Dr. Yuhang Wu joined Visa Research as a Staff Research Scientist in January 2019. Yuhang received his Ph.D. in Computer Science from University of Houston in 2018, and B.S. in Intelligent Science and Technology from Capital Normal University in 2013. His Ph.D. thesis titled ‘Face Recognition in Unconstrained Conditions: Improving Face Alignment and Constructing a Pose-Invariant Compact Biometric Template’ focuses on robust and efficient algorithms for dealing with unconstrained face recognition problem under large head pose variation and occlusions.
Prior to joining Visa, Yuhang was a Research Assistant at University of Houston, working on deep learning-based face detection, alignment, reconstruction and recognition. Before working at University of Houston, he was a Research Intern at Visa Research, Qualcomm, and the Chinese Academy of Sciences.
As a member of the AI research team, his research interests are in adversarial machine learning, graph-based abnormal detection, and biometrics. He has published more than 10 papers in several international conferences and journals, including International Cryptocurrency Blockchain (ICB), International Conference on Biometrics: Theory, Applications, and Systems (BTAS), International Joint Conference on Biometrics (IJCB), Transactions on Biometrics, Behavior, and Identity Science (T-BIOM) and others. Dr. Wu is the recipient of numerous awards, including the Best Reviewer Award of ICME 2019, Best Ph.D. student of computer science department, University of Houston, and the highest honor of Shuping Scholarship, Beijing.