Zhiding Yu is an accomplished researcher in the field of artificial intelligence, with significant experience in developing multimodal foundation models and general intelligence. Yu began a career in research as a summer intern at Adobe Research in 2013, followed by an internship at Microsoft Research in 2015, where work contributed to the Microsoft Emotion Recognition API and earned recognition at the EmotiW-SFEW Challenge 2015. A research internship at MERL in 2016 resulted in the proposal of an innovative deep semantic edge learning framework, leading to publication at CVPR 2017. Yu joined NVIDIA in 2020 as a Senior Research Scientist and progressed to a leadership role as Principal Research Scientist & Research Lead by 2023. Educational credentials include a Bachelor's degree in Information Engineering from South China University of Technology, a Master of Philosophy in Electronic & Computer Engineering from The Hong Kong University of Science and Technology, and a Ph.D. in Electrical & Computer Engineering from Carnegie Mellon University.
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