Yu, Kui

14 publications

NeurIPS 2025 Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization Fuyuan Cao, Shichang Qiao, Kui Yu, Jiye Liang

ICML 2025 Federated Causal Structure Learning with Non-Identical Variable Sets Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

AAAI 2025 Federated Causally Invariant Feature Learning Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li

IJCAI 2025 Hybrid Local Causal Discovery Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu

AAAI 2025 Local Causal Discovery Without Causal Sufficiency Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu

ICLR 2024 Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu

NeurIPSW 2024 Enhancing Causal Discovery in Federated Settings with Limited Local Samples Xianjie Guo, Liping Yi, Xiaohu Wu, Kui Yu, Gang Wang

AAAI 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li

AAAI 2024 Learning Robust Rationales for Model Explainability: A Guidance-Based Approach Shuaibo Hu, Kui Yu

IJCAI 2024 Sample Quality Heterogeneity-Aware Federated Causal Discovery Through Adaptive Variable Space Selection Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li

AAAI 2022 Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

AAAI 2020 Multi-Label Causal Feature Selection Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao

AAAI 2019 Joint Semi-Supervised Feature Selection and Classification Through Bayesian Approach Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen

ICML 2010 Online Streaming Feature Selection Xindong Wu, Kui Yu, Hao Wang, Wei Ding