Yulei Pang

According to our database, Yulei Pang authored at least 18 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Identifying Which Clients Will Cancel Their Insurance Policy Machine Learning Methods.

Kate Narain, Yulei Pang

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18.

Maxwell Mai, Shuai Luo, Shue Wang, Yulei Pang

Proceedings of the International Conference on Machine Learning and Applications, 2023

2022

Application of Time Series Analysis Methods to Assess the impact of COVID-19 on Carbon Dioxide Emission Reduction in Connecticut.

Katherine A. Kiernan, Hao Wu, Raymond Mugno, Yulei Pang

Proceedings of the IEEE International Conference on Big Data, 2022

2019

Comparison of Support Vector Machine and Gradient Boosting Regression Tree for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts: A case study in corn production.

Xiaobo Xue Romeiko, Zhijian Guo, Yulei Pang

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

2017

A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

J. Softw., 2017

Fault Localizations Through Feature Selections.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

Int. J. Softw. Eng. Knowl. Eng., 2017

Predicting Vulnerable Software Components through Deep Neural Network.

Yulei Pang, Xiaozhen Xue, Huaying Wang

Proceedings of the 2017 International Conference on Deep Learning Technologies, 2017

Predicting students' graduation outcomes through support vector machines.

Yulei Pang, Nicolas Judd, Joseph O'Brien, Michael Ben-Avie

Proceedings of the 2017 IEEE Frontiers in Education Conference, 2017

2016

Early Identification of Vulnerable Software Components via Ensemble Learning.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015

Debugging in Parallel or Sequential: An Empirical Study.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

J. Softw., 2015

Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Constructing Collaborative Learning Groups with Maximum Diversity Requirements.

Yulei Pang, Raymond Mugno, Xiaozhen Xue, Huaying Wang

Proceedings of the 15th IEEE International Conference on Advanced Learning Technologies, 2015

Diversity and anxiety: A case study on collaborative testing.

Yulei Pang, Raymond Mugno, Xiaozhen Xue

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015

2014

Feature Selections for Effectively Localizing Faulty Events in GUI Applications.

Xiaozhen Xue, Yulei Pang, Akbar Siami Namin

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

A Clustering-Based Grouping Model for Enhancing Collaborative Learning.

Yulei Pang, Feiya Xiao, Huaying Wang, Xiaozhen Xue

Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations.

Xiaozhen Xue, Yulei Pang, Akbar Siami Namin

Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

2013

Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing.

Yulei Pang, Xiaozhen Xue, Akbar Siami Namin

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012

Random walk and linear switching systems.

Yulei Pang, Alex Wang, Xiaozhen Xue, Clyde F. Martin

Commun. Inf. Syst., 2012