| Optimization of deep learning models for the prediction of gene mutations using unsupervised clustering Z Chen, X Li, M Yang, H Zhang, XS Xu The Journal of Pathology: Clinical Research 9 (1), 3-17, 2023 | 20 | 2023 |
| Efficient prompt optimization through the lens of best arm identification C Shi, K Yang, Z Chen, J Li, J Yang, C Shen The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 11* | 2024 |
| Safety in Graph Machine Learning: Threats and Safeguards S Wang, Y Dong, B Zhang, Z Chen, X Fu, Y He, C Shen, C Zhang, ... arXiv preprint arXiv:2405.11034, 2024 | 9 | 2024 |
| Personalized Federated Learning with Attention-Based Client Selection Z Chen, J Li, C Shen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| Federated graph learning with structure proxy alignment X Fu, Z Chen, B Zhang, C Chen, J Li Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 3 | 2024 |
| Verification of machine unlearning is fragile B Zhang, Z Chen, C Shen, J Li arXiv preprint arXiv:2408.00929, 2024 | 3 | 2024 |
| Channel-wise mixed-precision quantization for large language models Z Chen, B Xie, J Li, C Shen arXiv preprint arXiv:2410.13056, 2024 | 1 | 2024 |
| FastGAS: Fast Graph-based Annotation Selection for In-Context Learning Z Chen, S Wang, C Shen, J Li arXiv preprint arXiv:2406.03730, 2024 | 1 | 2024 |
| Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning X Fu, Z Chen, Y He, S Wang, B Zhang, C Chen, J Li arXiv preprint arXiv:2412.19229, 2024 | | 2024 |
| Mixture of Demonstrations for In-Context Learning S Wang, Z Chen, C Shi, C Shen, J Li The Thirty-eighth Annual Conference on Neural Information Processing Systems, 0 | | |
