| 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 | 72 | 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 | 17* | 2024 |
| Prompt tuning based adapter for vision-language model adaption J Sun, J Qin, Z Lin, C Chen arXiv preprint arXiv:2303.15234, 2023 | 12 | 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 | 11 | 2023 |
| Mmedagent: Learning to use medical tools with multi-modal agent B Li, T Yan, Y Pan, J Luo, R Ji, J Ding, Z Xu, S Liu, H Dong, Z Lin, Y Wang EMNLP 2024, 2024 | 9 | 2024 |
| 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 | 5 | 2023 |
| 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 ACL 2024, 2024 | 4 | 2024 |
| Holistic evaluation for interleaved text-and-image generation M Liu, Z Xu, Z Lin, T Ashby, J Rimchala, J Zhang, L Huang EMNLP 2024, 2024 | 3 | 2024 |
| RoRA-VLM: Robust Retrieval-Augmented Vision Language Models J Qi, Z Xu, R Shao, Y Chen, J Di, Y Cheng, Q Wang, L Huang arXiv preprint arXiv:2410.08876, 2024 | 1 | 2024 |
| Toolbehonest: A multi-level hallucination diagnostic benchmark for tool-augmented large language models Y Zhang, J Chen, J Wang, Y Liu, C Yang, C Shi, X Zhu, Z Lin, H Wan, ... EMNLP 2024, 2024 | 1 | 2024 |
| 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, ... EMNLP 2024, 2024 | 1 | 2024 |
| Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models M Beigi, S Wang, Y Shen, Z Lin, A Kulkarni, J He, F Chen, M Jin, JH Cho, ... arXiv preprint arXiv:2410.20199, 2024 | | 2024 |
| Federated Tuning for Black Box Large Models Z Lin, Y Sun, Y Shi, X Wang, L Huang, L Shen, D Tao | | |
| 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
