Social media-driven news personalization. - Shawn O'Banion; Larry Birnbaum; Kristian J. Hammond (RSWeb@RecSys, 2012)

Using explicit linguistic expressions of preference in social media to predict voting behavior. - Shawn O'Banion; Larry Birnbaum (ASONAM, 2013)

Finding the local angle in national news. - Shawn O'Banion; Larry Birnbaum; Scott Bradley (IUI Companion, 2013)

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. - Neo Wu; Bradley Green; Xue Ben; Shawn O'Banion (CoRR, 2020)

Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks. - Amol Kapoor; Xue Ben; Luyang Liu; Bryan Perozzi; Matt Barnes 001; Martin Blais; Shawn O'Banion (CoRR, 2020)

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; et al. (npj Digit. Medicine, 2021)

Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services. - Luyang Liu; David Racz; Kara Vaillancourt; Julie Michelman; Matt Barnes 001; Stefan Mellem; Paul Eastham; Bradley Green; Charles Armstrong; Rishi Bal; Shawn O'Banion; Feng Guo (CoRR, 2022)

Massively Scalable Inverse Reinforcement Learning in Google Maps. - Matt Barnes 001; Matthew Abueg; Oliver F. Lange; Matt Deeds; Jason Trader; Denali Molitor; Markus Wulfmeier; Shawn O'Banion (ICLR, 2024)

UserSumBench: A Benchmark Framework for Evaluating User Summarization Approaches. - Chao Wang; Neo Wu; Lin Ning 001; Luyang Liu; Jun Xie; Shawn O'Banion; Bradley Green (CoRR, 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)

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 003; et al. (npj Digit. Medicine, 2024)

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs. - Jiaxing Wu; Lin Ning 001; Luyang Liu; Harrison Lee 001; Neo Wu; Chao Wang; Sushant Prakash; Shawn O'Banion; Bradley Green; Jun Xie (AAAI, 2025)

User-LLM: Efficient LLM Contextualization with User Embeddings. - Lin Ning 001; Luyang Liu; Jiaxing Wu; Neo Wu; Devora Berlowitz; Sushant Prakash; Bradley Green; Shawn O'Banion; Jun Xie (WWW (Companion Volume), 2025)