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cs.LG2026
Pretraining Reusable Inference Across Views with Synthetic Task Priors
Jielong Lu, Zhihao Wu, Jiajun Yu +2
Modern pretrained encoders make representations from heterogeneous views increasingly reusable, but the procedure that determines view utility and combines evidence is still relear…
cs.LG2025
Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors
Jielong Lu, Zhihao Wu, Jiajun Yu +2
Integrating multi-omics datasets through data-driven analysis offers a comprehensive understanding of the complex biological processes underlying various diseases, particularly can…
cs.LG2025★ 1 cited
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
Jielong Lu, Zhihao Wu, Zhiling Cai +2
In recent years, Graph Convolutional Networks (GCNs) have gained popularity for their exceptional ability to process graph-structured data. Existing GCN-based approaches typically…