| 2026 | AAAI | Dual-Kernel Graph Community Contrastive Learning. | Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan |
| 2025 | CIKM | Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. | Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan |
| 2025 | CIKM | GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning. | Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li |
| 2025 | DASFAA | Structural Entropy Based Spatio-Temporal Sequence Forecasting. | Daliang Liu, Kun Yue, Wenjie Liu, Xiang Chen, Liang Duan |
| 2025 | ICDM | Efficient Cardinality Estimation with Query-induced Probability Inference. | Huashuai Liu, Xinran Wu, Kun Yue, Bingbing Xiang, Liang Duan |
| 2025 | ICDM | Hierarchical Structure Enhanced Graph Representation for Link Prediction. | Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan |
| 2025 | ICDM | Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention. | Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan |
| 2025 | IJCAI | Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. | Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li |
| 2025 | UAI | Improving Graph Contrastive Learning with Community Structure. | Xiang Chen, Kun Yue, Liang Duan, Lixing Yu |
| 2025 | UAI | Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. | Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue |
| 2024 | AAAI | Structural Entropy Based Graph Structure Learning for Node Classification. | Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li |
| 2024 | CIKM | Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. | Kun Yue, Zhiwei Qi, Liang Duan |
| 2024 | DASFAA | Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. | Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li |
| 2024 | ESEM | Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. | Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan |
| 2024 | ICPR | Directed Brain Network Transformer for Psychiatric Diagnosis. | Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan |
| 2022 | ICWE | Similarity Search with Graph Index on Directed Social Network Embedding. | Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang |
| 2022 | UAI | Mutual information based Bayesian graph neural network for few-shot learning. | Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li |
| 2022 | WISE | Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. | Shanna Zhong, Kun Yue, Liang Duan |
| 2021 | APWEB | A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. | Jianyu Li, Kun Yue, Jie Li, Liang Duan |
| 2021 | DASFAA | Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. | Jie Li, Kun Yue, Liang Duan, Jianyu Li |
| 2019 | ICDM | Improving Spectral Clustering with Deep Embedding and Cluster Estimation. | Liang Duan, Charu C. Aggarwal, Shuai Ma, Saket Sathe |
| 2016 | WSDM | Scaling up Link Prediction with Ensembles. | Liang Duan, Charu C. Aggarwal, Shuai Ma, Renjun Hu, Jinpeng Huai |
| 2015 | DASFAA | Tracing Errors in Probabilistic Databases Based on the Bayesian Network. | Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu |
| 2013 | WISE | An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. | Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu |