Ruiyun Yu (于瑞云)’s academic page. Thanks for the template provided by AcadHomepage!

🧍‍♂️ Biography

I am a professor at the the Software College, Northeastern University (Shenyang, China), and the director of the Office of Information Construction and Network Security.

My main research directions are Industrial Vision, Temporal Perception Data Analysis, and 3D Spatial Intelligence. I actively promote technological innovation in the fields of Industrial Internet and Artificial Intelligence in scientific research, and carry out research on intelligent software, algorithms and application systems in the fields of integrated circuits, precision manufacturing and other choke fields.

If you have any questions or wish to cooperate with us, please feel free to contact me. Email: yury@mail.neu.edu.cn

🔥 News

• 2025.07:  🎉🎉 Our paper addressed 3D scene reconstruction is accepted by Digital Communications and Networks!
• 2025.06:  🎉🎉 Our paper addressed Integrated circuits package substrate anomaly detection is accepted by ICCV 2025! The new dataset CPS2D-AD proposed in the paper is currently the largest integrated circuit defect detection dataset in the world!
• 2025.05:  🎉🎉 Our paper addressed Temporal Perception Data Analysis is accepted by Computer in Industry!
• 2025.03:  🎉🎉 Our paper addressed Few-shot metal surface segmenation is accepted by IEEE TIM!
• 2025.02:  🎉🎉 Our paper addressed Temporal Perception Data Analysis is accepted by Neurocomputing!
• 2024.10:  🎉🎉 Our paper addressed Recommendation System is accepted by KBS!
• 2024.09:  🎉🎉 We acquire the funding from the key research and development projects of Liaoning Province (Research and Application of Key Technologies for Multi-modal Industrial Product Surface Defect Detection Large Model)!
• 2024.04:  🎉🎉 Our paper addressed Transferable recommendation is accepted by IEEE TKDE (CCF A)!
• 2024.03:  🎉🎉 Our paper addressed Weakly-supervised metal surface segmenation is accepted by IEEE TIM!
• 2023.12:  🎉🎉 Our large vision model for industrial surface defect detection Qing Que obtained Huawei Ascend Technology Certification!
• 2023.05:  🎉🎉 We acquire the funding from the Fundamental Research Funds for the Central Universities.
• 2023.01:  🎉🎉 Our paper addressed Real-time metal surface segmenation is accepted by IEEE TII!
• 2022.08:  🎉🎉 Our paper addressed Few-shot metal surface segmenation is accepted by IEEE TIM!

📖 Educations

• 2005.03 - 2009.01, Northeastern University, College of Information Science & Engineering, Ph.D. in Computer Application Technology
• 2001.09 - 2004.03, Northeastern University, College of Information Science & Engineering, M.S. in Computer Application Technology
• 1993.08 - 1997.07, Northeastern University, School of Mechanical Engineering & Automation, B.S. in Fluid Power Transmission & Control

📝 Publications

# co-first author

* corresponding author

Industrial Vision

1. Anomaly Detection of Integrated Circuits Package Substrates Using the Large Vision Model SAIC: Dataset Construction, Methodology, and Application [Paper]
   Ruiyun Yu, Bingyang Guo*，Haoyuan Li
   IEEE Transactions on Instrumentation and Measurement(TIM).
2. Background-weaken Generalization Network for Few-Shot Industrial Metal Defect Segmentation [Paper]
   Ruiyun Yu, Haoyuan Li*, Bingyang Guo, Ziming Zhao
   IEEE Transactions on Instrumentation and Measurement(TIM).
3. Dynamic Reasoning Network for Image-level Supervised Segmentation on Metal Surface Defect [Paper]
   Ruiyun Yu, Bingyang Guo*, Kang Yang
   IEEE Transactions on Instrumentation and Measurement (TIM). 2024.
4. SPEED: Semantic prior and extremely efficient dilated convolution network for real-time metal surface defects detection [Paper]
   Bingyang Guo, Ruiyun Yu*, Kang Yang
   IEEE Transactions on Industrial Informatics(TII). 2023.
5. Selective prototype network for few-shot metal surface defect segmentation [Paper]
   Ruiyun Yu, Bingyang Guo*, Kang Yang
   IEEE Transactions on Instrumentation and Measurement (TIM). 2022.

Temporal Perception Data Analysis

1. A multiscale process-aware retention network for fault prediction in mixed-model production [Paper]
   Mingda Chen, Ruiyun Yu*, Zhiyuan Liang, Kun Li, Haifei Qi
   Computer in Industry(CI). 2025.
2. A triple-phase boost transformer for industrial equipment fault prediction [Paper]
   Ruiyun Yu*, Mingda Chen, Bing Liu
   Neurocomputing(NEUROCOMPUTING). 2024.
3. Is multi-level data enhancement helpful for knowledge graph? A new perspective on multimodal fusion [Paper]
   Kang Yang, Ruiyun Yu*, Bingyang Guo
   Knowledge-Based Systems(KBS). 2024.
4. Interaction Subgraph Sequential Topology-Aware Network for Transferable Recommendation [Paper]
   Kang Yang, Ruiyun Yu*, Bingyang Guo, Jie Li
   IEEE Transactions on Knowledge and Data Engineering(TKDE). 2024.

3D Spatial Intelligence

1. DWT-3DRec: DeepJSCC-based wireless transmission for efficient 3D scene reconstruction using CityNeRF [Paper]
   Shaung Cao, Jie Li, Ruiyun Yu*, Xingwei Wang, Jianing Duan
   Digital Communications and Networks (DCN). 2025.

🎓 Academic Service

• Journal Reviewer, IEEE TIP, IEEE TNNLS, IEEE TII, IEEE TIM, etc.
• Conference Reviewer, CVPR, ACM MM, NeurIPS, etc.