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职业迁徙
个人简介
I taught Topics in Deep Learning: Methods and Biomedical Applications at Department of Statistics and Data Science, Yale University in Spring 2020, and will give three guest lectures on Deep Learning at Yale University in Spring 2021.
Martin Renqiang Min received his MSc and PhD degrees in Computer Science from Machine Learning Group, Department of Computer Science, University of Toronto. He did a one-year postdoc at Yale University. In May 2011, he accepted a tenure-track assistant professor position from Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Due to family reasons, he immigrated to New York Metropolitan Area. His research interests include machine learning and biomedical informatics, focusing on deep learning, text understanding, video analysis, and omics for precision medicine. He contributed to the ENCODE Project, for which he published a co-first-author research article on Nature. His recent text-to-video research was reported by Science, MIT Technology Review, and many other international news media. He was a co-chair of NIPS Workshop on Machine Learning in Computational Biology in 2014. Since 2012, he has been a research staff member of NEC Labs America, Princeton.
Martin Renqiang Min received his MSc and PhD degrees in Computer Science from Machine Learning Group, Department of Computer Science, University of Toronto. He did a one-year postdoc at Yale University. In May 2011, he accepted a tenure-track assistant professor position from Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Due to family reasons, he immigrated to New York Metropolitan Area. His research interests include machine learning and biomedical informatics, focusing on deep learning, text understanding, video analysis, and omics for precision medicine. He contributed to the ENCODE Project, for which he published a co-first-author research article on Nature. His recent text-to-video research was reported by Science, MIT Technology Review, and many other international news media. He was a co-chair of NIPS Workshop on Machine Learning in Computational Biology in 2014. Since 2012, he has been a research staff member of NEC Labs America, Princeton.
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NeurIPS (2023)
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CVPR 2023 (2023): 18444-18455
BIOINFORMATICS ADVANCES (2023)
arXiv (Cornell University) (2023)
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CVPR 2023pp.14643-14652, (2023)
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