| An ensemble approach to link prediction L Duan, S Ma, C Aggarwal, T Ma, J Huai IEEE Transactions on Knowledge and Data Engineering 29 (11), 2402-2416, 2017 | 66 | 2017 |
| Improving spectral clustering with deep embedding and cluster estimation L Duan, C Aggarwal, S Ma, S Sathe 2019 IEEE International Conference on Data Mining (ICDM), 170-179, 2019 | 28 | 2019 |
| Scaling up link prediction with ensembles L Duan, C Aggarwal, S Ma, R Hu, J Huai Proceedings of the Ninth ACM International Conference on Web Search and Data …, 2016 | 27 | 2016 |
| Improving spectral clustering with deep embedding, cluster estimation and metric learning L Duan, S Ma, C Aggarwal, S Sathe Knowledge and Information Systems 63, 675-694, 2021 | 16 | 2021 |
| Models and techniques for domain relation extraction: a survey J Wang, K Yue, L Duan Journal of Data Science and Intelligent Systems 1 (2), 65-82, 2023 | 15 | 2023 |
| Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables Z Qi, K Yue, L Duan, K Hu, Z Liang Information Sciences 590, 198-216, 2022 | 12 | 2022 |
| Transfer learning of bayesian network for measuring qos of virtual machines J Hao, K Yue, B Zhang, L Duan, X Fu Applied Intelligence 51, 8641-8660, 2021 | 12 | 2021 |
| Ensemble enabled weighted PageRank D Luo, C Gong, R Hu, L Duan, S Ma arXiv preprint arXiv:1604.05462, 2016 | 12 | 2016 |
| Matrix factorization based Bayesian network embedding for efficient probabilistic inferences Z Qi, K Yue, L Duan, J Wang, S Qiao, X Fu Expert Systems with Applications 169, 114294, 2021 | 8 | 2021 |
| Extending conditional dependencies with built-in predicates S Ma, L Duan, W Fan, C Hu, W Chen IEEE Transactions on Knowledge and Data Engineering 27 (12), 3274-3288, 2015 | 8 | 2015 |
| An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding J Wang, K Yue, L Duan, Z Qi, S Qiao Knowledge-Based Systems 239, 107996, 2022 | 6 | 2022 |
| Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes J Hao, K Yue, L Duan, B Zhang, X Fu Cluster Computing 24, 1165-1184, 2021 | 6 | 2021 |
| A probabilistic inference based approach for querying associative entities in knowledge graph JY Li, K Yue, J Li, L Duan Web and Big Data: 5th International Joint Conference, APWeb-WAIM 2021 …, 2021 | 6 | 2021 |
| A parallel and constraint induced approach to modeling user preference from rating data K Yue, X Wu, L Duan, S Qiao, H Wu Knowledge-Based Systems 204, 106206, 2020 | 5 | 2020 |
| Tracing errors in probabilistic databases based on the Bayesian network L Duan, K Yue, C Jin, W Xu, W Liu Database Systems for Advanced Applications: 20th International Conference …, 2015 | 4 | 2015 |
| Few-shot relation prediction of knowledge graph via convolutional neural network with self-attention S Zhong, J Wang, K Yue, L Duan, Z Sun, Y Fang Data Science and Engineering 8 (4), 385-395, 2023 | 3 | 2023 |
| Similarity search with graph index on directed social network embedding Z Qi, K Yue, L Duan, Z Liang International Conference on Web Engineering, 82-97, 2022 | 3 | 2022 |
| Cleaning Missing Data Based on the Bayesian Network L Duan, K Yue, W Qian, W Liu Web-Age Information Management: WAIM 2013 International Workshops: HardBD …, 2013 | 3 | 2013 |
| Attention-based relation prediction of knowledge graph by incorporating graph and context features S Zhong, K Yue, L Duan International Conference on Web Information Systems Engineering, 259-273, 2022 | 2 | 2022 |
| Mutual information based Bayesian graph neural network for few-shot learning K Song, K Yue, L Duan, M Yang, A Li Uncertainty in Artificial Intelligence, 1866-1875, 2022 | 2 | 2022 |
