Demand information acquisition and disclosure in a non-instantaneous deteriorating items supply chain. - Yimeng He; Yeming Gong; Xianpei Hong (Comput. Ind. Eng., 2022)

Causal Generative Model for Root-Cause Diagnosis and Fault Propagation Analysis in Industrial Processes. - Yimeng He; Le Yao; Zhiqiang Ge; Zhihuan Song (IEEE Trans. Instrum. Meas., 2023)

Neural Network Weight Comparison for Industrial Causality Discovering and Its Soft Sensing Application. - Yimeng He; Xiangyin Kong; Le Yao; Zhiqiang Ge (IEEE Trans. Ind. Informatics, 2023)

Demand information sharing in a contract farming supply chain. - Xianpei Hong; Yimeng He; Pin Zhou; Jiguang Chen (Eur. J. Oper. Res., 2023)

Causality-driven Sequence Segmentation for Enhancing Multiphase Industrial Process Data Analysis and Soft Sensing. - Yimeng He; Le Yao; Xinmin Zhang; Xiangyin Kong; Zhihuan Song (CoRR, 2024)

Everlasting Fully Dynamic Group Signatures. - Yimeng He; San Ling; Khai Hanh Tang; Huaxiong Wang (IACR Cryptol. ePrint Arch., 2025)

Causality-driven sequence segmentation assisted soft sensing for multiphase industrial processes. - Yimeng He; Xinmin Zhang; Xiangyin Kong; Le Yao; Zhihuan Song (Neurocomputing, 2025)

Deep Probabilistic Principal Component Analysis for Process Monitoring. - Xiangyin Kong; Yimeng He; Zhihuan Song; Tong Liu 014; Zhiqiang Ge (IEEE Trans. Neural Networks Learn. Syst., 2025)