collaborators

6 papers

cs.LG2026

One Score, Two Decisions: Selective Prediction on the Rare-Disease Tail

Zhaoyang Jiang, Zhizhong Fu, Yunsoo Kim +5

Given a patient's clinical findings, a diagnostic system ranks possible diseases and must decide when to endorse its first prediction or defer it for review. This decision is usual…

cs.LG2026

Presentation, Not Mechanism: A Render Confound in Deprecation-Aware Memory Evaluation

Zhaoyang Jiang, Zhizhong Fu, Zicheng Li +5

AI systems increasingly retrieve from records that revise themselves: issue threads, encyclopedic histories, policy logs, and long conversations. The challenge is not only finding…

cs.AI2026

Better Accuracies, Worse Reasoning: A Step-Level Audit of Medical Chain-of-Thought Distillation

Zhaoyang Jiang, Xuanqi Peng, Fei Teng +5

Chain-of-thought (CoT) distillation trains a smaller model to imitate a teacher's reasoning trace, but it is typically evaluated by final-answer metrics including accuracy. We ask…

eess.IV2026

Uncovering Latent Pathological Signatures in Pulmonary CT via Cross-Window Knowledge Distillation

Bo Peng, Wujian Xu, Kun Wang +8

Multi-window CT imaging captures complementary pathological information across anatomical structures of differing densities, yet existing deep learning methods fuse representations…

cs.LG2026

HH-SAE: Discovering and Steering Hierarchical Knowledge of Complex Manifolds

Honghan Wu, Tianyan Wang, Jiacong Mi +2

Rare semantic innovations in high-dimensional, mission-critical domains are often obscured by dense background contexts, a challenge we define as \textit{feature density conflict}.…

cs.CV2026

LoV3D: Grounding Cognitive Prognosis Reasoning in Longitudinal 3D Brain MRI via Regional Volume Assessments

Zhaoyang Jiang, Zhizhong Fu, David McAllister +2

Longitudinal brain MRI is essential for characterizing the progression of neurological diseases such as Alzheimer's disease assessment. However, current deep-learning tools fragmen…