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Avartar
Shengli Hu is an AI research scientist in New York City. Her research experience and interests lie in intersdisciplinary research bridging social sciences, computational linguistics, computer vision, and speech. She has published in top conferences and journals in natural language processing, computer vision, speech, and applied statistics including Association of Computational Linguistics (ACL), Empirical Methods in Natural Language Processing (EMNLP), Computer Vision and Pattern Recognition (CVPR), European Conference on Computer Vision (ECCV), International Conference on Computer Vision (ICCV), InterSpeech, and Annals of Applied Statistics (AoAS). She received her PhD from Cornell University.
She is also a wine professional with credentials including Diploma in Wine with Merit by Wine and Spirits Education Trust (WSET), Certified Sommelier by The Court of Master Sommelier (CMS), Certified Specialist of Wine by The Society of Wine Educators, and Certified Specialist of Spirits by The Society of Wine Educators. She is working towards the Master of Wine diploma by the Institute of Master of Wine.
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Knowledge Graph Optical Character Recognition Style Transfer Image Colorization Deception Detection Food Recognition Image Geolocalization Causal Inference Functinal Data Analysis Text Generation Recommender System Algorithmic Bias Auction Theory