Ling Ma — accepted AI-conference papers

2026

Cooperative Multi-View Graph Learning via High-Rank Tensor Specificity

Ling Ma, Qiyu Zhong, Songxuan Shi, Hao Wei, Shunjie Yang, Junbo Lian +6

IJCAI 2026

Graph-based multi-view clustering, with its ability to mine potential associations between samples, has attracted extensive attention. To capture high-order correlations, tensor-based frameworks have been introduced to model multiple graphs jointly. Although these methods have achieved promising per

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2021

AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction

Hao Chen, Fuzhen Zhuang, Li Xiao, Ling Ma, Haiyan Liu, Ruifang Zhang +2

IJCAI 2021poster

Recently, Graph Convolutional Networks (GCNs) have proven to be a powerful mean for Computer Aided Diagnosis (CADx). This approach requires building a population graph to aggregate structural information, where the graph adjacency matrix represents the relationship between nodes. Until now, this adj…

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