[12] Jie Wang, Zhifen Zhang, Shuai Zhang, Zijian Bai, Rui Qin, Jing Huang, Yu Su, Guangrui Wen, Xuefeng Chen, Hybrid transfer learning and GAN-driven approach for online detection of welding defects, Journal of Manufacturing Processes, 135 (2025) 82-99.

[11] Zhifen Zhang, Xianwen Xiang, Rui Qin, Zhengyao Du, Jing Huang, Xizhang Chen, Yu Su, Guangrui Wen, Weifeng He, Xuefeng Chen, Rebalancing Mel-frequency Cepstrum and parallel fusion model for surface hardness monitoring of laser shock peening using acoustic emission, Mechanical Systems and Signal Processing, 223 (2025) 111912.

[10] Shuai Zhang, Zhifen Zhang, Xizhang Chen, Rui Qin, Jie Wang, Zijian Bai, Zhiwen Li, Jing Huang, Yu Su, Guangrui Wen, Xuefeng Chen, Intra-layer and inter-layer monitoring of laser powder bed fusion defects based on airborne acoustic and gn-Res model: pore and deformation, Virtual and Physical Prototyping, 19 (2024) e2360699.

[9] Rui Qin, Zhifen Zhang, Jing Huang, Zhengyao Du, Xizhang Chen, Yu Su, Guangrui Wen, Weifeng He, Xuefeng Chen, Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening, Journal of Manufacturing Systems, 77 (2024) 301-319.

[8] Yanlong Yu, Zhifen Zhang, Jing Huang, Yongjie Li, Rui Qin, Guangrui Wen, Wei Cheng, Xuefeng Chen, Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network, NDT & E International, 148 (2024) 103232.

[7] Rui Qin, Zhifen Zhang, Jing Huang, Zhengyao Du, Yu Su, Guangrui Wen, Weifeng He, Xuefeng Chen, Deciphering laser shock peening quality monitoring: Wavelet-driven network with interpretability, Advanced Engineering Informatics, 62 (2024) 102917.

[6] Rui Qin, Jing Huang, Zhifen Zhang, Zhengyao Du, Xianwen Xiang, Yanlong Yu, Guangrui Wen, Weifeng He, Xuefeng Chen, An adaptive cepstrum feature representation method with variable frame length and variable filter banks for acoustic emission signals, Mechanical Systems and Signal Processing, 208 (2024) 111031.

[5] Rui Qin, Zhifen Zhang, Jing Huang, Zhengyao Du, Xianwen Xiang, Jie Wang, Guangrui Wen, Weifeng He, A novel physically interpretable end-to-end network for stress monitoring in laser shock peening, Computers in Industry, 155 (2024) 104060.

[4] Jie Wang, Zhifen Zhang, Zijian Bai, Shuai Zhang, Rui Qin, Jing Huang, Guangrui Wen, On-line defect recognition of MIG lap welding for stainless steel sheet based on weld image and CMT voltage: Feature fusion and attention weights visualization, Journal of Manufacturing Processes, 108 (2023) 430-444.

[3] Zhiwen Li, Zhifen Zhang, Shuai Zhang, Zijian Bai, Rui Qin, Jing Huang, Jie Wang, Ke Huang, Qi Zhang, Guangrui Wen, A novel approach of online monitoring for laser powder bed fusion defects: Air-borne Acoustic Emission and Deep Transfer Learning, Journal of Manufacturing Processes, 102 (2023) 579-592.

[2] Rui Qin, Zhifen Zhang, Jing Huang, Zhengyao Du, Xianwen Xiang, Guangrui Wen, Weifeng He, Acoustic emission for surface quality monitoring in laser shock peening via dual-feature fusion convolution neural network, Optics & Laser Technology, 164 (2023) 109505.

[1] Rui Qin, Zhifen Zhang, Jing Huang, Jie Wang, Zhengyao Du, Guangrui Wen, Weifeng He, Surface stress monitoring of laser shock peening using AE time-scale texture image and multi-scale blueprint separable convolutional networks with attention mechanism, Expert Systems with Applications, 224 (2023) 120018.

专利成果

著作成果

暂未填写

科研项目

暂未填写

国际会议

[7] Fuzhen Chen,Rui Qin, Jing Huang, Hwa Kian Chai,Optimised Acoustic Emission Tomography based on Anisotropic Velocity Modelling and Regularised Reconstruction, International Institute of Innovative Acoustic Emission (IIIAE 2025) & 27^th International Acoustic Emission Symposium (IAES-27), November, 2025, Nagoya, Japan. (IIAE Prominent Paper Award)

[6] Hwa Kian Chai, Jing Huang, Rui Qin, Quality and performance assurance of additively manufactured cementitious composites by advanced non-invasive techniques, The 2nd TC RILEM 3DCPconference, April, 2025, Vienna, Austria.

[5] Hwa Kian Chai, Jing Huang, Rui Qin, Quality and performance assurance of additively manufactured cementitious composites by advanced non-invasive techniques, The first RILEM 3DCP conference, December, 2024, Edinburgh, UK. (Observer)

[4] Jing Huang, Zhifen Zhang, Rui Qin, et al. Dual Channel Visible Graph Convolutional Neural Network for Microleakage Monitoring of Pipeline Weld Homalographic Cracks, 77th IIW Annual Assembly and International Conference on Welding and Joining International Institute of Welding, July, 2024, Rhodes, Greece. (Invited talk)

[3] Jing Huang, Zhifen Zhang, Rui Qin, et al.Pipeline Weld Crack Leakage Online Monitoring with Adaptive Threshold Optimization Incremental Learning Strategy, 76th IIW Annual Assembly and International Conference on Welding and Joining International Institute of Welding, July, 2023, Singapore. (Oral report)

[2] Jing Huang, Rongxi Wang, Jianmin Gao, et al. An Information Transmission Model for Offshore Wind Turbines Based on Multi-variable Coupling Relationship, the 2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing), 15-17 October, 2021.

[1] Juntai Xie, Jing Huang, Jianmin Gao, et al. Community Division of Multi-factor Coupled Complex Network Based on Graph Neural Network, the 2020 3rd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 4-6 December, 2020 [C].