Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case. - Neo Wu; Bradley Green; Xue Ben; 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)

OpenABM-Covid19 - An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing. - Robert Hinch; William J. M. Probert; Anel Nurtay; Michelle Kendall; Chris Wymant; Matthew Hall; Katrina A. Lythgoe; Ana Bulas Cruz; Lele Zhao; Andrea Stewart; Luca Ferretti; Daniel Montero; et al. (PLoS Comput. Biol., 2021)

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)

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)

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning. - Yuhan Liu; Lin Ning 001; Neo Wu; Karan Singhal; Philip Andrew Mansfield; Devora Berlowitz; Sushant Prakash; Bradley Green (CoRR, 2025)