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20242026
most citedMulti-Task Semantic Communication With Graph Attention-Based Feature Correlation Extraction

16 citations · 35 across the 16 of their papers we have counts for

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10 papers · 1 filter

cs.AI2026

Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication

Lin Yin, Tiejun Lv, Weicai Li +2

Collaborative training in distributed semantic communication (DSC) networks typically relies on decentralized federated learning (DFL). However, pushing topology-agnostic aggregati…

eess.SP2026

Prior-Aided Iterative Channel Reconstruction with Optimized Frame Structure for DSE Mitigation in CP-OTFS-Based LEO Satellite Systems

Yiyan Cheng, Tiejun Lv, Yashuai Cao +2

Orthogonal time frequency space (OTFS) modulation has emerged as a promising solution to mitigate the severe Doppler shift in low Earth orbit (LEO) satellite communications. Howeve…

cs.AI2026

Adaptive Dual-Path Framework for Covert Semantic Communication

Xi Yu, Weicai Li, Lin Yin +1

This paper proposes a novel adaptive dual-path framework for covert semantic communication (SemCom), which integrates covert information transmission with task-oriented semantic co…

cs.LG2026

Joint Routing and Model Pruning for Decentralized Federated Learning in Bandwidth-Constrained Multi-Hop Wireless Networks

Xiaoyu He, Weicai Li, Tiejun Lv +1

Decentralized federated learning (D-FL) enables privacy-preserving training without a central server, but multi-hop model exchanges and aggregation are often bottlenecked by commun…

eess.SP2026

A Learnable SIM Paradigm: Fundamentals, Training Techniques, and Applications

Hetong Wang, Yashuai Cao, Tiejun Lv

Stacked intelligent metasurfaces (SIMs) represent a breakthrough in wireless hardware by comprising multilayer, programmable metasurfaces capable of analog computing in the electro…

eess.SP2026★ 1 cited

A Harmony Composition-Inspired Tensor Modalization Method for Near-Field IRS Channel Estimation

Wenzhou Cao, Yashuai Cao, Tiejun Lv +1

Intelligent reflecting surfaces (IRSs) are poised to revolutionize next-generation wireless communication systems by enhancing channel quality and spectrum efficiency through advan…

eess.SP2026

Efficient Off-Grid Near-Field Cascade Channel Estimation for XL-IRS Systems via Tucker Decomposition

Wenzhou Cao, Yashuai Cao, Tiejun Lv +1

Accurate cascaded channel state information is pivotal for extremely large-scale intelligent reflecting surfaces (XL-IRS) in next-generation wireless networks. However, the large X…

eess.SP2026★ 1 cited

ARIS-RSMA Enhanced ISAC System: Joint Rate Splitting and Beamforming Design

Xin Jin, Tiejun Lv, Yashuai Cao +2

This letter proposes an active reconfigurable intelligent surface (ARIS) assisted rate-splitting multiple access (RSMA) integrated sensing and communication (ISAC) system to overco…

eess.SY2026★ 1 cited

C-AoEI-Aware Cross-Layer Optimization in Satellite IoT Systems: Balancing Data Freshness and Transmission Efficiency

Yuhua Zhao, Tiejun Lv, Ke Wang

Satellite-based Internet of Things (S-IoT) faces a fundamental trilemma: propagation delay, dynamic fading, and bandwidth scarcity. While Layer-coded Hybrid ARQ (L-HARQ) enhances r…

eess.SP2026★ 1 cited

Stacked Intelligent Metasurfaces-Based Electromagnetic Wave Domain Interference-Free Precoding

Hetong Wang, Yashuai Cao, Tiejun Lv +4

This paper introduces an interference-free multi-stream transmission architecture leveraging stacked intelligent metasurfaces (SIMs), from a new perspective of interference exploit…