People
Qingyuan Zeng
Qingyuan Zeng

Qingyuan Zeng

Research Associate

Qingyuan Zeng is a Research Associate at PAI Lab. Qingyuan received a Master’s degree in Artificial Intelligence from Xiamen University and a Bachelor’s degree in Computer Science and Technology from Guangzhou University of Chinese Medicine.

Education

  • Master’s degree in Artificial Intelligence, Xiamen University (2022-2025)
  • Bachelor’s degree in Computer Science and Technology, Guangzhou University of Chinese Medicine (2018-2022)

Research Interests

  • Security and robustness of AI algorithms
  • Interpretability and fairness of AI algorithms
  • AI algorithms for clinical tumor characterization

Research and Professional Experience

  • Master Researcher, Xiamen University (2022-2025)
  • Bachelor Researcher, Guangzhou University of Chinese Medicine (2020-2022)
  • Medical Imaging Algorithm Engineer, Bayer AG (2021-2022)

Selected Publications

  1. Qingyuan Zeng, S. Jiang, J. Lin, Z. Wang, K. C. Tan, M. Jiang. Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems. AAAI Conference on Artificial Intelligence (AAAI), 2025.
  2. Qingyuan Zeng, Z. Wang, Y. Cheung, M. Jiang. Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models. Advances in Neural Information Processing Systems (NeurIPS), 2024.
  3. Qingyuan Zeng, Z. Liu, et al. Hepatocellular Carcinoma Prediction Based on Image Thinking Chain. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026.
  4. Qingyuan Zeng, Y. Gong, M. Jiang. Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift. International Joint Conference on Neural Networks (IJCNN), 2024.
  5. B. Liu, Qingyuan Zeng (co-first author), J. Huang, J. Zhang, Z. Zheng, Y. Liao, K. Deng, W. Zhou, Y. Xu. IVIM Using Convolutional Neural Networks Predicts Microvascular Invasion in HCC. European Radiology, 2022.
  6. Qingyuan Zeng, B. Liu, Y. Xu, W. Zhou. An Attention-Based Deep Learning Model for Predicting Microvascular Invasion of Hepatocellular Carcinoma Using an Intra-Voxel Incoherent Motion Model of Diffusion-Weighted Magnetic Resonance Imaging. Physics in Medicine and Biology, 2021.
  7. Qingyuan Zeng, W. Zhou. An Attention-Based Deep Learning Model for Direct Estimation of Pharmacokinetic Maps from DCE-MRI Images. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021.

Academic Service

Reviewer for TNNLS, TCSVT, TEVC, TCDS, CIM, AAAI, CVPR, NeurIPS, and MICCAI.