Jie Zhang

Orcid: 0000-0001-7187-3528

Affiliations:

Liaoning Normal University, School of Mathematics, Dalian, China (since 2015)
Dalian University of Technology, China (PhD 2015)

According to our database¹, Jie Zhang authored at least 25 papers between 2013 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

PointNorm-Net: Self-Supervised Normal Prediction of 3D Point Clouds via Multi-Modal Distribution Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

2023

Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2023

2022

Geometry Guided Deep Surface Normal Estimation.

[BibT_eX]

[DOI]

Comput. Aided Des., 2022

2021

Feature interpolation convolution for point cloud analysis.

[BibT_eX]

[DOI]

Comput. Graph., 2021

2020

Point Cloud Normal Estimation by Fast Guided Least Squares Representation.

[BibT_eX]

[DOI]

IEEE Access, 2020

Visual Tracking Jointly With Online and Offline Learning.

[BibT_eX]

[DOI]

IEEE Access, 2020

Deep Classification Consistency for Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Multi-Normal Estimation via Pair Consistency Voting.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2019

Subspace segmentation with a large number of subspaces using infinity norm minimization.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Bayesian rank penalization.

[BibT_eX]

[DOI]

Neural Networks, 2019

Robust subspace learning-based low-rank representation for manifold clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Superpixels for large dataset subspace clustering.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

2018

Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

3D shape segmentation using multiple random walkers.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2018

Normal estimation via shifted neighborhood for point cloud.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2018

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation.

[BibT_eX]

[DOI]

Complex., 2018

2017

Fabric defect inspection using prior knowledge guided least squares regression.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2017

2016

Bayesian Low-Rank and Sparse Nonlinear Representation for Manifold Clustering.

[BibT_eX]

[DOI]

Neural Process. Lett., 2016

Subspace segmentation by dense block and sparse representation.

[BibT_eX]

[DOI]

Neural Networks, 2016

Consistent Sparse Representation for Video-Based Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Low-rank 3D mesh segmentation and labeling with structure guiding.

[BibT_eX]

[DOI]

Comput. Graph., 2015

Quality point cloud normal estimation by guided least squares representation.

[BibT_eX]

[DOI]

Comput. Graph., 2015

A Smooth Approximation Algorithm of Rank-Regularized Optimization Problem and Its Applications.

[BibT_eX]

[DOI]

Proceedings of the Image and Graphics - 8th International Conference, 2015

2014

Structure-Constrained Low-Rank Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

2013

Point cloud normal estimation via low-rank subspace clustering.

[BibT_eX]

[DOI]

Comput. Graph., 2013

Jie Zhang

Timeline

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