Sieve least squares estimator for partial linear models with current status data. - Songlin Wang; Sanguo Zhang; Hongqi Xue (J. Syst. Sci. Complex., 2011)

Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis. - Jun Liu 014; Nan Chang; Sanguo Zhang; Zhenming Lei (Int. J. Commun. Syst., 2015)

Group-combined P-values with applications to genetic association studies. - Xiaonan Hu; Wei Zhang; Sanguo Zhang; Shuangge Ma; Qizhai Li (Bioinform., 2016)

Jackknife empirical likelihood test for high-dimensional regression coefficients. - Yangguang Zang; Sanguo Zhang; Qizhai Li; Qingzhao Zhang (Comput. Stat. Data Anal., 2016)

Detecting Difference Between Coefficients in Linear Model Using Jackknife Empirical Likelihood. - Xinqi Wu; Qingzhao Zhang; Sanguo Zhang (J. Syst. Sci. Complex., 2016)

A model-embedded trend test with incorporating Hardy-Weinberg equilibrium information. - Xiaonan Hu; Xiaogang Duan; Dong-Dong Pan; Sanguo Zhang; Qizhai Li (J. Syst. Sci. Complex., 2017)

Adaptively weighted large-margin angle-based classifiers. - Sheng Fu; Sanguo Zhang; Yufeng Liu (J. Multivar. Anal., 2018)

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis. - Mingyang Ren; Sanguo Zhang; Qingzhao Zhang; Shuangge Ma (Bioinform., 2021)

Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models. - Yan Liu; Mingyang Ren; Sanguo Zhang (J. Syst. Sci. Complex., 2021)

Local offset point cloud transformer based implicit surface reconstruction. - Yanxin Yang; Sanguo Zhang (Comput. Graph. Forum, 2022)

Conditional Density Estimations from Privacy-Protected Data. - Yifei Xiong; Nianqiao P. Ju; Sanguo Zhang (CoRR, 2023)

An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation. - Yifei Xiong; Xiliang Yang; Sanguo Zhang; Zhijian He (CoRR, 2023)

A Web Semantic-Based Text Analysis Approach for Enhancing Named Entity Recognition Using PU-Learning and Negative Sampling. - Shunqin Zhang; Sanguo Zhang; Wenduo He; Xuan Zhang 006 (Int. J. Semantic Web Inf. Syst., 2023)

Hierarchy-assisted gene expression regulatory network analysis. - Han Yan; Sanguo Zhang; Shuangge Ma (Stat. Anal. Data Min., 2023)

Aligned deep neural network for integrative analysis with high-dimensional input. - Shunqin Zhang; Sanguo Zhang; Huangdi Yi; Shuangge Ma (J. Biomed. Informatics, 2023)

Equivariant Analysis of Point Clouds by Message Passing on Simplicial Complexes. - Chang Yu 003; Sanguo Zhang; Li-Yong Shen (ICIGP, 2024)

Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering. - Xinkai Sun; Sanguo Zhang; Shuangge Ma (Entropy, 2024)

Matrix regression heterogeneity analysis. - Fengchuan Zhang; Sanguo Zhang; Shi-Ming Li; Mingyang Ren (Stat. Comput., 2024)

GETr: A Geometric Equivariant Transformer for Point Cloud Registration. - Chang Yu 003; Sanguo Zhang; Li-Yong Shen (Comput. Graph. Forum, 2024)

Clustering on hierarchical heterogeneous data with prior pairwise relationships. - Wei Han; Sanguo Zhang; Hailong Gao; Deliang Bu (BMC Bioinform., 2024)

Conditional Generative Learning from Invariant Representations in Multi-Source: Robustness and Efficiency. - Guojun Zhu; Sanguo Zhang; Mingyang Ren (AISTATS, 2025)

Multi Actors-Critic based particle swarm optimization algorithm. - Hui Chen; Li-Yong Shen; Chunmei Wang; Lei Tian; Sanguo Zhang (Neurocomputing, 2025)

Subclass consistency regularization for learning with noisy labels based on contrastive learning. - Xinkai Sun; Sanguo Zhang (Neurocomputing, 2025)

Simulation-based Bayesian Inference from Privacy Protected Data. - Yifei Xiong; Nianqiao P. Ju; Sanguo Zhang (Trans. Mach. Learn. Res., 2025)