Xirui Kang — accepted AI-conference papers

2026

SpecPL: Disentangling Spectral Granularity for Prompt Learning

Jingtao Zhou, Xirui Kang, feiyang huang, Lai Man Po

ICML 2026poster

Existing prompt learning for VLMs exhibits a modality asymmetry, predominantly optimizing text tokens while still relying on frozen visual encoder as holistic extractor and neglecting the spectral granularity essential for fine-grained discrimination. To bridge this, we introduce Disentangling Spect…

Cited by 0 Source ↗Scholar ↗

2026

X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model

Jinliang Zheng, Jianxiong Li, Zhihao Wang, Dongxiu Liu, Xirui Kang, Yuchun Feng +8

ICLR 2026poster

Successful generalist Vision-Language-Action (VLA) models that rely on effective training across diverse robotic platforms with large-scale, cross-embodiment, heterogeneous datasets. To facilitate and leverage the heterogeneity in rich, diverse robotic data sources, we propose a novel Soft Prompt ap…

Cited by 0 Source ↗code ↗Scholar ↗