Niansheng Tang

45 papers A* 1B 1Journal 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning. CoRR Sheng Pan, Niansheng Tang
2026	J	`jnl`	Generalized linear mixed-effects joint model for longitudinal and bivariate survival data. Comput. Stat. Data Anal. Jiming Chen, Yangxin Huang, Niansheng Tang
2026	J	`jnl`	Model-free feature screening for ultrahigh dimensional data with responses missing not at random. J. Multivar. Anal. Yuliang Bai, Niansheng Tang
2026	J	`jnl`	Quasi-Bayesian Estimation and Comparison for Clustered Samples with Missing Values. J. Syst. Sci. Complex. Gen Ye, Puying Zhao, Niansheng Tang
2026	J	`jnl`	Variational masking generative model for anomaly detection on incomplete tabular data. Pattern Recognit. Yannan Pu, Xiang Gu, Niansheng Tang, Jingyao Zhang, Jian Sun
2025	B	`conf`	A Trustworthy and Traceable Identity Authentication Framework Leveraging Zero-Knowledge Proofs. IEEE Big Data Jianming Lin, Hui Li, Min Wang, Niansheng Tang, Wenhui Hu, Bing Lin, Runhuai Huang, Ximing Xu, Shengyao Wu, Ying Li
2025	J	`jnl`	Alzheimer's disease knowledge graph enhances knowledge discovery and disease prediction. Comput. Biol. Medicine Yue Yang, Kaixian Yu, Shan Gao, Sheng Yu, Di Xiong, Chuanyang Qin, Huiyuan Chen, Jiarui Tang, Niansheng Tang, Hongtu Zhu
2025	J	`jnl`	Complex Representation Matrix of Third-Order Quaternion Tensors with Application to Video Inpainting. J. Optim. Theory Appl. Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang
2025	J	`jnl`	Deep Learning for Variable Selection in Censored Quantile Regression Models. Stat. Anal. Data Min. Ziqiang Deng, Huiqiong Li, Niansheng Tang
2025	J	`jnl`	Federated Learning Based on Kernel Local Differential Privacy and Low Gradient Sampling. IEEE Access Yi Chen, Dan Chen, Niansheng Tang
2025	J	`jnl`	Limit Theorems for Continuous State Nonhomogeneous Markov Chain. J. Syst. Sci. Complex. Chengjun Ding, Weiguo Yang, Niansheng Tang
2025	J	`jnl`	Partially Functional Dynamic Backdoor Diffusion-based Causal Model. CoRR Xinwen Liu, Lei Qian, Song Xi Chen, Niansheng Tang
2025	J	`jnl`	Penalized Exponentially Tilted Likelihood for Growing Dimensional Models with Missing Data. Entropy Xiaoming Sha, Puying Zhao, Niansheng Tang
2025	J	`jnl`	Self-supervised distributional and contrastive learning model for image anomaly detection. Knowl. Based Syst. Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu
2025	J	`jnl`	Simultaneous Outlier Detection and Prediction for Kriging with True Identification. J. Comput. Graph. Stat. Youjie Zeng, Zhanfeng Wang, Youngjo Lee, Niansheng Tang
2025	A*	`conf`	Unraveling the Interplay between Carryover Effects and Reward Autocorrelations in Switchback Experiments. ICML Qianglin Wen, Chengchun Shi, Ying Yang, Niansheng Tang, Hongtu Zhu
2025	J	`jnl`	Variational Bayesian analysis for joint models of longitudinal and failure time data with interval censoring. Stat. Comput. Huiqiong Li, Lu Luo, Wenting Liu, Min Wang, Niansheng Tang
2024	J	`jnl`	Differentially Private Data Release for Mixed-type Data via Latent Factor Models. J. Mach. Learn. Res. Yanqing Zhang, Qi Xu, Niansheng Tang, Annie Qu
2024	J	`jnl`	Semiparametric Bayesian approach to assess non-inferiority with assay sensitivity in a three-arm trial with normally distributed endpoints. Comput. Stat. Niansheng Tang, Fan Liang, Depeng Jiang
2024	J	`jnl`	Tuning-free sparse clustering via alternating hard-thresholding. J. Multivar. Anal. Wei Dong, Chen Xu, Jinhan Xie, Niansheng Tang
2024	J	`jnl`	Variational Bayesian approach for analyzing interval-censored data under the proportional hazards model. Comput. Stat. Data Anal. Wenting Liu, Huiqiong Li, Niansheng Tang, Jun Lyu
2023	J	`jnl`	Deep expectation-maximization network for unsupervised image segmentation and clustering. Image Vis. Comput. Yannan Pu, Jian Sun, Niansheng Tang, Zongben Xu
2023	J	`jnl`	Robust low-rank tensor completion via new regularized model with approximate SVD. Inf. Sci. Fengsheng Wu, Chaoqian Li, Yaotang Li, Niansheng Tang
2022	J	`jnl`	Editorial: Bayesian Inference and AI. Frontiers Big Data Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang
2022	J	`jnl`	Generalized empirical likelihood for nonsmooth estimating equations with missing data. J. Multivar. Anal. Li-E Cui, Pu-Ying Zhao, Niansheng Tang
2022	J	`jnl`	Nonparametric empirical Bayesian method for noncontractual setting of customer-base analysis. Commun. Stat. Simul. Comput. Gen Ye, Songjian Wang, Niansheng Tang
2021	J	`jnl`	Dynamic Tensor Recommender Systems. J. Mach. Learn. Res. Yanqing Zhang, Xuan Bi, Niansheng Tang, Annie Qu
2020	J	`jnl`	A nonparametric feature screening method for ultrahigh-dimensional missing response. Comput. Stat. Data Anal. Xiaoxia Li, Niansheng Tang, Jinhan Xie, Xiaodong Yan
2020	J	`jnl`	Diagnosis of thyroid nodules for ultrasonographic characteristics indicative of malignancy using random forest. BioData Min. Dan Chen, Jun Hu, Mei Zhu, Niansheng Tang, Yang Yang, Yuran Feng
2020	J	`jnl`	Regression analysis of interval-censored failure time data with time-dependent covariates. Comput. Stat. Data Anal. Fengting Yi, Niansheng Tang, Jianguo Sun
2020	J	`jnl`	Sparse Multicategory Generalized Distance Weighted Discrimination in Ultra-High Dimensions. Entropy Tong Su, Yafei Wang, Yi Liu, William G. Branton, Eugene Asahchop, Christopher Power, Bei Jiang, Linglong Kong, Niansheng Tang
2020	J	`jnl`	The deep learning word vector model using part of speech and sentiment information. J. Intell. Fuzzy Syst. Dongping Wei, Niansheng Tang, Tianli lei, Shouwen Wen
2019	J	`jnl`	Bayesian adaptive Lasso for quantile regression models with nonignorably missing response data. Commun. Stat. Simul. Comput. Dengke Xu, Niansheng Tang
2019	J	`jnl`	Experimental analysis and evaluation of wide residual networks based agricultural disease identification in smart agriculture system. EURASIP J. Wirel. Commun. Netw. Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang
2019	J	`jnl`	Feature screening in ultrahigh-dimensional partially linear models with missing responses at random. Comput. Stat. Data Anal. Niansheng Tang, Linli Xia, Xiaodong Yan
2019	J	`jnl`	Joint measure matrix and channel estimation for millimeter-wave massive MIMO with hybrid precoding. EURASIP J. Wirel. Commun. Netw. Haoxu Yang, Lutao Gao, Niansheng Tang, Po Yang
2019	J	`jnl`	Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data. J. Multivar. Anal. Niansheng Tang, Wenjun Wang
2018	J	`jnl`	Adjusted Empirical Likelihood Estimation of Distribution Function and Quantile with Nonignorable Missing Data. J. Syst. Sci. Complex. Xianwen Ding, Niansheng Tang
2018	J	`jnl`	Assessing non-inferiority for incomplete paired-data under non-ignorable missing mechanism. Comput. Stat. Data Anal. Hui-Qiong Li, Guo-Liang Tian, Niansheng Tang, Hongyuan Cao
2018	J	`jnl`	Semiparametric Bayesian analysis of transformation linear mixed models. J. Multivar. Anal. Niansheng Tang, Ying Wu, Dan Chen
2016	J	`jnl`	Quantile regression of longitudinal data with informative observation times. J. Multivar. Anal. Xuerong Chen, Niansheng Tang, Yong Zhou
2015	J	`jnl`	Bayesian variable selection in multinomial probit model for classifying high-dimensional data. Comput. Stat. Aijun Yang, Yunxian Li, Niansheng Tang, Jinguan Lin
2011	J	`jnl`	Sample-size determination for two independent binomial experiments. J. Syst. Sci. Complex. Zhanping Zhao, Niansheng Tang, Yun-Xian Li
2010	J	`jnl`	FRATS: Functional Regression Analysis of DTI Tract Statistics. IEEE Trans. Medical Imaging Hongtu Zhu, Martin Styner, Niansheng Tang, Zhexing Liu, Weili Lin, John H. Gilmore
2007	J	`jnl`	A Statistical Analysis of Brain Morphology Using Wild Bootstrapping. IEEE Trans. Medical Imaging Hongtu Zhu, Joseph G. Ibrahim, Niansheng Tang, D. B. Rowe, Xuejun Hao, Ravi Bansal, Bradley S. Peterson