About
I am a PhD student at the College of Computer Science, Sichuan University, advised by Prof. Zhang Yi (Foreign Member of the Russian Academy of Engineering, IEEE Fellow). I am a member of the Machine Intelligence Lab.
Prior to this, I obtained my B.Eng. degree in Computer Science and Technology from Sichuan University in 2022.
My research centers on mitigating hallucinations in Multimodal Large Language Models (MLLMs) within real-world clinical scenarios. Specifically, I investigate how to effectively embed visual evidence grounding with rich semantic context into LLMs, enabling faithful and interpretable cross-modal reasoning. My work spans radiology report generation, medical image segmentation, and computer-aided diagnosis, aiming to build trustworthy AI systems that bridge the gap between multimodal intelligence and clinical practice.
Selected Publications
View All →Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment
Lingyu Zhou†, Yue Yu†, Zhang Yi, Xiuyuan Xu
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
Glance Before You Tell: Anomaly-Guided 3D Radiology Report Generation with Heat-Conduction Slice Encoders
Lingyu Zhou, Dingwen Pi, Zhang Yi, Jun Wu, Xiuyuan Xu
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS)
Navigate Before You Generate: Volume Evidence Grounding for 3D Radiology Reports
Lingyu Zhou, Dingwen Pi, Jun Wu, Zhang Yi, Xiuyuan Xu
Proceedings of the Conference on Neural Information Processing Systems (NeurIPS)
ForeMatch: Rethinking Foreground Consistency for Efficient Semi-Supervised 3D Medical Image Segmentation
Lingyu Zhou, Zhengyang Xu, Zhang Yi, Deng Xiong, Xiuyuan Xu
Proceedings of the ACM International Conference on Multimedia (ACM MM)
Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment
Lingyu Zhou, Zhang Yi, Kai Zhou, Xiuyuan Xu
Proceedings of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)