The Application of Dynamical Management Based on Ontology-Based Simulation Case-Based Description and Reasoning. - Xiayi Gong; Bohu Li 001; Xudong Chai; Yabin Zhang; Mu Gu (AsiaSim (2), 2012)

Modeling IoT Equipment With Graph Neural Networks. - Weishan Zhang; Yafei Zhang; Liang Xu 009; Jiehan Zhou; Yan Liu 001; Mu Gu; Xin Liu 022; Su Yang 001 (IEEE Access, 2019)

Revisiting Digital Twins: Origins, Fundamentals and Practices. - Jiehan Zhou; Shouhua Zhang; Mu Gu (CoRR, 2022)

Homophily Learning-Based Federated Intelligence: A Case Study on Industrial IoT Equipment Failure Prediction. - Xingjie Zeng; Zepei Yu; Weishan Zhang; Xiao Wang 002; Qinghua Lu 001; Tao Wang 172; Mu Gu; Yonglin Tian; Fei-Yue Wang 001 (IEEE Internet Things J., 2023)

IR4AAS: An Identification Resolution-Enhanced AAS for Digital Twins Modeling. - Mu Gu; Fangfang Gao; Lin Lin; Chunhui Su; Zhe Han; Hua Zhang; Yandong Li; Quanbo Lu; Jiehan Zhou (AsiaSim, 2024)

Research on Digital Twin Technology for Converter Steelmaking. - Xianghui Meng; Tan Li 003; Jin Guo; Jingyu Zhu; Weining Song; Yalan Xing; Wu Lv; Mu Gu; Meng Chen; Nanjiang Chen; Gang Wu; Haonan Bu (AsiaSim, 2024)

WaterTS: Integrating Enhanced Transformer, Sliding Block, and Channel Independence for Long-term Water Quality Prediction. - Jing Bi 001; Lifeng Xu; Ziqi Wang 011; Haitao Yuan 001; Shichao Chen; Mu Gu; MengChu Zhou (CASE, 2024)

A Contribution-Aware Federated Framework for Electric Vehicle Batteries Health Estimation. - Bingyang Chen; Lulu Fan; Xingjie Zeng; Mu Gu; Jiehan Zhou (IEEE Internet Things J., 2025)

Brain-Like Cognition-Driven Model Factory for IIoT Fault Diagnosis by Combining LLMs With Small Models. - Yuru Liu; Weishan Zhang; Zhicheng Bao; Xudong Chai; Mu Gu; Wei Jiang; Zichao Zhang; Ye Tian; Fei-Yue Wang 001 (IEEE Internet Things J., 2025)