Gaitmixer: Skeleton-Based Gait Representation Learning Via Wide-Spectrum Multi-Axial Mixer. - Ekkasit Pinyoanuntapong; Ayman Ali; Pu Wang 001; Minwoo Lee 001; Chen Chen 001 (ICASSP, 2023)

Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN). - Ayman Ali; Ekkasit Pinyoanuntapong; Pu Wang 001; Mohsen Dorodchi (CoRR, 2023)

GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition. - Ekkasit Pinyoanuntapong; Ayman Ali; Kalvik Jakkala; Pu Wang 001; Minwoo Lee 001; Qucheng Peng; Chen Chen 001; Zhi Sun (CoRR, 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 001; Mohsen Dorodchi (CoRR, 2023)

Exploring Explainable Machine Learning in Early Liver Disease Detection: Insights from Fatty Liver and Hepatitis B. - Ayman Ali; Ahmed Ashraf; Kamel Rahouma (NILES, 2024)

Machine Learning-Enhanced Anomaly Detection in Healthcare Monitoring:A Survey. - Ayman Ali; Ahmed Ashraf; Kamel Rahouma (NILES, 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)

Retrieval-augmented systems can be dangerous medical communicators. - Lionel Wong; Ayman Ali; Raymond Xiong; Shannon Zejiang Shen; Yoon Kim; Monica Agrawal (CoRR, 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 034; Ishan Chatterjee; Monica Agrawal (CoRR, 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 (CoRR, 2025)