbin Gao, Xiangjian He:
Efficient character segmentation on car license plates. ICARCV 2010: 1139-1144 - [c23]Xinwei Jiang, Junbin Gao, Tianjiang Wang, Paul Wing Hing Kwan:
Learning Gradients with Gaussian Processes. PAKDD (2) 2010: 113-124
2000 – 2009
- 2009
- [j16]Junbin Gao, Paul Wing Hing Kwan, Yi Guo:
Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing 72(4-6): 1242-1249 (2009) - [j15]Junbin Gao, Paul Wing Hing Kwan, Xiaodi Huang:
Comprehensive Analysis for the Local Fisher Discriminant Analysis. Int. J. Pattern Recognit. Artif. Intell. 23(6): 1129-1143 (2009) - [c22]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data. Australasian Conference on Artificial Intelligence 2009: 240-249 - [c21]Adrian O'Connor, Junbin Gao, John Louis:
Termination Criteria for Evolutionary Algorithms. GEM 2009: 35-42 - [c20]Adrian O'Connor, Junbin Gao, John Louis:
Initiation of Evolutionary Algorithms. GEM 2009: 73-78 - [c19]Paul Wing Hing Kwan, Junbin Gao, Graham Leedham:
A User-Centered Framework for Adaptive Fingerprint Identification. PAISI 2009: 89-100 - [c18]Junbin Gao, Jun Zhang:
Sparse Kernel Learning and the Relevance Units Machine. PAKDD 2009: 612-619 - 2008
- [j14]Junbin Gao:
Robust L1 Principal Component Analysis and Its Bayesian Variational Inference. Neural Comput. 20(2): 555-572 (2008) - [j13]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1490-1495 (2008) - [c17]Junbin Gao, Michael Antolovich, Paul Wing Hing Kwan:
L1 LASSO Modeling and Its Bayesian Inference. Australasian Conference on Artificial Intelligence 2008: 318-324 - [c16]Adrian O'Connor, Junbin Gao, John Louis:
Using a Stochastic Funnel to find NLR Starting Values. GEM 2008: 96-102 - [c15]Richard Yi Da Xu, Junbin Gao, Michael Antolovich:
Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras. ICME 2008: 45-48 - 2007
- [j12]Tianhai Tian, Songlin Xu, Junbin Gao, Kevin Burrage:
Simulated maximum likelihood method for estimating kinetic rates in gene expression. Bioinform. 23(1): 84-91 (2007) - [j11]Xiaodi Huang, Wei Lai, A. S. M. Sajeev, Junbin Gao:
A new algorithm for removing node overlapping in graph visualization. Inf. Sci. 177(14): 2821-2844 (2007) - [j10]Junbin Gao, Daming Shi, Xiaomao Liu:
Significant vector learning to construct sparse kernel regression models. Neural Networks 20(7): 791-798 (2007) - [c14]Yi Guo, Paul Wing Hing Kwan, Junbin Gao:
Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints. ADMA 2007: 227-238 - [c13]Junbin Gao, Richard Y. D. Xu:
Mixture of the Robust L1 Distributions and Its Applications. Australian Conference on Artificial Intelligence 2007: 26-35 - [c12]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data. Australian Conference on Artificial Intelligence 2007: 659-663 - [c11]Matthew Robards, Junbin Gao, Philip Charlton:
A Discriminant Analysis for Undersampled Data. AIDM 2007: 11-18 - [c10]Yi Guo, Paul Wing Hing Kwan, Junbin Gao:
Twin Kernel Embedding with Back Constraints. ICDM Workshops 2007: 319-324 - [c9]Xiaomao Liu, Shujuan Cao, Junbin Gao, Jun Zhang:
The Kernelized Geometrical Bisection Methods. ISNN (2) 2007: 680-688 - [e1]Kok-Leong Ong, Wenyuan Li, Junbin Gao:
Integrating Artificial Intelligence and Data Mining - Proceedings of the 2nd International Workshop on Integrating Artificial Intelligence and Data Mining (AIDM 2007), Gold Coast, Queensland, Australia, December 2007. Proceedings. CRPIT 84, Australian Computer Society 2007, ISBN 978-1-920682-65-1 [contents] - 2006
- [j9]Daming Shi, Fei Chen, Geok See Ng, Junbin Gao:
The construction of wavelet network for speech signal processing. Neural Comput. Appl. 15(3-4): 217-222 (2006) - [c8]Paul Wing Hing Kwan, Junbin Gao:
A multi-step strategy for approximate similarity search in image databases. ADC 2006: 139-147 - [c7]Yi Guo, Junbin Gao, Paul Wing Hing Kwan:
Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence 2006: 1179-1183 - [c6]Yi Guo, Junbin Gao:
Manifolds of Bag of Pixels: A Better Representation for Image Recognition. SMC 2006: 3618-3622 - 2005
- [j8]Daming Shi, Daniel S. Yeung, Junbin Gao:
Sensitivity analysis applied to the construction of radial basis function networks. Neural Networks 18(7): 951-957 (2005) - [c5]Kishor Vaidya, A. S. M. Sajeev, Junbin Gao:
E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector. ICEC 2005: 429-434 - 2004
- [c4]Daming Shi, Junbin Gao, Daniel S. Yeung, Fei Chen:
Radial Basis Function Network Pruning by Sensitivity Analysis. Canadian AI 2004: 380-390 - [c3]Daming Shi, Geok See Ng, Junbin Gao, Daniel S. Yeung:
Critical Vector Learning to Construct RBF Classifiers. ICPR (3) 2004: 359-362 - [c2]Junbin Gao, Fei Chen, Daming Shi:
On the construction of support wavelet network. SMC (4) 2004: 3204-3207 - 2003
- [j7]Junbin Gao, Steve R. Gunn, Chris J. Harris:
Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003) - [j6]Junbin Gao, Steve R. Gunn, Chris J. Harris:
SVM regression through variational methods and its sequential implementation. Neurocomputing 55(1-2): 151-167 (2003) - 2002
- [j5]Junbin Gao, Chris J. Harris:
Some remarks on Kalman filters for the multisensor fusion. Inf. Fusion 3(3): 191-201 (2002) - [j4]Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown:
A Probabilistic Framework for SVM Regression and Error Bar Estimation. Mach. Learn. 46(1-3): 71-89 (2002) - [c1]Junbin Gao, Steve R. Gunn, Jaz S. Kandola:
Adapting Kernels by Variational Approach in SVM. Australian Joint Conference on Artificial Intelligence 2002: 395-406 - 2001
- [j3]Junbin Gao, Chris J. Harris, Steve R. Gunn:
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Comput. 13(9): 1975-1994 (2001) - 2000
- [j2]Chris J. Harris, Junbin Gao:
Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. Syst. Sci. 31(10): 1241-1248 (2000)
1990 – 1999
- 1993
- [j1]Junbin Gao:
A C 2 finite element and interpolation. Computing 50(1): 69-76 (1993)
Coauthor Index
[j194] [j180] [i99] [i88] [j165] [c174] [c164] [i85] [i81] [i80] [i79] [i76] [j124] [j117] [i57] [j91] [j69] [j62] [c100] [i30] [i29] [i28] [c96] [i20] [i18] [i15] [i13] [i11] [j48] [j41] [c78] [c75] [i5] [i3] [j37] [c67] [c64] [c63] [c59] [c55] [c51] [c48] [c47] [c45] [c44] [c43] [c30] [j19] [j16] [c22] [j13] [c14] [c12] [c10] [c7] [c6]
Christopher J. Harris 0001
aka: Chris J. Harris
aka: Chris J. Harris
[j199] [j192] [j189] [j188] [j184] [j182] [j179] [j177] [c180] [i92] [j175] [j168] [j167] [j164] [j163] [j162] [j161] [j159] [j158] [c162] [j153] [j151] [j150] [j148] [j142] [j140] [j139] [j138] [j136] [j135] [c156] [j131] [j129] [j123] [j122] [j121] [j119] [j116] [c150] [c147] [c145] [c142] [i61] [j111] [j110] [c138] [c137] [c136] [c134] [c133] [j108] [j94] [j92] [j89] [c127] [c124] [j86] [j79] [j77] [j74] [j72] [c123] [c116] [j63] [c108] [c102] [c101] [i27] [i26] [i23] [j58] [j52] [c98] [c97] [c89] [i19] [i17] [i16] [i14] [i12] [i10] [j42] [i7] [i6] [i2] [j31] [c69]
Pratik Jawanpuria
aka: Pratik Kumar Jawanpuria
aka: Pratik Kumar Jawanpuria
Paul Wing Hing Kwan
aka: Paul Kwan
aka: Paul Kwan
[j199] [j193] [j192] [j188] [j184] [j179] [j176] [c184] [c183] [c180] [c178] [i98] [i92] [j175] [j170] [j167] [j159] [j158] [c162] [j153] [j152] [j151] [j150] [j148] [j146] [j142] [j140] [j139] [j138] [j136] [j135] [c156] [c155] [j131] [j129] [j123] [j122] [j121] [j119] [j116] [c150] [c147] [c145] [c142] [j111] [j110] [c138] [c137] [c136] [c134] [c133] [j108] [j95] [j94] [j92] [j89] [c127] [j86] [j79] [j77] [j74] [j72] [c123] [c116] [j63] [c108] [c102] [c101] [i27] [i26] [i23] [j58] [j57] [j52] [c98] [c97] [c89] [i19] [i17] [i16] [i14] [i12] [i10] [j42] [i8] [i7] [i6] [i2] [j31] [c69] [c62] [c59] [c56] [c51]
[j199] [j193] [j192] [j189] [j188] [j186] [j184] [j182] [j179] [j177] [j176] [c184] [c183] [c180] [c175] [i98] [i96] [i92] [j175] [j170] [j168] [j167] [j164] [j163] [j162] [j161] [j159] [j158] [c162] [j153] [j152] [j151] [j150] [j148] [j146] [j142] [j140] [j139] [j138] [j136] [j135] [c156] [c155] [j131] [j129] [j125] [j123] [j122] [j121] [j119] [j116] [c150] [c147] [c145] [c142] [i61] [j112] [j111] [j110] [c138] [c137] [c136] [c134] [c133] [j108] [j95] [j94] [j92] [j89] [c127] [c124] [j86] [j81] [j79] [j77] [j74] [j72] [c123] [c116] [j63] [c102] [c101] [i27] [i26] [i23] [j58] [j57] [j52] [c98] [c97] [i16] [i14] [i12] [i10] [j42] [i8] [i7] [i6] [j31] [c69]
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