126 citations · 147 across the 6 of their papers we have counts for
6 papers
Generative Actor-Critic with Soft Bridge Policies
Ke He, Le He, Shunpu Tang +2
Expressive generative policies such as diffusion and flow models are appealing for maximum-entropy (MaxEnt) online reinforcement learning because of their ability to model multimod…
AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
Zijiu Yang, Zixiang Zhang, Shunpu Tang +2
Precoding is a key technique for interference management and performance improvement in multi-antenna wireless systems. However, existing precoding methods are typically developed…
Contrastive Learning based Semantic Communication for Wireless Image Transmission
Shunpu Tang, Qianqian Yang, Lisheng Fan +3
Recently, semantic communication has been widely applied in wireless image transmission systems as it can prioritize the preservation of meaningful semantic information in images o…
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang, Lunyuan Chen, Ke HeJunjuan Xia +2
In this paper, we investigate how to deploy computational intelligence and deep learning (DL) in edge-enabled industrial IoT networks. In this system, the IoT devices can collabora…
Dilated Convolution based CSI Feedback Compression for Massive MIMO Systems
Shunpu Tang, Junjuan Xia, Lisheng Fan +3
Although the frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) system can offer high spectral and energy efficiency, it requires to feedback the downlin…
Battery-constrained Federated Edge Learning in UAV-enabled IoT for B5G/6G Networks
Shunpu Tang, Wenqi Zhou, Lunyuan Chen +3
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) app…