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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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[11]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).
[12]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).
[13]R. Yu, K Yang, Z Wang, S Zhen. Multimodal Interaction Aware Embedding for Location-Based Social Networks. AI Communications, 2023. (SCI JCR Q4).
[14]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).
[15]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).
[16]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).
[17]R Yu, K Yang, B Guo. The Interaction Graph Auto-encoder Network Based on Topology-aware for Transferable Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022, 2403-2412. (CCF B).
[18]Ann Move Oguti; Ruiyun Yu; Dennis Reagan Ochora; Shuchen Li; Pengfei Wang. MARACrowd: A Multi-Attribute Reverse Auction for Task Allocation in Blockchain-Based Mobile Crowdsensing. In Proc. of the 19th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2022), 2022. (CCF C).
[19]Z Su, Y Wang, Q Xie, R Yu. Pose graph parsing network for human-object interaction detection. Neurocomputing, 2022(476), 53-62. (IF: 5.779, SCI JCR Q1).
[20]Ruiyun Yu, Dezhi Ye, Zhihong Wang, Biyun Zhang, Ann Move Oguti, Jie Li, Bo Jin, and Fadi Kurdahi. CFFNN: Cross Feature Fusion Neural Network for Collaborative Filtering. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2020.3048788, 2022. (CCF A).
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