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Lianyu Wang
Lianyu Wang
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Lianyu Wang

Research Fellow

Biography

Lianyu Wang (https://lywang12.github.io/Homepage/) is a Research Fellow at PAI Lab, National University of Singapore (NUS), under the supervision of Prof. Ching-Yu Cheng. She finished her PhD at the School of Software, Nanjing University of Aeronautics and Astronautics (Nanjing, China), supervised by Prof. Daoqiang Zhang (https://faculty.nuaa.edu.cn/zdq1/zh_CN/index.htm) and co-supervised by Prof. Huazhu Fu (https://hzfu.github.io/). Her research lies at the intersection of computer vision and medical imaging, with a focus on developing autonomous medical agents and advancing active defense mechanisms for model intellectual property protection.

Research/ Education Experience

  • 03/2026-now Research Fellow, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
  • 09/2022-03/2026 Ph.D, Nanjing University of Aeronautics and Astronautics, Nanjing, China
  • 09/2019-06/2022 M.S., Soochow University, Suzhou, China

Selected Publications

Journal:

  1. Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang. Say No to Freeloader: Protecting Intellectual Property of Your Deep Model. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024, 46(12): 11073-11086.
  2. Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu. Unsupervised domain adaptation via style-aware self-intermediate domain. Pattern Recognition, 2025, 172: 112344.
  3. Meng Wang, Tian Lin, Lianyu Wang, et al. Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification. Nature Communications, 2023, 14(1): 6757. (Co-First Author)
  4. Yingli Zuo, Lianyu Wang, Jianxin Liu, Shichang Feng, Yuling Wang, Qi Zhu, Daoqiang Zhang. TAFL: Task-Agnostic Feature Learner for Efficient Adaptation to Unseen Clinical Tasks based on Whole-Slide Histopathological Images. IEEE Transactions on Medical Imaging (TMI), 2025 (Co-First Author).

Conference:

  1. Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang. Authorize-on-Demand: Dynamic Authorization with Legality-Aware Intellectual Property Protection for VLMs. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), 2026: 6621-6630.
  2. Lianyu Wang, Meng Wang, Huazhu Fu, Daoqiang Zhang. Vision-Language Model IP Protection via Prompt-based Learning. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), 2025: 9497-9506.
  3. Lianyu Wang, Meng Wang, Daoqiang Zhang, Huazhu Fu. Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023: 20475-20484.
  4. Meng Wang, Lianyu Wang, Xinxing Xu, Ke Zou, Yiming Qian, Rick Siow Mong Goh, Yong Liu, Huazhu Fu. Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging. Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), 2023: 222-232. (Co-First Author)
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