Lei Gao

Orcid: 0000-0001-5583-713X

Affiliations:
  • 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 53 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
A Discriminant Information Theoretic Learning Framework for Multi-modal Feature Representation.
ACM Trans. Intell. Syst. Technol., 2023

Interpretability of Machine Learning: Recent Advances and Future Prospects.
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

Towards Efficient Multi-view Representation Learning.
Proceedings of the IEEE International Symposium on Multimedia, 2023

2022
A Discriminative Vectorial Framework for Multi-Modal Feature Representation.
IEEE Trans. Multim., 2022

Interpretable Artificial Intelligence through Locality Guided Neural Networks.
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

A Discriminant Correntropy Analysis For Multi-Feature Fusion.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

A Non Local Multi-Fiber Network For Action Anticipation In Videos.
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

A discriminant kernel entropy-based framework for feature representation learning.
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

A Manifold Semantic Canonical Correlation Framework for Effective Feature Fusion.
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

2D-FRFT Based Frequency Shift-Invariant Digital Image Encryption.
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

Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition.
Sensors, 2020

Discriminative Robust Head-Pose and Gaze Estimation Using Kernel-DMCCA Features Fusion.
Int. J. Semantic Comput., 2020

A Vertex-Edge Graph Convolutional Network for Skeleton-Based Action Recognition.
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

A Deep Manifold Representation for Information Discovery.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
The Labeled Multiple Canonical Correlation Analysis for Information Fusion.
IEEE Trans. Multim., 2019

A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition.
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

Information Fusion via Deep Cross-Modal Factor Analysis.
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

A Discriminant Two-Dimensional Canonical Correlation Analysis.
Proceedings of the 2019 IEEE Canadian Conference of Electrical and Computer Engineering, 2019

2018
Discriminative Multiple Canonical Correlation Analysis for Information Fusion.
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

Deep Reinforcement Learning with Parameterized Action Space for Object Detection.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Discriminative Robust Gaze Estimation Using Kernel-DMCCA Fusion.
Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

Information Fusion VIA Optimized KECA with Application to Audio Emotion Recognition.
Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2018

2016
Online Behavioral Analysis with Application to Emotion State Identification.
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
Rotation Invariance in 2D-FRFT with Application to Digital Image Watermarking.
J. Signal Process. Syst., 2013

Shearlet-based deconvolution under the framework of Bayesian.
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
Generalized MMSD feature extraction using QR decomposition.
Proceedings of the 2012 Visual Communications and Image Processing, 2012

2D-FRFT Based Rotation Invariant Digital Image Watermarking.
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


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