Ayman Ali

According to our database, Ayman Ali authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication.

Sraavya Sambara, Yuan Pu, Ayman Ali, Vishala Mishra, Lionel Wong, Monica Agrawal

CoRR, January, 2026

2025

Retrieval-augmented systems can be dangerous medical communicators.

Lionel Wong, Ayman Ali, Raymond M. Xiong, Shannon Zejiang Shen, Yoon Kim, Monica Agrawal

CoRR, February, 2025

CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories.

Mehak Arora, Ayman Ali, Kaiyuan Wu, Carolyn Davis, Takashi Shimazui, Mahmoud Alwakeel, Victor Moas, Philip Yang, Annette Esper, Rishikesan Kamaleswaran

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Position: Retrieval-augmented systems can be dangerous medical communicators.

Lionel Wong, Ayman Ali, Raymond M. Xiong, Zejiang Shen, Yoon Kim, Monica Agrawal

Proceedings of the Forty-second International Conference on Machine Learning, 2025

"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets.

Akshay Paruchuri, Maryam Aziz, Rohit Vartak, Ayman Ali, Best Uchehara, Xin Liu, Ishan Chatterjee, Monica Agrawal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Deep Representation Learning-Based Dynamic Trajectory Phenotyping for Acute Respiratory Failure in Medical Intensive Care Units.

Alan Wu, Tilendra Choudhary, Pulakesh Upadhyaya, Ayman Ali, Philip Yang, Rishikesan Kamaleswaran

CoRR, 2024

Machine Learning-Enhanced Anomaly Detection in Healthcare Monitoring:A Survey.

Ayman Ali, Ahmed Ashraf, Kamel Rahouma

Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference, 2024

Exploring Explainable Machine Learning in Early Liver Disease Detection: Insights from Fatty Liver and Hepatitis B.

Ayman Ali, Ahmed Ashraf, Kamel Rahouma

Proceedings of the 6th Novel Intelligent and Leading Emerging Sciences Conference, 2024

2023

A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose.

Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang, Mohsen Dorodchi

CoRR, 2023

GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition.

Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun

CoRR, 2023

Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN).

Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang, Mohsen Dorodchi

CoRR, 2023

Gaitmixer: Skeleton-Based Gait Representation Learning Via Wide-Spectrum Multi-Axial Mixer.

Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen

Proceedings of the IEEE International Conference on Acoustics, 2023