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cs.DC2025
OD-MoE: On-Demand Expert Loading for Cacheless Edge-Distributed MoE Inference
Liujianfu Wang, Yuyang Du, Yuchen Pan +3
Mixture-of-Experts (MoE), while offering significant advantages as a Large Language Model (LLM) architecture, faces substantial challenges when deployed on low-cost edge devices wi…
eess.SY2025
LLMind 2.0: Distributed IoT Automation with Natural Language M2M Communication and Lightweight LLM Agents
Yuyang Du, Qun Yang, Liujianfu Wang +3
Recent advances in large language models (LLMs) have generated great interest in their applications for IoT automation and device management. However, centralized approaches strugg…
cs.NI2025
Cellular-X: An LLM-empowered Cellular Agent for Efficient Base Station Operations
Liujianfu Wang, Xinyi Long, Yuyang Du +3
This paper introduces Cellular-X, an LLM-powered agent designed to automate cellular base station (BS) maintenance. Leveraging multimodal LLM and retrieval-augmented generation (RA…