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…