Yi Guo

Orcid: 0000-0002-8050-5388

Affiliations:
  • Western Sydney University, School of Computing, Engineering and Mathematics, Parramatta, NSW, Australia
  • CSIRO Mathematics, Informatics and Statistics, North Ryde, NSW, Australia (2008 - 2016)
  • University of New England, School of Mathematics, Statistics and Computer Science, Armidale, NSW, Australia (PhD 2008)


According to our database1, Yi Guo authored at least 74 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Enhancing framelet GCNs with generalized p-Laplacian regularization.
Int. J. Mach. Learn. Cybern., April, 2024

2023
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images.
Comput. Methods Programs Biomed., June, 2023

ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets.
Medical Image Anal., April, 2023

Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082.
Signal Process., 2023

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023

How Curvature Enhance the Adaptation Power of Framelet GCNs.
CoRR, 2023

Frameless Graph Knowledge Distillation.
CoRR, 2023

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR, 2023

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Hyper-Temporal Data Based Modulation Transfer Functions Compensation for Geostationary Remote Sensing Satellites.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
Robust Functional Manifold Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2021

Efficient sparse subspace clustering by nearest neighbour filtering.
Signal Process., 2021

A Discussion On the Validity of Manifold Learning.
CoRR, 2021

Under-determined Blind Speech Separation via the Convolutive Transfer Function and lp Regularization.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

Multiple-datasets and multiple-label based color normalization in histopathology with cGAN.
Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020
Portfolio selection and unsystematic risk optimisation using swarm intelligence.
J. Bank. Financial Technol., 2020

Fast Tumor Detector in Whole-Slide Image With Dynamic Programing Based Monte Carlo Sampling.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Prediction Model of Microsatellite Status from Histology Images.
Proceedings of the 10th International Conference on Biomedical Engineering and Technology, 2020

A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image.
Proceedings of the Artificial Intelligence in Medicine, 2020

2019
Multiview Subspace Clustering via Tensorial t-Product Representation.
IEEE Trans. Neural Networks Learn. Syst., 2019

Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Sparse Dictionary Learning for Blind Hyperspectral Unmixing.
IEEE Geosci. Remote. Sens. Lett., 2019

Estimating Number of Speakers via Density-Based Clustering and Classification Decision.
IEEE Access, 2019

Multi-peak Algorithmic Trading Strategies Using Grey Wolf Optimizer.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Portfolio Risk Optimisation and Diversification Using Swarm Intelligence.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

2018
An Investigation Into the Impact of Band Error Variance Estimation on Intrinsic Dimension Estimation in Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Super-Resolution for GaoFen-4 Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2018

A Fast Algorithm to Find All Paths for Hyperspectral Unmixing.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Multitemporal Mid-Infrared Imagery Based Calibration and Super Resolution for Gaofen-4.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A Framework of Mixed Sparse Representations for Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2017

A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra.
IEEE Trans. Geosci. Remote. Sens., 2017

l1-norm penalised orthogonal forward regression.
Int. J. Syst. Sci., 2017

Tractable Clustering of Data on the Curve Manifold.
CoRR, 2017

Collaborative Low-Rank Subspace Clustering.
CoRR, 2017

Matrix Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Blind Source Separation: Detecting Unknown Sources Number In Covariance Domain.
Proceedings of the 9th International Conference on Computer and Automation Engineering, 2017

2016
Semi-realistic Simulations of Natural Hyperspectral Scenes.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

A Modified Locality-Preserving Projection Approach for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2016

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices.
CoRR, 2016

Low-rank Multi-view Clustering in Third-Order Tensor Space.
CoRR, 2016

Low-Rank Representation over the Manifold of Curves.
CoRR, 2016

Cloud filtering for Landsat TM satellite images using multiple temporal mosaicing.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Compressive sensing based multi-frequency synthesis.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.
IEEE Trans. Image Process., 2015

Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Random spatial subspace clustering.
Knowl. Based Syst., 2015

Segmentation of Subspaces in Sequential Data.
CoRR, 2015

l1-norm Penalized Orthogonal Forward Regression.
CoRR, 2015

Low rank sequential subspace clustering.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Selective Multi-Source Total Variation Image Restoration.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

2014
Group subset selection for linear regression.
Comput. Stat. Data Anal., 2014

Linear Subspace Learning via sparse dimension reduction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dimensionality reduction assisted tensor clustering.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Soft Cost Aggregation with Multi-resolution Fusion.
Proceedings of the Computer Vision - ECCV 2014, 2014

Affinity Pansharpening and Image Fusion.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

The W-Penalty and Its Application to Alpha Matting with Sparse Labels.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Subspace Clustering for Sequential Data.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Dimensionality Reduction with Dimension Selection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Large scale hyperspectral data segmentation by random spatial subspace clustering.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.
Proceedings of the IEEE International Conference on Image Processing, 2013

Sparse model construction using coordinate descent optimization.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Endmember Extraction by Exemplar Finder.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
Constrained Grouped Sparsity.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Local Feature Based Tensor Kernel for Image Manifold Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2010
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback.
Int. J. Pattern Recognit. Artif. Intell., 2010

2009
Robust multivariate L1 principal component analysis and dimensionality reduction.
Neurocomputing, 2009

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Twin Kernel Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

2007
Twin Kernel Embedding with Back Constraints.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
Manifolds of Bag of Pixels: A Better Representation for Image Recognition.
Proceedings of the IEEE International Conference on Systems, 2006

Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006


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