9 citations · 21 across the 7 of their papers we have counts for
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cs.LG2024
Brain Storm Optimization Based Swarm Learning for Diabetic Retinopathy Image Classification
Liang Qu, Cunze Wang, Yuhui Shi
The application of deep learning techniques to medical problems has garnered widespread research interest in recent years, such as applying convolutional neural networks to medical…
cs.LG2023★ 4 cited
Semi-decentralized Federated Ego Graph Learning for Recommendation
Liang Qu, Ningzhi Tang, Ruiqi Zheng +4
Collaborative filtering (CF) based recommender systems are typically trained based on personal interaction data (e.g., clicks and purchases) that could be naturally represented as…
cs.LG2021★ 9 cited
ImGAGN:Imbalanced Network Embedding via Generative Adversarial Graph Networks
Liang Qu, Huaisheng Zhu, Ruiqi Zheng +2
Imbalanced classification on graphs is ubiquitous yet challenging in many real-world applications, such as fraudulent node detection. Recently, graph neural networks (GNNs) have sh…