3 citations · 3 across the 2 of their papers we have counts for
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cs.AI2026★ 3 cited
Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment
Keren Artiaga, Yang Li, Ercan Engin Kuruoglu +2
Sign language serves as a vital means of communication for individuals with hearing impairments, yet recognition resources for the over 100 distinct sign languages are severely lac…
cs.AI2026
Robust Learning on Heterogeneous Graphs with Heterophily: A Graph Structure Learning Approach
Yihan Zhang, Ercan E. Kuruoglu
Heterogeneous graphs with heterophily have emerged as a powerful abstraction for modeling complex real-world systems, where nodes of different types and labels interact in diverse…
cs.AI2024
LLM-based Online Prediction of Time-varying Graph Signals
Dayu Qin, Yi Yan, Ercan Engin Kuruoglu
In this paper, we propose a novel framework that leverages large language models (LLMs) for predicting missing values in time-varying graph signals by exploiting spatial and tempor…