Weixin Yao - RankMe

40 papers A* 2Journal 37Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Machine learning embedded EM algorithms for semiparametric mixture regression models. Comput. Stat. Jiacheng Xue, Weixin Yao, Sijia Xiang
2025	J	`jnl`	Online Kernel-Based Mode Learning. J. Comput. Graph. Stat. Tao Wang, Weixin Yao
2025	J	`jnl`	POLARIS: A High-contrast Polarimetric Imaging Benchmark Dataset for Exoplanetary Disk Representation Learning. CoRR Fangyi Cao, Bin Ren, Zihao Wang, Shiwei Fu, Youbin Mo, Xiaoyang Liu, Yuzhou Chen, Weixin Yao
2025	J	`jnl`	Pursuing Homogeneity and Sparsity in Simultaneous Quantile Regression. J. Comput. Graph. Stat. Zhen Zeng, Weixin Yao
2024	J	`jnl`	A new bandwidth selection method for nonparametric modal regression based on generalized hyperbolic distributions. Comput. Stat. Hongpeng Yuan, Sijia Xiang, Weixin Yao
2024	A*	`conf`	Supervised Matrix Factorization: Local Landscape Analysis and Applications. ICML Joowon Lee, Hanbaek Lyu, Weixin Yao
2023	A*	`conf`	Exponentially Convergent Algorithms for Supervised Matrix Factorization. NeurIPS Joowon Lee, Hanbaek Lyu, Weixin Yao
2023	J	`jnl`	Exponentially Convergent Algorithms for Supervised Matrix Factorization. CoRR Joowon Lee, Hanbaek Lyu, Weixin Yao
2023	J	`jnl`	Nonparametric and Semiparametric Quantile Regression via a New MM Algorithm. J. Comput. Graph. Stat. Bo Kai, Mian Huang, Weixin Yao, Yuexiao Dong
2022	J	`jnl`	A Fast Inter-prediction Mode Decision Algorithm for HEVC Based on Spatial-Temporal Correlation. J. Inf. Process. Syst. Weixin Yao, Dan Yang
2022	J	`jnl`	A new class of multivariate goodness of fit tests for multivariate normal mixtures. Commun. Stat. Simul. Comput. Supawadee Wichitchan, Weixin Yao, Chun Yu
2022	J	`jnl`	Editorial for ADAC issue 1 of volume 16 (2022). Adv. Data Anal. Classif. Salvatore Ingrassia, Julien Jacques, Weixin Yao
2022	J	`jnl`	Nonparametric statistical learning based on modal regression. J. Comput. Appl. Math. Sijia Xiang, Weixin Yao
2022	J	`jnl`	Robust estimation and outlier detection for varying-coefficient models via penalized regression. Commun. Stat. Simul. Comput. Guangren Yang, Sijia Xiang, Weixin Yao, Lin Xu
2022	J	`jnl`	Special issue on "Models and learning for clustering and Classification". Adv. Data Anal. Classif. Salvatore Ingrassia, Julien Jacques, Weixin Yao
2022	J	`jnl`	Supervised Dictionary Learning with Auxiliary Covariates. CoRR Joowon Lee, Hanbaek Lyu, Weixin Yao
2021	J	`jnl`	Regression estimation via information-weighted composite models with different dimensions. Commun. Stat. Simul. Comput. Mian Huang, Kang He, Weixin Yao
2020	J	`jnl`	Pursuing Sources of Heterogeneity in Modeling Clustered Population. CoRR Yan Li, Chun Yu, Yize Zhao, Robert H. Aseltine, Weixin Yao, Kun Chen
2020	J	`jnl`	Semiparametric mixtures of regressions with single-index for model based clustering. Adv. Data Anal. Classif. Sijia Xiang, Weixin Yao
2019	—	`conf`	Estimation of Behind-the-Meter Solar Generation by Integrating Physical with Statistical Models. SmartGridComm Farzana Kabir, Nanpeng Yu, Weixin Yao, Rui Yang, Yingchen Zhang
2019	J	`jnl`	Hypothesis testing for finite mixture models. Comput. Stat. Data Anal. Supawadee Wichitchan, Weixin Yao, Guangren Yang
2019	J	`jnl`	Robust maximum Lq-likelihood estimation of joint mean-covariance models for longitudinal data. J. Multivar. Anal. Lin Xu, Sijia Xiang, Weixin Yao
2017	J	`jnl`	Relabel mixture models via modal clustering. Commun. Stat. Simul. Comput. Qiang Wu, Weixin Yao
2017	J	`jnl`	Robust fitting of mixtures of factor analyzers using the trimmed likelihood estimator. Commun. Stat. Simul. Comput. Li Yang, Sijia Xiang, Weixin Yao
2017	J	`jnl`	Robust linear regression: A review and comparison. Commun. Stat. Simul. Comput. Chun Yu, Weixin Yao
2017	J	`jnl`	The robust EM-type algorithms for log-concave mixtures of regression models. Comput. Stat. Data Anal. Hao Hu, Weixin Yao, Yichao Wu
2016	J	`jnl`	Maximum likelihood estimation of the mixture of log-concave densities. Comput. Stat. Data Anal. Hao Hu, Yichao Wu, Weixin Yao
2016	J	`jnl`	Mixture of functional linear models and its application to CO Comput. Stat. Data Anal. Shaoli Wang, Mian Huang, Xing Wu, Weixin Yao
2016	J	`jnl`	Mixtures of quantile regressions. Comput. Stat. Data Anal. Qiang Wu, Weixin Yao
2016	J	`jnl`	Robust estimation of the number of components for mixtures of linear regression models. Comput. Stat. Meng Li, Sijia Xiang, Weixin Yao
2016	J	`jnl`	Semiparametric mixture: Continuous scale mixture approach. Comput. Stat. Data Anal. Sijia Xiang, Weixin Yao, Byungtae Seo
2015	J	`jnl`	Adaptive estimation for varying coefficient models. J. Multivar. Anal. Yixin Chen, Qin Wang, Weixin Yao
2014	J	`jnl`	Robust mixture regression model fitting by Laplace distribution. Comput. Stat. Data Anal. Weixing Song, Weixin Yao, Yanru Xing
2014	J	`jnl`	Robust mixture regression using the t-distribution. Comput. Stat. Data Anal. Weixin Yao, Yan Wei, Chun Yu
2013	J	`jnl`	A Simple Solution to Bayesian Mixture Labeling. Commun. Stat. Simul. Comput. Weixin Yao
2013	J	`jnl`	Robust variable selection through MAVE. Comput. Stat. Data Anal. Weixin Yao, Qin Wang
2012	J	`jnl`	An adaptive estimation of MAVE. J. Multivar. Anal. Qin Wang, Weixin Yao
2012	J	`jnl`	Model based labeling for mixture models. Stat. Comput. Weixin Yao
2012	J	`jnl`	Robust fitting of mixture regression models. Comput. Stat. Data Anal. Xiuqin Bai, Weixin Yao, John E. Boyer
2005	J	`jnl`	Interoperability: an indispensable propellant of e-China. Int. J. Serv. Stand. Weixin Yao