EdgeSpeechNets: Highly Efficient Deep Neural Networks for Speech Recognition on the Edge. - Zhong Qiu Lin; Audrey G. Chung; Alexander Wong (CoRR, 2018)

AttoNets: Compact and Efficient Deep Neural Networks for the Edge via Human-Machine Collaborative Design. - Alexander Wong; Zhong Qiu Lin; Brendan Chwyl (CVPR Workshops, 2019)

Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks. - Zhong Qiu Lin; Alexander Wong (CoRR, 2019)

EdgeSegNet: A Compact Network for Semantic Segmentation. - Zhong Qiu Lin; Brendan Chwyl; Alexander Wong (CoRR, 2019)

Squeeze-and-Attention Networks for Semantic Segmentation. - Zilong Zhong; Zhong Qiu Lin; Rene Bidart; Xiaodan Hu; Ibrahim Ben Daya; Jonathan Li 001; Alexander Wong (CoRR, 2019)

State of Compact Architecture Search For Deep Neural Networks. - Mohammad Javad Shafiee; Andrew Hryniowski; Francis Li; Zhong Qiu Lin; Alexander Wong (CoRR, 2019)

Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms. - Zhong Qiu Lin; Mohammad Javad Shafiee; Stanislav Bochkarev; Michael St. Jules; Xiaoyu Wang 010; Alexander Wong (CoRR, 2019)

PuckNet: Estimating hockey puck location from broadcast video. - Kanav Vats; William J. McNally; Chris Dulhanty; Zhong Qiu Lin; David A. Clausi; John S. Zelek (CoRR, 2019)

Squeeze-and-Attention Networks for Semantic Segmentation. - Zilong Zhong; Zhong Qiu Lin; Rene Bidart; Xiaodan Hu; Ibrahim Ben Daya; Zhifeng Li; Wei-Shi Zheng 001; Jonathan Li 001; Alexander Wong (CVPR, 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)