Data driven injection molding process monitoring using sparse auto encoder technique. - Ting Mao; Yun Zhang 010; Huamin Zhou; Dequn Li; Zhigao Huang; Huang Gao 001 (AIM, 2015)

Machining vibration states monitoring based on image representation using convolutional neural networks. - Yang Fu; Yun Zhang 010; Yuan Gao; Huang Gao 001; Ting Mao; Huamin Zhou; Dequn Li (Eng. Appl. Artif. Intell., 2017)

Feature learning and process monitoring of injection molding using convolution-deconvolution auto encoders. - Ting Mao; Yun Zhang 010; Yufei Ruan; Huang Gao 001; Huamin Zhou; Dequn Li (Comput. Chem. Eng., 2018)

Automatic feature constructing from vibration signals for machining state monitoring. - Yang Fu; Yun Zhang 010; Huang Gao 001; Ting Mao; Huamin Zhou; Ronglei Sun; Dequn Li (J. Intell. Manuf., 2019)

Image classification method on class imbalance datasets using multi-scale CNN and two-stage transfer learning. - Jiahuan Liu; Fei Guo; Huang Gao 001; Zhigao Huang; Yun Zhang 010; Huamin Zhou (Neural Comput. Appl., 2021)

Intelligent setting of process parameters for injection molding based on case-based reasoning of molding features. - Shengrui Yu; Tianfeng Zhang; Yun Zhang 010; Zhigao Huang; Huang Gao 001; Wen Han; Lih-Sheng Turng; Huamin Zhou (J. Intell. Manuf., 2022)