Yequan Bie

According to our database, Yequan Bie authored at least 7 papers between 2024 and 2025.

Collaborative distances:

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

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

2024

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

CoRR, 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