Guoxin Lian — accepted AI-conference papers

2026

MapDream: Task-Driven Map Learning for Vision-Language Navigation

Guoxin Lian, Shuo Wang, Yucheng Wang, Yongcai Wang, Maiyue Chen, kaihui.wang +4

ICML 2026poster

Vision-Language Navigation (VLN) requires agents to follow natural language instructions in partially observed 3D environments, motivating map representations that aggregate spatial context beyond local perception. However, most existing approaches rely on hand-crafted maps constructed independently…

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2026

Progress-Think: Semantic Progress Reasoning for Vision-Language Navigation

Shuo Wang, Yucheng Wang, Guoxin Lian, Yongcai Wang, Maiyue Chen, Kaihui Wang +6

CVPR 2026

Vision-Language Navigation requires agents to act coherently over long horizons by understanding not only local visual context but also how far they have advanced within a multi-step instruction.However, recent Vision-Language-Action models focus on direct action prediction and earlier progress meth

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