Brian Chu

According to our database, Brian Chu authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

2024

The adaptation of a single institution diabetes care platform into a nationally available turnkey solution.

Gloria Y. K. Kim, Rea Rostosky, Franziska K. Bishop, Kelly Watson, Priya Prahalad, Aishwari Vaidya, Sharon Lee, Alexander Diana, Clint Beacock, Brian Chu, Ginny Yadav, Kaylin Rochford, Carissa Carter, Johannes O. Ferstad, Erica Pang, Jamie Kurtzig, Brandon Arbiter, Howard Look, Ramesh Johari, David M. Maahs, David Scheinker

npj Digit. Medicine, 2024

2023

Leveraging Large Language Models in Conversational Recommender Systems.

Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari

CoRR, 2023

2022

An interpretable RL framework for pre-deployment modeling in ICU hypotension management.

Kristine Zhang, Henry Wang, Jianzhun Du, Brian Chu, Aldo Arévalo, Ryan Kindle, Leo Anthony Celi, Finale Doshi-Velez

npj Digit. Medicine, 2022

2021

Parsing Birdsong with Deep Audio Embeddings.

Irina Tolkova, Brian Chu, Marcel Hedman, Stefan Kahl, Holger Klinck

CoRR, 2021

Identifying Decision Points for Safe and Interpretable Reinforcement Learning in Hypotension Treatment.

Kristine Zhang, Yuanheng Wang, Jianzhun Du, Brian Chu, Leo Anthony Celi, Ryan Kindle, Finale Doshi-Velez

CoRR, 2021

Understanding Social Support Expressed in a COVID-19 Online Forum.

Anietie Andy, Brian Chu, Ramie Fathy, Barrington Bennett, Daniel Stokes, Sharath Chandra Guntuku

Proceedings of the 12th International Workshop on Health Text Mining and Information Analysis, 2021

2019

Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length.

Kai Liu, Brian Chu, Jay M. Newby, Elizabeth L. Read, John S. Lowengrub, Jun Allard

PLoS Comput. Biol., 2019

2017

Visualizing Residual Networks.

Brian Chu, Daylen Yang, Ravi Tadinada

CoRR, 2017

2016

Best Practices for Fine-Tuning Visual Classifiers to New Domains.

Brian Chu, Vashisht Madhavan, Oscar Beijbom, Judy Hoffman, Trevor Darrell

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016