Non-convex logarithm embedding subspace weighted graph approach to fault detection with missing measurements. - Ming-Qing Zhang; Anikesh Kumar; Min-Sen Chiu; Xiong-Lin Luo (Neurocomputing, 2022)

Static and incremental robust kernel factorization embedding graph regularization supporting ill-conditioned industrial data recovery. - Ming-Qing Zhang; Xiong-Lin Luo (Expert Syst. Appl., 2023)

Phased LSTM-Based MPC for Modeling and Control of Nonlinear Systems Using Asynchronous and Delayed Measurement Data. - Wanlu Wu; Yujia Wang; Ming-Qing Zhang; Min-Sen Chiu; Zhe Wu 004 (CDC, 2024)

MDFF: Multi-Domain feature fusion for anomaly recognition. - Yuan Xu; Cheng-Shu Ye; Hai-Ming Niu; Si-Yuan Chen; Yi Luo; Qun-Xiong Zhu; Yan-Lin He; Yang Zhang 032; Ming-Qing Zhang (Adv. Eng. Informatics, 2025)

Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder. - Yan Xu; Qun-Xiong Zhu; Wei Ke 001; Yan-Lin He; Ming-Qing Zhang; Yuan Xu (Comput. Chem. Eng., 2025)

Latent temporal smoothness-induced Schatten-p norm factorization for sequential subspace clustering. - Yuan Xu; Zhen-Zhen Zhao; Tong-Wei Lu; Wei Ke 001; Yi Luo; Yan-Lin He; Qun-Xiong Zhu; Yang Zhang 032; Ming-Qing Zhang (Eng. Appl. Artif. Intell., 2025)

Regression loss-assisted conditional style generative adversarial network for virtual sample generation with small data in soft sensing. - Xue-Yu Zhang; Qun-Xiong Zhu; Wei Ke 001; Yan-Lin He; Ming-Qing Zhang; Yuan Xu (Eng. Appl. Artif. Intell., 2025)

Attention-guided low-rank convolutional weighting for industrial missing data attacks. - Ming-Qing Zhang; Liang-Yu Zhou; Guo-Yu Liu; Yan-Lin He; Qun-Xiong Zhu; Xin-Yi Cao; Yang Zhang 032; Yuan Xu (Eng. Appl. Artif. Intell., 2025)

Multiattention Spatiotemporal Fusion Graph Neural Network for Chemical Process Fault Diagnosis. - Yuan Xu; Chuan Zhang; Yi Luo; Wei Ke 001; Qun-Xiong Zhu; Yan-Lin He; Yang Zhang 032; Ming-Qing Zhang (IEEE Trans. Instrum. Meas., 2025)