13 citations · 20 across the 31 of their papers we have counts for
32 papers
WONDER: A Radio World Model-based Negotiation Framework for Multi-Agent UAV Coverage Optimization
Jiahao Huang, Rongpeng Li, Zhifeng Zhao +2
Post-disaster damage to terrestrial infrastructure can disrupt wireless coverage,while Uncrewed Aerial Vehicle (UAV) swarms provide a promising solution for rapid restoration.Howev…
Agentic Router: An Execution-Grounded Continual Learning Approach With Memory
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +3
Large language model (LLM) agents provide a promising interface for command-line-based network operations, but a plausible command may still fail or introduce operational risk afte…
Contextual Memory-Enhanced Source Coding for Low-SNR Communications
Ziqiong Wang, Rongpeng Li, Zhifeng Zhao +1
Separate Source-Channel Coding (SSCC) remains vulnerable in noisy text transmission due to the fragility of autoregressive source decoding, especially when Arithmetic Coding (AC) r…
Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment
Renxuan Tan, Rongpeng Li, Zhifeng Zhao +1
Transcending the single-preference paradigm, aligning LLMs with diverse human values is pivotal for robust deployment. Contemporary Multi-Objective Preference Alignment (MPA) appro…
Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
Xiaoxue Yu, Rongpeng Li, Zhifeng Zhao +1
The evolution of next-Generation (xG) wireless networks marks a paradigm shift from connectivity-centric architectures to Artificial Intelligence (AI)-native designs that tightly i…
NetWorld: Communication-Based Diffusion World Model for Multi-Agent Reinforcement Learning in Wireless Networks
Kechen Meng, Rongpeng Li, Yansha Deng +2
As wireless communication networks grow in scale and complexity, diverse resource allocation tasks become increasingly critical. Multi-Agent Reinforcement Learning (MARL) provides…
In-Context Source and Channel Coding
Ziqiong Wang, Tianqi Ren, Rongpeng Li +2
Separate Source-Channel Coding (SSCC) remains attractive for text transmission due to its modularity and compatibility with mature entropy coders and powerful channel codes. Howeve…
Optimizing NetGPT via Routing-Based Synergy and Reinforcement Learning
Yuxuan Chen, Rongpeng Li, Xianfu Chen +4
Large language model (LLM) agents at the network edge offer low-latency execution for routine queries. In contrast, complex requests often require the superior capability of cloud…
LLM-Empowered Agentic MAC Protocols: A Dynamic Stackelberg Game Approach
Renxuan Tan, Rongpeng Li, Fei Wang +4
Medium Access Control (MAC) protocols, essential for wireless networks, are typically manually configured. While deep reinforcement learning (DRL)-based protocols enhance task-spec…
RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
Ziyao Wang, Rongpeng Li, Sizhao Li +4
Intelligent control of Unmanned Aerial Vehicles (UAVs) swarms has emerged as a critical research focus, and it typically requires the swarm to navigate effectively while avoiding o…
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
Shiyi Yang, Xiaoxue Yu, Rongpeng Li +3
Operating Large Language Models (LLMs) on edge devices is increasingly challenged by limited communication bandwidth and strained computational and memory costs. Thus, cloud-assist…
Decentralized Consensus Inference-based Hierarchical Reinforcement Learning for Multi-Constrained UAV Pursuit-Evasion Game
Xiang Yuming, Li Sizhao, Li Rongpeng +2
Multiple quadrotor unmanned aerial vehicle (UAV) systems have garnered widespread research interest and fostered tremendous interesting applications, especially in multi-constraine…
Topology-Assisted Spatio-Temporal Pattern Disentangling for Scalable MARL in Large-scale Autonomous Traffic Control
Rongpeng Li, Jianhang Zhu, Jiahao Huang +2
Intelligent Transportation Systems (ITSs) have emerged as a promising solution towards ameliorating urban traffic congestion, with Traffic Signal Control (TSC) identified as a crit…
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
Chongyang Tan, Ruoqi Wen, Rongpeng Li +3
Federated Learning (FL) enables distributed model training across edge devices in a privacy-friendly manner. However, its efficiency heavily depends on effective device selection a…
Reinforcement Learning-Based Heterogeneous Multi-Task Optimization in Semantic Broadcast Communications
Zhilin Lu, Rongpeng Li, Zhifeng Zhao +1
Semantic broadcast communications (Semantic BC) for image transmission have achieved significant performance gains for single-task scenarios. Nevertheless, extending these methods…
Select2Drive: Pragmatic Communications for Real-Time Collaborative Autonomous Driving
Jiahao Huang, Jianhang Zhu, Rongpeng Li +2
Vehicle-to-everything communications-assisted autonomous driving has witnessed remarkable advancements in recent years, with pragmatic communications (PragComm) emerging as a promi…
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classification
Yuxuan Chen, Rongpeng Li, Zhifeng Zhao +1
We present MERLOT, a scalable mixture-of-expert (MoE) based refinement of distilled large language model optimized for encrypted traffic classification. By applying model distillat…
Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
Yuxuan Chen, Rongpeng Li, Xiaoxue Yu +2
Optimizing the deployment of large language models (LLMs) in edge computing environments is critical for enhancing privacy and computational efficiency. Toward efficient wireless L…
Snake Learning: A Communication- and Computation-Efficient Distributed Learning Framework for 6G
Xiaoxue Yu, Xingfu Yi, Rongpeng Li +4
In the evolution towards 6G, integrating Artificial Intelligence (AI) with advanced network infrastructure emerges as a pivotal strategy for enhancing network intelligence and reso…
Topology Data Analysis-based Error Detection for Semantic Image Transmission with Incremental Knowledge-based HARQ
Fei Ni, Rongpeng Li, Zhifeng Zhao +1
Semantic communication (SemCom) aims to achieve high fidelity information delivery under low communication consumption by only guaranteeing semantic accuracy. Nevertheless, semanti…
Interplay of Semantic Communication and Knowledge Learning
Fei Ni, Bingyan Wang, Rongpeng Li +2
In the swiftly advancing realm of communication technologies, Semantic Communication (SemCom), which emphasizes knowledge understanding and processing, has emerged as a hot topic.…
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…
Ten issues of NetGPT
Wen Tong, Chenghui Peng, Tingting Yang +15
With the rapid development and application of foundation models (FMs), it is foreseeable that FMs will play an important role in future wireless communications. As current Artifici…
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…