Iterative Improvement of Neural Classifiers. - Jiang Li 001; Michael T. Manry; Li-min Liu; Changhua Yu; John Wei (FLAIRS, 2004)

Prototype Based Classifier Design with Pruning. - Jiang Li 001; Michael T. Manry; Changhua Yu (FLAIRS, 2004)

Invariance of MLP Training to Input Feature De-correlation. - Changhua Yu; Michael T. Manry; Jiang Li 001 (FLAIRS, 2004)

Hidden Layer Training via Hessian Matrix Information. - Changhua Yu; Michael T. Manry; Jiang Li 001 (FLAIRS, 2004)

Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. - Pramod Lakshmi Narasimha; Michael T. Manry; Changhua Yu (FLAIRS, 2005)

Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. - Changhua Yu; Michael T. Manry; Pramod Lakshmi Narasimha (FLAIRS, 2005)

Iterative Design of Neural Network Classifiers Through Regression. - R. G. Gore; Jiang Li 001; Michael T. Manry; Li-min Liu; Changhua Yu; John Wei (Int. J. Artif. Intell. Tools, 2005)

Prototype Classifier Design with Pruning. - Jiang Li 001; Michael T. Manry; Changhua Yu; D. Randall Wilson (Int. J. Artif. Intell. Tools, 2005)

Effects Of Nonsingular Preprocessing On Feedforward Network Training. - Changhua Yu; Michael T. Manry; Jiang Li 001 (Int. J. Pattern Recognit. Artif. Intell., 2005)

An efficient hidden layer training method for the multilayer perceptron. - Changhua Yu; Michael T. Manry; Jiang Li 001; Pramod Lakshmi Narasimha (Neurocomputing, 2006)

Feature Selection Using a Piecewise Linear Network. - Jiang Li 001; Michael T. Manry; Pramod Lakshmi Narasimha; Changhua Yu (IEEE Trans. Neural Networks, 2006)

Convergent design of piecewise linear neural networks. - Hema Chandrasekaran; Jiang Li 001; Walter H. Delashmit; Pramod Lakshmi Narasimha; Changhua Yu; Michael T. Manry (Neurocomputing, 2007)

Biquadratic finite volume element methods based on optimal stress points for parabolic problems. - Changhua Yu; Yonghai Li (J. Comput. Appl. Math., 2011)

The finite volume element methods for Poisson equation based on Adini's element. - Changhua Yu; Yanhe Wang; Yonghai Li (Appl. Math. Comput., 2013)

Properties of a Batch Training Algorithm for Feedforward Networks. - Melvin Deloyd Robinson; Michael T. Manry; Sanjeev S. Malalur; Changhua Yu (Neural Process. Lett., 2017)

SCOPe: improvements to the structural classification of proteins - extended database to facilitate variant interpretation and machine learning. - John-Marc Chandonia; Lindsey Guan; Shiangyi Lin; Changhua Yu; Naomi K. Fox; Steven E. Brenner (Nucleic Acids Res., 2022)

Optimal monetary policy in production networks with distortions. - Zhihao Xu; Changhua Yu (J. Econ. Theory, 2025)