A classification-driven neuron-grouped SAE for feature representation and its application to fault classification in chemical processes. - Zhuofu Pan; Yalin Wang 003; Xiaofeng Yuan; Chunhua Yang 001; Weihua Gui 001 (Knowl. Based Syst., 2021)

Fault Diagnosis Based on Multiscale Multivariate Dispersive Entropy and Bayesian-optimized LSTM Networks for Motor Bearing. - Ling Li; Yucheng Ma; Jiaxin Li; Kaixuan Lan; Menglong Wang; Zhuofu Pan (SAFEPROCESS, 2023)

Cascaded Structural State Observer Considering Interlayer Closure Error Minimization. - Menglong Wang; Ling Li; Kaixuan Lan; Zhuofu Pan (CRC, 2023)

No-Delay Multimodal Process Monitoring Using Kullback-Leibler Divergence-Based Statistics in Probabilistic Mixture Models. - Yue Cao 004; Nabil Magbool Jan; Biao Huang 001; Yalin Wang 003; Zhuofu Pan; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 2023)

Imputation of Missing Values in Time Series Using an Adaptive-Learned Median-Filled Deep Autoencoder. - Zhuofu Pan; Yalin Wang 003; Kai Wang 024; Hongtian Chen; Chunhua Yang 001; Weihua Gui 001 (IEEE Trans. Cybern., 2023)

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-based Input-Output Decoupled Network. - Zhuofu Pan; Qingkai Sui; Yalin Wang 003; Jiang Luo; Jie Chen; Hongtian Chen (CoRR, 2024)

VAE-Based Interpretable Latent Variable Model for Process Monitoring. - Zhuofu Pan; Yalin Wang 003; Yue Cao 004; Weihua Gui 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A new generative adversarial networks-based fault diagnosis framework: Learning a mapping to estimate fault. - Ling Li; Zhuofu Pan; Yucheng Ma; Zhiwen Chen 001; Jie Chen; Yalin Wang 003 (Neurocomputing, 2025)