Yi Guo

发表

Tractable Clustering of Data on the Curve Manifold pdf

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

Nonlinear low-rank representation on Stiefel manifolds

Junbin Gao, Yi Guo, Ming Yin, 2015 .

Visualization of protein structure relationships using constrained twin kernel embedding

Yi Guo, P. Kwan, Junbin Gao, 2008 .

Robust L 1 PCA and Its Application in Image Denoising

Yi Guo, Junbin Gao, 2008 .

Twin Kernel Embedding with Back Constraints

Junbin Gao, Paul Kwan, Yi Guo, 2007 .

Visualization of Protein Structure Relationships Using Twin Kernel Embedding

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

- norm penalised orthogonal forward regression

X. Hong, Sheng Chen, Junbin Gao, 2017 .

l1-norm Penalized Orthogonal Forward Regression

X. Hong, Sheng Chen, Junbin Gao, 2015, arXiv.org.

Linear Subspace Learning via sparse dimension reduction

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

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

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

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

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

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering

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

Matrix Neural Networks pdf

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

Subspace Clustering for Sequential Data

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

Selective Multi-Source Total Variation Image Restoration

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

Soft Cost Aggregation with Multi-resolution Fusion

Yi Guo, Changming Sun, Xiao Tan, 2014, ECCV.

A Fast Approximate Spectral Unmixing Algorithm Based on Segmentation

Yi Guo, Arcot Sowmya, Jing Ke, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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

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

Low rank sequential subspace clustering

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

Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image

Yi Guo, Lifu Zhang, Hang Yang, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Random spatial subspace clustering

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

l1-norm penalised orthogonal forward regression

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

Affinity Pansharpening and Image Fusion

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

How Curvature Enhance the Adaptation Power of Framelet GCNs

Yi Guo, Junbin Gao, Dai Shi, 2023, ArXiv.

Spatial subspace clustering for drill hole spectral data

Junbin Gao, Yi Guo, Feng Li, 2014 .

SPATIAL SUBSPACE CLUSTERING FOR HYPERSPECTRAL DATA SEGMENTATION

Junbin Gao, Feng Li, Yi Guo, 2013 .

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm

Yi Guo, Andi Han, Junbin Gao, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

A Discussion On the Validity of Manifold Learning pdf

Junbin Gao, Yi Guo, Andi Han, 2021, ArXiv.

Twin Kernel Embedding

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

Visualization of Non-vectorial Data Using Twin Kernel Embedding

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

Dimensionality reduction assisted tensor clustering

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

Cosmo VAE: Variational Autoencoder for CMB Image Inpainting

Yanan Fan, Kai Yi, Yi Guo, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Constrained Grouped Sparsity

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

A comparison between subset selection and L1 regularisation with an application in spectroscopy

Mark Berman, Yi Guo, M. Berman, 2012 .

Robust L1 PCA and application in image denoising

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

Robust multivariate L1 principal component analysis and dimensionality reduction

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

Local Feature Based Tensor Kernel for Image Manifold Learning

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

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

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

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

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

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

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

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges

Yi Guo, Andi Han, Junbin Gao, 2023, ArXiv.

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond

Qianchuan Zhao, Yi Guo, Andi Han, 2023, ArXiv.

Frameless Graph Knowledge Distillation

Yi Guo, Junbin Gao, Dai Shi, 2023, ArXiv.

l1-norm penalised orthogonal forward regression

Yi Guo, Junbin Gao, Xia Hong, 2017, International Journal of Systems Science.

Sparse model construction using coordinate descent optimization

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

Combining two soil property rasters using an adaptive gating approach

Yi Guo, David Clifford, D. Clifford, 2015 .

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion

Qianchuan Zhao, Yi Guo, Junbin Gao, 2023, ArXiv.