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Biography

Lei Gao is currently with the Department of Electrical, Computer and Biomedical Engineering, Toronto Metropolitan University. His research interests include multimodal machine learning, interpretable artificial intelligence, computer vision, and multimedia computing. He is a recipient of the Best Paper of 2021 IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), the Best Student Paper of 2018 IEEE International Symposium on Multimedia (ISM), the Visiting Fellowship from Microsoft Research Asia (MSRA) in 2016, the Top 10% Papers Award of 2015 IEEE International Conference on Image Processing (ICIP). He is the associate editor of IECE Transactions on Multimedia Computing and is/was guest editor on some journals, such as ACM Transactions on Multimedia Computing, 
Communications , and Applications, Frontiers in Remote Sensing, etc.

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My Channel

My Channel

My Channel
Piloted Driving

Piloted Driving

01:08
Pedestrian Detection with Deep Learning

Pedestrian Detection with Deep Learning

01:10
Human-Computer Interface

Human-Computer Interface

00:27
Face Detection

Face Detection

00:30

Education

2018 - Present

Ryerson University

Post-Doctoral Fellow, Electrical & Computer Engineering

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2013 - 2017

Ryerson University

PhD of Electrical & Computer Engineering

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2008 - 2011

Zhengzhou University

Master of Communication and Information Engineering

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2003 - 2007

Zhengzhou University

Bachelor of Physical Engineering

News

Research Interests

AWARDS AND HONOURS

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  The Best Student Paper in 20th IEEE International Symposium on 

  Multimedia    

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  The Nominee for 2018 Young Investigator Prize

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  The Visiting Fellow at Microsoft Research Asia 

                     

   Top 10% Papers Award, IEEE Int. Conf. on Image Processing 2015

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   Ryerson International Student Scholarship                                                  

   The Access to Opportunity Program of Ryerson University                       

   The National Scholarship of China

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   The Excellent Graduate Research Award of Ryerson University

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Review
Features

Research Interests

Machine Learning

Big Data, Neural networks, Deep Learning, Discriminative Learning, Data Representation and Analysis

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Computer Vision

Object Recognition, Tracking, Object Detection, Action Recognition

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Pattern Recognition

Feature Extraction, Discriminant Representation

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Multi-modal Information Fusion

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Pubilication

• Lei Gao, Rui Zhang, Lin Qi, Enqing Chen, Ling Guan. "The Labeled Multiple Canonical Correlation Analysis for Information Fusion." IEEE Trans. on Multimedia, vol. 21, no. 2, pp. 375-387, 2019.

• Enqing Chen, Xue Bai, Lei Gao, Haron Chweya Tinega, and Yingqiang Ding. "A Spatiotemporal Heterogeneous Two-Stream Network for Action Recognition." IEEE Access, vol. 7, pp. 57267-57275, 2019.

• Lei Gao, Lin Qi, Enqing Chen, Ling Guan. "Discriminative Multiple Canonical Correlation Analysis for Information Fusion." IEEE Trans. on Image Processing, vol. 27, no. 4, pp. 1951-1965, 2018.

• Lei Gao, Lin Qi, Ling Guan, “A Novel Discriminative Model for Online Behavioral Analysis with Application to Emotion State Identification. ” IEEE Intelligent System, vol. 31, no. 4, pp:32-39. 

• Lei Gao, Lin Qi, Enqing Chen, Xiaomin Mu, Yongjin Wang and Ling Guan. “Rotation Invariance in the 2D-FRFT with Application to Digital Image watermarking”, Signal Processing System, Vol. 72, pp. 133-148, 2013.

• Lei Gao, Lin Qi, Ling Guan, Enqing Chen. “A Novel Discriminative Framework Integrating Kernel Entropy Component Analysis and Discriminative Multiple Canonical Correlation for Information Fusion. ” 2016 IEEE International Symposium on Multimedia (Accept, Oral Presentation)

• Lei Gao, Lin Qi, Ling Guan " Information Fusion based on Kernel Entropy Component Analysis in Discriminative Canonical Correlation Space with Application to Audio Emotion Recognition", 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2817-2821 , Shanghai, China. (Top conference in signal processing field)

•Lei Gao, Lin Qi, Ling Guan, "Information Fusion Based on Kernel Entropy Component Analysis in Canonical Correlation Space with Application to Audio-based Emotion Recognition ", 2015 IEEE International Symposium on Multimedia, pp. 32-36, Miami, USA.(Oral Presentation)

• Lei Gao, Lin Qi and Ling Guan, " Sparsity Preserving Multiple Canonical Correlation Analysis with Visual Emotion Recognition to Multi-feature Fusion", 2015 International Conference on Image Processing, Quebec City, Canada, pp. 1-5. (Top 10% award)

•Ling Guan, Lei Gao, Yun Tie and Lin Qi, "A graph representation approach for selecting the optimal projection in information fusion. 2015 IEEE China Summit and International Conference on Signal and Information Processing, Chengdu, China, pp. 413-417. (Invited Paper)

•Lei Gao, Lin Qi, Enqing Chen and Ling Guan, “A Complete Fisher Discriminate Framework based on Kernel Entropy Component Analysis for Feature Extraction and Recognition”, 2014 International Conference on Multimedia and Expo (ICME), Chengdu, China, pp. 1-6, 2014.(Oral Presentation)

• Lei Gao, Lin Qi, Ling Guan. “The Spatial Shift Operations on Image Reconstruction from 2D-FRFT Information with Application to SAR Moving Target Detection”, IEEE China Summit and International Conference on Signal and Information Processing, pp. 523-527, 2013. (Oral Presentation)

•Lei Gao, Lin Qi, Ling Guan. “Selecting Discriminative Features with Discriminative Multiple Canonical Correlation Analysis for Multi-Feature Information Fusion” IEEE International Conference of the Biometrics Special Interest Group, pp. 1-8, 2013.(Oral Presentation)

•Lei Gao, Lin Qi, Enqing Chen and Ling Guan., “Discriminative Multiple Canonical Correlation Analysis For Multi-Feature Information Fusion” IEEE International Symposium on Multimedia, pp.36-43, 2012.(Oral Presentation)

•Lei Gao, Lin Qi, Enqing Chen, Xiaomin Mu, Yongjin Wang and Ling Guan. “2DFRFT based rotation invariant digital image watermarking”, IEEE International Symposium on Multimedia pp. 286-289, 2012.(Oral Presentation)

Lei Gao, Lin Qi, Enqing Chen, Xiaomin Mu and Ling Guan. “Recognizing Human Emotional State Based on the Phase Information of the Two Dimensional Fractional Fourier Transform”, Springer, Lecture Notes in Computer Science, Vol. 6298, 2010, Pages 694-704.(Oral Presentation)

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