COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow. - Audrey G. Chung; Maya Pavlova; Hayden Gunraj; Naomi Terhljan; Alexander MacLean; Hossein Aboutalebi; Siddharth Surana; Andy Zhao; Saad Abbasi; Alexander Wong (CCECE, 2021)

COVID-Net US: A Tailored, Highly Efficient, Self-attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-Care Ultrasound Imaging. - Alexander MacLean; Saad Abbasi; Ashkan Ebadi; Andy Zhao; Maya Pavlova; Hayden Gunraj; Pengcheng Xi; Sonny Kohli; Alexander Wong (DART/FAIR@MICCAI, 2021)

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. - Maya Pavlova; Naomi Terhljan; Audrey G. Chung; Andy Zhao; Siddharth Surana; Hossein Aboutalebi; Hayden Gunraj; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics. - Maya Pavlova; Tia Tuinstra; Hossein Aboutalebi; Andy Zhao; Hayden Gunraj; Alexander Wong (CoRR, 2022)

The Effects and Non-Effects of Social Sanctions from User Jury-Based Content Moderation Decisions on Weibo. - Andy Zhao; Will Hobbs (CHI, 2025)

Generalized Quantal Response Equilibrium: Existence and Efficient Learning. - Apurv Shukla; Vijay Subramanian; Andy Zhao; Rahul Jain (CoRR, 2025)