1 citations · 1 across the 3 of their papers we have counts for
4 papers
Beyond Visibility and Technical Reuse: Public Application Transformation in Open-Source Model Ecosystems
Duorong Wang, Xiaoting Wei, Bin Liu +1
Open-source model platforms have made it easier to publish AI models, but model release alone does not reveal whether models become visible, technically reused, or incorporated int…
R^2-HGP: A Double-Regularized Gaussian Process for Heterogeneous Transfer Learning
Duo Wang, Xinming Wang, Chao Wang +2
Multi-output Gaussian process (MGP) models have attracted significant attention for their flexibility and uncertainty-quantification capabilities, and have been widely adopted in m…
UniGTE: Unified Graph-Text Encoding for Zero-Shot Generalization across Graph Tasks and Domains
Duo Wang, Yuan Zuo, Guangyue Lu +1
Generalizing to unseen graph tasks without task-specific supervision is challenging: conventional graph neural networks are typically tied to a fixed label space, while large langu…
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang, Yuan Zuo, Fengzhi Li +1
Zero-shot graph machine learning, especially with graph neural networks (GNNs), has garnered significant interest due to the challenge of scarce labeled data. While methods like se…