Parameter-dependent L2-gain control synthesis. - Boe-Shong Hong; Asok Ray; Vigor Yang (ACC, 2000)

Anomaly Detection in Aircraft Gas Turbine Engines. - Devendra Kumar Tolani; Murat Yasar; Asok Ray; Vigor Yang (J. Aerosp. Comput. Inf. Commun., 2006)

Thickness-based adaptive mesh refinement methods for multi-phase flow simulations with thin regions. - Xiaodong Chen; Vigor Yang (J. Comput. Phys., 2014)

Data-Driven Analysis and Common Proper Orthogonal Decomposition (CPOD)-Based Spatio-Temporal Emulator for Design Exploration. - Shiang-Ting Yeh; Xingjian Wang; Chih-Li Sung; Simon Mak; Yu-Hung Chang; Liwei Zhang; C. F. Jeff Wu; Vigor Yang (CoRR, 2017)

Kernel-smoothed proper orthogonal decomposition (KSPOD)-based emulation for prediction of spatiotemporally evolving flow dynamics. - Yu-Hung Chang; Liwei Zhang; Xingjian Wang; Shiang-Ting Yeh; Simon Mak; Chih-Li Sung; C. F. Jeff Wu; Vigor Yang (CoRR, 2018)

Vaporization of liquid droplet with large deformation and high mass transfer rate, II: Variable-density, variable-property case. - Yanxing Wang; Xiaodong Chen; Xingjian Wang; Vigor Yang (J. Comput. Phys., 2019)

Vaporization of liquid droplet with large deformation and high mass transfer rate, I: Constant-density, constant-property case. - Yanxing Wang; Vigor Yang (J. Comput. Phys., 2019)

Neural Networks with Inputs Based on Domain of Dependence and A Converging Sequence for Solving Conservation Laws, Part I: 1D Riemann Problems. - Haoxiang Huang; Yingjie Liu; Vigor Yang (CoRR, 2021)

Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields. - Petro Junior Milan; Jean-Pierre Hickey; Xingjian Wang; Vigor Yang (J. Comput. Phys., 2021)

Neural Networks with Local Converging Inputs (NNLCI) for Solving Conservation Laws, Part II: 2D Problems. - Haoxiang Huang; Yingjie Liu; Vigor Yang (CoRR, 2022)

Neural Network with Local Converging Input (NNLCI) for Supersonic Flow Problems with Unstructured Grids. - Weiming Ding; Haoxiang Huang; Tzu Jung Lee; Yingjie Liu; Vigor Yang (CoRR, 2023)