Shang-Tse Chen - Concepedia

Author

Shang-Tse Chen

Georgia Institute of Technology

Also Known As

Chen, Shang-Tse, Shang-Tse Chen, Su, Hung-Ting

Publications

711

Citations

H-Index

Concepts

All Affiliations

Georgia Institute of Technology Intel (United States)National Taiwan University Academia Sinica

About

Shang-Tse Chen is an author at Georgia Institute of Technology specializing in engineering, data science, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	8	8	601
2	Computer Science	7	7	586
3	Data Science	7	7	549
4	Public Health	1	1	15
5	Epidemiology	1	1	15

Shang-Tse Chen

Publications

651

Citations

H-Index

Page 1

	Year	Citations
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, arXiv (Cornell University) Jpeg CompressionConvolutional Neural NetworkEngineeringMachine LearningAutoencoders	2017	241
SHIELD Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, VaccinationJpeg CompressionDeep Neural NetworksImage AnalysisMachine Learning	2018	160
Firebird Michael Madaio, Shang-Tse Chen, Oliver L. Haimson, Fire InspectionsEngineeringData ScienceFire SafetyPredictive Analytics	2016	53
Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen, Cory Cornelius, Jason Martin, arXiv (Cornell University) Convolutional Neural NetworkMachine VisionMachine LearningImage AnalysisEngineering	2018	52
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, arXiv (Cornell University) Jpeg CompressionConvolutional Neural NetworkEngineeringMachine LearningPractical Defense	2018	48
Chronodes Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, ACM Transactions on Interactive Intelligent Systems	2018	25
An Online Boosting Algorithm with Theoretical Justifications Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningOnline Boosting AlgorithmText Mining	2012	16
Compression to the Rescue: Defending from Adversarial Attacks Across Modalities Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen, Knowledge Discovery and Data Mining EngineeringMachine LearningEvasion TechniqueInformation SecurityDeep Learning Models	2018	16
TimeStitch: Interactive multi-focus cohort discovery and comparison Peter J. Polack, Shang-Tse Chen, Minsuk Kahng, Health InformaticsAbstinent SmokersData ScienceHealth PolicyVisualization Techniques	2015	15
An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes Hung-Yi Lo, Kai‐Wei Chang, Shang-Tse Chen,	2009	14

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