Random walk and linear switching systems. - Yulei Pang; Alex Wang; Xiaozhen Xue; Clyde F. Martin (Commun. Inf. Syst., 2012)

Identifying Effective Test Cases through K-Means Clustering for Enhancing Regression Testing. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA (2), 2013)

Trimming Test Suites with Coincidentally Correct Test Cases for Enhancing Fault Localizations. - Xiaozhen Xue; Yulei Pang; Akbar Siami Namin (COMPSAC, 2014)

A Clustering-Based Grouping Model for Enhancing Collaborative Learning. - Yulei Pang; Feiya Xiao; Huaying Wang; Xiaozhen Xue (ICMLA, 2014)

Feature Selections for Effectively Localizing Faulty Events in GUI Applications. - Xiaozhen Xue; Yulei Pang; Akbar Siami Namin (ICMLA, 2014)

Diversity and anxiety: A case study on collaborative testing. - Yulei Pang; Raymond Mugno; Xiaozhen Xue (FIE, 2015)

Constructing Collaborative Learning Groups with Maximum Diversity Requirements. - Yulei Pang; Raymond Mugno; Xiaozhen Xue; Huaying Wang (ICALT, 2015)

Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA, 2015)

Debugging in Parallel or Sequential: An Empirical Study. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (J. Softw., 2015)

Early Identification of Vulnerable Software Components via Ensemble Learning. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (ICMLA, 2016)

Predicting students' graduation outcomes through support vector machines. - Yulei Pang; Nicolas Judd; Joseph O'Brien; Michael Ben-Avie (FIE, 2017)

Predicting Vulnerable Software Components through Deep Neural Network. - Yulei Pang; Xiaozhen Xue; Huaying Wang (ICDLT, 2017)

Fault Localizations Through Feature Selections. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (Int. J. Softw. Eng. Knowl. Eng., 2017)

A Clustering-Based Test Case Classification Technique for Enhancing Regression Testing. - Yulei Pang; Xiaozhen Xue; Akbar Siami Namin (J. Softw., 2017)

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 (IEEE BigData, 2019)

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 (IEEE Big Data, 2022)

Identification of Adipogenic and Osteogenic Differentiation using transfer learning of ResNet-18. - Maxwell Mai; Shuai Luo; Shue Wang; Yulei Pang (ICMLA, 2023)

Identifying Which Clients Will Cancel Their Insurance Policy Machine Learning Methods. - Kate Narain; Yulei Pang (COMPSAC, 2024)