3 papers
cs.AI2026
SAT: Balancing Reasoning Accuracy and Efficiency with Stepwise Adaptive Thinking
Weiyang Huang, Xuefeng Bai, Kehai Chen +4
Large Reasoning Models (LRMs) have revolutionized complex problem-solving, yet they exhibit a pervasive "overthinking", generating unnecessarily long reasoning chains. While curren…
cs.LG2025
STransformer: Scalable Structured Transformers for Global Station Weather Forecasting
Hongyi Chen, Xiucheng Li, Xinyang Chen +4
Global Station Weather Forecasting (GSWF) is a key meteorological research area, critical to energy, aviation, and agriculture. Existing time series forecasting methods often ignor…
cs.LG2025
Towards Scalable and Structured Spatiotemporal Forecasting
Hongyi Chen, Xiucheng Li, Xinyang Chen +3
In this paper, we propose a novel Spatial Balance Attention block for spatiotemporal forecasting. To strike a balance between obeying spatial proximity and capturing global correla…