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Efficient Global String Kernel with Random Features: Beyond Counting Substructures


Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal

* KDD'19 Oral Paper, Data and Code link available in the paper 

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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding


Nov 25, 2019
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

* KDD'19, Oral Paper, Data and Code link available in the paper 

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Random Warping Series: A Random Features Method for Time-Series Embedding


Sep 14, 2018
Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock

* AIStats18, Oral Paper, Add code link for generating RWS 

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Scalable Spectral Clustering Using Random Binning Features


Aug 11, 2018
Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu Aggarwal

* KDD'18, Oral Paper 

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D2KE: From Distance to Kernel and Embedding


May 25, 2018
Lingfei Wu, Ian En-Hsu Yen, Fangli Xu, Pradeep Ravikumar, Michael Witbrock

* 15 pages, 4 tables 

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