Hui Wu  Hui Wu photo         

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Research Staff Member and Manager
Thomas J. Watson Research Center, Yorktown Heights, NY USA


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Dr. Hui Wu is a research scientist and a manager at the IBM T.J. Watson Research Center. Her current work involves driving research innovations in Edge Data and AI areas.

Her past work includes: Computer vision and multi-modal learning for fashion image retrieval using natural dialogs. and Food visual recognition service at IBM Watson Developer Cloud

Prior to joining IBM Research in 2015, Dr. Wu received her PhD in Computer Science from University of North Carolina at Charlotte, after her four-year research work on medical image analysis and machine learning. Her work centered on research and design of computer vision algorithms to automatically analyze echocardiogram videos to assist heart function monitoring for patients under intensive care. Her work on echocardiogram analysis ranges from image enhancement such as video denoising and stabilization, cardiac chamber view classification and heart function classification. Her thesis proposed a series of image manifold learning algorithms with weakly labeled training data, which has been applied to diverse use cases such as weather analysis from webcam images and echocardiogram video analysis.

Her publications have appeared at main computer vision and AI research venues, including NeurIPS, CVPR, ACMMM, Medical Image Analysis, ISBI, etc. Additionally, she has given class lectures at New York University and University of North Carolina at Charlotte, on topics on machine learning, computer vision, data structure and algorithms.  

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