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ORCIDXinyuan Song
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j49]Qingzhi Zhong, Xinyuan Song
:
Sparse functional varying-coefficient mixture regression. J. Multivar. Anal. 206: 105383 (2025)- 2024
- [j48]Chuchu Wang, Xinyuan Song:
Nonparametric quantile scalar-on-image regression. Comput. Stat. Data Anal. 191: 107873 (2024) - [j47]Yudan Zou, Yiqi Lin, Xinyuan Song:
Bayesian Heterogeneous Hidden Markov Models with an Unknown Number of States. J. Comput. Graph. Stat. 33(1): 15-24 (2024) - [j46]Ping Yu, Xinyuan Song, Jiang Du:
Composite expectile estimation in partial functional linear regression model. J. Multivar. Anal. 203: 105343 (2024) - [j45]Jingjing Jiang, Chunjie Wang, Deng Pan, Xinyuan Song:
Transformation models with informative partly interval-censored data. Stat. Comput. 34(1): 8 (2024) - [j44]Rongqian Sun, Xinyuan Song:
Bayesian tree-based heterogeneous mediation analysis with a time-to-event outcome. Stat. Comput. 34(1): 24 (2024) - [j43]Peiyao Huang, Shuwei Li, Xinyuan Song:
Distributed additive hazards regression analysis of multi-site current status data without using individual-level data. Stat. Comput. 34(6): 208 (2024) - [i6]Keyu Chen, Cheng Fei, Ziqian Bi, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Jintao Ren, Qian Niu, Silin Chen, Weiche Hsieh, Lawrence KQ Yan, Chia Xin Liang, Han Xu, Hong-Ming Tseng, Xinyuan Song, Ming Liu:
Deep Learning and Machine Learning - Natural Language Processing: From Theory to Application. CoRR abs/2411.05026 (2024) - [i5]Weiche Hsieh, Ziqian Bi, Chuanqi Jiang, Junyu Liu, Benji Peng, Sen Zhang, Xuanhe Pan, Jiawei Xu, Jinlang Wang, Keyu Chen, Pohsun Feng, Yizhu Wen, Xinyuan Song, Tianyang Wang, Ming Liu, Junjie Yang, Ming Li, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Yichao Zhang, Lawrence KQ Yan, Qian Niu, Silin Chen, Yunze Wang, Chia Xin Liang:
A Comprehensive Guide to Explainable AI: From Classical Models to LLMs. CoRR abs/2412.00800 (2024) - [i4]Weiche Hsieh, Ziqian Bi, Keyu Chen, Benji Peng, Sen Zhang, Jiawei Xu, Jinlang Wang, Caitlyn Heqi Yin, Yichao Zhang, Pohsun Feng, Yizhu Wen, Tianyang Wang, Ming Li, Chia Xin Liang, Jintao Ren, Qian Niu, Silin Chen, Lawrence KQ Yan, Han Xu, Hong-Ming Tseng, Xinyuan Song, Bowen Jing, Junjie Yang, Junhao Song, Junyu Liu, Ming Liu:
Deep Learning, Machine Learning, Advancing Big Data Analytics and Management. CoRR abs/2412.02187 (2024) - [i3]Tianyang Wang, Ziqian Bi, Yichao Zhang, Ming Liu, Weiche Hsieh, Pohsun Feng, Lawrence KQ Yan, Yizhu Wen, Benji Peng, Junyu Liu, Keyu Chen, Sen Zhang, Ming Li, Chuanqi Jiang, Xinyuan Song, Junjie Yang, Bowen Jing, Jintao Ren, Junhao Song, Hong-Ming Tseng, Silin Chen, Yunze Wang, Chia Xin Liang, Jiawei Xu, Xuanhe Pan, Jinlang Wang, Qian Niu:
Deep Learning Model Security: Threats and Defenses. CoRR abs/2412.08969 (2024) - [i2]Tianyang Wang, Ming Liu, Benji Peng, Xinyuan Song, Charles Zhang, Xintian Sun, Qian Niu, Junyu Liu, Silin Chen, Keyu Chen, Ming Li, Pohsun Feng, Ziqian Bi, Yunze Wang, Yichao Zhang, Cheng Fei, Lawrence KQ Yan:
From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. CoRR abs/2412.09378 (2024) - [i1]Benji Peng, Chia Xin Liang, Ziqian Bi, Ming Liu, Yichao Zhang, Tianyang Wang, Keyu Chen, Xinyuan Song, Pohsun Feng:
From Noise to Nuance: Advances in Deep Generative Image Models. CoRR abs/2412.09656 (2024) - 2023
- [j42]Kai Kang, Xin Yuan Song:
Joint Modeling of Longitudinal Imaging and Survival Data. J. Comput. Graph. Stat. 32(2): 402-412 (2023) - [j41]Jiaming Zhang, Yiqi Lin, Xinyuan Song, Hanwen Ning:
Generative adversarial mediation network: A novel generative learning approach to causal mediation analysis. Knowl. Based Syst. 282: 111117 (2023) - [j40]Wenzhi Xi, Zhanfeng Li, Xinyuan Song, Hanwen Ning:
Online portfolio selection with predictive instantaneous risk assessment. Pattern Recognit. 144: 109872 (2023) - [j39]Xiaoxiao Zhou, Xinyuan Song:
Functional concurrent hidden Markov model. Stat. Comput. 33(3): 57 (2023) - 2022
- [j38]Qi Yang, Haijin He, Bin Lu, Xinyuan Song:
Mixture additive hazards cure model with latent variables: Application to corporate default data. Comput. Stat. Data Anal. 167: 107365 (2022) - [j37]Hefei Liu, Xinyuan Song, Baoxue Zhang:
Varying-coefficient hidden Markov models with zero-effect regions. Comput. Stat. Data Anal. 173: 107482 (2022) - [j36]Qingwu Fan, Shuo Li, Changsheng Qiu, Xinyuan Song, Wenyang Jie:
Ultrashort-Term Heat Load Prediction for Heat Exchange Stations Based on Dual-Source Data Feature Fusion. IEEE Internet Things J. 9(18): 16824-16834 (2022) - [j35]Kai Kang, Xinyuan Song:
Consistent estimation of a joint model for multivariate longitudinal and survival data with latent variables. J. Multivar. Anal. 187: 104827 (2022) - [j34]Yiqi Lin, Xinyuan Song:
Order selection for regression-based hidden Markov model. J. Multivar. Anal. 192: 105061 (2022) - 2021
- [j33]Ting Li, Xinyuan Song, Yingying Zhang, Hongtu Zhu, Zhongyi Zhu:
Clusterwise functional linear regression models. Comput. Stat. Data Anal. 158: 107192 (2021) - [j32]Jiaming Zhang, Zhanfeng Li, Xinyuan Song, Hanwen Ning:
Deep Tobit networks: A novel machine learning approach to microeconometrics. Neural Networks 144: 279-296 (2021) - 2020
- [j31]Ming Ouyang, Xin-Yuan Song:
Bayesian Local Influence of Generalized Failure Time Models with Latent Variables and Multivariate Censored Data. J. Classif. 37(2): 298-316 (2020) - [j30]Yuzhu Tian, Xinyuan Song:
Bayesian bridge-randomized penalized quantile regression. Comput. Stat. Data Anal. 144: 106876 (2020) - [j29]Xiaoqing Wang, Xiangnan Feng, Xinyuan Song:
Joint analysis of semicontinuous data with latent variables. Comput. Stat. Data Anal. 151: 107005 (2020) - [j28]Jie Zhou, Xinyuan Song, Liuquan Sun:
Continuous time hidden Markov model for longitudinal data. J. Multivar. Anal. 179: 104646 (2020)
2010 – 2019
- 2019
- [j27]Mao Ye, Zhao-Hua Lu, Yimei Li, Xinyuan Song:
Finite mixture of varying coefficient model: Estimation and component selection. J. Multivar. Anal. 171: 452-474 (2019) - 2018
- [j26]Guochang Wang, Xinyuan Song:
Functional Sufficient Dimension Reduction for Functional Data Classification. J. Classif. 35(2): 250-272 (2018) - [j25]Jianbo Li, Heng Lian, Xuejun Jiang, Xinyuan Song:
Estimation and testing for time-varying quantile single-index models with longitudinal data. Comput. Stat. Data Anal. 118: 66-83 (2018) - [j24]Lianqiang Qu, Xinyuan Song, Liuquan Sun:
Identification of local sparsity and variable selection for varying coefficient additive hazards models. Comput. Stat. Data Anal. 125: 119-135 (2018) - 2017
- [j23]Weihua Zhao, Heng Lian, Xinyuan Song:
Composite quantile regression for correlated data. Comput. Stat. Data Anal. 109: 15-33 (2017) - [j22]Ming Ouyang, Xiaodong Yan, Ji Chen, Nian-Sheng Tang, Xin-Yuan Song:
Bayesian local influence of semiparametric structural equation models. Comput. Stat. Data Anal. 111: 102-115 (2017) - [j21]Haijin He, Deng Pan, Liuquan Sun, Yimei Li, Leslie L. Robison, Xinyuan Song:
Analysis of a fixed center effect additive rates model for recurrent event data. Comput. Stat. Data Anal. 112: 186-197 (2017) - [j20]Xiang-Nan Feng, Yifan Wang, Bin Lu, Xin-Yuan Song:
Bayesian regularized quantile structural equation models. J. Multivar. Anal. 154: 234-248 (2017) - 2014
- [j19]Xianping Guo, XinYuan Song, Yi Zhang:
First Passage Optimality for Continuous-Time Markov Decision Processes With Varying Discount Factors and History-Dependent Policies. IEEE Trans. Autom. Control. 59(1): 163-174 (2014) - 2013
- [j18]Ji Chen, Pengfei Liu, Xin-Yuan Song:
Bayesian diagnostics of transformation structural equation models. Comput. Stat. Data Anal. 68: 111-128 (2013) - [j17]Xin-Yuan Song, Fei Chen, Zhaohua Lu:
A Bayesian semiparametric dynamic two-level structural equation model for analyzing non-normal longitudinal data. J. Multivar. Anal. 121: 87-108 (2013) - [j16]Yanlin Tang, Xinyuan Song, Huixia Judy Wang, Zhongyi Zhu:
Variable selection in high-dimensional quantile varying coefficient models. J. Multivar. Anal. 122: 115-132 (2013) - 2012
- [j15]Xin-Yuan Song, Nian-Sheng Tang, Sy-Miin Chow:
A Bayesian approach for generalized random coefficient structural equation models for longitudinal data with adjacent time effects. Comput. Stat. Data Anal. 56(12): 4190-4203 (2012) - [j14]Yun-Xian Li, Yutaka Kano, Jun-Hao Pan, Xin-Yuan Song:
A criterion-based model comparison statistic for structural equation models with heterogeneous data. J. Multivar. Anal. 112: 92-107 (2012) - [j13]Xin-Yuan Song, Zhaohua Lu:
Semiparametric transformation models with Bayesian P-splines. Stat. Comput. 22(5): 1085-1098 (2012) - [j12]Xianping Guo, Yonghui Huang, XinYuan Song:
Linear Programming and Constrained Average Optimality for General Continuous-Time Markov Decision Processes in History-Dependent Policies. SIAM J. Control. Optim. 50(1): 23-47 (2012) - 2011
- [j11]Xin-Yuan Song, Zhaohua Lu:
Response to "Comments on 'Bayesian variable selection for disease classification using gene expression data'". Bioinform. 27(15): 2169-2170 (2011) - [j10]Jing-Heng Cai, Xin-Yuan Song, Kwok-Hap Lam, Edward Hak-Sing Ip:
A mixture of generalized latent variable models for mixed mode and heterogeneous data. Comput. Stat. Data Anal. 55(11): 2889-2907 (2011) - [j9]Yonghui Huang, Xianping Guo, XinYuan Song:
Performance Analysis for Controlled Semi-Markov Systems with Application to Maintenance. J. Optim. Theory Appl. 150(2): 395-415 (2011) - 2010
- [j8]Ai-Jun Yang, Xin-Yuan Song:
Bayesian variable selection for disease classification using gene expression data. Bioinform. 26(2): 215-222 (2010)
2000 – 2009
- 2009
- [j7]Xianping Guo, XinYuan Song, Junyu Zhang:
Bias optimality for multichain continuous-time Markov decision processes. Oper. Res. Lett. 37(5): 317-321 (2009) - [j6]Xianping Guo, XinYuan Song:
Mean-Variance Criteria for Finite Continuous-Time Markov Decision Processes. IEEE Trans. Autom. Control. 54(9): 2151-2157 (2009) - 2008
- [j5]Sik-Yum Lee, Xin-Yuan Song:
On Bayesian estimation and model comparison of an integrated structural equation model. Comput. Stat. Data Anal. 52(10): 4814-4827 (2008) - 2006
- [j4]Sik-Yum Lee, Bin Lu, Xin-Yuan Song:
Assessing local influence for nonlinear structural equation models with ignorable missing data. Comput. Stat. Data Anal. 50(5): 1356-1377 (2006) - 2004
- [j3]Xin-Yuan Song, Sik-Yum Lee:
Local Influence Analysis for Mixture of Structural Equation Models. J. Classif. 21(1): 111-137 (2004) - 2003
- [j2]Sik-Yum Lee, Xin-Yuan Song:
Maximum Likelihood Estimation and Model Comparison for Mixtures of Structural Equation Models with Ignorable Missing Data. J. Classif. 20(2): 221-255 (2003) - [j1]Sik-Yum Lee, Xin-Yuan Song:
Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables. Comput. Stat. Data Anal. 44(1-2): 125-142 (2003)
Coauthor Index
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last updated on 2025-01-21 21:17 CET by the dblp team
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