Design Decomposition for Cross-organizational Assignment of Design Tasks. - Xianghui Meng; You-Bai Xie (Concurr. Eng. Res. Appl., 2010)

Research on Intelligent Manufacturing Training System Based on Industrial Metaverse. - Yuqi Zhou; Tan Li 003; Bohu Li 001; Gang Wu; Xianghui Meng; Jin Guo; Nengwen Wan; Jingyu Zhu; Shimei Li; Weining Song; Chunhui Su; Nanjiang Chen; et al. (AsiaSim (1), 2023)

Research on Fatigue Driving Detection System Based on Face Recognition. - Xianghui Meng; Melinda A. Beninsig (ICAICE, 2023)

Research on Converter Steelmaking Expert System Based on Knowledge Graph. - Xianghui Meng; Tan Li 003; Meng Chen; Nanjiang Chen; Weining Song; Qi Wang 103; Yanwei Lin; Lixin Yuan; Kai Tian; Ligang Sun; Jianwen Lu; Zhaopeng Zhang (IoTAAI, 2023)

Multiple local domains transfer network for equipment fault intelligent identification. - Yinjun Wang; Liang Ge; Chunrong Xue; Xiaobo Li; Xianghui Meng; Xiaoxi Ding (Eng. Appl. Artif. Intell., 2023)

Innovation design oriented functional knowledge integration framework based on reinforcement learning. - Xiang Lan; Yahong Hu; Youbai Xie; Xianghui Meng; Yilun Zhang; Qiangang Pan; Yishen Ding (Adv. Eng. Informatics, 2023)

CBKI: A confidence-based knowledge integration framework for multi-choice machine reading comprehension. - Xianghui Meng; Yang Song 010; Qingchun Bai; Taoyi Wang (Knowl. Based Syst., 2023)

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)

Research on Worker Action Recognition and Evaluation in Intelligent Manufacturing Training Based on Industrial Metaverse. - Gang Wu; Tan Li; Yuqi Zhou; Jin Guo; Jingyu Zhu; Nanjiang Chen; Weining Song; Yalan Xing; Xianghui Meng; Yanwen Lin; Qi Wang; Runqiang Li (AsiaSim, 2024)

Deep Learning-Driven Innovative Model for Generating Functional Knowledge Units. - Qiangang Pan; Yahong Hu; Youbai Xie; Xianghui Meng; Yilun Zhang (ICDAR (4), 2024)

Multiscale lubrication simulation based on fourier feature networks with trainable frequency. - Yihu Tang; Li Huang; Limin Wu; Xianghui Meng (CoRR, 2024)

LPDD-SSAN: Limited Physics Data Diffusion Guided Selection Sparsity-Aware Attention Network for Engine Valve Wear Prediction. - Jilong Guo; Rui Li 101; Guodong Li; Yao Gong; Enzhe Song; Yanmin Zhou; Xianghui Meng (IEEE Trans. Instrum. Meas., 2025)

Corrections to "LPDD-SSAN: Limited Physics Data Diffusion Guided Selection Sparsity-Aware Attention Network for Engine Valve Wear Prediction". - Jilong Guo; Rui Li 101; Guodong Li; Yao Gong; Enzhe Song; Yanmin Zhou; Xianghui Meng (IEEE Trans. Instrum. Meas., 2025)