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Yang Bo, Wang Hai-run, Li Hong-guang*, He Ya-dong. A Novel Detection of Correlated Alarms with Delays based on Improved Block Matching Similarities. ISA Transactions, 98, 2020: 393-402 Yongjian Wang，Hongguang Li*，Jingwen Huang，Chong Su，Bo Yang，Chu Qi. An improved bar-shaped sliding window CNN tailored to industrial process historical data with applications in chemical operational optimizations. Industrial & Engineering Chemistry Research, 58, 2019: 21219-21232 Yongjian Wang, Hongguang Li*. Complex chemical process evaluations using a new analytic hierarchy process model integrating deep residual network with multi-way principal component analysis. Industrial & Engineering Chemistry Research, 58, 2019: 13889-13899 Bo Yang, Jun-jie Li, Chu Qi, Hong-guang Li*, Ya-dong He. Novel Correlation Analysis of Alarms Based on Block Matching Similarities. Industrial & Engineering Chemistry Research, 58, 2019: 9465-9472 Yongjian Wang, Jingwen Huang, Chong Su, Hongguang Li*. Furnace thermal efficiency modeling using an improved convolution neural network based on parameter-adaptive mnemonic enhancement optimization. Applied Thermal Engineering, 149, 2019: 332-343 Chong Su, Yue Gao, Bingxu Jiang, Hongguang Li*. An Affective Cognition based Approach to Multi-attribute Group Decision Making. Journal of intelligent & Fuzzy Systems, 35(1), 2018: 11-33 Bo Yang, Hongguang Li*. A novel dynamic timed fuzzy Petri nets modeling method with applications to industrial processes. Expert Systems with Applications, 97, 2018: 276-289 Bo Yang, Hongguang Li*. A dynamic time delay analysis approach for correlated process variables, Chemical Engineering Research and Design, 122, 2017:141-150 Jia Wang, Hongguang Li*, Jingwen Huang, Chong Su. Association rules mining based analysis of consequential alarm sequences in chemical processes. Journal of Loss Prevention in the Process Industries, 41, 2016:178-185 Jia Wang, Hongguang Li*, Jingwen Huang, Chong Su. Association rules mining based analysis of consequential alarm sequences in chemical processes. Journal of Loss Prevention in the Process Industries, 41, 2016:178-185