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Kaixun Hua

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets
Global Optimal Explainable Models for Biorefining
A scalable deterministic global optimization algorithm for training optimal decision tree
Global optimal k-medoids clustering of one million samples
Using stochastic programming to train neural network approximation of nonlinear MPC laws
Global optimization of k-center clustering
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability
Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation
Stochastic optimal device sizing model for zero energy buildings: A parallel computing solution
A Scalable deterministic global optimization algorithm for clustering problems

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