142 citations · 487 across the 83 of their papers we have counts for
15 papers · 1 filter
Self-Critical Alternate Learning based Semantic Broadcast Communication
Zhilin Lu, Rongpeng Li, Ming Lei +3
Semantic communication (SemCom) has been deemed as a promising communication paradigm to break through the bottleneck of traditional communications. Nonetheless, most of the existi…
Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles
Ruoqi Wen, Jiahao Huang, Rongpeng Li +2
Autonomous Vehicles (AVs) have attracted significant attention in recent years and Reinforcement Learning (RL) has shown remarkable performance in improving the autonomy of vehicle…
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture
Xiaoxue Yu, Rongpeng Li, Chengchao Liang +1
Multi-Agent Reinforcement Learning (MARL) has emerged as a foundational approach for addressing diverse, intelligent control tasks in various scenarios like the Internet of Vehicle…
Noise Distribution Decomposition based Multi-Agent Distributional Reinforcement Learning
Wei Geng, Baidi Xiao, Rongpeng Li +3
Generally, Reinforcement Learning (RL) agent updates its policy by repetitively interacting with the environment, contingent on the received rewards to observed states and undertak…
Imitation Learning based Alternative Multi-Agent Proximal Policy Optimization for Well-Formed Swarm-Oriented Pursuit Avoidance
Sizhao Li, Yuming Xiang, Rongpeng Li +2
Multi-Robot System (MRS) has garnered widespread research interest and fostered tremendous interesting applications, especially in cooperative control fields. Yet little light has…
Alternate Learning based Sparse Semantic Communications for Visual Transmission
Siyu Tong, Xiaoxue Yu, Rongpeng Li +3
Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information…
Communication-Efficient Cooperative Multi-Agent PPO via Regulated Segment Mixture in Internet of Vehicles
Xiaoxue Yu, Rongpeng Li, Fei Wang +4
Multi-Agent Reinforcement Learning (MARL) has become a classic paradigm to solve diverse, intelligent control tasks like autonomous driving in Internet of Vehicles (IoV). However,…
Decentralized Adaptive Formation via Consensus-Oriented Multi-Agent Communication
Yuming Xiang, Sizhao Li, Rongpeng Li +2
Adaptive multi-agent formation control, which requires the formation to flexibly adjust along with the quantity variations of agents in a decentralized manner, belongs to one of th…
Select2Col: Leveraging Spatial-Temporal Importance of Semantic Information for Efficient Collaborative Perception
Yuntao Liu, Qian Huang, Rongpeng Li +5
Collaborative perception by leveraging the shared semantic information plays a crucial role in overcoming the individual limitations of isolated agents. However, existing collabora…
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…
AI-Oriented Two-Phase Multi-Factor Authentication in SAGINs: Prospects and Challenges
Bin Yang, Shanyun Liu, Tao Xu +4
Space-air-ground integrated networks (SAGINs), which have emerged as an expansion of terrestrial networks, provide flexible access, ubiquitous coverage, high-capacity backhaul, and…
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…
Knowledge Enhanced Semantic Communication Receiver
Bingyan Wang, Rongpeng Li, Jianhang Zhu +2
In recent years, with the rapid development of deep learning and natural language processing technologies, semantic communication has become a topic of great interest in the field…
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…