CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization
- Naiyu Yin
- Hanjing Wang
- et al.
- 2026
- CVPR 2026
Conference paper
Publications
11 results for Yue Yu
Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data
- Tian Gao
- Songtao Lu
- et al.
- 2025
- NeurIPS 2025
Conference paperNonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
- Yue Yu
- Ning Liu
- et al.
- 2024
- NeurIPS 2024
Conference paperCausal Markov Blanket Representation Learning for Domain Generalization Prediction
- Naiyu Yin
- Hanjing Wang
- et al.
- 2024
- ECCV 2024
Conference paperEffective Causal Discovery under Identifiable Heteroscedastic Noise Model
- Naiyu Yin
- Tian Gao
- et al.
- 2024
- AAAI 2024
Conference paperMetaNO: How to transfer your knowledge on learning hidden physics
- Lu Zhang
- Huaiqian You
- et al.
- 2023
- Comput. Methods Appl. Mech. Eng.
PaperNonlocal kernel network (NKN): A stable and resolution-independent deep neural network
- Huaiqian You
- Yue Yu
- et al.
- 2022
- Journal of Computational Physics
PaperIDYNO: Learning Nonparametric DAGs from Interventional Dynamic Data
- Tian Gao
- Debarun Bhattacharjya
- et al.
- 2022
- ICML 2022
Conference paperMCMH: Learning Multi-Chain Multi-Hop Rules for Knowledge Graph Reasoning
- Lu Zhang
- Mo Yu
- et al.
- 2020
- EMNLP 2020
PaperDAG-GNN: DAG structure learning with graph neural networks
- Yue Yu
- Jie Chen
- et al.
- 2019
- ICML 2019
Conference paper