广东工业大学教师主页平台管理系统 dengjiehang--Home--Paper Publications

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[1][1] Deng Jiehang, Yang Jianfa, Gu Guosheng, et al. DiaDet-R: A lightweight and accurate rotated detector for diatom detection in drowning diagnostics[J]. Expert Systems with Applications, 2025: 125958. (中科院1区, Impact Factor 7.5).
[2][2] He Jinwen, Deng Jiehang*, Gu Guosheng, et al. Structural Semantic Enhancement Network for Low-dose CT Denoising. Biomedical Signal Processing and Control[J], 2025(中科院二区).[J].Biomedical Signal Processing and Control,2025,
[3][3] Deng Jiehang, Yang Jianfa, Wei Haomin, et al. A high-efficiency local and global detector for diatom-based drowning diagnosis[J]. Engineering Applications of Artificial Intelligence, 2024, 138: 109296. (中科院2区, Impact Factor 7.5).
[4][7] Gu G, Gan S, Deng J.*, et al. Automated diatom detection in forensic drowning diagnosis using a single shot multibox detector with plump receptive field[J]. Applied Soft Computing, 2022: 108885.(中科院SCI一区).
[5][4] Deng Jiehang, Hu Zihang, He Jinwen, Liu, Jiaxin, Qiao Guoqing, Gu Guosheng, Weng Shaowei. Irregular feature enhancer for low-dose CT denoising[J]. MULTIMEDIA SYSTEMS, 2024, 30(6)..
[6][5] Deng J, Wei H, Lai Z, et al. Spatial transform depthwise over-parameterized convolution recurrent neural network for license plate recognition in complex environment[J]. Journal of Computing and Information Science in Engineering, 2023, 23(1): 011010. .
[7][4] Deng, J., Wang, W., Gu, G. et al. Wildfire susceptibility prediction using a multisource and spatiotemporal cooperative approach. Earth Science Informatics 16(4), 3511–3529 (2023)..
[8][6] Gu, G., Lu, H., Deng, J.*, Wang, H., Wei, H., & Ling, J. (2022). A synergetic image encryption method based on discrete fractional random transform and chaotic maps. Multimedia Tools and Applications, 1-25..
[9][2] Deng, J., Wei, H., He, D., Gu, G., Kang, X., Liang, H., ... & Zhao, J. (2022). A coarse to fine framework for recognizing and locating multiple diatoms with highly complex backgrounds in forensic investigation. Multimedia Tools and Applications, 81(4), 4839-4857..
[10][5] Chen, Z., Deng, J., Zhu, Q., Wang, H., & Chen, Y. (2022). A Systematic Review of Machine-Vision-Based Leather Surface Defect Inspection. Electronics, 11(15), 2383..

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