Jie Zhou

Orcid: 0000-0001-5882-3649

Affiliations:
  • Shenzhen University, College of Computer Science and Software Engineering, China
  • Tongji University, Department of Computer Science and Technology, Shanghai, China (PhD 2011)


According to our database1, Jie Zhou authored at least 69 papers between 2009 and 2024.

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Bibliography

2024
Coarse-to-Fine Low-Light Image Enhancement With Light Restoration and Color Refinement.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Asymmetric Transfer Hashing With Adaptive Bipartite Graph Learning.
IEEE Trans. Cybern., January, 2024

GFDC: A granule fusion density-based clustering with evidential reasoning.
Int. J. Approx. Reason., January, 2024

Analysis of core attribute and approximate reduct based on the three-way decision.
Appl. Soft Comput., January, 2024

Robust Self-expression Learning with Adaptive Noise Perception.
Pattern Recognit., 2024

Multi-granularity Cross Transformer Network for person re-identification.
Pattern Recognit., 2024

Unsupervised fabric defect detection with high-frequency feature mapping.
Multim. Tools Appl., 2024

A joint learning framework for optimal feature extraction and multi-class SVM.
Inf. Sci., 2024

Weighted Subspace Fuzzy Clustering with Adaptive Projection.
Int. J. Intell. Syst., 2024

CodeEnhance: A Codebook-Driven Approach for Low-Light Image Enhancement.
CoRR, 2024

NPSVC++: Nonparallel Classifiers Encounter Representation Learning.
CoRR, 2024

2023
Possibilistic Neighborhood Graph: A New Concept of Similarity Graph Learning.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2023

Generalized multiview regression for feature extraction.
Inf. Sci., November, 2023

Three-way decision-based co-detection for outliers.
Int. J. Approx. Reason., September, 2023

Scatter matrix decomposition for jointly sparse learning.
Pattern Recognit., August, 2023

Rough sets-based tri-trade for partially labeled data.
Appl. Intell., July, 2023

Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network.
IEEE Trans. Cybern., June, 2023

Multiview Jointly Sparse Discriminant Common Subspace Learning.
Pattern Recognit., June, 2023

Low-Rank Linear Embedding for Robust Clustering.
IEEE Trans. Knowl. Data Eng., May, 2023

Precise Facial Landmark Detection by Reference Heatmap Transformer.
IEEE Trans. Image Process., 2023

SSC-l<sub>0</sub>: Sparse Subspace Clustering with the l<sub>0</sub> Inequality Constraint.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

2022
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks.
IEEE Trans. Neural Networks Learn. Syst., 2022

Generalized Embedding Regression: A Framework for Supervised Feature Extraction.
IEEE Trans. Neural Networks Learn. Syst., 2022

Discriminative Invariant Alignment for Unsupervised Domain Adaptation.
IEEE Trans. Multim., 2022

Robust Jointly Sparse Fuzzy Clustering With Neighborhood Structure Preservation.
IEEE Trans. Fuzzy Syst., 2022

Global structure-guided neighborhood preserving embedding for dimensionality reduction.
Int. J. Mach. Learn. Cybern., 2022

Three-way decision-based tri-training with entropy minimization.
Inf. Sci., 2022

Deep asymmetric hashing with dual semantic regression and class structure quantization.
Inf. Sci., 2022

Geometrical structure preservation joint with self-expression maintenance for adaptive graph learning.
Neurocomputing, 2022

Parameterized maximum-entropy-based three-way approximate attribute reduction.
Int. J. Approx. Reason., 2022

Three-way approximate reduct based on information-theoretic measure.
Int. J. Approx. Reason., 2022

Asymmetric Transfer Hashing with Adaptive Bipartite Graph Learning.
CoRR, 2022

Weighted fuzzy rough sets-based tri-training and its application to medical diagnosis.
Appl. Soft Comput., 2022

Accelerated multi-granularity reduction based on neighborhood rough sets.
Appl. Intell., 2022

Rough-Fuzzy Clustering Based on Adaptive Weighted Values and Three-Way Decisions.
Proceedings of the Rough Sets - International Joint Conference, 2022

2021
Robust Face Alignment by Multi-Order High-Precision Hourglass Network.
IEEE Trans. Image Process., 2021

Weighted Double-Low-Rank Decomposition With Application to Fabric Defect Detection.
IEEE Trans Autom. Sci. Eng., 2021

Projected fuzzy C-means clustering with locality preservation.
Pattern Recognit., 2021

Low-rank adaptive graph embedding for unsupervised feature extraction.
Pattern Recognit., 2021

Robust facial landmark detection by cross-order cross-semantic deep network.
Neural Networks, 2021

Target redirected regression with dynamic neighborhood structure.
Inf. Sci., 2021

Granular-conditional-entropy-based attribute reduction for partially labeled data with proxy labels.
Inf. Sci., 2021

Three-way decision with co-training for partially labeled data.
Inf. Sci., 2021

Principles for constructing three-way approximations of fuzzy sets: A comparative evaluation based on unsupervised learning.
Fuzzy Sets Syst., 2021

Local Learning Joint with the Adaptive Graph for Subspace Representation.
Proceedings of the 16th International Conference on Intelligent Systems and Knowledge Engineering, 2021

Low-Rank Correlation Analysis for Discriminative Subspace Learning.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Fast Deep Asymmetric Hashing for Image Retrieval.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Shadowed Neighborhoods Based on Fuzzy Rough Transformation for Three-Way Classification.
IEEE Trans. Fuzzy Syst., 2020

Multigranulation rough-fuzzy clustering based on shadowed sets.
Inf. Sci., 2020

Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks.
CoRR, 2020

Label Self-Adaption Hashing for Image Retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Clustering Ensemble Selection with Analytic Hierarchy Process.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Constrained three-way approximations of fuzzy sets: From the perspective of minimal distance.
Inf. Sci., 2019

Constrained shadowed sets and fast optimization algorithm.
Int. J. Intell. Syst., 2019

Granular maximum decision entropy-based monotonic uncertainty measure for attribute reduction.
Int. J. Approx. Reason., 2019

Clustering Ensemble Selection with Determinantal Point Processes.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018
Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets.
Knowl. Based Syst., 2018

Maximum decision entropy-based attribute reduction in decision-theoretic rough set model.
Knowl. Based Syst., 2018

Rough-Fuzzy Clustering Based on Two-Stage Three-Way Approximations.
IEEE Access, 2018

2017
Efficient Neighborhood Covering Reduction with Submodular Function Optimization.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2012
Bayesian rough set model: A further investigation.
Int. J. Approx. Reason., 2012

2011
Analysis of alternative objective functions for attribute reduction in complete decision tables.
Soft Comput., 2011

β-Interval attribute reduction in variable precision rough set model.
Soft Comput., 2011

Shadowed sets in the characterization of rough-fuzzy clustering.
Pattern Recognit., 2011

2010
A novel measure of knowledge granularity in rough sets.
Int. J. Granul. Comput. Rough Sets Intell. Syst., 2010

Two novel feature selection methods based on decomposition and composition.
Expert Syst. Appl., 2010

2009
Research of reduct features in the variable precision rough set model.
Neurocomputing, 2009

Research on Complete Algorithms for Minimal Attribute Reduction.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Maximum condition entropy based attribute reduction in variable precision rough set model.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009


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