4 citations · 5 across the 8 of their papers we have counts for
6 papers · 1 filter
WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning
Xin Li, Mengbing Liu, Yiyang Zhu +4
Technical-domain benchmarks constructed from arXiv papers can overlap the same public text used in LLM pretraining. Auditing this risk at training-corpus scale requires searching b…
LLM Agent Communication Protocol (LACP) Requires Urgent Standardization: A Telecom-Inspired Protocol is Necessary
Xin Li, Mengbing Liu, Chau Yuen
This position paper argues that the field of LLM agents requires a unified, telecom-inspired communication protocol to ensure safety, interoperability, and scalability, especially…
WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
Xin Li, Mengbing Liu, Li Wei +3
Large Language Models (LLMs) have achieved impressive results across a broad array of tasks, yet their capacity for complex, domain-specific mathematical reasoning-particularly in…
Over-the-Air ODE-Inspired Neural Network for Dual Task-Oriented Semantic Communications
Mengbing Liu, Jiancheng An, Chongwen Huang +1
Analog machine-learning hardware platforms promise greater speed and energy efficiency than their digital counterparts. Specifically, over-the-air analog computation allows offload…
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Mengbing Liu, Chongwen Huang, Ahmed Alhammadi +3
Reconfigurable intelligent surface (RIS) is emerging as a promising technology for next-generation wireless communication networks, offering a variety of merits such as the ability…
Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data
Mengbing Liu, Xin Li, Jiancheng An +1
This paper introduces a novel approach for real-time onboard terrain classification from Sentinel-1 (S1) level-0 raw In-phase/Quadrature (IQ) data, leveraging a Stacked Intelligent…