Jun Yang is affiliated with Duke University in the United States and has a research profile that spans several domains in computer science, mathematics, and engineering. Their work primarily focuses on optimization and variational analysis, with significant contributions to advanced optimization algorithms and related mathematical methods.
The scientist's main fields of study include:
Within these disciplines, Jun Yang's subfields of specialization cover:
The topics addressed in their research comprise:
Jun Yang has authored and coauthored multiple peer-reviewed papers. Some recent works include:
Frequent coauthors collaborating with Jun Yang include:
Jun Yang's works are often published in venues such as:
In recognition of their contributions, Jun Yang was named an ACM Distinguished Member in 2019.
Hao He;Haixun Wang;Jun Yang;Philip S. Yu
Laura M. Haas;Donald Kossmann;Edward L. Wimmers;Jun Yang
Haixun Wang;Hao He;Jun Yang;P.S. Yu
Jun Yang;Jennifer Widom
A.S. Silberstein;R. Braynard;C. Ellis;K. Munagala
Adam Silberstein;Rebecca Braynard;Jun Yang
Yinan Li;Bingsheng He;Robin Jun Yang;Qiong Luo
You Wu;Pankaj K. Agarwal;Chengkai Li;Jun Yang
Ke Yi;Hai Yu;Jun Yang;Gangqiang Xia
Jun Yang;J. Widom
Arun Kumar;Matthias Boehm;Jun Yang
Rada Chirkova;Jun Yang
Adam Silberstein;Kamesh Munagala;Jun Yang
Rada Chirkova;Jun Yang;Dan Suciu
Fa-Long Luo;Jun Yang;C. Pavlovic;A. Nehorai
Hao He;Jun Yang
Wilburt Labio;Jun Yang;Yingwei Cui;Hector Garcia-Molina
Hector Garcia-Molina;Wilburt Labio;Jun Yang
Albert Yu;Pankaj K. Agarwal;Jun Yang
Jun Yang;Jennifer Widom
Botong Huang;Shivnath Babu;Jun Yang
Sarah Cohen;Chengkai Li;Jun Yang;Cong Yu
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