| ACN: adversarial co-training network for brain tumor segmentation with missing modalities Y Wang, Y Zhang, Y Liu, Z Lin, J Tian, C Zhong, Z Shi, J Fan, Z He Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 55 | 2021 |
| Trust It or Not: Confidence-Guided Automatic Radiology Report Generation Yixin Wang, Zihao Lin, Zhe Xu, Haoyu Dong, Jie Luo, Jiang Tian, Zhongchao ... Neurocomputing, 127374, 2024 | 11* | 2024 |
| Prompt tuning based adapter for vision-language model adaption J Sun, J Qin, Z Lin, C Chen arXiv preprint arXiv:2303.15234, 2023 | 8 | 2023 |
| Efficient federated prompt tuning for black-box large pre-trained models Z Lin, Y Sun, Y Shi, X Wang, L Huang, L Shen, D Tao arXiv preprint arXiv:2310.03123, 2023 | 7 | 2023 |
| Towards more suitable personalization in federated learning via decentralized partial model training Y Shi, Y Liu, Y Sun, Z Lin, L Shen, X Wang, D Tao arXiv preprint arXiv:2305.15157, 2023 | 6 | 2023 |
| Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph Y Wang, Z Lin, H Dong Interpretable Machine Learning in Healthcare (IMLH), International …, 2023 | 2 | 2023 |
| InternalInspector : Robust Confidence Estimation in LLMs through Internal States M Beigi, Y Shen, R Yang, Z Lin, Q Wang, A Mohan, J He, M Jin, CT Lu, ... arXiv preprint arXiv:2406.12053, 2024 | | 2024 |
| Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models Z Lin, M Beigi, H Li, Y Zhou, Y Zhang, Q Wang, W Yin, L Huang Proc. The 62nd Annual Meeting of the Association for Computational …, 2024 | | 2024 |
| Enhancing Personal Decentralized Federated Learning through Model Decoupling Y Shi, Y Liu, Y Sun, Z Lin, L Shen, X Wang, D Tao | | |
Yixin WangStanford University在 stanford.edu 的电子邮件经过验证
