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的个人主页 http://shi.buaa.edu.cn/wanghuisx/zh_CN/index.htm
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[1] .H Wu, X Sun, H Wang, B Liu, H Pang, Y Wu, H Gu, J Huang, Z Geng, Polarization smoothing of large-aperture laser beams based on edge pressure induced stress birefringence, Optics & Laser Technology 2026, 194, 114456
[2] .D Wu, H Li, H Wang, S To, Robotic abrasive cloth flap wheel polishing system and multivariate parameter decision-making method for blade leading and trailing edges, Robotics and Computer-Integrated Manufacturing 2026, 97, 103075
[3] .D Wu, R Wu, H Wang, Z Cheng, S To, Real-time detection of blade surface defects based on the improved RT-DETR, Journal of Intelligent Manufacturing 2026, 37 (1), 313-325
[4] .Z Wang, R Pan, J Wang, H Wang, D Wu, H Zhang, F Li, J Guo, Design-intention-driven manufacturing optimization of turbine blade for cooling performance enhancement, The International Journal of Advanced Manufacturing Technology, 2025, 1-20
[5] .D Wu, D Deng, H Li, H Wang, B Zhao, Fluorescent penetrant inspection system for minor defects in jet-engine blade surface, Journal of Intelligent Manufacturing,2025,1-17
[6] .J Liang, D Wu, H Wang, H Zhang, F Zhou, L Xu, Chatter suppression in thin-walled part machining via conformal flexible clamping, International Journal of Mechanical Sciences, 2025, 110747
[7] .Huilin Li, Dongbo Wu, Hui Wang, Parameters prediction for Low-Plasticity ultrasonic rolling strengthening process of blades based on Few-Shot Genetic Bayesian-Back Propagation intelligent learning, Measurement, 2025, 242 A
[8] .Ruipeng Pan, Zesheng Wang, Hui Wang, Dongbo Wu, Online positioning of thin-walled blade with small curvature for robotic flexible polishing based on optimal local feature matching, Robotics and Computer-Integrated Manufacturing, 2025,94, 102967,
[9] .Dongbo Wu, Renkang Wu, Hui Wang,et al. Real-time detection of blade surface defects based on the improved RT-DETR. Journal of Intelligent Manufacturing (2025).
[10] .Huilin Li , Dongbo Wu, Hui Wang，Parameters prediction for Low-Plasticity ultrasonic rolling strengthening process of blades based on Few-Shot Genetic Bayesian-Back Propagation intelligent learning，Measurement，2025

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