Cleaning Missing Data Based on the Bayesian Network. - Liang Duan; Kun Yue; Wenhua Qian; Weiyi Liu (WAIM Workshops, 2013)

An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. - Wenlin Xu; Kun Yue; Jin Li 007; Liang Duan; Suiye Liu; Weiyi Liu (WISE (2), 2013)

Tracing Errors in Probabilistic Databases Based on the Bayesian Network. - Liang Duan; Kun Yue; Cheqing Jin; Wenlin Xu; Weiyi Liu (DASFAA (2), 2015)

Extending Conditional Dependencies with Built-in Predicates. - Shuai Ma 001; Liang Duan; Wenfei Fan; Chunming Hu; Wenguang Chen (IEEE Trans. Knowl. Data Eng., 2015)

Scaling up Link Prediction with Ensembles. - Liang Duan; Charu C. Aggarwal; Shuai Ma 001; Renjun Hu; Jinpeng Huai (WSDM, 2016)

Ensemble Enabled Weighted PageRank. - Dongsheng Luo; Chen Gong; Renjun Hu; Liang Duan; Shuai Ma 001 (CoRR, 2016)

An Ensemble Approach to Link Prediction. - Liang Duan; Shuai Ma 001; Charu C. Aggarwal; Tiejun Ma; Jinpeng Huai (IEEE Trans. Knowl. Data Eng., 2017)

Improving Spectral Clustering with Deep Embedding and Cluster Estimation. - Liang Duan; Charu C. Aggarwal; Shuai Ma 001; Saket Sathe 001 (ICDM, 2019)

A parallel and constraint induced approach to modeling user preference from rating data. - Kun Yue; Xinran Wu; Liang Duan; Shaojie Qiao; Hao Wu 010 (Knowl. Based Syst., 2020)

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. - Jianyu Li; Kun Yue; Jie Li; Liang Duan (APWeb/WAIM (2), 2021)

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. - Jie Li; Kun Yue; Liang Duan; Jianyu Li (DASFAA (1), 2021)

Transfer learning of Bayesian network for measuring QoS of virtual machines. - Jia Hao 001; Kun Yue; Binbin Zhang; Liang Duan; Xiaodong Fu (Appl. Intell., 2021)

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes. - Jia Hao 001; Kun Yue; Liang Duan; Binbin Zhang; Xiaodong Fu (Clust. Comput., 2021)

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences. - Zhiwei Qi; Kun Yue; Liang Duan; Jiahui Wang; Shaojie Qiao; Xiaodong Fu (Expert Syst. Appl., 2021)

Improving spectral clustering with deep embedding, cluster estimation and metric learning. - Liang Duan; Shuai Ma 001; Charu Aggarwal 001; Saket Sathe 001 (Knowl. Inf. Syst., 2021)

An Approach for Domain Relation Extraction. - Jiahui Wang; Kun Yue; Liang Duan (GCCE, 2022)

Similarity Search with Graph Index on Directed Social Network Embedding. - Zhiwei Qi; Kun Yue; Liang Duan; Zhihong Liang (ICWE, 2022)

Mutual information based Bayesian graph neural network for few-shot learning. - Kaiyu Song; Kun Yue; Liang Duan; Mingze Yang; Angsheng Li (UAI, 2022)

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. - Shanna Zhong; Kun Yue; Liang Duan (WISE, 2022)

Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. - Zhiwei Qi; Kun Yue; Liang Duan; Kuang Hu; Zhihong Liang (Inf. Sci., 2022)

An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. - Jiahui Wang; Kun Yue; Liang Duan; Zhiwei Qi; Shaojie Qiao (Knowl. Based Syst., 2022)

Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. - Tong Lu; Zhiwei Qi; Kun Yue; Liang Duan (CollaborateCom (2), 2023)

Efficient Inference of Markov Logic Network for Link Prediction. - Zhongbin Li; Liang Duan; Kun Yue (GCCE, 2023)

Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. - Shanna Zhong; Jiahui Wang; Kun Yue; Liang Duan; Zhengbao Sun; Yan Fang (Data Sci. Eng., 2023)

Structural Entropy Based Graph Structure Learning for Node Classification. - Liang Duan; Xiang Chen; Wenjie Liu; Daliang Liu; Kun Yue; Angsheng Li (AAAI, 2024)

Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. - Kun Yue; Zhiwei Qi; Liang Duan (CIKM, 2024)

Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. - Fulu Kou; Lixing Yu; Kun Yue; Liang Duan; Zhongbin Li (DASFAA (5), 2024)

Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. - Gang Hu 003; Xiaoqin Zeng; Wanlong Yu; Min Peng 002; Mengting Yuan 001; Liang Duan (ESEM, 2024)

Directed Brain Network Transformer for Psychiatric Diagnosis. - Xu Zhu; Zhiwei Qi; Kun Yue; Yunshan Su; Liang Duan (ICPR (11), 2024)

Similarity search on social networks with incremental graph indexing based on probabilistic inference. - Zhiwei Qi; Tong Lu; Kun Yue; Liang Duan (Int. J. Web Inf. Syst., 2024)

Landslide Hazard Prediction Based on UAV Remote Sensing and Discrete Element Model Simulation - Case from the Zhuangguoyu Landslide in Northern China. - Guangming Li; Yu Zhang; Yuhua Zhang; Zizheng Guo; Yuanbo Liu; Xinyong Zhou; Zhanxu Guo; Wei Guo; Lihang Wan; Liang Duan; Hao Luo; Jun He (Remote. Sens., 2024)

Learning a Bayesian network with multiple latent variables for implicit relation representation. - Xinran Wu; Kun Yue; Liang Duan; Xiaodong Fu (Data Min. Knowl. Discov., 2024)

Video object detection via space-time feature aggregation and result reuse. - Liang Duan; Rongfei Yang; Kun Yue; Zhengbao Sun; Guowu Yuan (IET Image Process., 2024)

Improving Graph Contrastive Learning with Community Structure. - Xiang Chen; Kun Yue; Liang Duan; Lixing Yu (UAI, 2025)

Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. - Liang Duan; Xinran Wu; Xinhui Li; Lixing Yu; Kun Yue (UAI, 2025)

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors. - Jianyu Li; Peizhong Yang; Kun Yue; Liang Duan; Zehao Huang (J. Database Manag., 2025)

Disentangled Sparse Graph Attention Networks with Multi-Intent Fusion for Session-based Recommendation. - Yifeng Wang; Jihua Zhu; Liang Duan; Ansong Li; Jiarun Sun; Chaoyu Wang; Zhaolong Li (Knowl. Based Syst., 2025)

Partially multi-view clustering via re-alignment. - Wenbiao Yan; Jihua Zhu; Jinqian Chen; Haozhe Cheng; Shunshun Bai; Liang Duan; Qinghai Zheng (Neural Networks, 2025)