基本信息
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个人简介
My principal research interests lie in the development of machine learning and statistical methodology, and large-scale computational system and architecture, for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in artificial, biological, and social systems.
In the SAILING Lab, we strive to explore a standardized and unified approach to Machine Learning. Our research spans across core machine learning algorithms and theory, adaptive and scalable systems for machine learning, and applications of machine learning in a number of areas including healthcare, augmented intelligence, and autonomous control. We develop trustworthy, explainable, and personalizable methods for reasoning and decision-making with visual, textual, bio-omic, and time serious data, and general theoretical and system frameworks for compositional ML, meta ML, and auto ML.
In the SAILING Lab, we strive to explore a standardized and unified approach to Machine Learning. Our research spans across core machine learning algorithms and theory, adaptive and scalable systems for machine learning, and applications of machine learning in a number of areas including healthcare, augmented intelligence, and autonomous control. We develop trustworthy, explainable, and personalizable methods for reasoning and decision-making with visual, textual, bio-omic, and time serious data, and general theoretical and system frameworks for compositional ML, meta ML, and auto ML.
研究兴趣
论文共 757 篇作者统计合作学者相似作者
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Guangyi Liu,Yu Wang, Zeyu Feng, Qiyu Wu, Liping Tang,Yuan Gao,Zhen Li,Shuguang Cui,Julian McAuley,Eric P. Xing,Zichao Yang,Zhiting Hu
arxiv(2024)
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IEEE Transactions on Knowledge and Data Engineeringno. 3 (2024): 1161-1169
International Journal of Computer Vision (2024): 1-20
CVPR 2024 (2024)
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arxiv(2024)
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CoRR (2024)
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arxiv(2024)
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biorxiv(2024)
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