Ming Yang

Orcid: 0000-0001-8936-4270

Affiliations:
  • Nanjing Normal University, School of Computer Science and Technology, Nanjing, China
  • Southeast University, Department of Computer Science and Engineering, Nanjing, China (PhD 2004)


According to our database1, Ming Yang authored at least 69 papers between 2007 and 2024.

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

Timeline

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Bibliography

2024
Iterative Multiview Subspace Learning for Unpaired Multiview Clustering.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Deep self-enhancement hashing for robust multi-label cross-modal retrieval.
Pattern Recognit., March, 2024

Deep Ranking Distribution Preserving Hashing for Robust Multi-Label Cross-Modal Retrieval.
IEEE Trans. Multim., 2024

Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification.
CoRR, 2024

Multi-level Reliable Guidance for Unpaired Multi-view Clustering.
CoRR, 2024

Unpaired Multi-view Clustering via Reliable View Guidance.
CoRR, 2024

Semi-Parametric Style Transfer with Multi-Perspective Feature Fusion and Information-Guided Alignment.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

Cross-Modal Attention Alignment Network with Auxiliary Text Description for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

2023
Deep continual hashing for real-world multi-label image retrieval.
Comput. Vis. Image Underst., September, 2023

Deep continual hashing with gradient-aware memory for cross-modal retrieval.
Pattern Recognit., May, 2023

Robust Low Rank and Sparse Representation for Multiple Kernel Dimensionality Reduction.
IEEE Trans. Circuits Syst. Video Technol., 2023

Towards deeper match for multi-view oriented multiple kernel learning.
Pattern Recognit., 2023

Robust fused hypergraph neural networks for multi-label classification.
J. Intell. Fuzzy Syst., 2023

SDRNet: Shape Decoupled Regression Network for 3d face Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2023

Aggregate Distillation for Top-K Recommender System.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

Cross Attention with Deep Local Features for Few-Shot Image Classification.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dual-scale correlation analysis for robust multi-label classification.
Appl. Intell., 2022

Few-Shot Unsupervised Domain Adaptation via Meta Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Relation-Guided Network for Image-Text Retrieval.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Exploring Occlusion-Sensitive Deep Network for Single-View 3D Face Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

A Lightweight Network with Multi-Stage Feature Fusion Module for Single-View 3d Face Reconstruction.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.
IEEE Trans. Medical Imaging, 2021

Deep robust multilevel semantic hashing for multi-label cross-modal retrieval.
Pattern Recognit., 2021

Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images.
IEEE J. Biomed. Health Informatics, 2020

A novel spectral-spatial based adaptive minimum spanning forest for hyperspectral image classification.
GeoInformatica, 2020

Class Distribution Alignment for Adversarial Domain Adaptation.
CoRR, 2020

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Calibrated Multi-label Classification with Label Correlations.
Neural Process. Lett., 2019

Correction to: An end-to-end differential network learning method for semantic segmentation.
Int. J. Mach. Learn. Cybern., 2019

An end-to-end differential network learning method for semantic segmentation.
Int. J. Mach. Learn. Cybern., 2019

Joint multi-label classification and label correlations with missing labels and feature selection.
Knowl. Based Syst., 2019

Spatial-aware hyperspectral image classification via multifeature kernel dictionary learning.
Int. J. Data Sci. Anal., 2019

Sparse and low-rank representation for multi-label classification.
Appl. Intell., 2019

Multi-Constraints-Based Enhanced Class-Specific Dictionary Learning for Image Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Multi-view Locality Preserving Embedding with View Consistent Constraint for Dimension Reduction.
Proceedings of the Knowledge Science, Engineering and Management, 2019

2018
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Image filtering method using trimmed statistics and edge preserving.
IET Image Process., 2018

Online multi-view subspace learning via group structure analysis for visual object tracking.
Distributed Parallel Databases, 2018

An improved hybrid collaborative filtering algorithm based on tags and time factor.
Big Data Min. Anal., 2018

Feature Integration with Adaptive Importance Maps for Visual Tracking.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Deep Cross-View Label Embedding with Correlation and Structure Preserved for Multi-Label Classification.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

Attributes Consistent Faces Generation Under Arbitrary Poses.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Cost Sensitive Semi-Supervised Canonical Correlation Analysis for Multi-view Dimensionality Reduction.
Neural Process. Lett., 2017

Cost Sensitive Matrix Factorization for Face Recognition.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Infomax principle based pooling of deep convolutional activations for image retrieval.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016
An Improved Recommender Model by Joint Learning of Both Similarity and Latent Feature Space.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2015
Discriminative cost sensitive Laplacian score for face recognition.
Neurocomputing, 2015

2014
Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition.
IEEE Trans. Inf. Forensics Secur., 2014

Fast Local Histogram Specification.
IEEE Trans. Circuits Syst. Video Technol., 2014

Bilinear discriminative dictionary learning for face recognition.
Pattern Recognit., 2014

Local histogram specification for face recognition under varying lighting conditions.
Image Vis. Comput., 2014

mPadal: a joint local-and-global multi-view feature selection method for activity recognition.
Appl. Intell., 2014

Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

2012
Local histogram specification using learned histograms for face recognition.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
A novel approach to improving C-Tree for feature selection.
Appl. Soft Comput., 2011

2010
A novel hypothesis-margin based approach for feature selection with side pairwise constraints.
Neurocomputing, 2010

Semi-random subspace sampling for classification.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Semi_Fisher Score: A semi-supervised method for feature selection.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2009
A Novel Hypothesis-Margin Based Method Incorporating Minimal-Redundancy Criterion for Feature Selection.
Proceedings of the Fifth International Conference on Natural Computation, 2009

A Novel Algorithm Based on Conditional Entropy Established by Clustering for Feature Selection.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

FCM_FS: A Simultaneous Clustering and Feature Selection Model for Classification.
Proceedings of the CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31, 2009

MIC_FS : A novel model for feature selection by mutual information guided by clustering.
Proceedings of the 8th IEEE International Conference on Cognitive Informatics, 2009

2008
A Novel Feature Selection Algorithm Based on Hypothesis-Margin.
J. Comput., 2008

A novel condensing tree structure for rough set feature selection.
Neurocomputing, 2008

2007
Updating of Attribute Reduction for the Case of Deleting.
Proceedings of the Fuzzy Information and Engineering, 2007


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