An Adaptive Optimization Approach Based on the Human factors and Its Application to Process Alarm Thresholds. - Jince Li; Yongjian Wang; Hongguang Li; Bo Yang (ASCC, 2019)

DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models. - Jince Li; Bo Yang; Hongguang Li; Yongjian Wang; Chu Qi; Yi Liu (Knowl. Based Syst., 2021)

MP-CRJ: Multi-parallel cycle reservoirs with jumps for industrial multivariate time series predictions. - Hongguang Li; Wenjing Zhao; Yilin Shi; Jince Li (Trans. Inst. Meas. Control, 2022)

An Imbalanced Data Augmentation and Assessment Method for Industrial Process Fault Classification With Application in Air Compressors. - Yilin Shi; Jince Li; Hongguang Li; Bo Yang 052 (IEEE Trans. Instrum. Meas., 2023)

TC-GATN: Temporal Causal Graph Attention Networks With Nonlinear Paradigm for Multivariate Time-Series Forecasting in Industrial Processes. - Jince Li; Yilin Shi; Hongguang Li; Bo Yang (IEEE Trans. Ind. Informatics, 2023)

Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes. - Min Yin; Jince Li; Yilin Shi; Chu Qi; Hongguang Li (Expert Syst. Appl., 2024)