Yequan Bie

5 papers · 2024–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (2) MICCAI (2) CVPR (1)

Top co-authors

Hao Chen (5) Luyang Luo (4) Zhixuan Chen (3) Kani Chen (1) Jianda Mao (1) Yang Wang (1) Zhiyuan Cai (1) Peng Xie (1) Yangqiu Song (1) Andong Tan (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Core AI (3) Deep Learning (2) Learning Types · Machine Learning (2) Learning Types · Deep Learning (2) Healthcare & Medicine (1) Architectures (1) Clinical (1) Core Methods (1)

Keywords

vision-language model (2) domain adaptation (1) model robustness (1) multimodal learning (1) explainable ai (1) prompt learning (1) medical image analysis (1) adversarial attack (1) black-box attack (1) concept bottleneck (1) adversarial transferability (1) transfer attack (1) explainable artificial intelligence (1) knowledge retrieval (1) transfer-based attack (1) few-shot learning (1) skin lesion diagnosis (1)

Papers

Knowledge-Enhanced Explainable Prompting for Vision-Language Models AAAI 2026 Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks CVPR 2025 Dia-LLaMA: Towards Large Language Model-driven CT Report Generation MICCAI 2025 MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment AAAI 2024 XCoOp: Explainable Prompt Learning for Computer-Aided Diagnosis via Concept-guided Context Optimization MICCAI 2024