[1] Zhuofu Pan, Yalin Wang, Yue Cao, et al. VAE-BasedInterpretable Latent VariableModel for Process Monitoring [J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(5): 6075-6088. (SCI, IF: 10.2)

[2] Zhuofu Pan, Yalin Wang, Kai Wang, et al. Imputation of missing values in time series using anadaptive-learned median-filled deep autoencoder[J]. IEEE Transactions on Cybernetics, 2023, 53(2):695-706. (SCI, IF: 9.4)

[3] Zhuofu Pan, Yalin Wang, Kai Wang, et al. Layer‐wise contribution‐filtered propagation for deep learning‐based fault isolation[J]. International Journal of Robust and Nonlinear Control, 2022, 32(17): 9120-9138. (SCI, IF: 3.2)

[4] Zhuofu Pan, Yalin Wang, Xiaofeng Yuan, et al. A classification-driven neuron-grouped SAE for featurerepresentation and its application to fault classification in chemical processes[J]. Knowledge-Based Systems, 2021, 230(27): 107350. (SCI, IF: 7.2)

[5] Yalin Wang, Zhuofu Pan, Xiaofeng Yuan, et al. A novel deep learning based fault diagnosisapproach for chemical process with extended deep belief network[J]. ISA Transactions, 2020, 96:457-467. (SCI, IF: 6.3)

主要课题：

[1] 国家自然科学基金委员会, 面上项目, 62173346, 基于深度学习的流程工业过程时空大数据软测量建模研究, 2022-01-01 至 2025-12-31, 57万元, 在研, 参与。

[2] 国家自然科学基金委员会, 重大研究计划, 92067107, 流程工业生产要素多维数据表征方法与结构化组织机理研究, 2021-01-01 至 2023-12-31, 79万元, 资助期满, 参与。

[3] 湘江实验室揭榜挂帅项目，基于多模态AI预训练模型的人形机器人关键技术研究，2024-2025，在研, 参与。

[4] 横向课题，可解释深度网络驱动的工业过程故障诊断方法研究，2024-2025，在研，主持。

主要著作：