Mingxi Ai

16 papers Journal 15Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Sentinel-Based Adaptive Hybrid Soft Sensing Method for Industrial Process Monitoring.
IEEE Trans. Instrum. Meas.
Jin Zhang, Mingxi Ai, Zhaohui Tang, Yongfang Xie, Jun Ma, Jiande Wu
2025 J jnl
Adaptive chemical industrial processes fault detection model based on Sparse Filtering-based Improved Mixed-Gaussian Probabilistic Principal Component Analysis considering low-probability events.
Eng. Appl. Artif. Intell.
Chuangyan Yang, Jiande Wu, Peng Li, Xun Lang, Mingxi Ai, Hancheng Wang
2025 J jnl
Data-Efficient Soft Sensing Learning for Flotation Process Monitoring.
IEEE Trans. Instrum. Meas.
Jin Zhang, Mingxi Ai, Zhaohui Tang, Yongfang Xie, Jiande Wu, Jun Ma
2025 J jnl
Forward Selection Component Variable and Dynamic Inner Manifold Learning for Process Monitoring.
IEEE Trans. Instrum. Meas.
Hancheng Wang, Peng Li, Jiande Wu, Mingxi Ai, Chuangyan Yang
2025 J jnl
Semi-supervised contrastive learning for flotation process monitoring with uncertainty-aware prototype optimization.
Eng. Appl. Artif. Intell.
Mingxi Ai, Jin Zhang, Peng Li, Jiande Wu, Zhaohui Tang, Yongfang Xie
2025 J jnl
Temperature Prediction in Discrete-Continuous Hybrid Tin Chemical Process Using Trapezoidal Rule and Improved Stochastic Configuration Networks.
IEEE Trans. Ind. Electron.
Chuangyan Yang, Peng Li, Mingxi Ai, Jiande Wu
2023 J jnl
Domain Knowledge Distillation and Supervised Contrastive Learning for Industrial Process Monitoring.
IEEE Trans. Ind. Electron.
Mingxi Ai, Yongfang Xie, Steven X. Ding, Zhaohui Tang, Weihua Gui
2023 J jnl
Semisupervised Contrastive Memory Network for Industrial Process Working Condition Monitoring.
IEEE Trans. Instrum. Meas.
Zhaohui Tang, Jin Zhang, Yongfang Xie, Steven X. Ding, Mingxi Ai
2022 J jnl
Disturbance-Encoding-Based Neural Hammerstein-Wiener Model for Industrial Process Predictive Control.
IEEE Trans. Syst. Man Cybern. Syst.
Jin Zhang, Zhaohui Tang, Yongfang Xie, Fanbiao Li, Mingxi Ai, Guoyong Zhang, Weihua Gui
2022 J jnl
Generative adversarial network-based image-level optimal setpoint calculation for flotation reagents control.
Expert Syst. Appl.
Jin Zhang, Zhaohui Tang, Yongfang Xie, Mingxi Ai, Weihua Gui
2021 J jnl
Deep learning feature-based setpoint generation and optimal control for flotation processes.
Inf. Sci.
Mingxi Ai, Yongfang Xie, Zhaohui Tang, Jin Zhang, Weihua Gui
2021 J jnl
Two-Stream Deep Feature-Based Froth Flotation Monitoring Using Visual Attention Clues.
IEEE Trans. Instrum. Meas.
Mingxi Ai, Yongfang Xie, Zhaohui Tang, Jin Zhang, Weihua Gui
2020 J jnl
Fuzzy association rule-based set-point adaptive optimization and control for the flotation process.
Neural Comput. Appl.
Mingxi Ai, Yongfang Xie, Shiwen Xie, Jin Zhang, Weihua Gui
2019 J jnl
Data-driven-based adaptive fuzzy neural network control for the antimony flotation plant.
J. Frankl. Inst.
Mingxi Ai, Yongfang Xie, Shiwen Xie, Fanbiao Li, Weihua Gui
2019 — conf
Flotation Fault Diagnosis Method Using Statistical Approaches.
CBD
Jin Zhang, Zhaohui Tang, Yongfang Xie, Mingxi Ai, Weihua Gui
2018 J jnl
Fuzzy Association Rule Based Froth Surface Behavior Control in Zinc Froth Flotation.
Symmetry
Jin Zhang, Zhaohui Tang, Mingxi Ai, Weihua Gui