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2020 – today
- 2023
[c9]Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua:
Multilingual Lexical Simplification via Paraphrase Generation. ECAI 2023: 1529-1535- [i5]Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao:
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples. CoRR abs/2301.00061 (2023) - [i4]Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua:
Multilingual Lexical Simplification via Paraphrase Generation. CoRR abs/2307.15286 (2023) - [i3]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 abs/2311.06952 (2023) - 2022
- [j2]Yun Li, Kaixun Hua, Yankai Cao:
Using stochastic programming to train neural network approximation of nonlinear MPC laws. Autom. 146: 110665 (2022) - [j1]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: 108351 (2022) - [c8]Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao:
Global Optimization of K-Center Clustering. ICML 2022: 19956-19966 - [c7]Kaixun Hua, Jiayang Ren, Yankai Cao:
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree. NeurIPS 2022 - [c6]Jiayang Ren, Kaixun Hua, Yankai Cao:
Global Optimal K-Medoids Clustering of One Million Samples. NeurIPS 2022 - [i2]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 abs/2201.01166 (2022) - 2021
- [c5]Kaixun Hua, Mingfei Shi, Yankai Cao:
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems. ICML 2021: 4391-4401
2010 – 2019
- 2019
- [i1]Dan A. Simovici, Kaixun Hua:
Data ultrametricity and clusterability. CoRR abs/1908.10833 (2019) - 2018
- [c4]Kaixun Hua, Dan A. Simovici:
Dual Criteria Determination of the Number of Clusters in Data. SYNASC 2018: 201-208 - 2016
- [c3]Kaixun Hua, Dan A. Simovici:
Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression. ICNSC 2016: 1-6 - 2015
- [c2]Dan A. Simovici, Rosanne Vetro, Kaixun Hua:
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. EGC 2015: 89-100 - [c1]Dan A. Simovici, Rosanne Vetro, Kaixun Hua:
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining. EGC (best of volume) 2015: 141-155
Coauthor Index
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