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Xuan Zhao 0008
Person information
- affiliation: Cylance Inc., Irvine, CA, USA
Other persons with the same name
- Xuan Zhao — disambiguation page
- Xuan Zhao 0001
— Chang'an University, School of Automobile, Xi'an, China
- Xuan Zhao 0002
- Xuan Zhao 0003
- Xuan Zhao 0004
- Xuan Zhao 0005
- Xuan Zhao 0006 — City University of Hong Kong, Department of Biomedical Engineering, Hong Kong, China
- Xuan Zhao 0007 — Cornell University, Ithaca, New York, USA
- Xuan Zhao 0009
- Xuan Zhao 0010
- Xuan Zhao 0011 — York University, Ontario, Canada
- Xuan Zhao 0012
- Xuan Zhao 0013
- Xuan Zhao 0014
- Xuan Zhao 0015
- Xuan Zhao 0016
- Xuan Zhao 0017
- Xuan Zhao 0018
- Xuan Zhao 0019
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2010 – 2019
- 2019
- [i4]Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff:
Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections. CoRR abs/1901.00630 (2019) - [i3]Michael Thomas Wojnowicz, Xuan Zhao:
PROPS: Probabilistic personalization of black-box sequence models. CoRR abs/1903.02013 (2019) - 2018
- [c5]Michael Thomas Wojnowicz, Xuan Zhao:
PROPS: Probabilistic personalization of black-box sequence models. IEEE BigData 2018: 4768-4774 - 2017
- [j2]Michael Wojnowicz, Glenn Chisholm, Brian Wallace, Matt Wolff, Xuan Zhao, Jay Luan:
SUSPEND: Determining software suspiciousness by non-stationary time series modeling of entropy signals. Expert Syst. Appl. 71: 301-318 (2017) - [c4]Michael Wojnowicz, Dinh Nguyen, Li Li, Xuan Zhao:
Lazy Stochastic Principal Component Analysis. ICDM Workshops 2017: 561-568 - 2016
- [j1]Michael Wojnowicz, Glenn Chisholm, Matt Wolff, Xuan Zhao:
Wavelet decomposition of software entropy reveals symptoms of malicious code. J. Innov. Digit. Ecosyst. 3(2): 130-140 (2016) - [c3]Michael Wojnowicz, Ben Cruz, Xuan Zhao, Brian Wallace, Matt Wolff, Jay Luan, Caleb Crable:
"Influence sketching": Finding influential samples in large-scale regressions. IEEE BigData 2016: 3601-3612 - [c2]Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff:
Projecting "Better Than Randomly": How to Reduce the Dimensionality of Very Large Datasets in a Way That Outperforms Random Projections. DSAA 2016: 184-193 - [c1]Xuan Zhao, Jay Luan, Matt Wolff:
Evaluating randomness in cyber attack textual artifacts. eCrime 2016: 25-29 - [i2]Michael Wojnowicz, Glenn Chisholm, Matt Wolff, Xuan Zhao:
Wavelet decomposition of software entropy reveals symptoms of malicious code. CoRR abs/1607.04950 (2016) - [i1]Michael Wojnowicz, Ben Cruz, Xuan Zhao, Brian Wallace, Matt Wolff, Jay Luan, Caleb Crable:
"Influence Sketching": Finding Influential Samples In Large-Scale Regressions. CoRR abs/1611.05923 (2016)
Coauthor Index
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