SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions. - A. Ali Heydari; Craig A. Thompson; Asif Mehmood (CoRR, 2019)

No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective. - A. Ali Heydari; Naghmeh Rezaei; Daniel J. McDuff; Javier L. Prieto (CoRR, 2022)

Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning. - A. Ali Heydari; Naghmeh Rezaei; Javier L. Prieto; Shwetak N. Patel; Ahmed A. Metwally (BHI, 2024)

A Scalable Framework for Evaluating Health Language Models. - Neil Mallinar; A. Ali Heydari; Xin Liu 034; Anthony Z. Faranesh; Brent Winslow; Nova Hammerquist; Benjamin Graef; Cathy Speed; Mark Malhotra; Shwetak N. Patel; Javier L. Prieto; Daniel McDuff; et al. (CoRR, 2025)

Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers. - Ahmed A. Metwally; A. Ali Heydari; Daniel McDuff; Alexandru Solot; Zeinab Esmaeilpour; Anthony Z. Faranesh; Menglian Zhou; David B. Savage; Conor Heneghan; Shwetak N. Patel; Cathy Speed; Javier L. Prieto (CoRR, 2025)

LSM-2: Learning from Incomplete Wearable Sensor Data. - Maxwell A. Xu; Girish Narayanswamy; Kumar Ayush; Dimitris Spathis; Shun Liao; Shyam A. Tailor; Ahmed Metwally 002; A. Ali Heydari; Yuwei Zhang; Jake Garrison; Samy Abdel-Ghaffar; Xuhai Xu; et al. (CoRR, 2025)

RADAR: Benchmarking Language Models on Imperfect Tabular Data. - Ken Gu; Zhihan Zhang 002; Kate Lin; Yuwei Zhang; Akshay Paruchuri; Hong Yu 001; Mehran Kazemi; Kumar Ayush; A. Ali Heydari; Maxwell A. Xu; Girish Narayanswamy; Yun Liu 013; et al. (CoRR, 2025)

SensorLM: Learning the Language of Wearable Sensors. - Yuwei Zhang; Kumar Ayush; Siyuan Qiao; A. Ali Heydari; Girish Narayanswamy; Maxwell A. Xu; Ahmed A. Metwally; Shawn Xu; Jake Garrison; Xuhai Xu; Tim Althoff; Yun Liu 013; et al. (CoRR, 2025)