Bei Yu

Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation

2022 · IEEE Transactions on Neural Networks and Learning Systems

Domain adaptation is a promising way to ease the costly data labeling process in the era of deep learning (DL). A practical situation is partial domain adaptation (PDA), where the label space of the target …

GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration

2024

Graph Neural Networks (GNNs) succeed significantly in many applications recently. However, balancing GNNs training runtime cost, memory consumption, and attainable accuracy for various applications is non-trivial. Previous training methodologies suffer from inferior adaptability and lack …