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2020 – today
- 2024
[c17]Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Gasevic, Guangliang Chen:
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights. IJCAI 2024: 7545-7553- 2023
- [c16]Ran Li
, Guangliang Chen:
Fast, Memory-Efficient Spectral Clustering with Cosine Similarity. CIARP 2023: 700-714 - [c15]Ran Li, Guangliang Chen:
A fast incremental spectral clustering algorithm with cosine similarity. ICDM (Workshops) 2023: 80-88 - 2022
- [c14]Jie Liu, Xianshun Guo, Guangliang Chen, Zhengchao Zhang, Zheng Wang, Xingwei Chen:
Research on The Application of Intelligent Locks in The Field of Electric Power. ICITEE 2022: 163-168 - 2021
- [c13]Guangliang Chen:
The Larger the Better: Analysis of a Scalable Spectral Clustering Algorithm with Cosine Similarity. MMBD/MLIS 2021: 488-495 - 2020
- [j7]Xun Liang, Xiaoping Liu, Guangliang Chen, Jiye Leng, Youyue Wen, Guangzhao Chen:
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. 34(10): 1930-1952 (2020)
2010 – 2019
- 2019
- [j6]Guangliang Chen:
A general framework for scalable spectral clustering based on document models. Pattern Recognit. Lett. 125: 488-493 (2019) - 2018
- [c12]Guangliang Chen:
Scalable spectral clustering with cosine similarity. ICPR 2018: 314-319 - [c11]Guangliang Chen:
MATLAB Implementation Details of a Scalable Spectral Clustering Algorithm with the Cosine Similarity. RRPR 2018: 94-97 - [c10]Guangliang Chen:
A Scalable Spectral Clustering Algorithm Based on Landmark-Embedding and Cosine Similarity. S+SSPR 2018: 52-62 - [c9]Khiem Pham, Guangliang Chen:
Large-scale spectral clustering using diffusion coordinates on landmark-based bipartite graphs. TextGraphs@NAACL-HLT 2018: 28-37 - 2017
- [j5]Xia Li, Yimin Chen, Xiaoping Liu, Xiaocong Xu, Guangliang Chen:
Experiences and issues of using cellular automata for assisting urban and regional planning in China. Int. J. Geogr. Inf. Sci. 31(8): 1606-1629 (2017) - [c8]Guangliang Chen, Wilson Florero-Salinas, Dan Li:
Simple, fast and accurate hyper-parameter tuning in Gaussian-kernel SVM. IJCNN 2017: 348-355 - 2016
- [j4]Yi Wang, Guangliang Chen, Mauro Maggioni:
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. 9(9): 4316-4324 (2016) - 2015
- [c7]Yi Grace Wang, Mauro Maggioni, Guangliang Chen:
Enhanced detection of chemical plumes in hyperspectral images and movies throughimproved backgroundmodeling. WHISPERS 2015: 1-4 - 2013
- [i4]Guangliang Chen, Atul Divekar, Deanna Needell:
Guaranteed sparse signal recovery with highly coherent sensing matrices. CoRR abs/1311.0314 (2013) - 2012
- [c6]Guangliang Chen, Mark A. Iwen, Sang Chin, Mauro Maggioni:
A fast multiscale framework for data in high-dimensions: Measure estimation, anomaly detection, and compressive measurements. VCIP 2012: 1-6 - 2011
- [c5]Guangliang Chen, Mauro Maggioni:
Multiscale geometric and spectral analysis of plane arrangements. CVPR 2011: 2825-2832 - [i3]William K. Allard, Guangliang Chen, Mauro Maggioni:
Multiscale Geometric Methods for Data Sets II: Geometric Wavelets. CoRR abs/1105.4924 (2011) - 2010
- [c4]Guangliang Chen, Mauro Maggioni:
Multiscale geometric wavelets for the analysis of point clouds. CISS 2010: 1-6 - [c3]Eric E. Monson, Guangliang Chen, Rachel Brady, Mauro Maggioni:
Data representation and exploration with Geometric Wavelets. IEEE VAST 2010: 243-244
2000 – 2009
- 2009
- [j3]Guangliang Chen, Gilad Lerman:
Foundations of a Multi-way Spectral Clustering Framework for Hybrid Linear Modeling. Found. Comput. Math. 9(5): 517-558 (2009) - [j2]Guangliang Chen, Gilad Lerman:
Spectral Curvature Clustering (SCC). Int. J. Comput. Vis. 81(3): 317-330 (2009) - [c2]Guangliang Chen, Gilad Lerman:
Motion segmentation by SCC on the hopkins 155 database. ICCV Workshops 2009: 759-764 - [c1]Guangliang Chen, Stefan Atev, Gilad Lerman:
Kernel Spectral Curvature Clustering (KSCC). ICCV Workshops 2009: 765-772 - [i2]Guangliang Chen, Stefan Atev, Gilad Lerman:
Kernel Spectral Curvature Clustering (KSCC). CoRR abs/0909.1605 (2009) - [i1]Guangliang Chen, Gilad Lerman:
Motion Segmentation by SCC on the Hopkins 155 Database. CoRR abs/0909.1608 (2009) - 2007
- [j1]Gilad Lerman, Joseph McQuown, Alexandre Blais, Brian D. Dynlacht, Guangliang Chen, Bud Mishra:
Functional genomics via multiscale analysis: application to gene expression and ChIP-on-chip data. Bioinform. 23(3): 314-320 (2007)
Coauthor Index
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