Meixia Tao

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…

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…

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…

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…

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…

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…

DM-MIMO: Diffusion Models for Robust Semantic Communications over MIMO Channels

Yiheng Duan, Tong Wu, Zhiyong Chen +1

This paper investigates robust semantic communications over multiple-input multiple-output (MIMO) fading channels. Current semantic communications over MIMO channels mainly focus o…

Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels

Tong Wu, Zhiyong Chen, Meixia Tao +2

Degraded broadcast channels (DBC) are a typical multiuser communication scenario, Semantic communications over DBC still lack in-depth research. In this paper, we design a semantic…

Aggregation Design for Personalized Federated Multi-Modal Learning over Wireless Networks

Benshun Yin, Zhiyong Chen, Meixia Tao

Federated Multi-Modal Learning (FMML) is an emerging field that integrates information from different modalities in federated learning to improve the learning performance. In this…

WDMoE: Wireless Distributed Large Language Models with Mixture of Experts

Nan Xue, Yaping Sun, Zhiyong Chen +5

Large Language Models (LLMs) have achieved significant success in various natural language processing tasks, but how wireless communications can support LLMs has not been extensive…