基本信息
浏览量:190
职业迁徙
个人简介
My current research interest lies in Efficent AI and Statitical ML:
Knowledge Efficiency, that empowers the AI systems to learn new tasks with the knowledge from trained models and human experts.
Data Efficency. Focus on self-supervised & semi-supervised & weak-supervised learning or learning with synthesized data.
Statitical ML. Focus on statitical modelling, generative models, trust-worthy learning (interpretability and robustness) and graph learning, ideally, with theoretical basis or guarantee.
Knowledge Efficiency, that empowers the AI systems to learn new tasks with the knowledge from trained models and human experts.
Data Efficency. Focus on self-supervised & semi-supervised & weak-supervised learning or learning with synthesized data.
Statitical ML. Focus on statitical modelling, generative models, trust-worthy learning (interpretability and robustness) and graph learning, ideally, with theoretical basis or guarantee.
研究兴趣
论文共 42 篇作者统计合作学者相似作者
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引用量
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CoRR (2024)
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arxiv(2024)
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2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)pp.7685-7694, (2024)
ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT IV (2024): 93-105
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)pp.24294-24304, (2024)
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作者统计
#Papers: 42
#Citation: 1106
H-Index: 14
G-Index: 33
Sociability: 6
Diversity: 0
Activity: 2
合作学者
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D-Core
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