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个人简介
My research interests lie in computer vision and machine learning. Concretely,
(1) I am interested in the structure and geometry of data space. In my graduate studies, I work on learning representations on Riemannian manifolds to match some properties of data.
(2) I am interested in knowledge mining, representation, and reasoning in machine learning, which make algorithms more robust, interpretable, and trustworthy.
(3) I am interested in machine learning in the open environment where insufficient annotation is provided and there is distribution shift between data, such as few-shot learning, meta-learning, self-supervised learning, and continual learning.
(1) I am interested in the structure and geometry of data space. In my graduate studies, I work on learning representations on Riemannian manifolds to match some properties of data.
(2) I am interested in knowledge mining, representation, and reasoning in machine learning, which make algorithms more robust, interpretable, and trustworthy.
(3) I am interested in machine learning in the open environment where insufficient annotation is provided and there is distribution shift between data, such as few-shot learning, meta-learning, self-supervised learning, and continual learning.
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