Liangyuan Na

According to our database, Liangyuan Na authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

The Benefit of Uncertainty Coupling in Robust and Adaptive Robust Optimization.

Dimitris Bertsimas, Liangyuan Na, Bartolomeo Stellato, Irina Wang

INFORMS J. Optim., 2025

2024

Optimization Automates Emergency Department Nurse Scheduling at Hartford Hospital.

Liangyuan Na, Jean Pauphilet, Ali Haddad-Sisakht, Louis Raison, Audrey Silver, Patricia Veronneau, Nicole Vogt, Dimitris Bertsimas

INFORMS J. Appl. Anal., 2024

2023

Patient Outcome Predictions Improve Operations at a Large Hospital Network.

Liangyuan Na, Kimberly Villalobos Carballo, Jean Pauphilet, Ali Haddad-Sisakht, Daniel Kombert, Melissa Boisjoli-Langlois, Andrew Castiglione, Maram Khalifa, Pooja Hebbal, Barry Stein, Dimitris Bertsimas

CoRR, 2023

2022

Integrated multimodal artificial intelligence framework for healthcare applications.

Luis R. Soenksen, Yu Ma, Cynthia Zeng, Léonard Boussioux, Kimberly Villalobos Carballo, Liangyuan Na, Holly M. Wiberg, Michael Lingzhi Li, Ignacio Fuentes, Dimitris Bertsimas

npj Digit. Medicine, 2022

TabText: a Systematic Approach to Aggregate Knowledge Across Tabular Data Structures.

Dimitris Bertsimas, Kimberly Villalobos Carballo, Yu Ma, Liangyuan Na, Léonard Boussioux, Cynthia Zeng, Luis R. Soenksen, Ignacio Fuentes

CoRR, 2022

Data-driven Interpretable Policy Construction for Personalized Mobile Health.

Dimitris Bertsimas, Predrag V. Klasnja, Susan A. Murphy, Liangyuan Na

Proceedings of the IEEE International Conference on Digital Health, 2022