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Kaixun Hua
Kaixun Hua
Assistant Professor, University of South Florida
Verified email at usf.edu - Homepage
Title
Cited by
Cited by
Year
Water price prediction for increasing market efficiency using random forest regression: A case study in the Western United States
Z Xu, J Lian, L Bin, K Hua, K Xu, HY Chan
Water 11 (2), 228, 2019
172019
Using stochastic programming to train neural network approximation of nonlinear MPC laws
Y Li, K Hua, Y Cao
Automatica 146, 110665, 2022
112022
Long-lead term precipitation forecasting by hierarchical clustering-based bayesian structural vector autoregression
K Hua, DA Simovici
2016 IEEE 13th International Conference on Networking, Sensing, and Control …, 2016
112016
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability
Q Chen, L Zuo, C Wu, Y Li, K Hua, M Mehrtash, Y Cao
Reliability Engineering & System Safety 221, 108351, 2022
92022
A Scalable deterministic global optimization algorithm for clustering problems
K Hua, M Shi, Y Cao
International Conference on Machine Learning, 4391-4401, 2021
72021
Data ultrametricity and clusterability
D Simovici, K Hua
Journal of Physics: Conference Series 1334 (1), 012002, 2019
72019
A scalable deterministic global optimization algorithm for training optimal decision tree
K Hua, J Ren, Y Cao
Advances in Neural Information Processing Systems 35, 8347-8359, 2022
52022
Global Optimal K-Medoids Clustering of One Million Samples
J Ren*, K Hua*, Y Cao
Advances in Neural Information Processing Systems 35, 982-994, 2022
52022
Ultrametricity of dissimilarity spaces and its significance for data mining
DA Simovici, R Vetro, K Hua
Advances in Knowledge Discovery and Management: Volume 6, 141-155, 2017
52017
Development of method for assessing water footprint sustainability
Z Xu, J Lian, R Wang, Y Qiu, T Song, K Hua
Water 14 (5), 694, 2022
42022
Global Optimization of K-Center Clustering
M Shi*, K Hua*, J Ren, Y Cao
International Conference on Machine Learning, 19956-19966, 2022
32022
Deep-Learning-Based Predictive Control of Battery Management for Frequency Regulation
Y Li, Y Wang, Y Chen, Y Lu, K Hua, J Ren, G Mozafari, Q Lu, Y Cao
Industrial & Engineering Chemistry Research 61 (24), 8432-8442, 2022
32022
Stochastic optimal device sizing model for zero energy buildings: A parallel computing solution
M Mehrtash, G Mozafari, K Hua, Y Cao
IEEE Transactions on Industry Applications 58 (3), 3275-3284, 2022
12022
Clusterability, model selection and evaluation
K Hua
University of Massachusetts Boston, 2019
12019
Dual criteria determination of the number of clusters in data
K Hua, DA Simovici
2018 20th International Symposium on Symbolic and Numeric Algorithms for …, 2018
12018
Prediction of Patient Survival After Kidney Transplantation: Construction, Validation and Evaluation of Decision Models Using Data Mining Approaches
I Scheffner, K Hua, D Simovici, T Abeling, H Haller, W Gwinner
AMERICAN JOURNAL OF TRANSPLANTATION 16, 572-573, 2016
12016
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets
J Ren, V Osuna-Enciso, M Okamoto, Q Mao, C Ji, L Cao, K Hua, Y Cao
arXiv preprint arXiv:2311.06952, 2023
2023
Multilingual Lexical Simplification via Paraphrase Generation
K Liu, J Qiang, Y Li, Y Yuan, Y Zhu, K Hua
arXiv preprint arXiv:2307.15286, 2023
2023
Global Optimal Explainable Models for Biorefining
J Ren, K Hua, H Trajano, Y Cao
Computer Aided Chemical Engineering 52, 1339-1346, 2023
2023
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples
J Ren, N You, K Hua, C Ji, Y Cao
arXiv preprint arXiv:2301.00061, 2022
2022
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