Summary
Yingxue Zhang is a Senior Staff Researcher at Huawei Technologies Canada with nine years of experience focused on graph deep learning, machine learning, and recommendation systems. She has led graph representation learning teams at Huawei’s Montreal research center and driven the deployment of scalable GNN solutions into production/internal applications. Her background blends strong academic performance (M.Eng. from McGill, exchange research at PRISME and NTU) with hands-on engineering experience in signal processing and on-device classification from earlier industry internships. Known for turning high-impact research into operational systems, she bridges theoretical graph learning advances with real-world, production-oriented implementations. Based in Markham, Ontario, she brings a rare combination of cross-cultural education and practical R&D leadership within a global telecommunications research organization.
9 years of coding experience
5 years of employment as a software developer
Exchange student, Electrical and Computer Engineering, 4.0/4, Exchange student, Electrical and Computer Engineering, 4.0/4 at National Taiwan University
Bachelor of Arts (B.A.), English Language and Literature, General, 78.9/100, Bachelor of Arts (B.A.), English Language and Literature, General, 78.9/100 at University of Science and Technology Beijing
Exchange student, Research project in PRISME laboratory., 17/20, Exchange student, Research project in PRISME laboratory., 17/20 at Université d'Orléans
Master of Engineering (M.Eng.), Electrical and Computer Engineering, 3.96, Master of Engineering (M.Eng.), Electrical and Computer Engineering, 3.96 at McGill University
English, French, Chinese