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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
[11]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).
[12]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).
[13]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).
[14]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).
[15]Z. Su, R. Yu, S. Zhou, B. Guo, and C. Li, “Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction”, International Journal of Interactive Multimedia and Artificial Intelligence,2023.(IF:3.6,SCI JCR Q2).
[16]B. Guo, Y. Wang, S. Zhen, R. Yu, and Z. Su, “SPEED: Semantic Prior and Extremely Efficient Dilated Convolution Network for Real-time Metal Surface Defects Detection,” IEEE Transactions on Industrial Informatics, 2023. (IF:11.648, 中科院1区).
[17]R. Yu, K Yang, Z Wang, S Zhen. Multimodal Interaction Aware Embedding for Location-Based Social Networks. AI Communications, 2023. (SCI JCR Q4).
[18]R Yu, B Guo, K Yang. Selective Prototype Network for Few-Shot Metal Surface Defect Segmentation. IEEE Transactions on Instrumentation and Measurement, 2022 (71), 1-10. (IF: 5.332, SCI JCR Q1).
[19]Ruiyun Yu, Ann Move Oguti, Dennis Reagan Ochora, Shuchen Li. Towards a privacy-preserving smart contract-based data aggregation and quality-driven incentive mechanism for mobile crowdsensing. Journal of Network and Computer Applications, 2022(207). (IF: 7.574, SCI JCR Q1).
[20]Pengfei Wang, Ruiyun Yu, Ningwei Gao, Chi Lin, and Yonghe Liu. Task-driven Data Offloading for Fog-enabled Urban IoT Services. IEEE Internet of Things Journal, 2021. (IF=9.936, 中科院1区).
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