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Description: Announcement of several fully funded positions in the PhD program for Fall 2025, Princeton University , New Jersey, USA🇺🇸
I'm a Research Scientist at Meta Fundamental AI Research (FAIR), New York. I received my PhD in Computer Science from UC Berkeley EECS, advised by Prof. Trevor Darrell. I was also fortunate to have worked as a visiting researcher / intern at Cornell, Intel Labs, Adobe Research and FAIR. I did my undergrad study in Computer Science at Yao Class, Tsinghua University.
My primary research areas are deep learning and computer vision. I work on deep learning model architectures, training, efficiency, and understanding. Recently, I've also been interested in studying (Vision-)Language Models, and datasets in learning.
My primary research areas are deep learning and computer vision. I work on deep learning model architectures, training, efficiency, and understanding. Recently, I'm also interested in studying datasets in learning, and (Vision-)Language Models.
Research
➡️ Deep Learning
➡️ Computer Vision
➡️ Neural Networks
➡️ Machine Learning
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Fields
Computer Science
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Qualifications
Master
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