Zenglin Xu

ENHANCING MULTIVARIATE TIME SERIES FORECAST- ING WITH MUTUAL INFORMATION-DRIVEN CROSS- VARIABLE AND TEMPORAL MODELING

Less is More: On the Feature Redundancy of Pretrained Models When Transferring to Few-shot Tasks

Revisiting Long-term Time Series Forecasting: An Investigation on Affine Mapping

Fully Identical Initialization

Rethinking Self-Supervise Learning: An Instance-wise Similarity Perspective

Federated Generalization via Information-Theoretic Distribution Diversification

Exploring Federated Optimization by Reducing Variance of Adaptive Unbiased Client Sampling