| 2025 | ICASSP | FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning. | Guohui Li, Lu Zhang, Qian Rong, Xuanang Ding, Ling Yuan |
| 2025 | ICASSP | KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models. | Bo Lv, Quan Zhou, Xuanang Ding, Yan Wang, Zeming Ma |
| 2024 | APWEB | Noisy Label Learning Based on Weighted Neighborhood Consistency. | Qian Rong, Lu Zhang, Ling Yuan, Xuanang Ding, Guohui Li |
| 2024 | CIKM | EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering. | Lu Zhang, Qian Rong, Xuanang Ding, Guohui Li, Ling Yuan |
| 2024 | ICASSP | Towards Resource-Efficient and Secure Federated Multimedia Recommendation. | Guohui Li, Xuanang Ding, Ling Yuan, Lu Zhang, Qian Rong |
| 2023 | DASFAA | Combining Autoencoder with Adaptive Differential Privacy for Federated Collaborative Filtering. | Xuanang Ding, Guohui Li, Ling Yuan, Lu Zhang, Qian Rong |
| 2023 | DASFAA | A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise. | Qian Rong, Ling Yuan, Guohui Li, Jianjun Li, Lu Zhang, Xuanang Ding |