Sanguo Zhang

According to our database, Sanguo Zhang authored at least 21 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Subclass consistency regularization for learning with noisy labels based on contrastive learning.

Xinkai Sun, Sanguo Zhang

Neurocomputing, 2025

2024

Clustering on hierarchical heterogeneous data with prior pairwise relationships.

Wei Han, Sanguo Zhang, Hailong Gao, Deliang Bu

BMC Bioinform., December, 2024

GETr: A Geometric Equivariant Transformer for Point Cloud Registration.

Chang Yu, Sanguo Zhang, Li-Yong Shen

Comput. Graph. Forum, October, 2024

Matrix regression heterogeneity analysis.

Fengchuan Zhang, Sanguo Zhang, Shi-Ming Li, Mingyang Ren

Stat. Comput., June, 2024

Prediction Consistency Regularization for Learning with Noise Labels Based on Contrastive Clustering.

Xinkai Sun, Sanguo Zhang, Shuangge Ma

Entropy, April, 2024

Equivariant Analysis of Point Clouds by Message Passing on Simplicial Complexes.

Chang Yu, Sanguo Zhang, Li-Yong Shen

Proceedings of the 7th International Conference on Image and Graphics Processing, 2024

2023

Aligned deep neural network for integrative analysis with high-dimensional input.

Shunqin Zhang, Sanguo Zhang, Huangdi Yi, Shuangge Ma

J. Biomed. Informatics, August, 2023

Hierarchy-assisted gene expression regulatory network analysis.

Han Yan, Sanguo Zhang, Shuangge Ma

Stat. Anal. Data Min., June, 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

Int. J. Semantic Web Inf. Syst., 2023

An efficient likelihood-free Bayesian inference method based on sequential neural posterior estimation.

Yifei Xiong, Xiliang Yang, Sanguo Zhang, Zhijian He

CoRR, 2023

Conditional Density Estimations from Privacy-Protected Data.

Yifei Xiong, Nianqiao P. Ju, Sanguo Zhang

CoRR, 2023

2022

Local offset point cloud transformer based implicit surface reconstruction.

Yanxin Yang, Sanguo Zhang

Comput. Graph. Forum, October, 2022

2021

Empirical Likelihood Test for Regression Coefficients in High Dimensional Partially Linear Models.

Yan Liu, Mingyang Ren, Sanguo Zhang

J. Syst. Sci. Complex., 2021

HeteroGGM: an R package for Gaussian graphical model-based heterogeneity analysis.

Mingyang Ren, Sanguo Zhang, Qingzhao Zhang, Shuangge Ma

Bioinform., 2021

2018

Adaptively weighted large-margin angle-based classifiers.

Sheng Fu, Sanguo Zhang, Yufeng Liu

J. Multivar. Anal., 2018

2017

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

2016

Detecting Difference Between Coefficients in Linear Model Using Jackknife Empirical Likelihood.

Xinqi Wu, Qingzhao Zhang, Sanguo Zhang

J. Syst. Sci. Complex., 2016

Jackknife empirical likelihood test for high-dimensional regression coefficients.

Yangguang Zang, Sanguo Zhang, Qizhai Li, Qingzhao Zhang

Comput. Stat. Data Anal., 2016

Group-combined <i>P</i>-values with applications to genetic association studies.

Xiaonan Hu, Wei Zhang, Sanguo Zhang, Shuangge Ma, Qizhai Li

Bioinform., 2016

2015

Recognizing and characterizing dynamics of cellular devices in cellular data network through massive data analysis.

Jun Liu, Nan Chang, Sanguo Zhang, Zhenming Lei

Int. J. Commun. Syst., 2015

2011

Sieve least squares estimator for partial linear models with current status data.

Songlin Wang, Sanguo Zhang, Hongqi Xue

J. Syst. Sci. Complex., 2011