Neo Wu
Google (United States)(US)DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
COVID-19 epidemiological studies, SARS-CoV-2 and COVID-19 Research, Recommender Systems and Techniques, Data-Driven Disease Surveillance, COVID-19 Digital Contact Tracing
Most-Cited Works
- → Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case(2020)349 cited
- → OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing(2021)210 cited
- → Context-specific emergence and growth of the SARS-CoV-2 Delta variant(2022)139 cited
- → Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state(2021)93 cited
- → OpenABM-Covid19 - an agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing(2020)83 cited
- → Genomic assessment of invasion dynamics of SARS-CoV-2 Omicron BA.1(2023)66 cited
- → Modeling the combined effect of digital exposure notification and non-pharmaceutical interventions on the COVID-19 epidemic in Washington state(2020)64 cited
- → ROR and RYK extracellular region structures suggest that receptor tyrosine kinases have distinct WNT-recognition modes(2021)25 cited
- → User-LLM: Efficient LLM Contextualization with User Embeddings(2025)15 cited