activity
20182026
most citedEnergy-Efficient Radio Resource Allocation for Federated Edge Learning

39 citations · 77 across the 13 of their papers we have counts for

collaborators

20 papers

quant-ph2026

Continuous Quantum Aperture: Beamforming with a Single-Vapor-Cell Rydberg Receiver

Mingyao Cui, Qunsong Zeng, Minze Chen +6

Beamforming is conventionally understood as a collective property of many discrete antenna elements in both communication and radar fields, which links angular selectivity to array…

cs.NI2026

Parametric-Sensitivity Aware Retransmission for Efficient AI Downloading

You Zhou, Qunsong Zeng, Kaibin Huang

The edge artificial intelligence (AI) applications in next-generation mobile networks demand efficient AI-model downloading techniques to support real-time, on-device inference. Ho…

math.NA20251 cited

AirBreath Sensing: Protecting Over-the-Air Distributed Sensing Against Interference

Zhanwei Wang, Mingyao Cui, Huiling Yang +3

A distinctive function of sixth-generation (6G) networks is the integration of distributed sensing and edge artificial intelligence (AI) to enable intelligent perception of the phy…

eess.SY20251 cited

TREE:Token-Responsive Energy Efficiency Framework For Green AI-Integrated 6G Networks

Tao Yu, Kaixuan Huang, Tengsheng Wang +7

As wireless networks evolve toward AI-integrated intelligence, conventional energy-efficiency metrics fail to capture the value of AI tasks. In this paper, we propose a novel EE me…

cs.LG2025

Generative Feature Imputing -- A Technique for Error-resilient Semantic Communication

Jianhao Huang, Qunsong Zeng, Hongyang Du +1

Semantic communication (SemCom) has emerged as a promising paradigm for achieving unprecedented communication efficiency in sixth-generation (6G) networks by leveraging artificial…

eess.IV2025

Visual Fidelity Index for Generative Semantic Communications with Critical Information Embedding

Jianhao Huang, Qunsong Zeng, Kaibin Huang

Generative semantic communication (Gen-SemCom) with large artificial intelligence (AI) model promises a transformative paradigm for 6G networks, which reduces communication costs b…