Lei Gao
Orcid: 0000-0001-5583-713XAffiliations:
- Toronto Metropolitan University, Electrical and Computer Engineering, Toronto, ON, Canada (PhD 2017)
- Zhengzhou University, School of Information Engineering, China (former)
According to our database1,
Lei Gao
authored at least 57 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
An Optimal Edge-weighted Graph Semantic Correlation Framework for Multi-view Feature Representation Learning.
ACM Trans. Multim. Comput. Commun. Appl., July, 2024
Enhancement of Neonatal Lung Pathology Classification Using Multi-view Feature Representation.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024
2023
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation.
ACM Trans. Intell. Syst. Technol., 2023
IEEE Multim., 2023
A Deep Discriminant Fractional-order Canonical Correlation Analysis For Information Fusion.
Proceedings of the 10th IEEE Swiss Conference on Data Science, 2023
Proceedings of the IEEE International Symposium on Multimedia, 2023
2022
IEEE Trans. Multim., 2022
Neural Networks, 2022
Interpretable Learning-Based Multi-Modal Hashing Analysis for Multi-View Feature Representation Learning.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022
2021
A Multi-Stream Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition.
IEEE Trans. Multim., 2021
The Property of Frequency Shift in 2D-FRFT Domain With Application to Image Encryption.
IEEE Signal Process. Lett., 2021
Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation.
Remote. Sens., 2021
J. Vis. Commun. Image Represent., 2021
Integrating vertex and edge features with Graph Convolutional Networks for skeleton-based action recognition.
Neurocomputing, 2021
ODMTCNet: An Interpretable Multi-view Deep Neural Network Architecture for Image Feature Representation.
CoRR, 2021
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021
A Novel Correntropy Analysis Method with Application to Multi-view Feature Representation.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021
A two-stream heterogeneous network for action recognition based on skeleton and RGB modalities.
Proceedings of the IEEE International Symposium on Multimedia, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
A Complete Discriminative Tensor Representation Learning for Two-Dimensional Correlation Analysis.
IEEE Signal Process. Lett., 2020
Sensors, 2020
Discriminative Robust Head-Pose and Gaze Estimation Using Kernel-DMCCA Features Fusion.
Int. J. Semantic Comput., 2020
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020
A Distinct Discriminant Canonical Correlation Analysis Network based Deep Information Quality Representation for Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020
2019
IEEE Trans. Multim., 2019
IEEE Access, 2019
Graph Convolutional Networks-Hidden Conditional Random Field Model for Skeleton-Based Action Recognition.
Proceedings of the IEEE International Symposium on Multimedia, 2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
Information Fusion via Multimodal Hashing With Discriminant Correlation Maximization.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019
2018
IEEE Trans. Image Process., 2018
Statistical Machine Learning vs Deep Learning in Information Fusion: Competition or Collaboration?
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018
2016
IEEE Intell. Syst., 2016
Posture Selection Based on Two-Layer AP with Application to Human Action Recognition Using HMM.
Proceedings of the IEEE International Symposium on Multimedia, 2016
A Novel Discriminative Framework Integrating Kernel Entropy Component Analysis and Discriminative Multiple Canonical Correlation for Information Fusion.
Proceedings of the IEEE International Symposium on Multimedia, 2016
Information fusion based on kernel entropy component analysis in discriminative canonical correlation space with application to audio emotion recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Information Fusion of Audio Emotion Recognition Based on Kernel Entropy Component Analysis in Canonical Correlation Space.
Proceedings of the 2015 IEEE International Symposium on Multimedia, 2015
Sparsity preserving multiple canonical correlation analysis with visual emotion recognition to multi-feature fusion.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
A graph representation approach for selecting the optimal projection in information fusion.
Proceedings of the IEEE China Summit and International Conference on Signal and Information Processing, 2015
2014
A fisher discriminant framework based on Kernel Entropy Component Analysis for feature extraction and emotion recognition.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014
2013
J. Signal Process. Syst., 2013
Proceedings of the IEEE International Conference on Information and Automation, 2013
The spatial shift operations on image reconstruction from 2D-FRFT information with application to SAR moving target detection.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013
Selecting Discriminative Features with Discriminative Multiple Canonical CorrelationAnalysis for Multi-Feature Information Fusion.
Proceedings of the 2013 BIOSIG, 2013
2012
Proceedings of the 2012 Visual Communications and Image Processing, 2012
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012
Discriminative Multiple Canonical Correlation Analysis for Multi-feature Information Fusion.
Proceedings of the 2012 IEEE International Symposium on Multimedia, 2012
2010
Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional Fourier Transform.
Proceedings of the Advances in Multimedia Information Processing - PCM 2010, 2010