3 papers
cs.LG2026
Causal Semantic Alignment for LLM-based Time Series Forecasting
Kexuan Zhang, Xiaobei Zou, Cesare Alippi +2
Recent advances in Large Language Models (LLMs) have opened new possibilities for time series forecasting by enabling alignment between temporal patterns and pretrained word embedd…
cs.LG2026
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
Xiaobei Zou, Luolin Xiong, Kexuan Zhang +2
Accurate predictions of spatio-temporal systems are crucial for tasks such as system management, control, and crisis prevention. However, the inherent time variance of many spatio-…
cs.LG2025
Causal Learning for Heterogeneous Subgroups Based on Nonlinear Causal Kernel Clustering
Lu Liu, Yang Tang, Kexuan Zhang +1
Due to the challenge posed by multi-source and heterogeneous data collected from diverse environments, causal relationships among features can exhibit variations influenced by diff…