Ming-Qing Zhang
Orcid: 0000-0001-8649-4360
According to our database1,
Ming-Qing Zhang authored at least 13 papers
between 2022 and 2026.
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Bibliography
2026
Knowledge graph augmented meta-learning with condition-sensitive pseudo-labeling for semi-supervised fault diagnosis under multiple working conditions.
Expert Syst. Appl., 2026
Hard constraints and soft learning dual-graph anomaly detection for industrial processes.
Eng. Appl. Artif. Intell., 2026
2025
Phased Long Short-Term Memory-Based Predictive Control of Chemical Processes With Asynchronous and Delayed Measurements.
IEEE Trans. Control. Syst. Technol., November, 2025
Multiattention Spatiotemporal Fusion Graph Neural Network for Chemical Process Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2025
Attention-guided low-rank convolutional weighting for industrial missing data attacks.
Eng. Appl. Artif. Intell., 2025
Regression loss-assisted conditional style generative adversarial network for virtual sample generation with small data in soft sensing.
Eng. Appl. Artif. Intell., 2025
Latent temporal smoothness-induced Schatten-p norm factorization for sequential subspace clustering.
Eng. Appl. Artif. Intell., 2025
Weighted nonlinear information extension based time series Kolmogorov-Arnold Network for industrial application with soft sensing.
Eng. Appl. Artif. Intell., 2025
Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder.
Comput. Chem. Eng., 2025
Adv. Eng. Informatics, 2025
2024
Phased LSTM-Based MPC for Modeling and Control of Nonlinear Systems Using Asynchronous and Delayed Measurement Data.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Static and incremental robust kernel factorization embedding graph regularization supporting ill-conditioned industrial data recovery.
Expert Syst. Appl., 2023
2022
Non-convex logarithm embedding subspace weighted graph approach to fault detection with missing measurements.
Neurocomputing, 2022