The identification of irrationally allocated resources in business process based on network centrality analysis. - Li-Juan Li; Jianmin Gao; Kun Chen; Hong-Quan Jiang (Int. J. Comput. Integr. Manuf., 2011)

A Methodology for Accuracy Assessment of Information Quality in the Processing Production System. - Zhiyong Gao; Jianmin Gao; Rongxi Wang; Yanjie Liang; Hongquan Jiang (ICIQ, 2017)

Information Transfer-Based Root Cause Tracing for Information Quality Problems of Complex Electromechanical Systems in Process Industry. - Rongxi Wang; Jianmin Gao; Zhiyong Gao; Yanjie Liang; Hongquan Jiang (ICIQ, 2017)

Interaction analysis-based information modeling of complex electromechanical systems in the processing industry. - Rongxi Wang; Jianmin Gao; Zhiyong Gao; Xu Gao; Hongquan Jiang; Zeming Liang (J. Syst. Control. Eng., 2017)

Evidence fusion-based framework for condition evaluation of complex electromechanical system in process industry. - Hongquan Jiang; Rongxi Wang; Jianmin Gao; Zhiyong Gao; Xu Gao (Knowl. Based Syst., 2017)

A similarity-based method for remaining useful life prediction based on operational reliability. - Zeming Liang; Jianmin Gao; Hongquan Jiang; Xu Gao; Zhiyong Gao; Rongxi Wang (Appl. Intell., 2018)

Fault Recognition Technology for Pipeline Systems Based on Multi-feature Fusion of Monitoring Data. - Hongquan Jiang; Jianmin Gao; Fengshe Xia; Xiaoming Zhang; Tao Zhou; Dongcheng Liu (ICPHM, 2019)

A Degradation Degree Considered Method for Remaining Useful Life Prediction Based on Similarity. - Zeming Liang; Jianmin Gao; Hongquan Jiang; Xu Gao; Zhiyong Gao; Rongxi Wang (Comput. Sci. Eng., 2019)

Classification of weld defects based on the analytical hierarchy process and Dempster-Shafer evidence theory. - Hongquan Jiang; Rongxi Wang; Zhiyong Gao; Jianmin Gao; Hongye Wang (J. Intell. Manuf., 2019)

A dilated convolution network-based LSTM model for multi-step prediction of chaotic time series. - Rongxi Wang; Caiyuan Peng; Jianmin Gao; Zhiyong Gao; Hongquan Jiang (Comput. Appl. Math., 2020)

Weld defect classification in radiographic images using unified deep neural network with multi-level features. - Lu Yang; Hongquan Jiang (J. Intell. Manuf., 2021)

An end-to-end welding defect detection approach based on titanium alloy time-of-flight diffraction images. - Zelin Zhi; Hongquan Jiang; Deyan Yang; Jianmin Gao; Quansheng Wang; Xiaoqiao Wang; Jingren Wang; Yongxiang Wu (J. Intell. Manuf., 2023)

Contrastive learning of defect prototypes under natural language supervision. - Huyue Cheng; Hongquan Jiang; Haobo Yan; Wanjun Zhang (Adv. Eng. Informatics, 2024)

Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement. - Deyan Yang; Hongquan Jiang; Song Ai; Tianlun Yang; Zelin Zhi; Deqiang Jing; Jianmin Gao; Kun Yue; Huyue Cheng; Yongjun Xu (Eng. Appl. Artif. Intell., 2024)

Casting defect region segmentation method based on dual-channel encoding-fusion decoding network. - Hongquan Jiang; Xinguang Zhang; Chenyue Tao; Song Ai; Yonghong Wang; Jicheng He; He Yang; Deyan Yang (Expert Syst. Appl., 2024)

A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network. - Hongquan Jiang; Deyan Yang; Zelin Zhi; Qiangzheng Jing; Jianmin Gao; Chenyue Tao; Zhixiang Cheng (J. Intell. Manuf., 2024)

Multiscale welding defect detection method based on image adaptive enhancement. - Huyue Cheng; Hongquan Jiang; Deqiang Jing; Lei Huang; Jianmin Gao; Yong Zhang; Bo Meng (Knowl. Based Syst., 2025)

Casting defect-detection method based on multi-image feature of fusion artificial intelligence model. - Deyan Yang; Hongquan Jiang; He Yang; Yonghong Wang; Zhen Liu; Xinguang Zhang; Huyue Cheng (Appl. Intell., 2025)