Neo Wu

According to our database, Neo Wu authored at least 7 papers between 2020 and 2025.

Collaborative distances:

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

2025

Enhancing User Sequence Modeling through Barlow Twins-based Self-Supervised Learning.

Yuhan Liu, Lin Ning, Neo Wu, Karan Singhal, Philip Andrew Mansfield, Devora Berlowitz, Sushant Prakash, Bradley Green

CoRR, May, 2025

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

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, James Warren, Nicole Mather, Matthew Abueg, Neo Wu, Olivier Legat, Katie Bentley, Thomas Mead, Kelvin Van-Vuuren, Dylan Feldner-Busztin, Tommaso Ristori, Anthony Finkelstein, David G. Bonsall, Lucie Abeler-Dörner, Christophe Fraser

PLoS Comput. Biol., 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

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

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

CoRR, 2020