39 citations · 92 across the 29 of their papers we have counts for
30 papers
InfoAtlas: A Foundation Model for Zero-Shot Statistical Dependence Estimate
Zhengyang Hu, Yanzhi Chen, Hanxiang Ren +5
Measuring statistical dependency between high-dimensional random variables is a fundamental task in data science and machine learning. Neural mutual information (MI) estimators off…
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…
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…
A Theory of Atomic Beamforming
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Leveraging the quantum advantages of highly excited atoms, Rydberg atomic receivers (RAREs) represent a paradigm shift in microwave detection with extremely high sensitivity and br…
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…
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…
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…
In-Memory Computing Enabled Deep MIMO Detection to Support Ultra-Low-Latency Communications
Tingyu Ding, Qunsong Zeng, Kaibin Huang
The development of sixth-generation (6G) mobile networks imposes unprecedented latency and reliability demands on multiple-input multiple-output (MIMO) communication systems, a key…
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…
Rydberg Atomic Receivers for Multi-Band Communications and Sensing
Mingyao Cui, Qunsong Zeng, Minze Chen +4
Harnessing multi-level electron transitions, Rydberg Atomic REceivers (RAREs) can detect wireless signals across a wide range of frequency bands, from Megahertz to Terahertz. This…
Realizing Quantum Wireless Sensing Without Extra Reference Sources: Architecture, Algorithm, and Sensitivity Maximization
Mingyao Cui, Qunsong Zeng, Zhanwei Wang +1
Rydberg Atomic REceivers (RAREs) have demonstrated remarkable capabilities for radio-frequency signal measurement, enabling advanced quantum wireless sensing. Existing RARE-based s…
Revisiting Outage for Edge Inference Systems
Zhanwei Wang, Qunsong Zeng, Haotian Zheng +1
One of the key missions of sixth-generation (6G) mobile networks is to deploy large-scale artificial intelligence (AI) models at the network edge to provide remote-inference servic…
Ultra-Low-Latency Edge Intelligent Sensing: A Source-Channel Tradeoff and Its Application to Coding Rate Adaptation
Qunsong Zeng, Jianhao Huang, Zhanwei Wang +2
The forthcoming sixth-generation (6G) mobile network is set to merge edge artificial intelligence (AI) and integrated sensing and communication (ISAC) extensively, giving rise to t…
Calibration-free Rydberg Atomic Receiver for Sub-MHz Wireless Communications and Sensing
Minze Chen, Tianqi Mao, Wei Xiao +7
The exploitation of sub-MHz (\textless 1 MHz) can be beneficial for a plethora of applications like underwater vehicular communication, subsurface exploration, low-frequency naviga…
Rydberg Atomic Receiver: Next Frontier of Wireless Communications
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Rydberg Atomic REceiver (RARE) is driving a paradigm shift in electromagnetic (EM) wave measurement by harnessing the electron transition phenomenon of Rydberg atoms. Operating at…
Towards ubiquitous radio access using nanodiamond based quantum receivers
Qunsong Zeng, Jiahua Zhang, Madhav Gupta +2
The development of sixth-generation (6G) wireless communication systems demands innovative solutions to address challenges in the deployment of a large number of base stations and…
Knowledge-Based Ultra-Low-Latency Semantic Communications for Robotic Edge Intelligence
Qunsong Zeng, Zhanwei Wang, You Zhou +3
The 6G mobile networks will feature the widespread deployment of AI algorithms at the network edge, which provides a platform for supporting robotic edge intelligence systems. In s…
MIMO Precoding for Rydberg Atomic Receivers
Mingyao Cui, Qunsong Zeng, Kaibin Huang
Leveraging the strong atom-light interaction, a Rydberg atomic receiver can measure radio waves with extreme sensitivity. Existing research primarily focuses on improving the signa…
Towards Atomic MIMO Receivers
Mingyao Cui, Qunsong Zeng, Kaibin Huang
The advancement of Rydberg atoms in quantum sensing is driving a paradigm shift from classical receivers to atomic receivers. Capitalizing on the extreme sensitivity of Rydberg ato…
InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization
Zhengyang Hu, Song Kang, Qunsong Zeng +2
Estimating mutual correlations between random variables or data streams is essential for intelligent behavior and decision-making. As a fundamental quantity for measuring statistic…
Realizing In-Memory Baseband Processing for Ultra-Fast and Energy-Efficient 6G
Qunsong Zeng, Jiawei Liu, Mingrui Jiang +7
To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-ef…
Efficient Multiuser AI Downloading via Reusable Knowledge Broadcasting
Hai Wu, Qunsong Zeng, Kaibin Huang
For the 6G mobile networks, in-situ model downloading has emerged as an important use case to enable real-time adaptive artificial intelligence on edge devices. However, the simult…
Realizing Ultra-Fast and Energy-Efficient Baseband Processing Using Analogue Resistive Switching Memory
Qunsong Zeng, Jiawei Liu, Jun Lan +4
To support emerging applications ranging from holographic communications to extended reality, next-generation mobile wireless communication systems require ultra-fast and energy-ef…
Progressive Feature Transmission for Split Inference at the Wireless Edge
Qiao Lan, Qunsong Zeng, Petar Popovski +2
In edge inference, an edge server provides remote-inference services to edge devices. This requires the edge devices to upload high-dimensional features of data samples over resour…