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COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images


May 04, 2021
Hossein Aboutalebi, Saad Abbasi, Mohammad Javad Shafiee, Alexander Wong


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COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images


May 01, 2021
Hossein Aboutalebi, Maya Pavlova, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong


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OutlierNets: Highly Compact Deep Autoencoder Network Architectures for On-Device Acoustic Anomaly Detection


Apr 19, 2021
Saad Abbasi, Mahmoud Famouri, Mohammad Javad Shafiee, Alexander Wong

* 7 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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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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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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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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Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness


Mar 03, 2020
Ahmadreza Jeddi, Mohammad Javad Shafiee, Michelle Karg, Christian Scharfenberger, Alexander Wong

* 13 pages, 6 figures To be published in proceedings of IEEE conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms


Oct 29, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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Explaining with Impact: A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms


Oct 16, 2019
Zhong Qiu Lin, Mohammad Javad Shafiee, Stanislav Bochkarev, Michael St. Jules, Xiao Yu Wang, Alexander Wong

* 9 pages 

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State of Compact Architecture Search For Deep Neural Networks


Oct 15, 2019
Mohammad Javad Shafiee, Andrew Hryniowski, Francis Li, Zhong Qiu Lin, Alexander Wong

* 6 pages 

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YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection


Oct 03, 2019
Alexander Wong, Mahmoud Famuori, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung

* 5 pages 

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Human-Machine Collaborative Design for Accelerated Design of Compact Deep Neural Networks for Autonomous Driving


Sep 12, 2019
Mohammad Javad Shafiee, Mirko Nentwig, Yohannes Kassahun, Francis Li, Stanislav Bochkarev, Akif Kamal, David Dolson, Secil Altintas, Arif Virani, Alexander Wong

* 7 pages; BMVC Workshop on Visual AI and Entrepreneurship (VAIE) 

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Efficient Inference on Deep Neural Networks by Dynamic Representations and Decision Gates


Nov 06, 2018
Mohammad Saeed Shafiee, Mohammad Javad Shafiee, Alexander Wong

* 4 pages 

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MicronNet: A Highly Compact Deep Convolutional Neural Network Architecture for Real-time Embedded Traffic Sign Classification


Oct 03, 2018
Alexander Wong, Mohammad Javad Shafiee, Michael St. Jules

* 11 pages 

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FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis


Sep 17, 2018
Alexander Wong, Mohammad Javad Shafiee, Brendan Chwyl, Francis Li

* 4 pages 

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Unsupervised Feature Learning Toward a Real-time Vehicle Make and Model Recognition


Jun 08, 2018
Amir Nazemi, Mohammad Javad Shafiee, Zohreh Azimifar, Alexander Wong

* 15 pages include 14 figures and 5 tables 

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Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection


Feb 19, 2018
Alexander Wong, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl

* 7 pages 

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StressedNets: Efficient Feature Representations via Stress-induced Evolutionary Synthesis of Deep Neural Networks


Jan 16, 2018
Mohammad Javad Shafiee, Brendan Chwyl, Francis Li, Rongyan Chen, Michelle Karg, Christian Scharfenberger, Alexander Wong


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SquishedNets: Squishing SqueezeNet further for edge device scenarios via deep evolutionary synthesis


Nov 20, 2017
Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Alexander Wong

* 4 pages 

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Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection


Oct 20, 2017
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 26 pages 

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Discovery Radiomics via Deep Multi-Column Radiomic Sequencers for Skin Cancer Detection


Sep 24, 2017
Mohammad Javad Shafiee, Alexander Wong


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Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video


Sep 18, 2017
Mohammad Javad Shafiee, Brendan Chywl, Francis Li, Alexander Wong


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The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis


Sep 07, 2017
Audrey Chung, Mohammad Javad Shafiee, Paul Fieguth, Alexander Wong

* 8 pages 

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Exploring the Imposition of Synaptic Precision Restrictions For Evolutionary Synthesis of Deep Neural Networks


Jul 01, 2017
Mohammad Javad Shafiee, Francis Li, Alexander Wong


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Evolution in Groups: A deeper look at synaptic cluster driven evolution of deep neural networks


Apr 07, 2017
Mohammad Javad Shafiee, Elnaz Barshan, Alexander Wong

* 8 pages. arXiv admin note: substantial text overlap with arXiv:1609.01360 

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Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction


Mar 28, 2017
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong

* 8 pages 

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Deep Learning with Darwin: Evolutionary Synthesis of Deep Neural Networks


Feb 06, 2017
Mohammad Javad Shafiee, Akshaya Mishra, Alexander Wong

* 5 pages 

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Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding


Nov 22, 2016
Mohammad Javad Shafiee, Alexander Wong

* 5 pages 

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