Kaixun Hua

24 papers A* 4A 1B 2Misc 1Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
PASS: Ambiguity Guided Subsets for Scalable Classical and Quantum Constrained Clustering.
CoRR
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
2025 J jnl
A Scalable Global Optimization Algorithm For Constrained Clustering.
CoRR
Pedro Chumpitaz-Flores, My Duong, Cristóbal Heredia, Kaixun Hua
2025 B conf
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification.
IEEE Big Data
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
2025 J jnl
QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification.
CoRR
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
2025 J jnl
RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees.
CoRR
Cristóbal Heredia, Pedro Chumpitaz-Flores, Kaixun Hua
2025 J jnl
SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes.
CoRR
Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua, Cheng Hua
2025 B conf
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices.
IEEE Big Data
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
2025 J jnl
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices.
CoRR
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
2023 J jnl
A GPU-Accelerated Moving-Horizon Algorithm for Training Deep Classification Trees on Large Datasets.
CoRR
Jiayang Ren, Valentín Osuna-Enciso, Morimasa Okamoto, Qiangqiang Mao, Chaojie Ji, Liang Cao, Kaixun Hua, Yankai Cao
2023 J jnl
A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.
CoRR
Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao
2023 A conf
Multilingual Lexical Simplification via Paraphrase Generation.
ECAI
Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua
2023 J jnl
Multilingual Lexical Simplification via Paraphrase Generation.
CoRR
Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua
2022 A* conf
A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree.
NeurIPS
Kaixun Hua, Jiayang Ren, Yankai Cao
2022 J jnl
Deep Learning-based Predictive Control of Battery Management for Frequency Regulation.
CoRR
Yun Li, Yixiu Wang, Yifu Chen, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
2022 A* conf
Global Optimal K-Medoids Clustering of One Million Samples.
NeurIPS
Jiayang Ren, Kaixun Hua, Yankai Cao
2022 A* conf
Global Optimization of K-Center Clustering.
ICML
Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao
2022 J jnl
Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability.
Reliab. Eng. Syst. Saf.
Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao
2022 J jnl
Using stochastic programming to train neural network approximation of nonlinear MPC laws.
Autom.
Yun Li, Kaixun Hua, Yankai Cao
2021 A* conf
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems.
ICML
Kaixun Hua, Mingfei Shi, Yankai Cao
2019 J jnl
Data ultrametricity and clusterability.
CoRR
Dan A. Simovici, Kaixun Hua
2018 Misc conf
Dual Criteria Determination of the Number of Clusters in Data.
SYNASC
Kaixun Hua, Dan A. Simovici
2016 — conf
Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression.
ICNSC
Kaixun Hua, Dan A. Simovici
2015 — conf
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining.
EGC
Dan A. Simovici, Rosanne Vetro, Kaixun Hua
2015 — conf
Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining.
EGC (best of volume)
Dan A. Simovici, Rosanne Vetro, Kaixun Hua