2 papers
cs.LG2025
Deep Learning within Tabular Data: Foundations, Challenges, Advances and Future Directions
Weijieying Ren, Tianxiang Zhao, Yuqing Huang +1
Tabular data remains one of the most prevalent data types across a wide range of real-world applications, yet effective representation learning for this domain poses unique challen…
cs.CV2024
Predicting Stroke through Retinal Graphs and Multimodal Self-supervised Learning
Yuqing Huang, Bastian Wittmann, Olga Demler +2
Early identification of stroke is crucial for intervention, requiring reliable models. We proposed an efficient retinal image representation together with clinical information to c…