He is a specialist in interior point methods, especially in convex minimization and linear programming.
He received a Ph.D in Engineering Economic Systems from Stanford University in 1988, under the supervision of George B. Dantzig.
[1] In recent years, Ye has developed computational methods and theory using semidefinite programming for practical problems like the localization of network sensors.
[2] Ye was a 2009 co-recipient of the John von Neumann Theory Prize.
[2] He was elected to the 2006 class of Fellows of the Institute for Operations Research and the Management Sciences.