第一作者/通讯作者论文

[21] 董业旻,苗壮,黄婧*,张志芬.图像编码和深度学习算法在压力管道焊缝裂纹泄漏监测中的应用 , 焊接学报 , 2026

[20] Rui Qin, Jing Huang*, Zhifen Zhang, Guangrui Wen.Multilayer structured wavelet kernel network enabling interpretable feature extraction for industrial intelligent monitoring , Journal of Manufacturing Processes , 2026

[19]  Jing Huang, Rui Qin.Network integrating multiscale analysis and nonlinear representation for short-term wind power forecasting , Renewable Energy , 2026

[18] Jing Huang*, Zhifen Zhang, Rui Qin, Kai Liu, Guangrui Wen, Hwa Kian Chai.Systematic review for fluid pipeline leakage monitoring: present status and challenges of acoustic emission technique , Measurement , 2026

[17] Rui Qin, Zhifen Zhang, Hwa Kian Chai, James Marcus Griffin, Fuzhen Chen, Guangrui Wen, Weifeng He, Xuefeng Chen, Jing Huang*.Frequency band recalibration spectrogram , Mechanical Systems and Signal Processing , 2026

[16] Rui Qin, Jing Huang*.Enhancing complex signal analysis via spectrally-driven nonlinear filtered cepstrum , Journal of Sound and Vibration , 2025

[15] Rui Qin, Jing Huang*.Towards accurate bird sound recognition through multi-scale texture-aware modeling , npj Acoustics , 2025

[14] Rui Qin, Zhifen Zhang, James Marcus Griffin, Jie Wang, Guangrui Wen, Weifeng He, Xuefeng Chen, Jing Huang*.Explainable deep learning framework for residual stress monitoring in laser shock peening via acoustic emission , Journal of Industrial Information Integration , 2025

[13] Jing Huang, Rui Qin.A novel deep graph learning-based multivariate clustering method for time series forecasting of complex chemical systems , Computers & Chemical Engineering , 2025

[12] Rui Qin, Hwa Kian Chai, Kai Liu, Hang Yu, Jing Huang*.A hierarchical multi-stage fusion deep learning framework for short-term wind power prediction , Renewable Energy , 2025

[11] Jing Huang, Rui Qin, Zhifen Zhang, Zhengyao Du, Shuai Zhang, Yu Su, Guangrui Wen, Wei Cheng, Xuefeng Chen.MelNet: an end-to-end adaptive network with adjustable frequency for preprocessing-free broadband acoustic emission signals , Information Fusion , 2025

[10] Zhifen Zhang, Yongjie Li, Jing Huang*, Yanlong Yu, Rui Qin, Guangrui Wen, Wei Cheng, Xuefeng Chen.Class-imbalanced pattern recognition in pipeline weld cracks damage via feature characterization and sample enhancement , Measurement , 2025

[9] Zhifen Zhang, Jing Huang*, Yanlong Yu, Rui Qin, Jie Wang, Shuai Zhang, Yu Su, Guangrui Wen, Wei Cheng, Xuefeng Chen.Microleakage acoustic emission monitoring of pipeline weld cracks under complex noise interference: A feasible framework , Journal of Sound and Vibration , 2025

[8] Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Yongjie Li, Quanning Xu, Ji Xing, Guangrui Wen, Wei Cheng, Xuefeng Chen.Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks , Computers in Industry , 2024

[7] Jing Huang, Zhifen Zhang, Yanlong Yu, Yongjie LI, Shuai Zhang, Rui Qin, Ji Xing, Wei Cheng, Guangrui Wen, Xuefeng Chen.An incremental learning framework for pipeline weld crack damage identification and leakage rate prediction , Engineering Applications of Computational Fluid Mechanics , 2024

[6] Jing Huang, Rui Qin.Elman neural network considering dynamic time delay estimation for short-term forecasting of offshore wind power , Applied Energy , 2024

[5] Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen.Interpretable real-time monitoring of pipeline weld crack leakage based on wavelet multi-kernel network , Journal of Manufacturing Systems , 2023

[4] Jing Huang, Rui Qin, 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 , 2023

[3] Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Yongjie Li, Guangrui Wen, Wei Cheng, Xuefeng Chen.Residual Swin transformer-based weld crack leakage monitoring of pressure pipeline , Welding in the World , 2023

[2] Jing Huang, Zhifen Zhang, Rui Qin, Yanlong Yu, Guangrui Wen, Wei Cheng, Xuefeng Chen.Lightweight Neural Network Architecture for Pipeline Weld Crack Leakage Monitoring Using Acoustic Emission , IEEE Transactions on Instrumentation and Measurement , 2023

[1] Jing Huang, Zhifen Zhang, Bofang Zheng, Rui Qin, Guangrui Wen, Wei Cheng, Xuefeng Chen.Acoustic emission technology-based multifractal and unsupervised clustering on crack damage monitoring for low-carbon steel , Measurement , 2023

其他作者论文

[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.