Xiangyan Zhang | wafer defect detection | Best Researcher Award

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Dr. Xiangyan Zhang | wafer defect detection | Best Researcher Award

Dr. Beijing University of Posts and Telecommunications , China

Xiangyan Zhang, a Ph.D. student at the School of Intelligent Engineering and Automation, Beijing University of Posts and Telecommunications, has a robust academic background with a Master of Engineering degree from Beijing University of  Science and Technology (2023). His research focuses on wafer defect detection and machine vision, with significant contributions including DMWMNet, a dual-branch multi-level convolutional network achieving high performance in wafer map defect detection. Zhang has published 4 SCI papers, 2 EI conference papers, holds 2 invention patents, and 3 software copyrights. He collaborates with the China Academy of Engineering Physics

 

Professional Profiles:

Orcid

Academic and Professional Background 📚👩‍🎓

In June 2023, I was awarded a Master of Engineering degree from Beijing University of Science and Technology, and in September 2023, I commenced my Ph.D. studies at Beijing University of Posts and Telecommunications. To date, I have published 4 SCI papers, 2 EI conference papers, granted 2 invention patents, and obtained 3 software copyrights.

Research and Innovations 🔬💡

Completed/Ongoing Research Projects 🚀Vision-based robotic grasp detection projectWafer defect detection project

Citation Index 📑

Zhang, X., Jiang, Z., Yang, H., Mo, Y., Zhou, L., Zhang, Y., Li, J., Wei, S. (2024). DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136

✍️Publications Top Note :

Patent Authorization Number: ZL202210817429.4
A six-degree-of-freedom grasping detection algorithm based on semantic segmentation networks.

Patent Application Number: 202310654572.0
A grasping detection network based on RGBD images and semantic segmentation for residual fitting.

Zhang, Xiangyan, et al. (2024): DMWMNet: A novel dual-branch multi-level convolutional network for high-performance mixed-type wafer map defect detection in semiconductor manufacturing. Computers in Industry, 161, 104136.

Zhang Qinjian†, Zhang Xiangyan†, et al. (2022): TMSCNet: A three-stage multi-branch self-correcting trait estimation network for RGB and depth images of lettuce. Frontiers in Plant Science, 13.

Wu Yalin, Zhang Qinjian, Zhang Xiangyan, et al. (2022):* Novel binary logistic regression model based on feature transformation of XGBoost for type 2 Diabetes Mellitus prediction in healthcare systems. Future Generation Computer Systems-the International Journal of Escience, 129: 1-12.

Zhang Wu, Li Haiyuan, Zhang Xiangyan, et al. (2021):* Research progress and development trend of surgical robot and surgical instrument arm. International Journal of Medical Robotics and Computer Assisted Surgery, 17(5).

Zhang Xiangyan, Li Haiyuan, et al. (2021):* Kinematics Analysis and Grasping Simulation of a Humanoid Underactuated Dexterous Hand. 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO): 55-60.

Zhang Qinjian, Zhang Xiangyan, Li Haiyuan (2022):* A Grasp Pose Detection Network Based on the DeepLabv3+ Semantic Segmentation Model. International Conference on Intelligent Robotics and Applications (ICIRA): 747-758. (EI)