Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation. - Jin Zhang 005; Zhaohui Tang; Mingxi Ai; Weihua Gui 001 (Symmetry, 2018)

Flotation Fault Diagnosis Method Using Statistical Approaches. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Mingxi Ai; Weihua Gui 001 (CBD, 2019)

Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant. - Mingxi Ai; Yongfang Xie; Shiwen Xie; Fanbiao Li; Weihua Gui 001 (J. Frankl. Inst., 2019)

Fuzzy association rule-based set-point adaptive optimization and control for the flotation process. - Mingxi Ai; Yongfang Xie; Shiwen Xie; Jin Zhang 005; Weihua Gui 001 (Neural Comput. Appl., 2020)

Deep learning feature-based setpoint generation and optimal control for flotation processes. - Mingxi Ai; Yongfang Xie; Zhaohui Tang; Jin Zhang 005; Weihua Gui 001 (Inf. Sci., 2021)

Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues. - Mingxi Ai; Yongfang Xie; Zhaohui Tang; Jin Zhang 005; Weihua Gui 001 (IEEE Trans. Instrum. Meas., 2021)

Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Mingxi Ai; Weihua Gui 001 (Expert Syst. Appl., 2022)

Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control. - Jin Zhang 005; Zhaohui Tang; Yongfang Xie; Fanbiao Li; Mingxi Ai; Guoyong Zhang; Weihua Gui 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring. - Zhaohui Tang; Jin Zhang 005; Yongfang Xie; Steven X. Ding; Mingxi Ai (IEEE Trans. Instrum. Meas., 2023)

Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring. - Mingxi Ai; Yongfang Xie; Steven X. Ding; Zhaohui Tang; Weihua Gui 001 (IEEE Trans. Ind. Electron., 2023)

Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization. - Mingxi Ai; Jin Zhang 005; Peng Li; Jiande Wu; Zhaohui Tang; Yongfang Xie (Eng. Appl. Artif. Intell., 2025)

Forward Selection Component Variable and Dynamic Inner Manifold Learning for Process Monitoring. - Hancheng Wang; Peng Li 039; Jiande Wu; Mingxi Ai; Chuangyan Yang (IEEE Trans. Instrum. Meas., 2025)

A Sentinel-Based Adaptive Hybrid Soft Sensing Method for Industrial Process Monitoring. - Jin Zhang 005; Mingxi Ai; Zhaohui Tang; Yongfang Xie; Jun Ma 009; Jiande Wu (IEEE Trans. Instrum. Meas., 2025)

Data-Efficient Soft Sensing Learning for Flotation Process Monitoring. - Jin Zhang 005; Mingxi Ai; Zhaohui Tang; Yongfang Xie; Jiande Wu; Jun Ma 009 (IEEE Trans. Instrum. Meas., 2025)

Temperature Prediction in Discrete-Continuous Hybrid Tin Chemical Process Using Trapezoidal Rule and Improved Stochastic Configuration Networks. - Chuangyan Yang; Peng Li 039; Mingxi Ai; Jiande Wu (IEEE Trans. Ind. Electron., 2025)