| Efficient federated item similarity model for privacy-preserving recommendation X Ding, G Li, L Yuan, L Zhang, Q Rong Information Processing & Management 60 (5), 103470, 2023 | 12 | 2023 |
| Combining autoencoder with adaptive differential privacy for federated collaborative filtering X Ding, G Li, L Yuan, L Zhang, Q Rong International Conference on Database Systems for Advanced Applications, 661-676, 2023 | 6 | 2023 |
| HN3S: A federated autoencoder framework for collaborative filtering via hybrid negative sampling and secret sharing L Zhang, G Li, L Yuan, X Ding, Q Rong Information Processing & Management 61 (2), 103580, 2024 | 4 | 2024 |
| A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise Q Rong, L Yuan, G Li, J Li, L Zhang, X Ding International Conference on Database Systems for Advanced Applications, 735-744, 2023 | 1 | 2023 |
| EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering L Zhang, Q Rong, X Ding, G Li, L Yuan Proceedings of the 33rd ACM International Conference on Information and …, 2024 | | 2024 |
| KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models B Lv, Q Zhou, X Ding, Y Wang, Z Ma arXiv preprint arXiv:2409.11057, 2024 | | 2024 |
| Noisy Label Learning Based on Weighted Neighborhood Consistency Q Rong, L Zhang, L Yuan, X Ding, G Li Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint …, 2024 | | 2024 |
| Towards Resource-Efficient and Secure Federated Multimedia Recommendation G Li, X Ding, L Yuan, L Zhang, Q Rong ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
