Ming Yuan is affiliated with Columbia University in the United States and has a research profile spanning various fields within engineering and computer science. Their work encompasses significant contributions across multiple disciplines, including artificial intelligence, computational mathematics, computational mechanics, molecular biology, and statistics and probability.
The scientist's research topics cover a diverse range of advanced and technical areas. These include:
Ming Yuan has published research extensively in venues such as arXiv (Cornell University), SSRN Electronic Journal, The Annals of Statistics, Journal of the American Statistical Association, and Journal of the Royal Statistical Society Series B (Statistical Methodology). These publications reflect a consistent output in both theoretical and applied statistical research alongside interdisciplinary engineering domains.
Notable recent papers include:
Ming Yuan has collaborated frequently with a core group of coauthors. The most frequent collaborators include Arnab Auddy, Dong Xia, Anru R. Zhang, Guofu Zhou, and Jungjun Choi. These repeated collaborations suggest a focused research network within the domains of statistics, tensor methods, and applied mathematics.
Ming Yuan;Yi Lin
Ming Yuan;Yi Lin
Y. Hui Zou;Ming Yuan
Han Liu;Fang Han;Ming Yuan;John D. Lafferty
Ming Yuan
Ming Yuan;Yi Lin
Ming Yuan;Ali Ekici;Zhaosong Lu;Renato Monteiro
Lu Wang;Zibo Zhao;Mark B. Meyer;Sandeep Saha
Ming Yuan;T. Tony Cai
Ming Yuan;Cun-Hui Zhang
Ming Yuan;Yi Lin
Qing Mai;Hui Zou;Ming Yuan
T. Tony Cai;Ming Yuan
C. M. Kendziorski;M. Chen;M. Yuan;H. Lan
Vladimir Koltchinskii;Ming Yuan
Ming Yuan
Nan Du;Le Song;Ming Yuan;Alex J. Smola
Ying-Qi Zhao;Donglin Zeng;Eric B Laber;Rui Song
Erfan Khoram;Ang Chen;Dianjing Liu;Lei Ying
Ellen T Arena;Ellen T Arena;Curtis T Rueden;Mark C Hiner;Shulei Wang
Ming Yuan;Marten Wegkamp
Han Liu;Fang Han;Ming Yuan;Larry Wasserman
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