Yuh-Jye Lee

Affiliations:

National Taiwan University of Science and Technology, Department of Computer Science and Information Engineering
National Taiwan University, Intel-NTU Connected Context Computing Center
University of Wisconsin - Madison, Department of Computer Sciences

According to our database¹, Yuh-Jye Lee authored at least 50 papers between 1999 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Federated Learning for Sparse Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

2019

Dealing with Interleaved Event Inputs for Intrusion Detection.

[BibT_eX]

[DOI]

Hsing-Kuo Pao

Fong-Fuei Lee

Yuh-Jye Lee

J. Inf. Sci. Eng., 2019

Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Ubiquitous Computing and Ambient Intelligence, 2019

A Unified Approach on Active Learning Dual Supervision.

[BibT_eX]

[DOI]

Adrian Chriswanto

Hsing-Kuo Pao

Yuh-Jye Lee

Proceedings of the International Joint Conference on Neural Networks, 2019

Distributed Consensus Reduced Support Vector Machine.

[BibT_eX]

[DOI]

Hsiang-Hsuan Chen

Yuh-Jye Lee

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Two smooth support vector machines for \(\varepsilon \) -insensitive regression.

[BibT_eX]

[DOI]

Comput. Optim. Appl., 2018

2017

Detecting In Situ Identity Fraud on Social Network Services: A Case Study With Facebook.

[BibT_eX]

[DOI]

IEEE Syst. J., 2017

A study on anomaly detection ensembles.

[BibT_eX]

[DOI]

J. Appl. Log., 2017

Big active learning.

[BibT_eX]

[DOI]

Er-Chen Huang

Hsing-Kuo Pao

Yuh-Jye Lee

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

ChainSpot: Mining Service Logs for Cyber Security Threat Detection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Sparse sampling for sensing temporal data - building an optimized envelope.

[BibT_eX]

[DOI]

Menachem Domb

Guy Leshem

Elisheva Bonchek-Dokow

Esther David

Yuh-Jye Lee

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Compressed learning for time series classification.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Keystroke and Mouse Movement Profiling for Data Loss Prevention.

[BibT_eX]

[DOI]

J. Inf. Sci. Eng., 2015

A Distributed Ensemble Scheme for nonlinear Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Tenth IEEE International Conference on Intelligent Sensors, 2015

2014

Connected vehicle safety science, system, and framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE World Forum on Internet of Things, 2014

Continuous Monitoring and Distributed Anomaly Detection for Ambient Factors.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Internet of Things, 2014

Efficient traffic speed forecasting based on massive heterogenous historical data.

[BibT_eX]

[DOI]

Xing-Yu Chen

Hsing-Kuo Pao

Yuh-Jye Lee

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

Anomaly Detection via Online Oversampling Principal Component Analysis.

[BibT_eX]

[DOI]

Yuh-Jye Lee

Yi-Ren Yeh

Yu-Chiang Frank Wang

IEEE Trans. Knowl. Data Eng., 2013

Is Somebody Watching Your Facebook Newsfeed?

[BibT_eX]

[DOI]

CoRR, 2013

Key Stroke Profiling for Data Loss Prevention.

[BibT_eX]

[DOI]

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Frequent Pattern Based User Behavior Anomaly Detection for Cloud System.

[BibT_eX]

[DOI]

Chien-Yi Chiu

Chi-Tien Yeh

Yuh-Jye Lee

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Energy Disaggregation via Clustered Regression Models: A Case Study in the Convenience Store.

[BibT_eX]

[DOI]

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Solving Nonlinear SVM in Linear Time? A Nyström Approximated SVM with Applications to Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 13. IAPR International Conference on Machine Vision Applications, 2013

Malicious URL filtering - A big data application.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

A Hierarchical Framework Using Approximated Local Outlier Factor for Efficient Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Ambient Systems, 2013

2012

An RSVM based two-teachers-one-student semi-supervised learning algorithm.

[BibT_eX]

[DOI]

Chien-Chung Chang

Hsing-Kuo Pao

Yuh-Jye Lee

Neural Networks, 2012

Malicious URL Detection Based on Kolmogorov Complexity Estimation.

[BibT_eX]

[DOI]

Hsing-Kuo Pao

Yan-Lin Chou

Yuh-Jye Lee

Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Clock Skew Based Client Device Identification in Cloud Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE 26th International Conference on Advanced Information Networking and Applications, 2012

2011

A novel framework for multi-class classification via ternary smooth support vector machine.

[BibT_eX]

[DOI]

Chih-Cheng Chang

Li-Jen Chien

Yuh-Jye Lee

Pattern Recognit., 2011

Rank-r Updating Techniques for Fast Exact Cross-Validation.

[BibT_eX]

Yi-Cheng Tseng

Yuh-Jye Lee

Proceedings of the Advances in Data Mining. 11th Industrial Conference, 2011

Locality-constrained group sparse representation for robust face recognition.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010

Variant Methods of Reduced Set Selection for Reduced Support Vector Machines.

[BibT_eX]

[DOI]

Li-Jen Chien

Chien-Chung Chang

Yuh-Jye Lee

J. Inf. Sci. Eng., 2010

Multiclass support vector classification via coding and regression.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Semi-supervised Learning for False Alarm Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Robust 1-Norm Soft Margin Smooth Support Vector Machine.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

2009

Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.

[BibT_eX]

[DOI]

Yi-Ren Yeh

Su-Yun Huang

Yuh-Jye Lee

IEEE Trans. Knowl. Data Eng., 2009

Periodic step-size adaptation in second-order gradient descent for single-pass on-line structured learning.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Periodic Step Size Adaptation for Single Pass On-line Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2007

Reduced Support Vector Machines: A Statistical Theory.

[BibT_eX]

[DOI]

Yuh-Jye Lee

Su-Yun Huang

IEEE Trans. Neural Networks, 2007

Model selection for support vector machines via uniform design.

[BibT_eX]

[DOI]

Chien-Ming Huang

Yuh-Jye Lee