Licheng Wang — accepted AI-conference papers

2025

A Geometry-Based Node Activation Method for Relative Localization

Licheng Wang, Yi Li, Hanying Zhao, Yuan Shen

ICASSP 2025accepted

In multi-agent systems, the hybrid active-silent relative localization framework is widely employed, where only active nodes transmit signals. The selection of active nodes, known as node activation, significantly impacts the positioning accuracy. This paper investigates the node activation in ancho…

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2025

SE-Agent: Self-Evolution Trajectory Optimization in Multi-Step Reasoning with LLM-Based Agents

Yifu Guo, Jiaye Lin, Huacan Wang, Yuzhen Han, Sen Hu, Ziyi Ni +2

NeurIPS 2025poster

Large Language Model (LLM)-based agents have recently shown impressive capabilities in complex reasoning and tool use via multi-step interactions with their environments. While these agents have the potential to tackle complicated tasks, their problem-solving process—agents' interaction trajectory l…

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