default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
Other persons with a similar name
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:47 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
