Xinyang Chen

7

Papers

11

Total Citations

Papers (7)

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

Graph Structure Learning for Spatial-Temporal Imputation: Adapting to Node and Feature Scales

Progressive Adversarial Networks for Fine-Grained Domain Adaptation

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment

Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification

Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning

Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation