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Ruiyun Yu
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Name (English):Ruiyun Yu
Name (Pinyin):Yu Ruiyun
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Paper Publications
[1]R. Yu, B. Guo, and H. Li. "Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application," in IEEE/CVF International Conference on Computer Vision, 2025. (CCF A).
[2]S. Zhen, R. Yu and H. Li, "MEDNet: Memory-Enhanced Discriminative Feature Learning for Few-Shot Metal Defect Classification", in The 51th Annual Conference of the IEEE Industrial Electrics Society..
[3]A. Ibrahim, Q. Zhao, H. Li, and R. Yu, "Feature Adaptive Selection and Fusion Network for Small Object Detection in Traffic Perception", in The 51th Annual Conference of the IEEE Industrial Electrics Society..
[4]H. Li, R. Yu and B. Guo, "Fine-Grained Region Perception Network for Few-Shot Defect Classification of IC Package Substrates: Benchmark Methodology and Dataset", in The 51th Annual Conference of the IEEE Industrial Electrics Society..
[5]R. Yu, H. Li, B. Guo and Z. Zhao, "Background-Weaken Generalization Network for Few-Shot Industrial Metal Defect Segmentation," in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-11, 2025. (IF:5.9, SCI JCR Q1).
[6]M. Chen, R. Yu, Z. Liang, K. Li, H. Qi, "A Multiscale Process-aware Retention Network for Fault Prediction in Mixed-model Production," Computers in Industry, vol. 170, 104313, 2025. (IF:9.1, 中科院1区).
[7]R. Yu, M. Chen, and B. Liu, “A triple-phase boost transformer for industrial equipment fault prediction,” Neurocomputing, vol. 619, pp. 129137, 2025. (IF:6.5, SCI JCR Q1).
[8]K. Yang, R. Yu, B. Guo and J. Li, "Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation," in IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 10, pp. 5221-5233, 2024. (IF 8.9, CCF A).
[9]R. Yu and B. Guo, "Dynamic Reasoning Network for Image-Level Supervised Segmentation on Metal Surface Defect," in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-10, 2024. (IF:5.6, SCI JCR Q1).
[10]Ruiyun Yu, Ann Move Oguti, Mohammad S. Obaidat, Shuchen Li, Pengfei Wang, Kuei-Fang Hsiao, “Blockchain-based solutions for mobile crowdsensing: A comprehensive survey”, Compute Science Review, 2023. (IF:7.8,SCI JCR Q1).
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