| Deep autoencoding gaussian mixture model for unsupervised anomaly detection. B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen | 2289 | 2018 |
| Mining summaries for knowledge graph search Q Song, Y Wu, P Lin, LX Dong, H Sun IEEE Transactions on Knowledge and Data Engineering 30 (10), 1887-1900, 2018 | 142 | 2018 |
| A radiomics-based nomogram for the preoperative prediction of posthepatectomy liver failure in patients with hepatocellular carcinoma W Cai, B He, M Hu, W Zhang, D Xiao, H Yu, Q Song, N Xiang, J Yang, ... Surgical oncology 28, 78-85, 2019 | 62 | 2019 |
| Discovering graph temporal association rules MH Namaki, Y Wu, Q Song, P Lin, T Ge Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 59 | 2017 |
| Fact checking in knowledge graphs with ontological subgraph patterns P Lin, Q Song, Y Wu Data Science and Engineering 3 (4), 341-358, 2018 | 42 | 2018 |
| Answering Why-Questions for Subgraph Queries in Multi-Attributed Graphs Q Song, MH Namaki, Y Wu IEEE International Conference on Data Engineering, 2019 | 28 | 2019 |
| Discovering graph patterns for fact checking in knowledge graphs P Lin, Q Song, J Shen, Y Wu International Conference on Database Systems for Advanced Applications, 783-801, 2018 | 27 | 2018 |
| Density estimation network for unsupervised anomaly detection B Zong, CHO Daeki, C Lumezanu, H Chen, Q Song US Patent 10,999,247, 2021 | 26 | 2021 |
| Answering why-questions by exemplars in attributed graphs MH Namaki, Q Song, Y Wu, S Yang Proceedings of the 2019 International Conference on Management of Data, 1481 …, 2019 | 24 | 2019 |
| Discovering patterns for fact checking in knowledge graphs P Lin, Q Song, Y Wu, J Pi Journal of Data and Information Quality (JDIQ) 11 (3), 1-27, 2019 | 23 | 2019 |
| TGNet: Learning to rank nodes in temporal graphs Q Song, B Zong, Y Wu, LA Tang, H Zhang, G Jiang, H Chen Proceedings of the 27th ACM International Conference on Information and …, 2018 | 14 | 2018 |
| Repairing entities using star constraints in multirelational graphs P Lin, Q Song, Y Wu, J Pi 2020 IEEE 36th International Conference on Data Engineering (ICDE), 229-240, 2020 | 8 | 2020 |
| Nslpa: A node similarity based label propagation algorithm for real-time community detection Q Song, B Li, W Yu, J Li, B Shi 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing …, 2014 | 8 | 2014 |
| Explaining missing data in graphs: A constraint-based approach Q Song, P Lin, H Ma, Y Wu 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1476-1487, 2021 | 7 | 2021 |
| Answering Why-Questions for Subgraph Queries Q Song, MH Namaki, P Lin, Y Wu IEEE Transactions on Knowledge and Data Engineering 34 (10), 4636-4649, 2022 | 6 | 2022 |
| Navigate: Explainable visual graph exploration by examples MH Namaki, Q Song, Y Wu Proceedings of the 2019 International Conference on Management of Data, 1965 …, 2019 | 5 | 2019 |
| iScreen: A Merged Screen of Local System with Remote Applications in a Mobile Cloud Environment J Li, Q Song, W Yu, C Hu, J Kang 2013 IEEE Seventh International Symposium on Service-Oriented System …, 2013 | 4 | 2013 |
| Efficient Deep Ensemble Inference via Query Difficulty-dependent Task Scheduling Z Li, L Zhang, M Yuan, M Song, Q Song 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1005-1018, 2023 | 2 | 2023 |
| CoTel: Ontology-Neural Co-Enhanced Text Labeling MH Song, L Zhang, M Yuan, Z Li, Q Song, Y Liu, G Zheng Proceedings of the ACM Web Conference 2023, 1897-1906, 2023 | 1 | 2023 |
| Fair Group Summarization with Graph Patterns H Ma, S Guan, M Wang, Q Song, Y Wu 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1982-1994, 2023 | 1 | 2023 |
Yinghui WuCase Western Reserve UniversityVahvistettu sähköpostiosoite verkkotunnuksessa case.edu