Wu-chun Feng is affiliated with Virginia Tech in the United States and has contributed extensively to research in computer science and medicine. Their work spans multiple interdisciplinary domains, with a focus on medical imaging, machine learning, and parallel computing.
The main fields of study associated with Wu-chun Feng include:
Within these broad areas, the subfields explored comprise:
The research topics often addressed in Wu-chun Feng's publications are:
Wu-chun Feng has authored papers in several reputable venues, with frequent publications in:
Notable recent papers include:
Frequent collaborators with Wu-chun Feng comprise:
F. Petrini;Wu-chun Feng;A. Hoisie;S. Coll
Chung-hsing Hsu;Wu-chun Feng
A. E. Darling;L. Carey;W. C. Feng
Shucai Xiao;Wu-chun Feng
Wu-chun Feng;K.W. Cameron
Rong Ge;Xizhou Feng;Wu-chun Feng;K.W. Cameron
Cheng Jin;D. Wei;S.H. Low;J. Bunn
S. Huang;S. Xiao;W. Feng
Heshan Lin;Xiaosong Ma;Jeremy Archuleta;Wu-chun Feng
W. Feng;P. Tinnakornsrisuphap
Mayank Daga;Ashwin M. Aji;Wu-chun Feng
W. Feng;P. Balaji;C. Baron;L.N. Bhuyan
Wu-chun Feng;Xizhou Feng;Rong Ce
Wu-chun Feng
F. Petrini;A. Hoisie;Wu-chun Feng;R. Graham
S. Huang;W. Feng
Wu-chun Feng;Justin (Gus) Hurwitz;Harvey Newman;Sylvain Ravot
R. Kasturi;R. Fernandez;M.L. Amlani;W.-C. Feng
Sushant Sharma;Chung-Hsing Hsu;Wu-chun Feng
Y. Jiao;H. Lin;P. Balaji;W. Feng
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