Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles. - Ruoqi Wen; Jiahao Huang; Zhifeng Zhao (GLOBECOM (Workshops), 2023)

Multi-Agent Probabilistic Ensembles With Trajectory Sampling for Connected Autonomous Vehicles. - Ruoqi Wen; Jiahao Huang; Rongpeng Li; Guoru Ding; Zhifeng Zhao (IEEE Trans. Veh. Technol., 2024)

Variation-Aware Bernstein-Based Upper Confidence Reinforcement Learning for Environment With Endogenous and Exogenous Uncertainty. - Ruoqi Wen; Rongpeng Li (IEEE Access, 2025)

Multi-agent Uncertainty-Aware Pessimistic Model-Based Reinforcement Learning for Connected Autonomous Vehicles. - Ruoqi Wen; Rongpeng Li; Xing Xu 003; Zhifeng Zhao (CoRR, 2025)

Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning. - Chongyang Tan; Ruoqi Wen; Rongpeng Li; Zhifeng Zhao; Ekram Hossain 001; Honggang Zhang 001 (CoRR, 2025)