1 citations · 1 across the 17 of their papers we have counts for
18 papers
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…
-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…
Echo: Learning from Experience Data via User-Driven Refinement
Hande Dong, Xiaoyun Liang, Jiarui Yu +15
Static "human data" faces inherent limitations: it is expensive to scale and bounded by the knowledge of its creators. Continuous learning from "experience data" - interactions bet…
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…
Node-Based Soft-Output Fast Successive Cancellation List Decoding of Polar Codes
Li Shen, Yongpeng Wu, Zhen Gao +4
The soft-output successive cancellation list (SO-SCL) decoder provides a methodology for estimating the a-posteriori probability log-likelihood ratios by only leveraging the conven…
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…
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…
Addressing the Curse of Scenario and Task Generalization in AI-6G: A Multi-Modal Paradigm
Tianyu Jiao, Zhuoran Xiao, Yin Xu +9
Existing works on machine learning (ML)-empowered wireless communication primarily focus on monolithic scenarios and single tasks. However, with the blooming growth of communicatio…
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…
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…
MambaJSCC: Deep Joint Source-Channel Coding with Visual State Space Model
Tong Wu, Zhiyong Chen, Meixia Tao +3
Lightweight and efficient deep joint source-channel coding (JSCC) is a key technology for semantic communications. In this paper, we design a novel JSCC scheme named MambaJSCC, whi…