Liang Duan

Improving Spectral Clustering with Deep Embedding and Cluster Estimation

Shuai Ma, Charu Aggarwal, Liang Duan, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes

Jia Hao, Binbin Zhang, Xiaodong Fu, 2020, Cluster Computing.

A parallel and constraint induced approach to modeling user preference from rating data

Hao Wu, Shaojie Qiao, Xinran Wu, 2020, Knowl. Based Syst..

Improving spectral clustering with deep embedding, cluster estimation and metric learning

Charu C. Aggarwal, Shuai Ma, Liang Duan, 2020, Knowledge and Information Systems.

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences

Zhiwei Qi, Shaojie Qiao, Xiaodong Fu, 2021, Expert Syst. Appl..

Transfer learning of Bayesian network for measuring QoS of virtual machines

Binbin Zhang, Kun Yue, Xiaodong Fu, 2021, Applied Intelligence.

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns

Kun Yue, Liang Duan, Jie Li, 2021, DASFAA.

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph

Liang Duan, Jie Li, Jianyu Li, 2021, APWeb/WAIM.