活动内容智能治理与发布平台
从定时采集、内容判更和 AI 结构化理解,到版本化审批与受控投放的一体化活动生命周期治理链路。
从定时采集、内容判更和 AI 结构化理解,到版本化审批与受控投放的一体化活动生命周期治理链路。
采用 Runtime、Supervisor、Specialist 与 Domain Skill 四层架构,将自然语言需求转化为可澄清、可确认、可恢复的营销活动执行流程。
围绕物理层安全、图注意力强化学习、6G 无人机网络与安全通感一体化开展的系列研究。
Accepted · IEEE International Conference on Communications (ICC) · 2026
A graph-attention reinforcement-learning framework for jointly optimizing UAV trajectory, transmit power, and bandwidth under physical-layer security constraints.
推荐引用: Liang Wang, Wenshuai Cui, Bomin Mao, Qu Luo, and Qihao Peng. Joint Trajectory and Resource Optimization for Secure UAV Communications Based on Graph Attention Reinforcement Learning.
Accepted · IEEE Communications Standards Magazine · 2026
A perspective on how deep reinforcement learning and graph neural networks can support intelligent, adaptive, and secure UAV networking in 6G.
推荐引用: Liang Wang, Wenshuai Cui, Qihao Peng, Zhiqiang Liu, and Rugui Yao. AI-Enabled UAV Networks for 6G: A Paradigm Shift.
Under review · Manuscript under review · 2026
A hierarchical deep-RL method that injects LLM-generated scheduling priors into energy-efficient UAV-enabled secure integrated sensing and communications.
推荐引用: Wenshuai Cui. LEP-HDRL: Hierarchical Deep Reinforcement Learning With LLM-Generated Scheduling Priors for Energy-Efficient UAV-Enabled Secure ISAC.
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本科课程, 课程教学, 2014
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专题研讨, 教学实践, 2015
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