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COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning

Jan 19, 2021
Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong

* 14 pages 

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A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning

Dec 25, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Alexander Wong


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Inter-layer Information Similarity Assessment of Deep Neural Networks Via Topological Similarity and Persistence Analysis of Data Neighbour Dynamics

Dec 07, 2020
Andrew Hryniowski, Alexander Wong

* 6 pages 

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FactorizeNet: Progressive Depth Factorization for Efficient Network Architecture Exploration Under Quantization Constraints

Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for Publication at the 2020 Workshop on Energy Efficient Machine Learning and Cognitive Computing (EMC2 2020) 

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Where Should We Begin? A Low-Level Exploration of Weight Initialization Impact on Quantized Behaviour of Deep Neural Networks

Nov 30, 2020
Stone Yun, Alexander Wong

* Accepted for publication at the 6th Annual Conference on Computer Vision and Intelligent Systems (CVIS2020) 

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CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images

Nov 21, 2020
James Ren Hou Lee, Maya Pavlova, Mahmoud Famouri, Alexander Wong

* 8 pages 

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EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution

Nov 17, 2020
William McNally, Kanav Vats, Alexander Wong, John McPhee


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Identifying and interpreting tuning dimensions in deep networks

Nov 05, 2020
Nolan S. Dey, J. Eric Taylor, Bryan P. Tripp, Alexander Wong, Graham W. Taylor

* 14 pages, 12 figures, Shared Visual Representations in Human & Machine Intelligence NeurIPS Workshop 2020 

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Insights into Fairness through Trust: Multi-scale Trust Quantification for Financial Deep Learning

Nov 03, 2020
Alexander Wong, Andrew Hryniowski, Xiao Yu Wang

* 9 pages 

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AEGIS: A real-time multimodal augmented reality computer vision based system to assist facial expression recognition for individuals with autism spectrum disorder

Oct 22, 2020
James Ren Hou Lee, Alexander Wong

* 4 pages, 1 figure 

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Where's the Question? A Multi-channel Deep Convolutional Neural Network for Question Identification in Textual Data

Oct 15, 2020
George Michalopoulos, Helen Chen, Alexander Wong

* 12 pages, 4 figures, to be published in The 3rd Clinical Natural Language Processing Workshop 

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Where Does Trust Break Down? A Quantitative Trust Analysis of Deep Neural Networks via Trust Matrix and Conditional Trust Densities

Sep 30, 2020
Andrew Hryniowski, Xiao Yu Wang, Alexander Wong

* 5 pages 

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AttendNets: Tiny Deep Image Recognition Neural Networks for the Edge via Visual Attention Condensers

Sep 30, 2020
Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee

* 9 pages 

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How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks

Sep 20, 2020
Alexander Wong, Xiao Yu Wang, Andrew Hryniowski

* 13 pages 

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COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images

Sep 08, 2020
Hayden Gunraj, Linda Wang, Alexander Wong

* 12 pages 

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TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices

Aug 23, 2020
Alexander Wong, Mahmoud Famouri, Maya Pavlova, Siddharth Surana

* 9 pages 

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Vulnerability Under Adversarial Machine Learning: Bias or Variance?

Aug 01, 2020
Hossein Aboutalebi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 18 pages 

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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

Jul 22, 2020
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong


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Quantization in Relative Gradient Angle Domain For Building Polygon Estimation

Jul 10, 2020
Yuhao Chen, Yifan Wu, Linlin Xu, Alexander Wong


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EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition

Jun 29, 2020
James Ren Hou Lee, Linda Wang, Alexander Wong

* 9 pages 

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Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity

May 27, 2020
Alexander Wong, Zhong Qiu Lin, Linda Wang, Audrey G. Chung, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Timothy Q. Duong

* 7 pages 

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DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation

Apr 17, 2020
Linda Wang, Mahmoud Famouri, Alexander Wong

* 9 pages 

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COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Apr 15, 2020
Linda Wang, Alexander Wong

* 9 pages 

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COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images

Mar 30, 2020
Linda Wang, Alexander Wong

* 7 pages 

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Deep Neural Network Perception Models and Robust Autonomous Driving Systems

Mar 04, 2020
Mohammad Javad Shafiee, Ahmadreza Jeddi, Amir Nazemi, Paul Fieguth, Alexander Wong


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