From the 1 of 5 linked papers with an AI index.
5 papers
CDFM: Towards a General-Purpose Causal Discovery Foundation Model
Jie Qiao, Ruichu Cai, Zijian Li +6
The paper proposes CDFM, a foundation model trained on synthetic causal graphs that can infer causal structures in a zero‑shot manner across diverse domains, using a variational fr…
Efficient Traffic State Prediction With Dynamic Joint Spatio-Temporal Relation Inference
Zhifeng Hao, Kai Hu, Juncai Zhang +2
Traffic prediction is difficult due to the complex interplay of temporal evolution, spatial interactions, and delayed spatio-temporal propagation over road networks. Existing metho…
HateDebias: On the Diversity and Variability of Hate Speech Debiasing
Hongyan Wu, Zhengming Chen, Zijian Li +4
Hate speech frequently appears on social media platforms and urgently needs to be effectively controlled. Alleviating the bias caused by hate speech can help resolve various ethica…
Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
Ruichu Cai, Kaitao Zheng, Junxian Huang +4
Time series imputation is one of the most challenge problems and has broad applications in various fields like health care and the Internet of Things. Existing methods mainly aim t…
Nonstationary Time Series Forecasting via Unknown Distribution Adaptation
Zijian Li, Ruichu Cai, Zhenhui Yang +6
As environments evolve, temporal distribution shifts can degrade time series forecasting performance. A straightforward solution is to adapt to nonstationary changes while preservi…