Hai Zhang

Orcid: 0000-0002-1104-8283

Affiliations:
  • Macau University of Science and Technology, Macau, SAR, China
  • Northwest University, Xi'an, China
  • Xi'an Jiaotong University, Faculty of Science, China


According to our database1, Hai Zhang authored at least 32 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Back-propagating errors through artificial neural networks for variable selection.
Int. J. Wavelets Multiresolution Inf. Process., March, 2024

On the efficacy of higher-order spectral clustering under weighted stochastic block models.
Comput. Stat. Data Anal., February, 2024

2023
UAMPnet: Unrolled approximate message passing network for nonconvex regularization.
Expert Syst. Appl., 2023

2022
Randomized Spectral Clustering in Large-Scale Stochastic Block Models.
J. Comput. Graph. Stat., July, 2022

Helmholtz machine with differential privacy.
Inf. Sci., 2022

2021
Enhancing performance of the back-propagation algorithm based on a novel regularization method of preserving inter-object-distance of data.
Int. J. Wavelets Multiresolution Inf. Process., 2021

Differentially private empirical risk minimization for AUC maximization.
Neurocomputing, 2021

Total Variation Constrained Non-Negative Matrix Factorization for Medical Image Registration.
IEEE CAA J. Autom. Sinica, 2021

Structured learning of time-varying networks with application to PM2.5 data.
Commun. Stat. Simul. Comput., 2021

Differentially Private SGD with Non-Smooth Loss.
CoRR, 2021

2020
Novel Regularization Method for Biomarker Selection and Cancer Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Differential privacy for sparse classification learning.
Neurocomputing, 2020

Randomized spectral co-clustering for large-scale directed networks.
CoRR, 2020

2019
Graph regularized Lp smooth non-negative matrix factorization for data representation.
IEEE CAA J. Autom. Sinica, 2019

Structure learning of sparse directed acyclic graphs incorporating the scale-free property.
Comput. Stat., 2019

Differentially Private Precision Matrix Estimation.
CoRR, 2019

Approximate Message Passing Algorithm for Nonconvex Regularization.
IEEE Access, 2019

Local Feature Descriptor for Image Matching: A Survey.
IEEE Access, 2019

Distributed Logistic Regression for Separated Massive Data.
Proceedings of the Big Data - 7th CCF Conference, 2019

2018
A Novel Data Clustering Method Based on Smooth Non-negative Matrix Factorization.
Proceedings of the Smart Multimedia - First International Conference, 2018

2017
Sparse Bayesian linear regression using generalized normal priors.
Int. J. Wavelets Multiresolution Inf. Process., 2017

2014
A novel L1/2 regularization shooting method for Cox's proportional hazards model.
Soft Comput., 2014

The L<sub>1/2</sub> regularization method for variable selection in the Cox model.
Appl. Soft Comput., 2014

2013
Sparse logistic regression with a L1/2 penalty for gene selection in cancer classification.
BMC Bioinform., 2013

2012
L<sub>1/2</sub> Regularization: A Thresholding Representation Theory and a Fast Solver.
IEEE Trans. Neural Networks Learn. Syst., 2012

Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels
CoRR, 2012

The essential ability of sparse reconstruction of different compressive sensing strategies.
Sci. China Inf. Sci., 2012

Regularization Path for Linear Model via Net Method.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Iterative L1/2 Regularization Algorithm for Variable Selection in the Cox Proportional Hazards Model.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

2011
Generalization Bounds of Regularization Algorithms Derived Simultaneously through Hypothesis Space Complexity, Algorithmic Stability and Data Quality.
Int. J. Wavelets Multiresolution Inf. Process., 2011

2010
<i>L</i><sub>1/2</sub> regularization.
Sci. China Inf. Sci., 2010

2009
Learning from uniformly ergodic Markov chains.
J. Complex., 2009


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