works on

From the 1 of 12 linked papers with an AI index.

activity
20242026
collaborators

12 papers

cond-mat.mes-hall2026

Thermal Hall tomography of chiral superconductivity in rhombohedral graphene

Kumar Ghosh

A chiral superconductor carries chiral Majorana modes along its edges, and a single integer, the Bogoliubov--de Gennes Chern number, counts them. Thirty years of candidate material…

cs.CV2026

Semantically Calibrated Evidence Composition for CT Vision-Language Learning

Guoliang You, Haifan Gong, Xiaomeng Chu

Learning transferable representations from CT-report pairs requires combining whole-volume context with anatomy-specific evidence. Existing methods typically emphasize either globa…

cs.CV2026

Learning How Much, Not Just What: Cross-Patient Burden Order for CT Vision-Language Pretraining

Guoliang You, Haifan Gong, Xiaomeng Chu

Volumetric CT vision-language pretraining learns 3D representations from scan-report pairs, but global and anatomy-aware objectives supervise only correspondence: they establish wh…

cs.CV2026

Fine-Grained Vision-Language Pretraining with Organ-Conditioned Pattern Tokens for CT Understanding

Guoliang You, Xiaomeng Chu

The paper introduces OCP-CT, a framework that aligns organ‑conditioned radiological pattern tokens between CT scans and radiology reports using a mixture‑of‑experts and contrastive…

cs.CV2026

Learning Anatomy-Grounded CT Vision-Language Representations with Organ-Hierarchical Report Knowledge

Guoliang You, Hongming Li, Yuanwang Zhang +1

Medical vision-language pretraining (VLP) from paired CT images and radiology reports enables scalable representation learning, but most existing methods align either whole scans w…

cs.RO2025

GraspCoT: Integrating Physical Property Reasoning for 6-DoF Grasping under Flexible Language Instructions

Xiaomeng Chu, Jiajun Deng, Guoliang You +4

Flexible instruction-guided 6-DoF grasping is a significant yet challenging task for real-world robotic systems. Existing methods utilize the contextual understanding capabilities…