4 citations · 5 across the 3 of their papers we have counts for
6 papers
Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection
Nikola Kovacevic, Bastien Husler, Di Zhuang +2
Personal health data from wearables are typically presented through dashboards of charts and summary statistics, requiring users to actively interpret patterns and implications. We…
Towards Interpretable PolSAR Image Classification: Polarimetric Scattering Mechanism Informed Concept Bottleneck and Kolmogorov-Arnold Network
Jinqi Zhang, Fangzhou Han, Di Zhuang +3
In recent years, Deep Learning (DL) based methods have received extensive and sufficient attention in the field of PolSAR image classification, which show excellent performance. Ho…
Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction
Mingchen Li, Di Zhuang, Keyu Chen +2
Link prediction in graph data uses various algorithms and Graph Nerual Network (GNN) models to predict potential relationships between graph nodes. These techniques have found wide…
SuperCon: Supervised Contrastive Learning for Imbalanced Skin Lesion Classification
Keyu Chen, Di Zhuang, J. Morris Chang
Convolutional neural networks (CNNs) have achieved great success in skin lesion classification. A balanced dataset is required to train a good model. However, due to the appearance…
SAIA: Split Artificial Intelligence Architecture for Mobile Healthcare System
Di Zhuang, Nam Nguyen, Keyu Chen +1
As the advancement of deep learning (DL), the Internet of Things and cloud computing techniques for biomedical and healthcare problems, mobile healthcare systems have received unpr…
CS-AF: A Cost-sensitive Multi-classifier Active Fusion Framework for Skin Lesion Classification
Di Zhuang, Keyu Chen, J. Morris Chang
Convolutional neural networks (CNNs) have achieved the state-of-the-art performance in skin lesion analysis. Compared with single CNN classifier, combining the results of multiple…