基本信息
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职业迁徙
个人简介
My research spans machine learning theory, algorithms, and models, with persistent dedication to create stronger learning machines that adapt versatilely to the complex real world. I am actively working on transfer learning and domain adaptation, deep learning and foundation models, scientific learning and world models.
Our Machine Learning Group (THUML) is interested in empowering machine learning for representation, perception, prediction, and decision making with good tradeoff between accuracy, efficiency, generalizability, and transferability. We focus on major science and engineering problems of Artificial Intelligence (AI), including analysis and understanding of big data from IoT, Software, and Sciences.
Our Machine Learning Group (THUML) is interested in empowering machine learning for representation, perception, prediction, and decision making with good tradeoff between accuracy, efficiency, generalizability, and transferability. We focus on major science and engineering problems of Artificial Intelligence (AI), including analysis and understanding of big data from IoT, Software, and Sciences.
研究兴趣
论文共 163 篇作者统计合作学者相似作者
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CoRR (2024)
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CoRR (2024)
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CoRR (2024)
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CoRR (2024)
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arxiv(2024)
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IEEE Transactions on Pattern Analysis and Machine Intelligenceno. 3 (2024): 1319-1326
arxiv(2023)
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arxiv(2023)
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