A. Ali Heydari

According to our database, A. Ali Heydari authored at least 13 papers between 2019 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

CoDaS: AI Co-Data-Scientist for Biomarker Discovery via Wearable Sensors.

Yubin Kim, Salman Rahman, Samuel Schmidgall, Chunjong Park, A. Ali Heydari, Ahmed A. Metwally, Hong Yu, Xin Liu, Xuhai Xu, Yuzhe Yang, Maxwell A. Xu, Zhihan Zhang, Cynthia Breazeal, Tim Althoff, Petar Sirkovic, Ivor Rendulic, Annalisa Pawlosky, Nicolas Stroppa, Juraj Gottweis, Elahe Vedadi, Alan Karthikesalingam, Pushmeet Kohli, Vivek Natarajan, Mark Malhotra, Shwetak N. Patel, Hae Won Park, Hamid Palangi, Daniel McDuff

CoRR, April, 2026

2025

Towards a Science of Scaling Agent Systems.

Yubin Kim, Ken Gu, Chanwoo Park, Chunjong Park, Samuel Schmidgall, A. Ali Heydari, Yao Yan, Zhihan Zhang, Yuchen Zhuang, Mark Malhotra, Paul Pu Liang, Hae Won Park, Yuzhe Yang, Xuhai Xu, Yilun Du, Shwetak N. Patel, Tim Althoff, Daniel McDuff, Xin Liu

CoRR, December, 2025

The Anatomy of a Personal Health Agent.

A. Ali Heydari, Ken Gu, Vidya Srinivas, Hong Yu, Zhihan Zhang, Yuwei Zhang, Akshay Paruchuri, Qian He, Hamid Palangi, Nova Hammerquist, Ahmed A. Metwally, Brent Winslow, Yubin Kim, Kumar Ayush, Yuzhe Yang, Girish Narayanswamy, Maxwell A. Xu, Jake Garrison, Amy A. Lee, Jenny Vafeiadou, Benjamin Graef, Isaac R. Galatzer-Levy, Erik Schenck, Andrew Barakat, Javier Perez Matos, Jacqueline Shreibati, John Hernandez, Anthony Z. Faranesh, Javier L. Prieto, Conor Heneghan, Yun Liu, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Tim Althoff, Xin Liu, Daniel McDuff, Xuhai Xu

CoRR, August, 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, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak N. Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang

CoRR, June, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Maxwell A. Xu, Girish Narayanswamy, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak N. Patel, Hamid Palangi, Xuhai Xu, Daniel McDuff, Tim Althoff, Xin Liu

CoRR, June, 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, A. Ali Heydari, Yuwei Zhang, Jake Garrison, Samy Abdel-Ghaffar, Xuhai Xu, Ken Gu, Jacob E. Sunshine, Ming-Zher Poh, Yun Liu, Tim Althoff, Shrikanth Narayanan, Pushmeet Kohli, Mark Malhotra, Shwetak N. Patel, Yuzhe Yang, James M. Rehg, Xin Liu, Daniel McDuff

CoRR, June, 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, May, 2025

A Scalable Framework for Evaluating Health Language Models.

Neil Mallinar, A. Ali Heydari, Xin Liu, Anthony Z. Faranesh, Brent Winslow, Nova Hammerquist, Benjamin Graef, Cathy Speed, Mark Malhotra, Shwetak N. Patel, Javier L. Prieto, Daniel McDuff, Ahmed A. Metwally

CoRR, March, 2025

RADAR: Benchmarking Language Models on Imperfect Tabular Data.

Ken Gu, Zhihan Zhang, Kate Lin, Yuwei Zhang, Akshay Paruchuri, Hong Yu, Mehran Kazemi, Kumar Ayush, A. Ali Heydari, Max Xu, Yun Liu, Ming-Zher Poh, Yuzhe Yang, Mark Malhotra, Shwetak Patel, Hamid Palangi, Xuhai Orson Xu, Daniel McDuff, Tim Althoff, Xin Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

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

2019

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions.

A. Ali Heydari, Craig A. Thompson, Asif Mehmood

CoRR, 2019