Shawn O'Banion

According to our database, Shawn O'Banion authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adherence to non-pharmaceutical interventions following COVID-19 vaccination: a federated cohort study.

Benjamin Rader, Neil K. R. Sehgal, Julie Michelman, Stefan Mellem, Marinanicole D. Schultheiss, Tom Hoddes, Jamie Macfarlane, Geoff Clark, Shawn O'Banion, Paul Eastham, Gaurav Tuli, James A. Taylor, John S. Brownstein

npj Digit. Medicine, 2024

CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data.

Zhao Cheng, Diane Wan, Matthew Abueg, Sahra Ghalebikesabi, Ren Yi, Eugene Bagdasarian, Borja Balle, Stefan Mellem, Shawn O'Banion

CoRR, 2024

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs.

Jiaxing Wu, Lin Ning, Luyang Liu, Harrison Lee, Neo Wu, Chao Wang, Sushant Prakash, Shawn O'Banion, Bradley Green, Jun Xie

CoRR, 2024

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches.

Chao Wang, Neo Wu, Lin Ning, Luyang Liu, Jun Xie, Shawn O'Banion, Bradley Green

CoRR, 2024

User-LLM: Efficient LLM Contextualization with User Embeddings.

Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie

CoRR, 2024

Massively Scalable Inverse Reinforcement Learning in Google Maps.

Matt Barnes, Matthew Abueg, Oliver F. Lange, Matt Deeds, Jason Trader, Denali Molitor, Markus Wulfmeier, Shawn O'Banion

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services.

Luyang Liu, David Racz, Kara Vaillancourt, Julie Michelman, Matt Barnes, Stefan Mellem, Paul Eastham, Bradley Green, Charles Armstrong, Rishi Bal, Shawn O'Banion, Feng Guo

CoRR, 2022

2021

Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state.

Matthew Abueg, Robert Hinch, Neo Wu, Luyang Liu, William J. M. Probert, Austin Wu, Paul Eastham, Yusef Shafi, Matt Rosencrantz, Michael Dikovsky, Zhao Cheng, Anel Nurtay, Lucie Abeler-Dörner, David G. Bonsall, Michael V. McConnell, Shawn O'Banion, Christophe Fraser

npj Digit. Medicine, 2021

2020

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks.

Amol Kapoor, Xue Ben, Luyang Liu, Bryan Perozzi, Matt Barnes, Martin Blais, Shawn O'Banion

CoRR, 2020

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case.

Neo Wu, Bradley Green, Xue Ben, Shawn O'Banion

CoRR, 2020

2013

Finding the local angle in national news.

Shawn O'Banion, Larry Birnbaum, Scott Bradley

Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Using explicit linguistic expressions of preference in social media to predict voting behavior.

Shawn O'Banion, Larry Birnbaum

Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012

Social media-driven news personalization.

Shawn O'Banion, Larry Birnbaum, Kristian J. Hammond

Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, 2012