Response of Selective Attention in Middle Temporal Area. - Linda Wang (CoRR, 2019)

Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration. - Linda Wang; Alexander Wong (CoRR, 2019)

Implications of Computer Vision Driven Assistive Technologies Towards Individuals with Visual Impairment. - Linda Wang; Alexander Wong (CoRR, 2019)

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images. - Linda Wang; Alexander Wong (CoRR, 2020)

DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation. - Linda Wang; Mahmoud Famouri; Alexander Wong (CoRR, 2020)

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

COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images. - Hayden Gunraj; Linda Wang; Alexander Wong (CoRR, 2020)

EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition. - James Ren Hou Lee; Linda Wang; Alexander Wong (Frontiers Artif. Intell., 2020)

Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. - Chris Dulhanty; Linda Wang; Maria Cheng; Hayden Gunraj; Farzad Khalvati; Masoom A. Haider; Alexander Wong (Sensors, 2020)

Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles. - Sammy Sidhu; Linda Wang; Tayyab Naseer; Ashish Malhotra; Jay Chia; Aayush Ahuja; Ella Rasmussen; Qiangui Huang; Ray Gao (CoRR, 2021)

Eight quick tips for including chromosome X in genome-wide association studies. - Justin Bellavance; Linda Wang; Sarah A. Gagliano Taliun (PLoS Comput. Biol., 2024)

EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting. - Leyi Yan; Linda Wang; Sihang Liu 001; Yi Ding 006 (e-Energy, 2025)