3 papers
cs.CV2026
PatchGen: Learning Soft Intra-Image Predictive Subsets for Visual Generalization
Zhaorui Tan, Weimiao Yu, Xi Yang
Visual classifiers are expected to generalize under data shifts, target shifts, and their combinations, yet most existing methods focus on domain invariance while failing to addres…
cs.AI2026
Mind the Tool Failures: Achieving Synergistic Tool Gains for Medical Agents
Yunhui Gan, Tan Pan, Kaiyu Guo +5
Medical AI agents increasingly use external tools for diagnosis, treatment recommendation, and evidence retrieval, yet most existing approaches assume that task-appropriate tools a…
cs.CV2025
Exploiting Layer Normalization Fine-tuning in Visual Transformer Foundation Models for Classification
Zhaorui Tan, Tan Pan, Kaizhu Huang +8
LayerNorm is pivotal in Vision Transformers (ViTs), yet its fine-tuning dynamics under data scarcity and domain shifts remain underexplored. This paper shows that shifts in LayerNo…