基本信息
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职业迁徙
个人简介
I am an assistant professor in the Department of Biostatistics at Harvard T.H. Chan School of Public Health.
My research aims to develop a new generation of inference methods and theory for modern statistics and machine learning, especially focusing on:
Combinatorial functionals like connectivity, degree, and other topological structures of graphs, ranking, clustering, hyper graphs, etc;
Complex data structures like high dimensionality, heterogeneity, nonlinearity, heavy-tailness, time-dependency, etc;
Complicated algorithms like distributed algorithms, nonconvex optimization, kernel methods, etc.
With the problems above, I am interested in studying the uncertainty assessment methodology, probabilistic universality phenomenon, and information-theoretical lower bound theory. My research finds main applications in computational neuroscience.
My research aims to develop a new generation of inference methods and theory for modern statistics and machine learning, especially focusing on:
Combinatorial functionals like connectivity, degree, and other topological structures of graphs, ranking, clustering, hyper graphs, etc;
Complex data structures like high dimensionality, heterogeneity, nonlinearity, heavy-tailness, time-dependency, etc;
Complicated algorithms like distributed algorithms, nonconvex optimization, kernel methods, etc.
With the problems above, I am interested in studying the uncertainty assessment methodology, probabilistic universality phenomenon, and information-theoretical lower bound theory. My research finds main applications in computational neuroscience.
研究兴趣
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arxiv(2024)
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JOURNAL OF MACHINE LEARNING RESEARCH (2023): 221:1-221:43
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Keming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian,Zheng Yuan,Tristan Naumann,Tianxi Cai,Junwei Lu
ClinicalNLP@ACLpp.247-258, (2023)
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arXiv (Cornell University) (2023)
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Oper. Res.no. 1 (2023): 202-223
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arxiv(2023)
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IEEE Transactions on Information Theoryno. 10 (2023): 6605-6618
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