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Xiangxiang Cui

A PhD at BNU focuses on designing intelligent computing models.

Publications

​ # Equal contributions.

  • Hanqi Yan#, Xiangxiang Cui#, et al. “Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language Models.” In ACL Findings 2026.
  • Xiangxiang Cui, et al. “MedFM-Robust: Benchmarking Robustness of Medical Foundation Models.” In MICCAI, Oral 2026.
  • Xiangxiang Cui, et al. “LLMs Regret Before They Say It: Early Detection and Compositional Architecture of Regret in Hidden States.” In EMNLP Main 2026.
  • Xiangxiang Cui#, Min Zhao#, et al. “A Cross-Feature Mutual Learning Framework Integrating Multiple Features for Brain Disorder Diagnosis”. In Neurocomputing 2025 (JCR Q1)**
  • Xiangxiang Cui#, Xueying Yang#, et al. “A StarGAN and Transformer-Based Hybrid Classification-Regression Model for Multi-institution VMAT Patient-Specific Quality Assurance.” In Medical Physics 2024 (JCR Q1).
  • Xiangxiang Cui, Dongmei Zhi, Weizheng Yan, et al. “CGDM-GAN: An Adversarial Network Approach with Self-supervised Learning for Site Effect Removal. “ In EMBC 2024, CAAI B.
  • Xiangxiang Cui, et al. “Multi-Scale Analysis Framework Integrating Brain Functional Connectivity and Activity” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2024.
  • Xiangxiang Cui, et al. “CGDM-GAN: An Adversarial Network Approach with Self-Supervised for Removing Site Effects” In the Annual Meeting of the organization for Human Brain Mapping (OHBM) 2023.
  • Xiangxiang Cui, et al. “Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos” Preprint 2023.
  • Xiangxiang Cui, et al. “DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation.” In Neurocomputing 2021, JCR Q1, IF:6.5.
  • Xueying Yang#, Xiangxiang Cui#, et al. “Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps”. In Physics in Medicine and Biology 2025 (JCR Q1)
  • Yi Cui, Xiangxiang Cui, et al. “Information transmission through light-induced scattering in photorefractive crystal”. In Optics and Lasers in Engineering 2025 (JCR Q1).
  • Yichen Wang, Zhongyu Li, Xiangxiang Cui, et al. “Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos” In MICCAI 2022.