Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. - Dan A. Simovici; Rosanne Vetro; Kaixun Hua (EGC (best of volume), 2015)

Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression. - Kaixun Hua; Dan A. Simovici (ICNSC, 2016)

Dual Criteria Determination of the Number of Clusters in Data. - Kaixun Hua; Dan A. Simovici (SYNASC, 2018)

Data ultrametricity and clusterability. - Dan A. Simovici; Kaixun Hua (CoRR, 2019)

A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. - Kaixun Hua; Mingfei Shi; Yankai Cao (ICML, 2021)

Global Optimization of K-Center Clustering. - Mingfei Shi; Kaixun Hua; Jiayang Ren; Yankai Cao (ICML, 2022)

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. - Kaixun Hua; Jiayang Ren; Yankai Cao (NeurIPS, 2022)

Global Optimal K-Medoids Clustering of One Million Samples. - Jiayang Ren; Kaixun Hua; Yankai Cao (NeurIPS, 2022)

Using stochastic programming to train neural network approximation of nonlinear MPC laws. - Yun Li; Kaixun Hua; Yankai Cao (Autom., 2022)

Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. - Yun Li; Yixiu Wang; Yifu Chen; Kaixun Hua; Jiayang Ren; Ghazaleh Mozafari; Qiugang Lu; Yankai Cao (CoRR, 2022)

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability. - Qian Chen 010; Lili Zuo; Changchun Wu; Yun Li; Kaixun Hua; Mahdi Mehrtash; Yankai Cao (Reliab. Eng. Syst. Saf., 2022)

Multilingual Lexical Simplification via Paraphrase Generation. - Kang Liu; Jipeng Qiang; Yun Li 010; Yunhao Yuan 001; Yi Zhu 006; Kaixun Hua (ECAI, 2023)

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. - Jiayang Ren; Ningning You; Kaixun Hua; Chaojie Ji; Yankai Cao (CoRR, 2023)

A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. - Jiayang Ren; Valentín Osuna-Enciso; Morimasa Okamoto; Qiangqiang Mao; Chaojie Ji; Liang Cao; Kaixun Hua; Yankai Cao (CoRR, 2023)

SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes. - Xuyuan Xiong; Pedro Chumpitaz-Flores; Kaixun Hua; Cheng Hua (CoRR, 2025)

A Scalable Global Optimization Algorithm For Constrained Clustering. - Pedro Chumpitaz-Flores; My Duong; Cristóbal Heredia; Kaixun Hua (CoRR, 2025)

qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices. - Pedro Chumpitaz-Flores; My Duong; Ying Mao; Kaixun Hua (CoRR, 2025)

RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees. - Cristóbal Heredia; Pedro Chumpitaz-Flores; Kaixun Hua (CoRR, 2025)