刘庭煜

报刊/标准/白皮书等

[1] 陶飞、刘庭煜、胡天亮，「数字孪生：虚拟的？真实的！」, 光明日报，2023年7月13日

[2] 「数字孪生车间系列标准」，T/CMIF 164. (1-6)，2022

[3] 「数字孪生工业软件白皮书」，2023年第1版，副主编

学术论文

[1] Tingyu Liu, Chenyi Weng,and Zhonghua Ni*,Baicun Wang*, Toward fast 3D human activity recognition:A refined feature based on Minimum Joint Freedom Model(Mint), Journal of Manufacturing Systems, 2023. (SCI, IF=12.1,一区TOP)

[2] Tingyu Liu*, Chenyi Weng, Jun Huang and Zhonghua Ni, A Lightweight Future Skeleton Generation Network(FSGN) Based on Spatio-Temporal Encoding and Decoding, Knowledge-Based Systems, 2024, 306:112717. (SCI, IF=7.2,一区TOP)

[3] Songyang Li, Tingyu Liu*, Qunyan Jiang, Yuanqi Li, Jie Guo, Lei Jiao, Yanwen Guo and Zhonghua Ni, Realistic Simulation of Underwater Scene for Image Enhancement, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2025. (SCI, IF=7.5, 一区TOP)

[4] Yang, Xijin, Chenyi Weng, Lei Jiao, Tingyu Liu*, Jiewu Leng, Yuqian Lu, Baicun Wang, and Zhonghua Ni. 2025. 'ATD-GCN: A human activity recognition approach for human-robot collaboration based on adaptive skeleton tree-decomposition', Robotics and Computer-Integrated Manufacturing, 2025, 95: 103019. (SCI, IF=9.1, 一区TOP)

[5] Mingxing Jiang, Tingyu Liu*, Songyang Li, Xiao Lai, Lei Jiao, and Zhonghua Ni, A deep learning based Visual Inspection of Small-Batch Electronic Assembly using Few-shot-driven Synthetic data, Journal of Intelligent Manufacturing, 2025. (SCI, IF=5.9, JCR Q1)

[6] 刘培，蒋群艳，杨嘉华，焦磊，冯展鹰，胡长明，刘庭煜*，倪中华，基于数字孪生的大型天线阵面装配位姿快速调控方法，机械工程学报，2024

[7] Tingyu Liu ,Yalong Cheng, and Zhonghua Ni*,Mining Event Logs to Support Workflow Resource Allocation, Knowledge-Based Systems,vol. 35, pp. 320-331, 2012. (SCI, IF=4.1,一区TOP)

[8] Tingyu Liu*, Huifen Wang, Yong He, Intelligent knowledge recommending approach for new product development based on workflow context matching, Concurrent Engineering, 2016. (SCI, IF=1.4)

[9] 刘庭煜*, 易红,倪中华, 面向快速工艺准备的闭环工作流系统的研究，计算机集成制造系统,vol. 15, pp. 495-501, 2009. (EI)

[10] 刘庭煜*，钟杰等，面向车间人员宏观行为数字孪生模型快速构建的小目标智能检测方法[J].计算机集成制造系统,2019.(EI)

[11] 刘庭煜*，陆增等，基于三维深度卷积神经网络的车间生产行为识别方法[J].计算机集成制造系统,2019.(EI)

[12] 刘庭煜*, 等.基于多维情境本体匹配的产品开发过程业务产物智能推荐技术[J].计算机集成制造系统,2016, (12): 2727-2750.(EI)

[13] Hong Q, Sun Y, Liu T* et al. TAD-Net: An approach forreal-time action detection based on temporal convolution network and graph convolution network in digital twin shop-floor. Digital Twin,2021, 1:10

[14] Yi, Y., Liu, T.,Yan, Y. et al. A novel assembly tolerance analysis method considering form errorsand partial parallel connections. Int J Adv Manuf Technol，2022（1）(SCI,IF=3.56)

[15] Yalong Cheng, Zhonghua Ni*, Tingyu Liu,Xiaojun Liu, An intelligent approach for dimensioning completeness inspection in3D based on transient geometric elements,Computer-Aided Design, 53(0), 14-27.2014 (SCI, IF=2.5)

[16] Fei TAO, Xuemin SUN, Jiangfeng CHENG, Yonghuai ZHU, Weiran LIU, Yong WANG, Hui XU, Tianliang HU, Xiaojun LIU, Tingyu LIU, Zheng SUN, Jun XU, Jinsong BAO, Feng XIANG, Xiaohui JIN, makeTwin: A reference architecture for digital twin software platform, Chinese Journal of Aeronautics, 2023,（SCI，IF=4.06）

[17] 陶飞，张贺，戚庆林，徐俊，孙铮，胡天亮，刘晓军，刘庭煜，关俊涛，陈畅宇等.数字孪生模型构建理论及应用[J].计算机集成制造系统,2021(EI)

[18] Jie Hu, Hanmin Peng, Tingyu Liu, et al. A flow sensing method of power spectrum based on piezoelectric effect andvortex-induced vibrations, Measurement, 2019, 131：473-481,（SCI，IF=5.13）

[19] Jie Hu, Hanmin Peng, Tingyu Liu, et al. An airflow sensor array based on polyvinylidene fluoride cantilevers forsynchronously measuring airflow direction and velocity, Flow Measurement and Instrumentation, 2019,（SCI, IF=2.42）

[20] Yi Y, Liu X, Liu T, Ni Z*. A generic integrated approach of assembly tolerance analysis based on skinmodel shapes. Journal of Engineering Manufacture. 2021(SCI,IF=2.76)

[21] 刘庭煜，翁陈熠，蒋群艳，焦磊，倪中华*，基于计算机视觉的车间生产行为智能管控及其应用，人工智能，2023（1）

[22] Liu T*, Xia M, Hong Q etal. Modeling of cross-scale human activity for digital twin workshop, Digital Twin, 2021, 1:11