MLP4Rec: A Pure MLP Architecture for Sequential Recommendations M Li, X Zhao, C Lyu, M Zhao, R Wu, R Guo IJCAI 2022, 2138-2144, 2022 | 49 | 2022 |
Automlp: Automated mlp for sequential recommendations M Li, Z Zhang, X Zhao, W Wang, M Zhao, R Wu, R Guo Proceedings of the ACM Web Conference 2023, 1190-1198, 2023 | 23 | 2023 |
Mmmlp: Multi-modal multilayer perceptron for sequential recommendations J Liang, X Zhao, M Li, Z Zhang, W Wang, H Liu, Z Liu Proceedings of the ACM Web Conference 2023, 1109-1117, 2023 | 19 | 2023 |
InstanT: Semi-supervised learning with instance-dependent thresholds M Li, R Wu, H Liu, J Yu, X Yang, B Han, T Liu Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 10 | 2023 |
Mae4rec: Storage-saving transformer for sequential recommendations K Zhao, X Zhao, Z Zhang, M Li Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
Winning prize comes from losing tickets: Improve invariant learning by exploring variant parameters for out-of-distribution generalization Z Huang, M Li, L Shen, J Yu, C Gong, B Han, T Liu International Journal of Computer Vision, 1-19, 2024 | 5 | 2024 |
Mitigating the performance sacrifice in DP-satisfied federated settings through graph contrastive learning H Yang, X Zhao, M Li, H Chen, G Xu Information Sciences 648, 119552, 2023 | 2 | 2023 |
Towards Realistic Model Selection for Semi-supervised Learning M Li, X Xia, R Wu, F Huang, J Yu, B Han, T Liu Forty-first International Conference on Machine Learning, 0 | | |