A Soft Sensing Prediction Model of Superheat Degree in the Aluminum Electrolysis Production. - Hong Yu 007; Jisen Yang; Xiaofang Chen; Zhong Zou; Guoyin Wang 001; Tao Sang (IEEE BigData, 2018)

A dynamic spatial distributed information clustering method for aluminum electrolysis cell. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Yongfang Xie; Shiwen Xie; Zhong Zou (Eng. Appl. Artif. Intell., 2023)

Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring. - Ziqing Deng; Xiaofang Chen; Yongfang Xie; Zhong Zou; Hongliang Zhang (Inf. Sci., 2023)

A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell. - Yubo Sun; Xiaofang Chen; Lihui Cen; Weihua Gui 001; Chunhua Yang 001; Zhong Zou (Appl. Soft Comput., 2024)

A large-scale graph clustering method for cell conditions spatio-temporal localization in aluminum electrolysis. - Yubo Sun; Weihua Gui 001; Xiaofang Chen; Lihui Cen; Chunhua Yang 001; Zhong Zou (Inf. Sci., 2024)

Multi-scale 4D localized spatio-temporal graph convolutional networks for spatio-temporal sequences forecasting in aluminum electrolysis. - Yubo Sun; Xiaofang Chen; Weihua Gui 001; Lihui Cen; Yongfang Xie; Zhong Zou (Adv. Eng. Informatics, 2025)