2 citations · 2 across the 14 of their papers we have counts for
9 papers
Latent-CURE for Breast Cancer Diagnosis
Weiyi Zhao, Xiaoyu Tan, Lu Gan +2
Multimodal Large Models have significantly advanced automated breast ultrasound diagnosis. However, most existing frameworks utilize opaque, end-to-end paradigms prioritizing globa…
CW-B: Class Weighted Boosting Framework for Imbalance Resilient Multi Class Cardiac Phenotyping
Sijia Li, Xiaoyu Tan, Chen Zhan +3
Cardiac discharge phenotyping informs post-discharge treatment and follow-up, but real-world records are often incomplete and class-imbalanced, increasing the risk of missed high-r…
From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning
Chen Zhan, Xiaoyu Tan, Gengchen Ma +3
The integration of Large Language Models (LLMs) into clinical decision support is critically obstructed by their opaque and often unreliable reasoning. In the high-stakes domain of…
VIVID-Med: LLM-Supervised Structured Pretraining for Deployable Medical ViTs
Xiyao Wang, Xiaoyu Tan, Yang Dai +3
Vision-language pretraining has driven significant progress in medical image analysis. However, current methods typically supervise visual encoders using one-hot labels or free-for…
PRISM: Festina Lente Proactivity -- Risk-Sensitive, Uncertainty-Aware Deliberation for Proactive Agents
Yuxuan Fu, Xiaoyu Tan, Teqi Hao +2
Proactive agents must decide not only what to say but also whether and when to intervene. Many current systems rely on brittle heuristics or indiscriminate long reasoning, which of…
Curiosity Driven Knowledge Retrieval for Mobile Agents
Sijia Li, Xiaoyu Tan, Shahir Ali +3
Mobile agents have made progress toward reliable smartphone automation, yet performance in complex applications remains limited by incomplete knowledge and weak generalization to u…