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
80 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
22 * 2024 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
17 2024 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
15 2023 Prompt tuning based adapter for vision-language model adaption J Sun, J Qin, Z Lin, C Chen
arXiv preprint arXiv:2303.15234, 2023
14 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
7 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 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
4 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
ACL 2024, 2024
4 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
2 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 InternalInspector M Beigi, Y Shen, R Yang, Z Lin, Q Wang, A Mohan, J He, M Jin, CT Lu, ...
EMNLP 2024, 2024
1 2024 Knowing When to Stop: Dynamic Context Cutoff for Large Language Models R Xie, J Wang, P Rosu, C Deng, B Sun, Z Lin, B Dhingra
arXiv preprint arXiv:2502.01025, 2025
2025 Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents Z Lin, Z Wang, Y Pan, V Manjunatha, R Rossi, A Lau, L Huang, T Sun
arXiv preprint arXiv:2412.12445, 2024
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 UniversityEmail yang diverifikasi di stanford.edu
