Kaixun Hua

According to our database, Kaixun Hua authored at least 23 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

PASS: Ambiguity Guided Subsets for Scalable Classical and Quantum Constrained Clustering.

Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua

CoRR, January, 2026

Navigating Crisis: How Government Support Shapes Operational Resilience.

Ningning You, Yitian Lou, XiaoPing Zhao, Pufan You, Pedro Chumpitaz-Flores, Kaixun Hua

IEEE Trans. Engineering Management, 2026

A Global Optimization Algorithm for <i>K</i> -Center Clustering of One Billion Samples.

Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao

Manag. Sci., 2026

FairHireBench: A Cross-Generational Intersectional Bias Benchmark for Large Language Models in Automated Hiring.

Sweta J. Ratnani, Lingyao Li, Yitian Lou, Mingyang Li, Kaixun Hua

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025

RS-ORT: A Reduced-Space Branch-and-Bound Algorithm for Optimal Regression Trees.

Cristóbal Heredia, Pedro Chumpitaz-Flores, Kaixun Hua

CoRR, October, 2025

A Scalable Global Optimization Algorithm For Constrained Clustering.

Pedro Chumpitaz-Flores, My Duong, Cristóbal Heredia, Kaixun Hua

CoRR, October, 2025

SPOT: Scalable Policy Optimization with Trees for Markov Decision Processes.

Xuyuan Xiong, Pedro Chumpitaz-Flores, Kaixun Hua, Cheng Hua

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

QIBONN: A Quantum-Inspired Bilevel Optimizer for Neural Networks on Tabular Classification.

Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua

Proceedings of the IEEE International Conference on Big Data, 2025

qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices.

Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua

Proceedings of the IEEE International Conference on Big Data, 2025

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

A Global Optimization Algorithm for K-Center Clustering of One Billion Samples.

Jiayang Ren, Ningning You, Kaixun Hua, Chaojie Ji, Yankai Cao

CoRR, 2023

Multilingual Lexical Simplification via Paraphrase Generation.

Kang Liu, Jipeng Qiang, Yun Li, Yunhao Yuan, Yi Zhu, Kaixun Hua

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Optimization of compressor standby schemes for gas transmission pipeline systems based on gas delivery reliability.

Qian Chen, Lili Zuo, Changchun Wu, Yun Li, Kaixun Hua, Mahdi Mehrtash, Yankai Cao

Reliab. Eng. Syst. Saf., 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

Using stochastic programming to train neural network approximation of nonlinear MPC laws.

Yun Li, Kaixun Hua, Yankai Cao

Autom., 2022

Global Optimal K-Medoids Clustering of One Million Samples.

Jiayang Ren, Kaixun Hua, Yankai Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree.

Kaixun Hua, Jiayang Ren, Yankai Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Global Optimization of K-Center Clustering.

Mingfei Shi, Kaixun Hua, Jiayang Ren, Yankai Cao

Proceedings of the International Conference on Machine Learning, 2022

2021

A Scalable Deterministic Global Optimization Algorithm for Clustering Problems.

Kaixun Hua, Mingfei Shi, Yankai Cao

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Data ultrametricity and clusterability.

Dan A. Simovici, Kaixun Hua

CoRR, 2019

2018

Dual Criteria Determination of the Number of Clusters in Data.

Kaixun Hua, Dan A. Simovici

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

2016

Long-lead term precipitation forecasting by Hierarchical Clustering-based Bayesian Structural Vector Autoregression.

Kaixun Hua, Dan A. Simovici

Proceedings of the 13th IEEE International Conference on Networking, Sensing, and Control, 2016

2015

Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining.

Dan A. Simovici, Rosanne Vetro, Kaixun Hua

Proceedings of the Advances in Knowledge Discovery and Management, 2015