Junying Chen

Dr. Junying Chen is an Associate Professor at the School of Software Engineering, South China University of Technology (SCUT), Guangzhou, China. She leads the Intelligent Medical Image Processing Laboratory under the Ministry of Education's Key Laboratory of Big Data and Intelligent Robot, serves as a Core Member of SCUT's intelligent software and robots research team, and holds leadership roles in the Faculty Congress of SCUT's School of Software Engineering.

• Educations: B.E. in Electronic and Information Engineering from Zhejiang University (2007), Ph.D. in Electrical and Electronic Engineering from the University of Hong Kong (2013).

Research Interests:
Dr. Chen specializes in pattern recognition, deep learning, and medical ultrasound imaging, with a focus on multi-source feature fusion, intelligent image processing, and high-performance computing. Her work bridges theoretical advancements in lightweight neural networks and vision transformers with practical applications in healthcare.

Scientific Awards & Memberships:
She has received accolades including the China Computer Federation's Technological Invention Second Prize and Guangdong Computer Academy's Excellent Papers Second Prize. She is a Distinguished Member of China Computer Federation, Senior Member of IEEE and multiple Chinese academic societies, and holds affiliations with ACM, AAAI, MICCAI, and ACL.

Grants & Leadership:
As Principal Investigator (PI), she has secured funding from the National Natural Science Foundation of China, Guangdong Natural Science Foundation, and other institutions. She also serves as Science and Technology Consulting Expert for Guangdong Province and contributes to national key research projects.

Applications & Impact:
Her research has been deployed via WeChat applets for over two years and adopted in hospitals across Guangdong and Jiangxi provinces. Her CVPR 2021 paper, cited 270 times, was featured in the Chinese Society of Image and Graphics' 'Quick Review' column.