Xiaofan Jiang — accepted AI-conference papers

2026

Moth: A Low-Cost IR-Based Approach towards Autonomous Precision Drone Landing

Yanchen Liu, Minghui Zhao, Kaiyuan Hou, Junxi Xia, Charles Carver, Stephen Xia +2

ICRA 2026poster

As micro-drones become increasingly deployed in indoor environments for applications ranging from warehouse inspection to emergency response, the challenge of precise automated landing emerges as a crucial barrier to their practical operation and ubiquitous adoption. Existing landing approaches ofte…

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2025

ContextAgent: Context-Aware Proactive LLM Agents with Open-world Sensory Perceptions

Bufang Yang, Lilin Xu, Liekang Zeng, Kaiwei Liu, Siyang Jiang, Wenrui Lu +4

NeurIPS 2025poster

Recent advances in Large Language Models (LLMs) have propelled intelligent agents from reactive responses to proactive support. While promising, existing proactive agents either rely exclusively on observations from enclosed environments (e.g., desktop UIs) with direct LLM inference or employ rule-…

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