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个人简介
My research interests lie in machine learning and data science, especially in causal discovery, transfer learning, and deep learning. I study how the causal generative process of data can benefit learning in non-standard settings, such as transfer learning and weakly-supervised learning. I also develop methods to infer causal models from various kinds of observational data, including incomplete time series, noisy data, and nonstationary/heterogeneous data. On the application side, I am interested in computer vision, biomedical informatics, and economic data analysis.
研究兴趣
论文共 182 篇作者统计合作学者相似作者
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IEEE transactions on neural networks and learning systemsno. 99 (2024): 1-12
arxiv(2024)
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CoRR (2024)
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CVPR 2024 (2024)
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FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2024): 55-69
Junzhi Ning,Mingming Gong
DATABASES THEORY AND APPLICATIONS, ADC 2023 (2024): 164-182
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