| 2026 | WWW | Multistage Feedback-Driven Causal Discovery from Textual Data with Large Language Models. | Juntao Yang, Dayuan Cao, Kui Yu, Xiang Wang, Jing Yang, Lin Liu, Jiuyong Li |
| 2025 | AAAI | Federated Causally Invariant Feature Learning. | Xianjie Guo, Kui Yu, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2025 | AAAI | Local Causal Discovery Without Causal Sufficiency. | Zhaolong Ling, Jiale Yu, Yiwen Zhang, Debo Cheng, Peng Zhou, Xingyu Wu, Bingbing Jiang, Kui Yu |
| 2025 | ACL | AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration. | Minjiang Huang, Jipeng Qiang, Yi Zhu, Chaowei Zhang, Xiangyu Zhao, Kui Yu |
| 2025 | CIKM | Trustworthy Knowledge Discovery and Data Mining (TrustKDD). | Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian |
| 2025 | CIKM | An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs. | Yuhong Zhang, Hangchi Song, Xiaolong Zhu, Chenyang Bu, Kui Yu |
| 2025 | ICML | Federated Causal Structure Learning with Non-identical Variable Sets. | Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang |
| 2025 | IJCAI | Hybrid Local Causal Discovery. | Zhaolong Ling, Honghui Peng, Yiwen Zhang, Debo Cheng, Xingyu Wu, Peng Zhou, Kui Yu |
| 2025 | KDD | Boosting Explainability through Selective Rationalization in Pre-trained Language Models. | Libing Yuan, Shuaibo Hu, Kui Yu, Le Wu |
| 2024 | AAAI | FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning. | Xianjie Guo, Kui Yu, Lin Liu, Jiuyong Li |
| 2024 | AAAI | Learning Robust Rationales for Model Explainability: A Guidance-Based Approach. | Shuaibo Hu, Kui Yu |
| 2024 | ICLR | Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder. | Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Kui Yu |
| 2024 | IJCAI | Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection. | Xianjie Guo, Kui Yu, Hao Wang, Lizhen Cui, Han Yu, Xiaoxiao Li |
| 2023 | IJCNN | TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion. | Jindi Li, Kui Yu, Yuling Li, Yuhong Zhang |
| 2023 | PAKDD | Knowledge-Enhanced Hierarchical Transformers for Emotion-Cause Pair Extraction. | Yuwei Wang, Yuling Li, Kui Yu, Yimin Hu |
| 2022 | AAAI | Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets. | Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang |
| 2022 | CIKM | Bootstrap-based Causal Structure Learning. | Xianjie Guo, Yujie Wang, Xiaoling Huang, Shuai Yang, Kui Yu |
| 2022 | EMNLP | Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion. | Yuling Li, Kui Yu, Xiaoling Huang, Yuhong Zhang |
| 2022 | IJCNN | Partial Multi-Label Feature Selection. | Jing Wang, Peipei Li, Kui Yu |
| 2022 | PAKDD | A New Skeleton-Neural DAG Learning Approach. | Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang |
| 2021 | DASFAA | A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks. | Xiang Wang, Xiaoyong Li, Junxing Zhu, Zichen Xu, Kaijun Ren, Weiming Zhang, Xinwang Liu, Kui Yu |
| 2020 | AAAI | Multi-Label Causal Feature Selection. | Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao |
| 2020 | ECAI | Causal Query in Observational Data with Hidden Variables. | Debo Cheng, Jiuyong Li, Lin Liu, Jixue Liu, Kui Yu, Thuc Duy Le |
| 2019 | AAAI | Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach. | Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen |
| 2015 | KDD | Tornado Forecasting with Multiple Markov Boundaries. | Kui Yu, Dawei Wang, Wei Ding, Jian Pei, David L. Small, Shafiqul Islam, Xindong Wu |
| 2014 | ICDM | Towards Scalable and Accurate Online Feature Selection for Big Data. | Kui Yu, Xindong Wu, Wei Ding, Jian Pei |
| 2013 | ICDM | Markov Blanket Feature Selection with Non-faithful Data Distributions. | Kui Yu, Xindong Wu, Zan Zhang, Yang Mu, Hao Wang, Wei Ding |
| 2013 | KDD | Towards long-lead forecasting of extreme flood events: a data mining framework for precipitation cluster precursors identification. | Dawei Wang, Wei Ding, Kui Yu, Xindong Wu, Ping Chen, David L. Small, Shafiqul Islam |
| 2012 | KDD | Mining emerging patterns by streaming feature selection. | Kui Yu, Wei Ding, Dan A. Simovici, Xindong Wu |
| 2011 | ICDM | Causal Associative Classification. | Kui Yu, Xindong Wu, Wei Ding, Hao Wang, Hongliang Yao |
| 2011 | ICNC | L1 regularized ordering for learning Bayesian network classifiers. | Ying Wang, Hao Wang, Kui Yu, Hongliang Yao |
| 2010 | ICDM | Causal Discovery from Streaming Features. | Kui Yu, Xindong Wu, Hao Wang, Wei Ding |
| 2010 | ICML | Online Streaming Feature Selection. | Xindong Wu, Kui Yu, Hao Wang, Wei Ding |
| 2007 | PAKDD | A Parallel Algorithm for Learning Bayesian Networks. | Kui Yu, Hao Wang, Xindong Wu |
| 2006 | ISMIS | Triangulation of Bayesian Networks Using an Adaptive Genetic Algorithm. | Hao Wang, Kui Yu, Xindong Wu, Hongliang Yao |