Kaixun Hua - RankMe

24 papers A* 4A 1B 2Misc 1Journal 13Unranked 3

Year	Rank	Type	Title / 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