3 papers
cs.LG2025
R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models
Tianyi Yin, Jingwei Wang, Chenze Wang +7
Pre-trained models have demonstrated exceptional generalization capabilities in time-series forecasting; however, adapting them to evolving data distributions remains a significant…
cs.LG2025
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
Qiyi Wang, Yinning Shao, Yunlong Ma +1
Graph neural architecture search (GraphNAS) has demonstrated advantages in mitigating performance degradation of graph neural networks (GNNs) due to distribution shifts. Recent app…
cs.LG2024
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma +6
Encoding time series into tokens and using language models for processing has been shown to substantially augment the models' ability to generalize to unseen tasks. However, existi…