publications

Published lead-author papers, followed by preprints.

2026

  1. MICCAI
    ducx_2026.png
    DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents
    Z. Xu*, Ruinan Jin*, and Xiaoxiao Li
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2026
    Oral; early acceptance rate 9%
  2. TNNLS
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    Forgettable Federated Linear Learning with Certified Data Unlearning
    Ruinan Jin, M. Chen, Q. Zhang, and 1 more author
    IEEE Transactions on Neural Networks and Learning Systems, 2026

2024

  1. NeurIPS
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    FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models
    Ruinan Jin*, Z. Xu*, Y. Zhong*, and 4 more authors
    In Advances in Neural Information Processing Systems, 2024
    Acceptance rate 25.8%
  2. MICCAI
    DNE.png
    Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
    Ruinan Jin, W. Deng, M. Chen, and 1 more author
    In International Conference on Medical Image Computing and Computer-Assisted Intervention, 2024
    Acceptance rate 30%
  3. SaTML
    SaTML_2024.png
    Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
    Ruinan Jin, C. Y. Huang, C. You, and 1 more author
    In IEEE Conference on Secure and Trustworthy Machine Learning, 2024
    Acceptance rate 21.5%

2023

  1. MedIA
    MIA_2022.png
    Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis
    Ruinan Jin and Xiaoxiao Li
    Medical Image Analysis, 2023
    Impact Factor 10.9

2022

  1. SASHIMI
    SASHIMI_2022.png
    Backdoor Attack is a Devil in Federated GAN-based Medical Image Synthesis
    Ruinan Jin and Xiaoxiao Li
    In International Workshop on Simulation and Synthesis in Medical Imaging, 2022

Preprints

2026

  1. Preprint
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    RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models
    Ruinan Jin*, X. Liao*, H. Yu, and 2 more authors
    2026

2025

  1. Preprint
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    See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis
    Ruinan Jin, G. Huang, X. Shen, and 3 more authors
    2025
  2. Preprint
    medvlmbench_2025.png
    Can Generalist Vision-Language Models Rival Specialist Medical VLMs? Benchmarking and Strategic Insights
    Y. Zhong*, Ruinan Jin*, Xiaoxiao Li, and 1 more author
    2025
  3. Preprint
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    A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning
    M. Chen*, H. Ghoukasian*, Ruinan Jin*, and 3 more authors
    2025

* denotes equal author contribution.