An Integrated Modeling Framework for Multivariate Poisson Process with Temporal and Spatial Correlations. - Cang Wu; Shubin Si (IEEM, 2020)

The {1, 2, 3, 1m}-inverses: A generalization of core inverses for matrices. - Cang Wu; Jianlong Chen (Appl. Math. Comput., 2022)

Copula-based CUSUM charts for monitoring infectious disease using Markovian Poisson processes. - Cang Wu; Shubin Si; Wenpo Huang; Wei Jiang (Comput. Ind. Eng., 2022)

Nonparametric monitoring of high-dimensional processes via EWMA control charts based on random forest learning. - Cang Wu; Dong Wang; Min Luo; Wenpo Huang; Zexin Si (Comput. Ind. Eng., 2025)

Fast Initial Response-Based Exponentially Weighted Moving Average Maximum Chart for Joint Monitoring the Mean and Variance With Time-Varying Control Limits. - Cang Wu; Min Luo; Dong Wang; Mingliang Wang; Wenpo Huang (Qual. Reliab. Eng. Int., 2025)