Chu Qi

An attention transfer entropy based causality analysis with applications in rooting short-term disturbances for chemical processes

Chu Qi, Jince Li, Hongguang Li, 2022, ISA Transactions.

An adaptive mode convolutional neural network based on bar-shaped structures and its operation modeling to complex industrial processes

Yongjian Wang, Hongguang Li, Chu Qi, 2020 .

DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models

Yongjian Wang, Hongguang Li, Bo Yang, 2021, Knowl. Based Syst..

An Improved Bar-Shaped Sliding Window CNN Tailored to Industrial Process Historical Data with Applications in Chemical Operational Optimizations

Yongjian Wang, Hongguang Li, Jingwen Huang, 2019, Industrial & Engineering Chemistry Research.

Hybrid cycle reservoir with jumps for multivariate time series prediction: industrial application in oil drilling process

Hongguang Li, Yongjian Wang, Chu Qi, 2019, Measurement Science and Technology.

Adaptive time window convolutional neural networks concerning multiple operation modes with applications in energy efficiency predictions

Hong-guang Li, Yongjian Wang, Chu Qi, 2021, Energy.

Novel Correlation Analysis of Alarms Based on Block Matching Similarities

Bo Yang, Jun-jie Li, Chu Qi, 2019, Industrial & Engineering Chemistry Research.

Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes

Chu Qi, Jince Li, Min Yin, 2023, Expert systems with applications.

Short-Term Predictions and LIME-Based Rule Extraction for Standard and Poor's Index

Yue Wang, Xiuli Wang, Wenjun Wu, 2020, ICPCSEE.