K. Won

Monte Carlo Bayesian Reinforcement Learning

David Hsu, Yi Wang, Wee Sun Lee, 2012, ICML.

A framework for design optimization using surrogates

T. Ray, K. Won, 2005 .

A framework for optimization using approximate functions

T. Ray, K. Tai, K. Won, 2003, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Flutter Simulation and Prediction Via Identification of Non-Linear Impulse Response

T. Ray, H. Tsai, K. Won, 2005 .

CIT 595 Project A Study of Wearable Computing

Fatima A. Boujarwah, K. Won, Laxmi Nair, 2007 .

Intention-Aware Motion Planning

Emilio Frazzoli, David Hsu, Daniela Rus, 2013, WAFR.

Flutter Simulation and Prediction with CFD-based Reduced-Order Model

Kwok Leung Lai, Her Mann Tsai, Kok Sung Won, 2006 .

Study on the behaviour and implementation of parent centric crossover within the generalized generation gap model

Tapabrata Ray, Kok Sung Won, Kian Ping Chan, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).

Non-linear Impulse Methods for Aeroelastic Simulations

Feng Liu, Mani Sadeghi, Kok Won, 2005 .

Performance of kriging and cokriging based surrogate models within the unified framework for surrogate assisted optimization

Tapabrata Ray, Kok Sung Won, T. Ray, 2004, Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753).