Yi Guo

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 40

Top Topics

Subspace Clustering

Positive Definite

Nearest Neighbour

Top Venues

IEEE Trans. Geosci. Remote. Sens.

Publications

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) (2024)
Xinrong Hu, Wushuan Chen, Jie Yang, Yi Guo, Xun Yao, Bangchao Wang, Junping Liu, Ce Xu
SCAD: Subspace Clustering based Adversarial Detector. WSDM (2024)
Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu
COTER: Conditional Optimal Transport meets Table Retrieval. WSDM (2024)
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)
Jing Ke, Yizhou Lu, Yiqing Shen, Junchao Zhu, Yijin Zhou, Jinghan Huang, Jieteng Yao, Xiaoyao Liang, Yi Guo, Zhonghua Wei, Sheng Liu, Qin Huang, Fusong Jiang, Dinggang Shen
ClusterSeg: A crowd cluster pinpointed nucleus segmentation framework with cross-modality datasets. Medical Image Anal. 85 (2023)
Yi Guo, Stephen Tierney, Junbin Gao
Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082. Signal Process. 202 (2023)
Dai Shi, Andi Han, Yi Guo, Junbin Gao
Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN (2023)
Jing Ke, Yiqing Shen, Yizhou Lu, Yi Guo, Dinggang Shen
Mine local homogeneous representation by interaction information clustering with unsupervised learning in histopathology images. Comput. Methods Programs Biomed. 235 (2023)
Xue Yang, Liang Liang, Feng Li, Qingjiu Tian, Xiaotian Lu, Lei Xin, Yi Guo, Wenjun Dong
Hyper-Temporal Data Based Modulation Transfer Functions Compensation for Geostationary Remote Sensing Satellites. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yi Guo, Stephen Tierney, Junbin Gao
Robust Functional Manifold Clustering. IEEE Trans. Neural Networks Learn. Syst. 32 (2) (2021)
Yi Guo, Stephen Tierney, Junbin Gao
Efficient sparse subspace clustering by nearest neighbour filtering. Signal Process. 185 (2021)
Jing Ke, Yiqing Shen, Xinyu Jiang, Yi Guo, Yaobing Chen, Xiaoyao Liang
Multiple-datasets and multiple-label based color normalization in histopathology with cGAN. Medical Imaging: Digital Pathology (2021)
Dai Shi, Andi Han, Yi Guo, Junbin Gao
A Discussion On the Validity of Manifold Learning. CoRR (2021)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Naifeng Jing, Xiaoyao Liang
A High-Throughput Tumor Location System with Deep Learning for Colorectal Cancer Histopathology Image. AIME (2020)
Jing Ke, Yiqing Shen, Yi Guo, Jason D. Wright, Xiaoyao Liang
A Prediction Model of Microsatellite Status from Histology Images. ICBET (2020)
Junjie Yang, Yi Guo, Zuyuan Yang, Liu Yang, Shengli Xie
Estimating Number of Speakers via Density-Based Clustering and Classification Decision. IEEE Access 7 (2019)
Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang
Sparse Dictionary Learning for Blind Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 16 (4) (2019)
Junjie Yang, Yi Guo, Zuyuan Yang, Shengli Xie
Under-Determined Convolutive Blind Source Separation Combining Density-Based Clustering and Sparse Reconstruction in Time-Frequency Domain. IEEE Trans. Circuits Syst. I Regul. Pap. (8) (2019)
Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
Multiview Subspace Clustering via Tensorial t-Product Representation. IEEE Trans. Neural Networks Learn. Syst. 30 (3) (2019)
Feng Li, Lei Xin, Yi Guo, Dongsheng Gao, Xianghao Kong, Xiuping Jia
Super-Resolution for GaoFen-4 Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 15 (1) (2018)
Mark Berman, Zhipeng Hao, Glenn Stone, Yi Guo
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. 11 (9) (2018)
Feng Li, Lei Xin, Yi Guo, Xiuping Jia
Multitemporal Mid-Infrared Imagery Based Calibration and Super Resolution for Gaofen-4. IGARSS (2018)
Yang Liu, Yi Guo, Feng Li, Lei Xin, Puming Huang
A Fast Algorithm to Find All Paths for Hyperspectral Unmixing. IGARSS (2018)
Junjie Yang, Zuyuan Yang, Yi Guo, Shengli Xie
Blind Source Separation: Detecting Unknown Sources Number In Covariance Domain. ICCAE (2017)
Stephen Tierney, Junbin Gao, Yi Guo, Zheng Zhang
Tractable Clustering of Data on the Curve Manifold. CoRR (2017)
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) (2017)
Stephen Tierney, Yi Guo, Junbin Gao
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering. CoRR (2017)
Junbin Gao, Yi Guo, Zhiyong Wang
Matrix Neural Networks. ISNN (1) (2017)
Mark Berman, Leanne Bischof, Ryan Lagerstrom, Yi Guo, Jonathan F. Huntington, Peter Mason, Andrew A. Green
A Comparison Between Three Sparse Unmixing Algorithms Using a Large Library of Shortwave Infrared Mineral Spectra. IEEE Trans. Geosci. Remote. Sens. 55 (6) (2017)
Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
l1-norm penalised orthogonal forward regression. Int. J. Syst. Sci. 48 (10) (2017)
Stephen Tierney, Yi Guo, Junbin Gao
Collaborative Low-Rank Subspace Clustering. CoRR (2017)
Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone
Semi-realistic Simulations of Natural Hyperspectral Scenes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (9) (2016)
Stephen Tierney, Junbin Gao, Yi Guo, Zhengwu Zhang
Low-Rank Representation over the Manifold of Curves. CoRR (2016)
Ming Yin, Junbin Gao, Shengli Xie, Yi Guo
Low-rank Multi-view Clustering in Third-Order Tensor Space. CoRR (2016)
Feng Li, Tim J. Cornwell, Frank de Hoog, Lei Xin, Yi Guo
Compressive sensing based multi-frequency synthesis. DSP (2016)
Ming Yin, Shengli Xie, Yi Guo, Junbin Gao, Yun Zhang
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices. CoRR (2016)
Yi Guo, Feng Li, Peter Caccetta, Drew Devereux, Mark Berman
Cloud filtering for Landsat TM satellite images using multiple temporal mosaicing. IGARSS (2016)
Junbin Gao, Yi Guo, Zhiyong Wang
Matrix Neural Networks. CoRR (2016)
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CVPR (2016)
Ming Yin, Yi Guo, Junbin Gao, Zhaoshui He, Shengli Xie
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds. CoRR (2016)
Stephen Tierney, Yi Guo, Junbin Gao
Selective Multi-Source Total Variation Image Restoration. DICTA (2015)
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) (2015)
Yi Guo, Junbin Gao, Feng Li, Stephen Tierney, Ming Yin
Low rank sequential subspace clustering. IJCNN (2015)
Zhipeng Hao, Mark Berman, Yi Guo, Glenn Stone, Iain M. Johnstone
Semi-realistic simulations of natural hyperspectral scenes. IGARSS (2015)
Xia Hong, Sheng Chen, Yi Guo, Junbin Gao
l1-norm Penalized Orthogonal Forward Regression. CoRR (2015)
Yi Guo, Junbin Gao, Feng Li
Random spatial subspace clustering. Knowl. Based Syst. 74 (2015)
Stephen Tierney, Yi Guo, Junbin Gao
Segmentation of Subspaces in Sequential Data. CoRR (2015)
Stephen Tierney, Junbin Gao, Yi Guo
The W-Penalty and Its Application to Alpha Matting with Sparse Labels. DICTA (2014)
Yi Guo, Mark Berman, Junbin Gao
Group subset selection for linear regression. Comput. Stat. Data Anal. 75 (2014)
Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
Dimensionality reduction assisted tensor clustering. IJCNN (2014)
Stephen Tierney, Junbin Gao, Yi Guo
Affinity Pansharpening and Image Fusion. DICTA (2014)
Stephen Tierney, Junbin Gao, Yi Guo
Subspace Clustering for Sequential Data. CVPR (2014)
Ming Yin, Yi Guo, Junbin Gao
Linear Subspace Learning via sparse dimension reduction. IJCNN (2014)
Junbin Gao, Yi Guo, Ming Yin
Restricted Boltzmann machine approach to couple dictionary training for image super-resolution. ICIP (2013)
Yi Guo, Junbin Gao, Feng Li
Large scale hyperspectral data segmentation by random spatial subspace clustering. IGARSS (2013)
Yi Guo, Junbin Gao, Feng Li
Dimensionality Reduction with Dimension Selection. PAKDD (1) (2013)
Yi Guo, Junbin Gao, Yanfeng Sun
Endmember Extraction by Exemplar Finder. ADMA (2) (2013)
Xia Hong, Yi Guo, Sheng Chen, Junbin Gao
Sparse model construction using coordinate descent optimization. DSP (2013)
Yi Guo, Junbin Gao, Xia Hong
Constrained Grouped Sparsity. Australasian Conference on Artificial Intelligence (2012)
Yi Guo, Junbin Gao
Local Feature Based Tensor Kernel for Image Manifold Learning. PAKDD (2) (2011)
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) (2010)
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)
Junbin Gao, Paul Wing Hing Kwan, Yi Guo
Robust multivariate L1 principal component analysis and dimensionality reduction. Neurocomputing 72 (4-6) (2009)
Yi Guo, Junbin Gao, Paul Wing Hing Kwan
Twin Kernel Embedding. IEEE Trans. Pattern Anal. Mach. Intell. 30 (8) (2008)
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)
Yi Guo, Paul Wing Hing Kwan, Junbin Gao
Twin Kernel Embedding with Back Constraints. ICDM Workshops (2007)
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)
Yi Guo, Junbin Gao, Paul Wing Hing Kwan
Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data. Australian Conference on Artificial Intelligence (2006)
Yi Guo, Junbin Gao
Manifolds of Bag of Pixels: A Better Representation for Image Recognition. SMC (2006)