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Staff Software Engineer at Google
Andrew Howard is a Staff Software Engineer at Google Research working on efficient computer vision models for mobile applications. He is the originator of Google’s popular MobileNet models and he and his team contribute efficient vision models to many popular Google products.
Assistant Professor at MIT
Song has championed the use of pruning and compression techniques to make CNNs more amenable to embedded and mobile devices.
Research Scientist at Facebook AI Research
Carole-Jean Wu is a technical lead and manager at Facebook AI Research. Her research is in the domain of computer system architecture with particular emphasis on energy- and memory-efficient systems. Her recent work has pivoted into design systems for machine learning execution at scale. She is interested in tackling system challenges to enable efficient and responsible AI execution.
Research Scientist at Facebook
Xiaoliang is focusing his research on efficient deep learning architectures and is the main author of ChamNet and FBNetV3.
Assistant Professor at Rice University
Yingyan (Celine) Lin is an Assistant Professor in the ECE Department at Rice University, working in efficient machine learning techniques towards green AI and ubiquitous machine learning powered intelligence. She received a Ph.D. degree in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign in 2017 and NSF CAREER Award in 2021.
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