Wanyu Lin

Multiview Subgraph Neural Networks: Self-Supervised Learning With Scarce Labeled Data

2024 · IEEE Transactions on Neural Networks and Learning Systems

While graph neural networks (GNNs) have become the de facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples. This assumption restricts the classification performance of prevailing …

Understanding and Mitigating Cross-lingual Privacy Leakage via Language-specific and Universal Privacy Neurons

2025 · arXiv (Cornell University)

Large Language Models (LLMs) trained on massive data capture rich information embedded in the training data. However, this also introduces the risk of privacy leakage, particularly involving personally identifiable information (PII). Although previous studies have …