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20242026
most citedFeDeRA:Efficient Fine-tuning of Language Models in Federated Learning Leveraging Weight Decomposition

4 citations · 10 across the 20 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

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…

cs.IT2026

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…

eess.SP2026★ 1 cited

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…

cs.AI2026

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…

cs.CV2026

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…

cs.IT2026

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…

cs.IT2026

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…

eess.SP2026

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…