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Yunxiang Wang

2 accepted papers

2026

MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied Navigation

CVPR 2026

Embodied navigation is a fundamental capability for robotic agents operating. Real-world deployment requires open vocabulary generalization and low training overhead, motivating zero-shot methods rather than task-specific RL training. However, existing zero-shot methods that build explicit 3D scene

Cited by 0SourceScholar
2025

DCASI: A Sequence-based Attack Investigation Method Using DTW Contrastive Learning

ICASSP 2025accepted

The stealth and persistence of APT attacks make investigation particularly challenging, further complicated by the diversity and volume of host logs. Existing methods, though effective, have limitations: 1) They rely heavily on manual processing and complex models that often fail to capture temporal…

Cited by 0SourceScholar