| Multi-target Backdoor Attacks for Code Pre-trained Models Y Li, S Liu, K Chen, X Xie, T Zhang, Y Liu The 61st Annual Meeting of the Association for Computational Linguistics., 2023 | 17 | 2023 |
| Commitbart: A large pre-trained model for github commits S Liu, Y Li, X Xie, Y Liu arXiv preprint arXiv:2208.08100, 2022 | 13 | 2022 |
| TAG: Joint triple-hierarchical attention and GCN for review-based social recommender system P Qiao, Z Zhang, Z Li, Y Zhang, K Bian, Y Li, G Wang IEEE Transactions on Knowledge and Data Engineering, 2022 | 7 | 2022 |
| BadEdit: Backdooring large language models by model editing Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu arXiv preprint arXiv:2403.13355, 2024 | 1 | 2024 |
| Unveiling project-specific bias in neural code models Z Li, Y Li, T Li, M Du, B Wu, Y Cao, J Jiang, Y Liu arXiv preprint arXiv:2201.07381, 2022 | 1 | 2022 |
| An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding W Wang, Y Li, A Li, J Zhang, W Ma, Y Liu arXiv preprint arXiv:2307.08990, 2023 | | 2023 |
| Learning Multiple Temporal Relational Network Embeddings via Graph Convolutional Network K Xiao, P Zhao, Y Zhang, Y Li, K Bian, W Yan 2019 IEEE Global Communications Conference (GLOBECOM), 1-6, 2019 | | 2019 |
