Yequan Bie

According to our database, Yequan Bie authored at least 10 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Large Language Model With Region-Guided Referring and Grounding for CT Report Generation.

Zhi-Xuan Chen, Yequan Bie, Haibo Jin, Hao Chen

IEEE Trans. Medical Imaging, August, 2025

Segment Anything in Pathology Images with Natural Language.

Zhixuan Chen, Junlin Hou, Liqi Lin, Yihui Wang, Yequan Bie, Xi Wang, Yanning Zhou, Ronald Cheong Kin Chan, Hao Chen

CoRR, June, 2025

SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset.

Peng Xie, Xingyuan Liu, Tsz Wai Chan, Yequan Bie, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen

CoRR, June, 2025

ConceptCLIP: Towards Trustworthy Medical AI via Concept-Enhanced Contrastive Langauge-Image Pre-training.

Yuxiang Nie, Sunan He, Yequan Bie, Yihui Wang, Zhixuan Chen, Shu Yang, Hao Chen

CoRR, January, 2025

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks.

Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Large Language Model with Region-guided Referring and Grounding for CT Report Generation.

Zhixuan Chen, Yequan Bie, Haibo Jin, Hao Chen

CoRR, 2024

Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks.

Junlin Hou, Sicen Liu, Yequan Bie, Hongmei Wang, Andong Tan, Luyang Luo, Hao Chen

CoRR, 2024

Dia-LLaMA: Towards Large Language Model-driven CT Report Generation.

Zhixuan Chen, Luyang Luo, Yequan Bie, Hao Chen

CoRR, 2024

XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-Guided Context Optimization.

Yequan Bie, Luyang Luo, Zhixuan Chen, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment.

Yequan Bie, Luyang Luo, Hao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024