Hello, everyone! Here is Bingyang Guo (Aries, 郭冰洋)’s academic page. Thanks for the template provided by AcadHomepage!

🧍‍♂️ Biography

I am pursuing my PhD degree in the Software College at the Northeastern University (Shenyang, China), advised by Prof. Ruiyun Yu. I received the bachelor’s degree in the School of Mechanical Engineering at the Shenyang Ligong University, and the master’s degree in the School of Mechanical Engineering and Automation at the Northeastern University, advised by Prof. Yunhui Yan and Prof. Kechen Song, within Machine Vision & Robotics Lab.

My academic interests revolve around AI4Industry, especially focus on Industrial Surface Defect Segmentation under Data-scarcity Scenarios, including Zero/Few-shot segmentation, Wealy-supervised segmentation, 2D-3D visual fusion, and Large Vision Model. If you are interested in any aspect of me, I am always open to discussions and collaborations. Feel free to reach out to me at - wxqmdr@gmail.com

🔥 News

2025.03: 🎉🎉 Our paper addressed Few-shot metal surface segmenation is accepted by IEEE TIM!
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

2021.09 - now, Northeastern University, Software College, Ph.D Candidate in Software Engineering
2018.09 - 2021.07, Northeastern University, School of Mechanical Engineering & Automation, M.S. in Mechanical Design & Theory
2014.09 - 2018.07, Shenyang Ligong University, School of Mechanical Engineering, B.S. in Mechanical Design, Manufacture & Automation

📝 Publications

# co-first author

* corresponding author

Journal Publications

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). (Major Revision)
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.
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.
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.
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.
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.
NERNet: Noise estimation and removal network for image denoising [Paper]
Bingyang Guo, Kechen Song*, Hongwen Dong, Yunhui Yan*, Zhibiao Tu, Liu Zhu
Journal of Visual Communication and Image Representation (JVCIR). 2020.

Conference Publications

The interaction graph auto-encoder network based on topology-aware for transferable recommendation [Paper]
Ruiyun Yu, Kang Yang*, Bingyang Guo
Proceedings of the 31st ACM International Conference on Information & Knowledge Management(CIKM 2022). 2022.

Manuscripts under Review

EDNet: Zero-shot Classification for Ceramic Package Substrates Surface Defect with Embedding Diffusion Network
Bingyang Guo, Ruiyun Yu*, Haoyuan Li, Bang An
IEEE Transactions on Industrial Informatics(TII). (Under Review)
When Large Models Meet Industry: A Unified Multimodal Framework Towards Semantic and Spatial Understanding on Metal Surface Defects
Bingyang Guo, Ruiyun Yu*, Haoyuan Li, Bang An
IEEE Transactions on Circuits and Systems for Video Technology(TCSVT). (Under Review)
Hybrid-space Interaction Network for Effective Single-Image Super-Resolution in Defect Detection
Haoyuan Li, Ruiyun Yu*, Bingyang Guo, Bang An, Shi Zhen
lEEE Transactions on Neural Networks and Learning Systems(TNNLS). (Under Review)
Dynamic Cross Characterization Network for Few-Shot IC Package Substrates Surface Defect Segmentation
Ruiyun Yu, Haoyuan Li*, Bingyang Guo
IEEE Transactions on Industrial Informatics(TII). (Under Review)

💻 Projects

Ceramic Package Substrate Surface Defect Auto Optical Inspection (AOI) Equipment (2024.07 - Now)
1. constructed a AOI equipment for ceramic package substrate surface.
2. collected a comprehensive dataset of high-resolution images for ceramic package substrate surface inspection.
Double CCD Structured Light Measurement System (2024.02 - 2024.07)
1. constructed a double CCD structured light Measurement system for mechanical basic components.
2. collected a comprehensive dataset of high-resolution point clouds for mechanical basic components 3D anomaly detection.
Multiple Line Laser Scanning Equipment (2023.11 - 2024.06)
1. constructed a multiple line laser scanning equipment for ceramic package substrate surface.
2. collected a comprehensive dataset of high-resolution point clouds for ceramic package substrate 3D inspection.
Engine Automatic Assembly System (2021.12 - 2023.09)
1. constructed a multi-axis linkage digital installation rack vehicle.
2. constructed an automatic installation digital twin system for aircraft engines.