198 citations · 202 across the 29 of their papers we have counts for
31 papers
Restoration Flow Matching-Based Channel Refinement and Equalization Correction for MIMO Semantic Communications
Wenkai Liu, Nan Ma, Jianqiao Chen +3
In multiple-input multiple-output (MIMO) semantic communication, imperfect channel state information (CSI) and equalization mismatch can seriously degrade semantic reconstruction q…
Generative Communications: Overview, Technologies, and Trends
Wenjun Zhang, Zhiyong Chen, Tong Wu +4
The groundbreaking development of generative artificial intelligence (AI) is rapidly boosting the ability to generate content such as images and videos, reshaping communication par…
JSCGC: Joint Source-Channel-Generation Coding for Wireless Generative Communications
Tong Wu, Zhiyong Chen, Guo Lu +4
Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distor…
-Agent: An Executable and Evolving Agent for Resource Management of Edge Generative Inference
Rui Bao, Yaping Sun, Zhiyong Chen +4
Edge deployments of generative inference increasingly face two practical realities: per-device per-model performance is often unknown at deployment time, and it is non-stationary d…
Domain-Adaptive Communication-Rate Optimization for Sim-to-Real Humanoid-Robot Wireless XR Teleoperation
Caolu Xu, Zhiyong Chen, Meixia Tao +3
Wireless extended reality (XR) teleoperation provides embodied interaction capability for collecting humanoid robot demonstrations, but the large-scale adoption is restricted by th…
CR^2: Cost-Aware Risk-Controlled Routing for Wireless Device-Edge LLM Inference
Nan Xue, Shengkang Chen, Zhiyong Chen +4
As large language models (LLMs) move from centralized clouds to mobile edge environments, efficient serving must balance latency, energy consumption, and accuracy under constrained…
AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G
Kejia Bian, Meixia Tao, Jianhua Mo +2
The success of large foundation models is catalyzing a new paradigm for AI-native 6G network design: wireless foundation models for physical-layer design. However, existing models…
WISV: Wireless-Informed Semantic Verification for Distributed Speculative Decoding in Device-Edge LLM Inference
Zixuan Liu, Zhiyong Chen, Nan Xue +4
While distributed device-edge speculative decoding enhances resource utilization across heterogeneous nodes, its performance is often bottlenecked by conventional token-level verif…
Towards Semantic-based Agent Communication Networks: Vision, Technologies, and Challenges
Ping Zhang, Rui Meng, Xiaodong Xu +24
The International Telecommunication Union (ITU) identifies "Artificial Intelligence (AI) and Communication" as one of six key usage scenarios for 6G. Agentic AI, characterized by i…
Joint Source-Channel-Generation Coding: From Distortion-oriented Reconstruction to Semantic-consistent Generation
Tong Wu, Zhiyong Chen, Guo Lu +4
Conventional communication systems, including both separation-based coding and AI-driven joint source-channel coding (JSCC), are largely guided by Shannon's rate-distortion theory.…
Text-Guided Diffusion Model-based Generative Communication for Wireless Image Transmission
Shengkang Chen, Tong Wu, Zhiyong Chen +3
Reliable image transmission over wireless channels is particularly challenging at extremely low transmission rates, where conventional compression and channel coding schemes fail t…
Spatial Computing Communications for Multi-User Virtual Reality in Distributed Mobile Edge Computing Network
Caolu Xu, Zhiyong Chen, Meixia Tao +2
Immersive virtual reality (VR) applications impose stringent requirements on latency, energy efficiency, and computational resources, particularly in multi-user interactive scenari…
Mixture of Semantics Transmission for Generative AI-Enabled Semantic Communication Systems
Junjie Ni, Tong Wu, Zhiyong Chen +3
In this paper, we propose a mixture of semantics (MoS) transmission strategy for wireless semantic communication systems based on generative artificial intelligence (AI). At the tr…
Knowledge Distillation Driven Semantic NOMA for Image Transmission with Diffusion Model
Qifei Wang, Zhen Gao, Shuo Sun +3
As a promising 6G enabler beyond conventional bit-level transmission, semantic communication can considerably reduce required bandwidth resources, while its combination with multip…
CSGO: Generalized Optimization for Cold Start in Wireless Collaborative Edge LLM Systems
Xuran Liu, Nan Xue, Rui Bao +5
While deploying large language models on edge devices promises low-latency and privacy-preserving AI services, it is hindered by limited device resources. Although pipeline paralle…
Channel Estimation for RIS-Assisted mmWave Systems via Diffusion Models
Yang Wang, Yin Xu, Cixiao Zhang +6
Reconfigurable intelligent surface (RIS) has been recognized as a promising technology for next-generation wireless communications. However, the performance of RIS-assisted systems…
ICDM: Interference Cancellation Diffusion Models for Wireless Semantic Communications
Tong Wu, Zhiyong Chen, Dazhi He +5
Diffusion models (DMs) have recently achieved significant success in wireless communications systems due to their denoising capabilities. The broadcast nature of wireless signals m…
Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
Zhongwei Wang, Tong Wu, Zhiyong Chen +3
Federated semi-supervised learning (FSSL) is primarily challenged by two factors: the scarcity of labeled data across clients and the non-independent and identically distribution (…
SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications
Hao Mo, Yaping Sun, Shumin Yao +6
Score-based diffusion models represent a significant variant within the diffusion model family and have seen extensive application in the increasingly popular domain of generative…
Overview of AI and Communication for 6G Network: Fundamentals, Challenges, and Future Research Opportunities
Qimei Cui, Xiaohu You, Ni Wei +22
With the growing demand for seamless connectivity and intelligent communication, the integration of artificial intelligence (AI) and sixth-generation (6G) communication networks ha…
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Nan Xue, Yaping Sun, Zhiyong Chen +6
Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but the role of wireless networks in supporting LLMs has not been thoro…
Two Birds with One Stone: Multi-Task Semantic Communications Systems over Relay Channel
Yujie Cao, Tong Wu, Zhiyong Chen +3
In this paper, we propose a novel multi-task, multi-link relay semantic communications (MTML-RSC) scheme that enables the destination node to simultaneously perform image reconstru…
MambaJSCC: Adaptive Deep Joint Source-Channel Coding with Generalized State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +4
Lightweight and efficient neural network models for deep joint source-channel coding (JSCC) are crucial for semantic communications. In this paper, we propose a novel JSCC architec…
Wireless Multi-User Interactive Virtual Reality in Metaverse with Edge-Device Collaborative Computing
Caolu Xu, Zhiyong Chen, Meixia Tao +1
The immersive nature of the metaverse presents significant challenges for wireless multi-user interactive virtual reality (VR), such as ultra-low latency, high throughput and inten…