3 papers
cs.AI2026
Revisiting Chain-of-Thought Reasoning under Limited Supervision: Semi-supervised Chain-of-Thought Learning
Hongyang He, Jiuming Liu, Victor Sanchez
Chain-of-thought (CoT) reasoning has emerged as an effective approach for activating latent reasoning capabilities in large language models. However, most existing CoT methods use…
cs.CV2026
Semi-Supervised Vision-Language-Action Model
Hongyang He, Jiuming Liu, Victor Sanchez
Vision-Language-Action (VLA) models enable robots to predict actions directly from visual observations and language instructions, but adapting them to new environments still depend…
cs.CV2026
TAPM-Net: Trajectory-Aware Perturbation Modeling for Infrared Small Target Detection
Hongyang Xie, Hongyang He, Victor Sanchez
Infrared small target detection (ISTD) remains a long-standing challenge due to weak signal contrast, limited spatial extent, and cluttered backgrounds. Despite performance improve…