Qingjiu Chen
ASML Holding
6 Papers
Qingjiu Chen is an academic researcher from ASML Holding. The author has contributed to research in topics: Ranging & Geology. The author has an hindex of 1, co-authored 1 publications.
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Papers
Deep learning-driven conversion of scanning superlens microscopy to high depth-of-field SEM-like imaging
Hui Sun,Hao Luo,Feifei Wang,Qingjiu Chen,Meng Chen,Xiaoduo Wang,Haibo Yu,Guanglie Zhang,Lianqing Liu,Jianping Wang,D. Wu,Wen Jung Li +11 more
TL;DR: Researchers developed a deep learning approach to transform optical super-resolution microscopy images into high-resolution SEM-like images, achieving nanoscale resolution without vacuum conditions or conductive coatings, and improving visibility of chip structures with enhanced depth-of-field.
A novel classification algorithm based on kernelized fuzzy rough sets
Linlin Chen,Qingjiu Chen +1 more
TL;DR: A novel model to solve the classification hyperplane from the geometric meaning of the positive region in kernelized fuzzy rough sets is constructed and this optimization problem that addresses this objective function is transformed to its dual problem.
Deep Learning Enables Large Depth-of-Field Images for Sub-Diffraction-Limit Scanning Superlens Microscopy
Hui Sun,Hao Luo,Feifei Wang,Qingjiu Chen,Meng Chen,Xiaoduo Wang,Haibo Yu,Guang Ying Zhang,Lianqing Liu,Jianping Wang,Dapeng Wu,Wen J. Li +11 more
TL;DR: Deep learning is used to obtain the mapping relationship between optical super-resolution images and SEM domain images, which enables the transformation of OSR images into SEM-like large depth-of-field images, indicating that it has broad applicability to chip-level defect detection, biological sample analysis, forensics, and various other fields.
Sphygmopalpation of Pulse Waves with Variable Applied Fingertip Pressure using a MEMS Flexible Tactile Sensor Array
Senlin Hou,Donghai Yang,Xiaotong Chen,Qingjiu Chen,Jiangang Shen,Wen Jung Li +5 more
- 14 May 2023
TL;DR: This work believes its work will significantly advance TCM by providing a repeatable and stable pulse wave collection methodology incorporating the vital concept of sphygmopalpation with variable applied fingertip pressures.
Development of the high angular resolution 360° LiDAR based on scanning MEMS mirror
Donghai Yang,Yifan Liu,Qingjiu Chen,Meng Chen,Shaodong Zhan,Nim-kwan Cheung,Ho-Yin Chan,Zhidong Wang,Wen J. Li +8 more
TL;DR: In this paper , a microelectromechanical system (MEMS) mirror-based 360° LiDAR system with high angular resolution was demonstrated and the experimental results verified an excellent performance of 0.07° × 0.027° angular resolution.