4 citations · 10 across the 20 of their papers we have counts for
21 papers
SPrune: Spatially Structured Visual Token Pruning for Multimodal Large Language Models
Yuanyuan Jia, Shunpu Tang, Qianqian Yang
Visual token pruning reduces the inference overhead of multimodal large language models (MLLMs) by retaining only a subset of visual tokens. Existing methods usually select tokens…
Media Meets Communication in 6G: Fundamentals, Key Technologies, and Applications
Bingyan Xie, Longyu Zhou, Zihan Chen +9
The rapid advancement of sixth-generation (6G) networks is accelerating the convergence of media intelligence and communication intelligence, driving media communication beyond con…
When Eavesdroppers Reason: Agentic Eavesdropping Attacks on Semantic Communication
Shunpu Tang, Qianqian Yang, Zhiguo Shi +2
Semantic communication (SemCom) has emerged as a promising paradigm for next-generation networks. However, its typical end-to-end joint source--channel coding (JSCC) architecture a…
CoVSpec: Efficient Device-Edge Co-Inference for Vision-Language Models via Speculative Decoding
Yuanyuan Jia, Shunpu Tang, Qianqian Yang
Vision-language models (VLMs) have demonstrated strong capabilities in multimodal perception and reasoning. However, deploying large VLMs on mobile devices remains challenging due…
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…
Cache-enabled Generative Joint Source-Channel Coding for Evolving Semantic Communications
Shunpu Tang, Qianqian Yang, Jihong Park +3
Learning-based semantic communication (SemCom) has recently emerged as a promising paradigm for improving the transmission efficiency of wireless networks. However, existing method…
TCLNet: A Hybrid Transformer-CNN Framework Leveraging Language Models as Lossless Compressors for CSI Feedback
Zijiu Yang, Qianqian Yang, Shunpu Tang +2
In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) plays a crucial role in achieving high spectru…
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
Shunpu Tang, Yuanyuan Jia, Zijiu Yang +6
Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networ…
Towards Edge General Intelligence: Knowledge Distillation for Mobile Agentic AI
Yuxuan Wu, Linghan Ma, Ruichen Zhang +9
Edge General Intelligence (EGI) represents a paradigm shift in mobile edge computing, where intelligent agents operate autonomously in dynamic, resource-constrained environments. H…
DiffusionX: Efficient Edge-Cloud Collaborative Image Generation with Multi-Round Prompt Evolution
Yi Wei, Shunpu Tang, Liang Zhao +1
Recent advances in diffusion models have driven remarkable progress in image generation. However, the generation process remains computationally intensive, and users often need to…
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…
Enhancing Privacy in Semantic Communication over Wiretap Channels leveraging Differential Privacy
Weixuan Chen, Shunpu Tang, Qianqian Yang +2
Semantic communication (SemCom) improves transmission efficiency by focusing on task-relevant information. However, transmitting semantic-rich data over insecure channels introduce…
Enabling Training-Free Semantic Communication Systems with Generative Diffusion Models
Shunpu Tang, Yuanyuan Jia, Qianqian Yang +3
Semantic communication (SemCom) has recently emerged as a promising paradigm for next-generation wireless systems. Empowered by advanced artificial intelligence (AI) technologies,…
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…
Towards Secure Semantic Communications in the Presence of Intelligent Eavesdroppers
Shunpu Tang, Yuhao Chen, Qianqian Yang +3
Semantic communication has emerged as a promising paradigm for enhancing communication efficiency in sixth-generation (6G) networks. However, the broadcast nature of wireless chann…
Toward Agentic AI: Generative Information Retrieval Inspired Intelligent Communications and Networking
Ruichen Zhang, Shunpu Tang, Yinqiu Liu +5
The increasing complexity and scale of modern telecommunications networks demand intelligent automation to enhance efficiency, adaptability, and resilience. Agentic AI has emerged…
Retrieval-augmented Generation for GenAI-enabled Semantic Communications
Shunpu Tang, Ruichen Zhang, Yuxuan Yan +4
Semantic communication (SemCom) is an emerging paradigm aiming at transmitting only task-relevant semantic information to the receiver, which can significantly improve communicatio…
FeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition
Yuxuan Yan, Qianqian Yang, Shunpu Tang +1
Despite their exceptional performance on various tasks after fine-tuning, pre-trained language models (PLMs) face significant challenges due to growing privacy concerns with data i…
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…
Secure Semantic Communication for Image Transmission in the Presence of Eavesdroppers
Shunpu Tang, Chen Liu, Qianqian Yang +2
Semantic communication (SemCom) has emerged as a key technology for the forthcoming sixth-generation (6G) network, attributed to its enhanced communication efficiency and robustnes…
Evolving Semantic Communication with Generative Model
Shunpu Tang, Qianqian Yang, Deniz Gündüz +1
Recently, learning-based semantic communication (SemCom) has emerged as a promising approach in the upcoming 6G network and researchers have made remarkable efforts in this field.…