Prediction intervals for industrial data with incomplete input using kernel-based dynamic Bayesian networks. - Long Chen 012; Ying Liu 015; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2016)

Variational Inference-Based Automatic Relevance Determination Kernel for Embedded Feature Selection of Noisy Industrial Data. - Jun Zhao 004; Long Chen 012; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Ind. Electron., 2019)

Spark Parallel Acceleration-Based Optimal Scheduling for Air Compressor Group. - Long Chen 012; Xiaojuan Zhang; Jun Zhao 004; Wei Wang 036 (ISNN, 2020)

A deep granular network with adaptive unequal-length granulation strategy for long-term time series forecasting and its industrial applications. - Qiang Wang; Long Chen 012; Jun Zhao 004; Wei Wang 036 (Artif. Intell. Rev., 2020)

Variational inference based kernel dynamic Bayesian networks for construction of prediction intervals for industrial time series with incomplete input. - Long Chen 012; Linqing Wang; Zhongyang Han; Jun Zhao 004; Wei Wang 036 (IEEE CAA J. Autom. Sinica, 2020)

A Novel Semi-Supervised Sparse Bayesian Regression Based on Variational Inference for Industrial Datasets With Incomplete Outputs. - Jun Zhao 004; Long Chen 012; Witold Pedrycz; Wei Wang 036 (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Incremental Bayesian broad learning system and its industrial application. - Ying Liu 015; Yifei Wang; Long Chen 012; Jun Zhao 004; Wei Wang 036; Quanli Liu (Artif. Intell. Rev., 2021)

A review of system modeling, assessment and operational optimization for integrated energy systems. - Jun Zhao 004; Long Chen 012; Yinan Wang; Quanli Liu (Sci. China Inf. Sci., 2021)

Relevance Vector Machines-Based Time Series Prediction for Incomplete Training Dataset: Two Comparative Approaches. - Long Chen 012; Linqing Wang; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2021)

A Gaussian Approximation of Marginal Likelihood in Relevance Vector Machine for Industrial Data With Input Noise. - Long Chen 012; Jun Zhao 004; Wei Wang 036; Qingshan Xu 002 (IEEE Trans. Instrum. Meas., 2021)

Multiple imputation based on Bayesian principal component analysis and bootstrap. - Ying Liu 015; Yunchong Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (ASCC, 2022)

A probabilistic multi-criteria evaluation framework for integrated energy system planning. - Fan Zhou 006; Long Chen 012; Jun Zhao 004; Wei Wang 036 (Inf. Sci., 2022)

Embedded Feature Selection Based on Relevance Vector Machines With an Approximated Marginal Likelihood and its Industrial Application. - Wange Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Time series prediction with input noise based on the ESN and the EM and its industrial applications. - Ying Liu 015; Long Chen 012; Yunchong Li; Jun Zhao 004; Wei Wang 036 (Expert Syst. Appl., 2023)

Accelerating AI Adoption with Responsible AI Signals and Employee Engagement Mechanisms in Health Care. - Wei Wang 036; Long Chen 012; Mengran Xiong; Yichuan Wang 001 (Inf. Syst. Frontiers, 2023)

Hybrid Physics- and Data-Driven Dynamic State Estimation of Electricity-Heat Integrated Energy Systems. - Long Chen 012; Chun Qin; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2024)

Mechanism and Data-Driven Dual Estimation of Coupling Hydraulic-Thermal States for Steam Heating Networks Considering Multi-Time-Scale Characteristics. - Wange Li; Long Chen 012; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Cybern., 2024)

Dynamic Modeling of Multioperating Conditions for a Three-Converter Gas Holder System in Steel Industry by Using Time-Varying Dynamic Bayesian Networks. - Long Chen 012; Yaliang Yan; Jun Zhao 004; Wei Wang 036 (IEEE Trans. Instrum. Meas., 2025)