Publications (26)
Generative Semantic Communication via Alternating Dual-Domain Posterior Sampling
Shunpu Tang, Qianqian Yang
Generative semantic communication (SemCom) harnesses pretrained generative priors to improve the perceptual quality of wireless image transmission. Existing generative SemCom recei…
Covert Prompt Transmission for Secure Large Language Model Services
Ruichen Zhang, Yinqiu Liu, Shunpu Tang +5
This paper investigates covert prompt transmission for secure and efficient large language model (LLM) services over wireless networks. We formulate a latency minimization problem…
Enhancing Image Privacy in Semantic Communication over Wiretap Channels leveraging Differential Privacy
Weixuan Chen, Shunpu Tang, Qianqian Yang
Semantic communication (SemCom) enhances transmission efficiency by sending only task-relevant information compared to traditional methods. However, transmitting semantic-rich data…
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…
Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy
Weixuan Chen, Qianqian Yang, Shuo Shao +3
While semantic communication (SemCom) improves transmission efficiency by focusing on task-relevant information, it also raises critical privacy concerns. Many existing secure SemC…
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…