Guangliang Chen

Orcid: 0000-0001-8334-3727

According to our database1, Guangliang Chen authored at least 25 papers between 2007 and 2023.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
A fast incremental spectral clustering algorithm with cosine similarity.
Proceedings of the IEEE International Conference on Data Mining, 2023

Fast, Memory-Efficient Spectral Clustering with Cosine Similarity.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022
Research on The Application of Intelligent Locks in The Field of Electric Power.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022

2021
The Larger the Better: Analysis of a Scalable Spectral Clustering Algorithm with Cosine Similarity.
Proceedings of the Modern Management based on Big Data II and Machine Learning and Intelligent Systems III, 2021

2020
Coupling fuzzy clustering and cellular automata based on local maxima of development potential to model urban emergence and expansion in economic development zones.
Int. J. Geogr. Inf. Sci., 2020

2019
A general framework for scalable spectral clustering based on document models.
Pattern Recognit. Lett., 2019

2018
Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs.
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing, 2018

A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2018

MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity.
Proceedings of the Reproducible Research in Pattern Recognition, 2018

Scalable spectral clustering with cosine similarity.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
Experiences and issues of using cellular automata for assisting urban and regional planning in China.
Int. J. Geogr. Inf. Sci., 2017

Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
High-Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

2015
Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

2013
Guaranteed sparse signal recovery with highly coherent sensing matrices.
CoRR, 2013

2012
A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

2011
Multiscale Geometric Methods for Data Sets II: Geometric Wavelets
CoRR, 2011

Multiscale geometric and spectral analysis of plane arrangements.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Data representation and exploration with Geometric Wavelets.
Proceedings of the 5th IEEE Conference on Visual Analytics Science and Technology, 2010

Multiscale geometric wavelets for the analysis of point clouds.
Proceedings of the 44th Annual Conference on Information Sciences and Systems, 2010

2009
Spectral Curvature Clustering (SCC).
Int. J. Comput. Vis., 2009

Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling.
Found. Comput. Math., 2009

Motion segmentation by SCC on the hopkins 155 database.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Kernel Spectral Curvature Clustering (KSCC).
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2007
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data.
Bioinform., 2007


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