142 citations · 185 across the 9 of their papers we have counts for
10 papers
NetGPT: A Native-AI Network Architecture Beyond Provisioning Personalized Generative Services
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +4
Large language models (LLMs) have triggered tremendous success to empower our daily life by generative information. The personalization of LLMs could further contribute to their ap…
RHFedMTL: Resource-Aware Hierarchical Federated Multi-Task Learning
Xingfu Yi, Rongpeng Li, Chenghui Peng +3
The rapid development of artificial intelligence (AI) over massive applications including Internet-of-things on cellular network raises the concern of technical challenges such as…
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
Baidi Xiao, Rongpeng Li, Fei Wang +4
Autonomous driving has witnessed incredible advances in the past several decades, while Multi-Agent Reinforcement Learning (MARL) promises to satisfy the essential need of autonomo…
Approaching Shannon's One-Time Pad: Metrics, Architectures, and Enabling Technologies
Li Sun, Xianhui Lu, Peng Liu +3
The rapid development of advanced computing technologies such as quantum computing imposes new challenges to current wireless security mechanism which is based on cryptographic app…
Semantics-enhanced Temporal Graph Networks for Content Popularity Prediction
Jianhang Zhu, Rongpeng Li, Xianfu Chen +3
The surging demand for high-definition video streaming services and large neural network models (e.g., Generative Pre-trained Transformer, GPT) implies a tremendous explosion of In…
AoI-based Temporal Attention Graph Neural Network for Popularity Prediction and Content Caching
Jianhang Zhu, Rongpeng Li, Guoru Ding +4
Along with the fast development of network technology and the rapid growth of network equipment, the data throughput is sharply increasing. To handle the problem of backhaul bottle…
Toward 6G TK Extreme Connectivity: Architecture, Key Technologies and Experiments
Xiaohu You, Yongming Huang, Shengheng Liu +20
Sixth-generation (6G) networks are evolving towards new features and order-of-magnitude enhancement of systematic performance metrics compared to the current 5G. In particular, the…
6G Network AI Architecture for Everyone-Centric Customized Services
Yang Yang, Mulei Ma, Hequan Wu +51
Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to…
Rethinking Modern Communication from Semantic Coding to Semantic Communication
Kun Lu, Qingyang Zhou, Rongpeng Li +4
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message. This article rethinks these two major features and in…
Toward Native Artificial Intelligence in 6G Networks: System Design, Architectures, and Paradigms
Jianjun Wu, Rongpeng Li, Xueli An +4
The mobile communication system has transformed to be the fundamental infrastructure to support digital demands from all industry sectors, and 6G is envisioned to go far beyond the…