| Graph Clustering Based on Structural/Attribute Similarities Y Zhou, H Cheng, JX Yu Proceedings of the VLDB Endowment (PVLDB) 2 (1), 718-729, 2009 | 1124 | 2009 |
| From distributed machine learning to federated learning: A survey J Liu, J Huang, Y Zhou, X Li, S Ji, H Xiong, D Dou Knowledge and Information Systems (KAIS) 64, 885–917, 2022 | 297 | 2022 |
| Clustering Large Attributed Graphs: An Efficient Incremental Approach Y Zhou, H Cheng, JX Yu Proceedings of the 10th IEEE International Conference on Data Mining (ICDM …, 2010 | 258 | 2010 |
| Identifying Bug Signatures Using Discriminative Graph Mining H Cheng, D Lo, Y Zhou, X Wang, X Yan Proceedings of the 18th International Symposium on Software Testing and …, 2009 | 203 | 2009 |
| Clustering Large Attributed Graphs: A Balance Between Structural and Attribute Similarities H Cheng, Y Zhou, JX Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 5 (2), 1-33, 2011 | 195 | 2011 |
| Social Influence Based Clustering of Heterogeneous Information Networks Y Zhou, L Liu Proceedings of the 19th ACM SIGKDD Conference on Knowledge Discovery and …, 2013 | 145 | 2013 |
| Diverse and informative dialogue generation with context-specific commonsense knowledge awareness S Wu, Y Li, D Zhang, Y Zhou, Z Wu Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 137 | 2020 |
| ServiceTrust: Trust Management in Service Provision Networks Z Su, L Liu, M Li, X Fan, Y Zhou Proceedings of the 10th IEEE International Conference on Services Computing …, 2013 | 62 | 2013 |
| Clustering Large Attributed Information Networks: An Efficient Incremental Computing Approach H Cheng, Y Zhou, X Huang, JX Yu Data Mining and Knowledge Discovery (DMKD) 25 (3), 450-477, 2012 | 59 | 2012 |
| TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact S Wu, Y Li, D Zhang, Y Zhou, Z Wu Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 57 | 2020 |
| Accelerated federated learning with decoupled adaptive optimization J Jin, J Ren, Y Zhou, L Lyu, J Liu, D Dou International Conference on Machine Learning, 10298-10322, 2022 | 55 | 2022 |
| Ranking Services by Service Network Structure and Service Attributes Y Zhou, L Liu, CS Perng, A Sailer, I Silva-Lepe, Z Su Proceedings of the 20th IEEE International Conference on Web Services (ICWS …, 2013 | 53 | 2013 |
| Anonymizing Continuous Queries with Delay-tolerant Mix-zones over Road Networks B Palanisamy, L Liu, K Lee, S Meng, Y Tang, Y Zhou Distributed and Parallel Databases (DAPD) 32 (1), 91-118, 2014 | 52 | 2014 |
| Federated learning of large language models with parameter-efficient prompt tuning and adaptive optimization T Che, J Liu, Y Zhou, J Ren, J Zhou, VS Sheng, H Dai, D Dou Conference on Empirical Methods in Natural Language Processing (EMNLP), 7871 …, 2023 | 50 | 2023 |
| Fast federated machine unlearning with nonlinear functional theory T Che, Y Zhou, Z Zhang, L Lyu, J Liu, D Yan, D Dou, J Huan International Conference on Machine Learning (ICML), 4241-4268, 2023 | 50 | 2023 |
| Fedduap: Federated learning with dynamic update and adaptive pruning using shared data on the server H Zhang, J Liu, J Jia, Y Zhou, H Dai, D Dou arXiv preprint arXiv:2204.11536, 2022 | 50 | 2022 |
| Reliable and Resilient Trust Management in Distributed Service Provision Networks Z Su, L Liu, M Li, X Fan, Y Zhou ACM Transactions on the Web (TWEB) 9 (3), 1-37, 2015 | 49 | 2015 |
| Activity-edge Centric Multi-label Classification for Mining Heterogeneous Information Networks Y Zhou, L Liu Proceedings of the 20th ACM SIGKDD Conference on Knowledge Discovery and …, 2014 | 48 | 2014 |
| Efficient and Customizable Data Partitioning Framework for Distributed Big RDF Data Processing in the Cloud K Lee, L Liu, Y Tang, Q Zhang, Y Zhou Proceedings of the 2013 IEEE International Conference on Cloud Computing …, 2013 | 47 | 2013 |
| Adversarial Attacks on Deep Graph Matching Z Zhang, Z Zhang, Y Zhou, Y Shen, R Jin, D Dou Advances in Neural Information Processing Systems (NeurIPS) 33, 2020 | 43 | 2020 |
Dejing Dou (窦德景）Distinguished Professor, Fudan University/Chief Scientist, BEDI CloudVerified email at cs.uoregon.edu
