姓名🚴：劉天元
個人簡介：2021年6月畢業於沐鸣2注册，獲工學博士學位🎛；2021年12月至2023年12月於香港理工大學從事博士後研究工作；2024年1月加入沐鸣2注册。
研究興趣👩🏽⚖️：工業人工智能↘️、計算視覺👩🏿🏭、焊接自動化、無損檢測🤛🏽、數字孿生、知識圖譜等😬🪇。
Email: tianyuan.liu@dhu.edu.cn
主講課程🔪：
[1] 畫法幾何及工程製圖I，機械工程專業，大一上學期，專業基礎課，48學時
[2] 工業大數據技術/課程設計❔，智能製造工程專業，大三下學期👃🏻，專業基礎課♤，32學時
學術服務🛻：
智能製造/模式識別領域❇️：
[1] 中國機械工程學會工業大數據與智能系統分會👐🏽，委員
[2] 數字孿生青年學者委員會, 委員
[3] 長三角鋼鐵產業發展協會智能焊接自動化產線建設技術委員會，委員
[4] Journal of Intelligent Manufacturing (中科院二區, JCR Q1, IF 5.9) , Associate Editor
[5] Big Data Mining and Analytics (中科院一區, JCR Q1, IF 7.7), Young Associate Editor
[6] eScience (JCR Q1, IF 42.9), Young Editorial Board Member
[7] Pattern Recognition Letters (中科院三區, JCR Q2, IF 3.9), Guest Editor
[8] Digital Engineering (國際期刊), Guest Editor
[9] Cybernetics & Systems (中科院四區, JCR Q3, IF 1.1), Associate Editor
[10] IET Signal Processing (中科院四區, JCR Q4, IF 1.1, CCF-C), Academic Editor
[11] NSFC-RGC Conference on Frontiers of Industrial Big Data and Intelligent Systems, Session Chair, 2023.
[12] International Conference on Control Engineering and Artificial Intelligence, Session Chair, 2024.
[13] The International Artificial Intelligence Conference, Committee Members, 2024.
[14] Asia-Pacific Conference on Intelligent Robot Systems, Organizing Co-Chairs, 2025.
[15] IEEE TII, IEEE TASE, IEEE TNNLS, JIM, JMS, JMP, RCIM, ESWA, AEI, CII, CAIE, JED, IJCIM, NDTE, BDMA等30余本國際期刊審稿人🔲。
焊接/金屬熱加工領域:
[16] Nondestructive Testing and Evaluation (中科院三區, JCR Q2, IF 3), Early Career Editorial Board Member
[17] Metals (中科院三區, JCR Q2, IF 2.6), Topical Advisory Panel Member
[18] 焊接雜誌社(China Welding (機械工程領域T3級), 焊接學報(EI源刊🚜，機械工程領域T1級),焊接(中文核心,機械工程領域T3級), 機械製造文摘-焊接分冊)🪯，青年編委
[19] 電焊機(中國科技核心, 機械工程領域T3級), 編委
[20] 金屬加工-熱加工(中國科技核心, 機械工程領域T3級), 青年編委
[21] 焊管(中文核心遴選), 青年編委
科研項目❔：
[1] 國家自然科學基金青年項目，面向激光焊接質量多步預測的鑒別性視覺特征演化機理研究🙅🏽♂️，主持。
[2] 中央高校自由探索項目☔️，航天結構件激光焊接缺陷可信識別方法研究👨🏽🦳，主持🩴。
[3] 國家自然科學基金面上項目，元數字孿生，參與👏。
[4] The Hong Kong Polytechnic University Centrally Funded Postdoctoral Fellowship Scheme, Knowledge and data hybrid-driven explainable laser welding defect recognition, 主持🤽♀️。
[5] 科技部重點研發計劃港澳臺科技創新合作重點專項👾，Industrial big data-enabled smart maintenance technology for complex equipment, 參與。
[6] 工信部工業互聯網創新發展工程，基於邊緣計算的固體火箭發動機異地協同製造工廠內集成應用新模式，參與🎛。
[7] 上海市科委科技創新行動計劃，消化道黏膜下腫瘤影像人工智能標準化檢測體系，參與。
學術論文：
[1] Tianyuan Liu, Jinsong Bao. A novel period-sensitive LSTM for laser welding quality prediction, IEEE Transactions on Industrial Informatics, Oct., 2024: 1-9. doi: https://doi.org/10.1109/TII.2024.3463706. (JCR Q1, IF 11.7)
[2] Tianyuan Liu, Pai Zheng, Jinsong Bao. Deep learning-based welding image recognition: a comprehensive review. Journal of Manufacturing Systems, 2023, 68: 601-625. (JCR Q1, IF 12.2)
[3] Tianyuan Liu, Jiacheng Wang, Xiaodi Huang, et al. 3DSMDA-Net: an improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition. Journal of Manufacturing Systems, 2022, 62: 811-822. (JCR Q1, IF 12.2)
[4] Tianyuan Liu, Hangbin Zheng, Pai Zheng, et al. An expert knowledge-empowered CNN approach for welding radiographic image recognition. Advanced Engineering Informatics, 2023, 56: 101963. (JCR Q1, IF 8)
[5] Tianyuan Liu, Pai Zheng, Huabin Chen, et al. An attention-based bilinear feature extraction mechanism for fine-grained laser welding molten pool/keyhole defect recognition. Journal of Manufacturing Processes, 2023, 87: 150-159. (JCR Q1, IF 6.1)
[6] Tianyuan Liu, Wenhua Jiao, Jinsong Bao. A novel multi-loss dynamic fusion-enhanced image segmentation model for welding spatter measurement. Journal of Manufacturing Processes, 2024, 128: 125-132. (JCR Q1, IF 6.1)
[7] Tianyuan Liu, Hangbin Zheng, Jinsong Bao, et al. An explainable laser welding defect recognition method based on multi-scale class activation mapping. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-12. (JCR Q1, IF 5.6)
[8] Tianyuan Liu, Pai Zheng, Jinsong Bao, et al. A state-of-the-art survey of welding radiographic image analysis: challenges, technologies and applications. Measurement, 2023, 214: 112821. (JCR Q1, IF 5.2)
[9] Tianyuan Liu, Pai Zheng, Xiaojia Liu. A multiple scale spaces empowered approach for welding radiographic image defect segmentation. NDT and E International, 2023, 139: 102934. (JCR Q1, IF 4.1)
[10] Tianyuan Liu, Jinsong Bao, Hangbin Zheng, et al. Learning semantic-specific visual representation for laser welding penetration status recognition. Science China-Technological Sciences, 2022, 65(2): 347-360. (JCR Q1, IF 4.4)
[11] Tianyuan Liu, Jinsong Bao, Junliang Wang, et al. A hybrid CNN–LSTM algorithm for online defect recognition of CO2 welding. Sensors, 2018, 18(12): 4369. (JCR Q2, IF 3.9)
[12] Tianyuan Liu, Jinsong Bao, Junliang Wang, et al. Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue. International Journal of Computer Integrated Manufacturing, 2022, 35(10-11): 1077-1106. (JCR Q2, IF 4.1)
[13] Tianyuan Liu, Jinsong Bao, Junliang Wang, et al. A coarse-grained regularization method of convolutional kernel for molten pool defect identification. ASME Journal of Computing and Information Science in Engineering, 2020, 20(2): 021005. (JCR Q3, IF 3.1)
[14] Tianyuan Liu, Yanan Jiang, Pai Zheng, et al. A framework of cognitive intelligence-enabled welding cyber physical system. 19th IEEE International Conference on Automation Science and Engineering, 2023. (EI)
[15] 劉天元, 鮑勁松, 汪俊亮, 等. 融合時序信息的激光焊接熔透狀態識別方法. 中國激光, 2021, 48(06): 228-238. EI, 卓越計劃-中文領軍期刊。
[16] 劉天元, 鄭杭彬, 楊長祺, 等. 面向激光焊接缺陷識別的可解釋性深度學習方法. 航空學報, 2022, 43(04): 451-460. EI, 卓越計劃-中文領軍期刊🧛🏼♀️。
[17] 劉天元, 鮑勁松, 汪俊亮, 等. 受限解空間下粗粒度正則化的熔池邊緣自適應檢測方法. 焊接學報, 2020, 41(12): 49-54. EI, 卓越計劃-中文梯隊期刊。
[18] Hangbin Zheng, Tianyuan Liu, Jiayu Liu, et al. Visual analytics for digital twin: a conceptual framework and case study. Journal of Intelligent Manufacturing, 2024, 35(4): 1671-1686. (JCR Q1, IF 8.3)
[19] Tianbiao Liang, Tianyuan Liu, Junliang Wang, et al. Causal deep learning for explainable vision-based quality inspection under visual interference. Journal of Intelligent Manufacturing, 2024, https://doi.org/10.1007/s10845-023-02297-9. (JCR Q1, IF 8.3)
[20] 梁天飈, 劉天元, 汪俊亮, 等. 因果推理引導的復雜花紋織物缺陷視覺檢測深度學習方法. 中國科學-技術科學🤷🏻，2023, 53(07): 1138-1149. EI.
知識產權：
[1] 專著. 鮑勁松🙉，劉天元🚵♂️，鄭宇。工業智能-方法與應用, 電子工業出版社, 2022.
[2] 發明專利. 一種基於知識圖譜驅動的設備資源配置優化方法. 授權號CN310117, 2020.
[3] 發明專利. 圖像生成方法、裝置🧑🏼🚀、計算設備及存儲介質. 公開號CN116664972A, 2023.
[4] 發明專利. 一種基於EUS的粘膜下腫瘤細粒度分類方法. 公開號CN114067159A, 2022.
[5] 軟件著作權. 焊接圖像故障識別系統. 證書號11824429, 2023.
[6] 軟件著作權. 東華智能製造研究所DR射線檢測系統. 證書號5061870, 2020.
榮譽獎勵：
[1] 沐鸣2娱乐優秀畢業生, 2022.
[2] 沐鸣2娱乐優秀博士論文, 2022.
[3] 沐鸣2娱乐晉江市政府獎學金一等, 2020.
[4] The International Artificial Intelligence Conference, Best Reviewer Award, 2023.
[5] Intelligent Automation & Soft Computing, Outstanding Reviewer Award, 2023.
[6] 優秀青年編委👯♂️，金屬加工-熱加工，2024.
學術交流🏌️📜：
[1] 特邀報告（優秀報告）. 基於深度學習的焊接圖像分析綜述🌱，中國機械工程學會焊接分會青年工作者第六屆學術研討會會議🎑，2024.
[2] 特邀主旨報告. 焊接射線圖像分析綜述🧑🏼🚒：挑戰🦶🏻、技術和應用，射線無損檢測技術交流大會，2023.
[3] 特邀主旨報告. 面向激光焊接熔透狀態識別具有特定語義的視覺表示學習, 智能焊接與增材製造技術國際論壇, 2022.
[4] 青年報告. Towards cognitive intelligence-enabled digital twin system for welding quality control, The 2nd Digital Twin International Conference, 2022.
[5] 特邀報告. 3DSMDA-Net: an improved 3DCNN with separable structure and multi-dimensional attention for welding status recognition, The 2021 International Workshop on Intelligentized Welding Manufacturing, 2021.
[6] 特邀報告. 深度學習在工業圖像分析中的關鍵問題研究, 能源清潔高效與安全利用學術論壇, 2020.
歡迎機械工程☝🏿、計算機科學、焊接自動化等相關專業同學聯系報考！