Kaixun Hua

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 14

Top Topics

Global Optimization

Hierarchical Agglomerative

Battery Management

Top Venues

Publications

Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua
Multilingual Lexical Simplification via Paraphrase Generation. ECAI (2023)
Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets. CoRR (2023)
Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua
Multilingual Lexical Simplification via Paraphrase Generation. CoRR (2023)
Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR (2023)
Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation. CoRR (2022)
Jiayang Ren, Kaixun Hua, Yankai Cao
Global Optimal K-Medoids Clustering of One Million Samples. NeurIPS (2022)
Yun Li, Kaixun Hua, Yankai Cao
Using stochastic programming to train neural network approximation of nonlinear MPC laws. Autom. 146 (2022)
Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability. Reliab. Eng. Syst. Saf. 221 (2022)
Kaixun Hua, Jiayang Ren, Yankai Cao
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. NeurIPS (2022)
Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao
Global Optimization of K-Center Clustering. ICML (2022)
Kaixun Hua, Mingfei Shi, Yankai Cao
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. ICML (2021)
Dan A. Simovici, Kaixun Hua
Data ultrametricity and clusterability. CoRR (2019)
Kaixun Hua, Dan A. Simovici
Dual Criteria Determination of the Number of Clusters in Data. SYNASC (2018)
Kaixun Hua, Dan A. Simovici
Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression. ICNSC (2016)
Dan A. Simovici, Rosanne Vetro, Kaixun Hua
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. EGC (2015)
Dan A. Simovici, Rosanne Vetro, Kaixun Hua
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. EGC (best of volume) (2015)