Naghmeh Rezaei

According to our database, Naghmeh Rezaei authored at least 4 papers between 2022 and 2026.

Collaborative distances:

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

2026

Towards a General Intelligence and Interface for Wearable Health Data.

Girish Narayanswamy, Maxwell A. Xu, A. Ali Heydari, Samy Abdel-Ghaffar, Marius Guerard, Kara Vaillancourt, Zhihan Zhang, Jake Garrison, Levi Albuquerque, Dimitris Spathis, Hong Yu, Hamid Palangi, Xuhai Orson Xu, David G. T. Barrett, Joseph Breda, Jed McGiffin, Yubin Kim, Yuwei Zhang, Naghmeh Rezaei, Samuel Solomon, Karan Ahuja, Tim Althoff, Jake Sunshine, Ming-Zher Poh, Benjamin Yetton, Ari Winbush, Nicholas B. Allen, James M. Rehg, Isaac R. Galatzer-Levy, Yun Liu, John Hernandez, Anupam Pathak, Conor Heneghan, Yuzhe Yang, Ahmed A. Metwally, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Xin Liu, Daniel McDuff

CoRR, May, 2026

2024

Transforming Wearable Data into Health Insights using Large Language Model Agents.

Mike A. Merrill, Akshay Paruchuri, Naghmeh Rezaei, Geza Kovacs, Javier Perez Matos, Yun Liu, Erik Schenck, Nova Hammerquist, Jake Sunshine, Shyam A. Tailor, Kumar Ayush, Hao-Wei Su, Qian He, Cory Y. McLean, Mark Malhotra, Shwetak N. Patel, Jiening Zhan, Tim Althoff, Daniel McDuff, Xin Liu

CoRR, 2024

Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning.

A. Ali Heydari, Naghmeh Rezaei, Javier L. Prieto, Shwetak N. Patel, Ahmed A. Metwally

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2024

2022

No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective.

A. Ali Heydari, Naghmeh Rezaei, Daniel J. McDuff, Javier L. Prieto

CoRR, 2022