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个人简介
My research interests root in matrices, fundamental mathematical objects that are not numbers, but tables of numbers and also mappings between two universes. What I study are as deep as the theory and the computation, as wide as numerical analysis, scientific computing, and parallel processing, and as applied as statistics and machine learning. My work is heavily convoluted with data, because numerical and scalable computations play a crucial role there. A line of my efforts focuses on linear-complexity computations of large dense matrices defined by kernels. In practice, they entail the most common structure for matrices that are both large and dense. Linear complexity is the right, if not the only, way to match the theoretical appeals of matrix methods with the Moore's law progress of computer technology and the surge of data and information.
研究兴趣
论文共 80 篇作者统计合作学者相似作者
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Michael Sun,Minghao Guo, Weize Yuan,Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J Pedretti,Zachary P Smith,Jie Chen,
arxiv(2024)
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Olivia P. Pfeiffer,Kai Gong,Kristen A. Severson,Jie Chen, Jeremy R. Gregory,Soumya Ghosh, Richard T. Goodwin,Elsa A. Olivetti
CEMENT AND CONCRETE RESEARCH (2024): 107406
Yunsheng Tian, Ane Zuniga,Xinwei Zhang, Johannes P. Dürholt,Payel Das,Jie Chen,Wojciech Matusik,Mina Konaković Luković
CoRR (2024)
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arxiv(2023)
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CoRR (2023): 5257-5281
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Tim Kaler,Alexandros-Stavros Iliopoulos, Philip Murzynowski,Tao B. Schardl,Charles E. Leiserson,Jie Chen
CoRR (2023)
CoRR (2023): 36157-36173
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