| Towards personalized federated learning AZ Tan, H Yu, L Cui, Q Yang IEEE transactions on neural networks and learning systems 34 (12), 9587-9603, 2022 | 824 | 2022 |
| Self-supervised hypergraph convolutional networks for session-based recommendation X Xia, H Yin, J Yu, Q Wang, L Cui, X Zhang Proceedings of the AAAI conference on artificial intelligence 35 (5), 4503-4511, 2021 | 492 | 2021 |
| Are graph augmentations necessary? simple graph contrastive learning for recommendation J Yu, H Yin, X Xia, T Chen, L Cui, QVH Nguyen Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 474 | 2022 |
| Attacks which do not kill training make adversarial learning stronger J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli International conference on machine learning, 11278-11287, 2020 | 439 | 2020 |
| A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing M Xu, L Cui, H Wang, Y Bi 2009 IEEE international symposium on parallel and distributed processing …, 2009 | 346 | 2009 |
| Robust detection for network intrusion of industrial IoT based on multi-CNN fusion Y Li, Y Xu, Z Liu, H Hou, Y Zheng, Y Xin, Y Zhao, L Cui Measurement 154, 107450, 2020 | 276 | 2020 |
| Gcn-based user representation learning for unifying robust recommendation and fraudster detection S Zhang, H Yin, T Chen, QVN Hung, Z Huang, L Cui Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 183 | 2020 |
| Self-supervised graph co-training for session-based recommendation X Xia, H Yin, J Yu, Y Shao, L Cui Proceedings of the 30th ACM international conference on information …, 2021 | 174 | 2021 |
| Enhancing social recommendation with adversarial graph convolutional networks J Yu, H Yin, J Li, M Gao, Z Huang, L Cui IEEE Transactions on knowledge and data engineering 34 (8), 3727-3739, 2020 | 170 | 2020 |
| Enhancing collaborative filtering with generative augmentation Q Wang, H Yin, H Wang, QVH Nguyen, Z Huang, L Cui Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 130 | 2019 |
| A category-aware deep model for successive POI recommendation on sparse check-in data F Yu, L Cui, W Guo, X Lu, Q Li, H Lu Proceedings of the web conference 2020, 1264-1274, 2020 | 129 | 2020 |
| Gtg-shapley: Efficient and accurate participant contribution evaluation in federated learning Z Liu, Y Chen, H Yu, Y Liu, L Cui ACM Transactions on intelligent Systems and Technology (TIST) 13 (4), 1-21, 2022 | 126 | 2022 |
| XSimGCL: Towards extremely simple graph contrastive learning for recommendation J Yu, X Xia, T Chen, L Cui, NQV Hung, H Yin IEEE Transactions on Knowledge and Data Engineering 36 (2), 913-926, 2023 | 121 | 2023 |
| A highly practical approach toward achieving minimum data sets storage cost in the cloud D Yuan, Y Yang, X Liu, W Li, L Cui, M Xu, J Chen IEEE Transactions on Parallel and Distributed Systems 24 (6), 1234-1244, 2013 | 105 | 2013 |
| BDANN: BERT-based domain adaptation neural network for multi-modal fake news detection T Zhang, D Wang, H Chen, Z Zeng, W Guo, C Miao, L Cui 2020 international joint conference on neural networks (IJCNN), 1-8, 2020 | 103 | 2020 |
| Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework L Wei, W He, A Malik, R Su, L Cui, B Manavalan Briefings in Bioinformatics 22 (4), bbaa275, 2021 | 96 | 2021 |
| Graph embedding for recommendation against attribute inference attacks S Zhang, H Yin, T Chen, Z Huang, L Cui, X Zhang Proceedings of the Web Conference 2021, 3002-3014, 2021 | 92 | 2021 |
| A genetic algorithm based data replica placement strategy for scientific applications in clouds L Cui, J Zhang, L Yue, Y Shi, H Li, D Yuan IEEE Transactions on Services Computing 11 (4), 727-739, 2015 | 89 | 2015 |
| Pipattack: Poisoning federated recommender systems for manipulating item promotion S Zhang, H Yin, T Chen, Z Huang, QVH Nguyen, L Cui Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 85 | 2022 |
| Disease prediction via graph neural networks Z Sun, H Yin, H Chen, T Chen, L Cui, F Yang IEEE Journal of Biomedical and Health Informatics 25 (3), 818-826, 2020 | 83 | 2020 |
