Kung Yao is affiliated with the University of California, Los Angeles, in the United States. Their research spans multiple fields, centered primarily on engineering and computer science. The main areas of study include signal processing, computational mechanics, and civil and structural engineering.
The scientist's work focuses notably on the following topics:
Among recent publications, Kung Yao has contributed to the paper titled EM Based p-norm-like Constraint RLS Algorithm for Sparse System Identification, published in 2023 in the venue arXiv (Cornell University). This paper highlights advancements in adaptive filtering and sparse system identification techniques.
Frequent co-authorship includes collaboration with Shuyang Jiang, with whom Kung Yao has worked on at least one shared publication.
Publication venues connected with their work include:
Kung Yao's contributions have been recognized through awards, notably being named an IEEE Fellow in 1994. The award citation specifically acknowledged contributions to communication theory, signal theory, and systolic algorithms.
J.C. Chen;R.E. Hudson;Kung Yao
Daniel T. Blumstein;Daniel J. Mennill;Patrick Clemins;Lewis Girod
A. Abbasfar;D. Divsalar;Kung Yao
Kung Yao
Hanbiao Wang;G. Pottie;Kung Yao;D. Estrin
Kung Yao;R.E. Hudson;C.W. Reed;Daching Chen
Joe Chen;L Yip;J Elson;H B Wang
D. Lu;K. Yao
Hanbiao Wang;J. Elson;L. Girod;D. Estrin
M. Sushchik;N. Rulkov;L. Larson;L. Tsimring
Andreas Mantik Ali;Shadnaz Asgari;Travis C. Collier;Michael Allen
Kung Yao
C.-C. Chen;K. Yao;K. Umeno;E. Biglieri
Zhengjiu Kang;Kung Yao;F. Lorenzelli
Andreas M. Ali;Kung Yao;Travis C. Collier;Charles E. Taylor
J.-C. Chen;D. Lu;J.S. Sadowsky;K. Yao
Chiao En Chen;F. Lorenzelli;R.E. Hudson;Kung Yao
Ezio Biglieri;Kung Yao
Tai-Lai Tung;Kung Yao;R.E. Hudson
J.C. Chen;K. Yao;R.E. Hudson
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