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20242026
most citedOptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers

1 citations · 2 across the 11 of their papers we have counts for

collaborators

12 papers

eess.IV2026

Single-Model Adaptive Wireless Image Transmission via Feature Sparsity Regularization

Xianghao Cui, Li Lan, Qi He +4

Learned joint source-channel coding (JSCC) enables robust wireless image transmission by jointly optimizing the transmitter and receiver over differentiable channel models. For ban…

cs.NI2026

Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN

Xijun Wang, Zhaoyang Liu, Chenyuan Feng +3

As 6G evolves, the radio access network must transcend traditional automation to embrace agentic AI capable of perception, reasoning, and evolution. A fundamental cognitive gap per…

eess.SP2026★ 1 cited

OptiVote: Non-Coherent FSO Over-the-Air Majority Vote for Communication-Efficient Distributed Federated Learning in Space Data Centers

Anbang Zhang, Chenyuan Feng, Wai Ho Mow +4

The rapid deployment of mega-constellations is driving the long-term vision of space data centers (SDCs), where interconnected satellites form in-orbit distributed computing and le…

cs.IT2026

CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge

Zhiheng Guo, Zhaoyang Liu, Zihan Cen +5

The deployment of large-scale neural networks within the Open Radio Access Network (O-RAN) architecture is pivotal for enabling native edge intelligence. However, this paradigm fac…

cs.LG2025

Empower Low-Altitude Economy: A Reliability-Aware Dynamic Weighting Allocation for Multi-modal UAV Beam Prediction

Haojin Li, Anbang Zhang, Chen Sun +4

The low-altitude economy (LAE) is rapidly expanding driven by urban air mobility, logistics drones, and aerial sensing, while fast and accurate beam prediction in uncrewed aerial v…

eess.SP2025

Semantic Radio Access Networks: Architecture, State-of-the-Art, and Future Directions

Rui Meng, Zixuan Huang, Jingshu Yan +8

Radio Access Network (RAN) is a bridge between user devices and the core network in mobile communication systems, responsible for the transmission and reception of wireless signals…

eess.SP2025

SemSteDiff: Generative Diffusion Model-based Coverless Semantic Steganography Communication

Song Gao, Rui Meng, Xiaodong Xu +6

Semantic communication (SemCom), as a novel paradigm for future communication systems, has recently attracted much attention due to its superiority in communication efficiency. How…

cs.IT2025

Minimizing Task-Oriented Age of Information for Remote Monitoring with Pre-Identification

Shuying Gan, Xijun Wang, Chao Xu +1

The emergence of new intelligent applications has fostered the development of a task-oriented communication paradigm, where a comprehensive, universal, and practical metric is cruc…

cs.IT2025

Task-oriented Age of Information for Remote Inference with Hybrid Language Models

Shuying Gan, Xijun Wang, Chenyuan Feng +4

Large Language Models (LLMs) have revolutionized the field of artificial intelligence (AI) through their advanced reasoning capabilities, but their extensive parameter sets introdu…

cs.CV2025

Take What You Need: Flexible Multi-Task Semantic Communications with Channel Adaptation

Xiang Chen, Shuying Gan, Chenyuan Feng +2

The growing demand for efficient semantic communication systems capable of managing diverse tasks and adapting to fluctuating channel conditions has driven the development of robus…

cs.IT2024★ 1 cited

Meta-Reinforcement Learning With Mixture of Experts for Generalizable Multi Access in Heterogeneous Wireless Networks

Zhaoyang Liu, Xijun Wang, Chenyuan Feng +3

This paper focuses on spectrum sharing in heterogeneous wireless networks, where nodes with different Media Access Control (MAC) protocols to transmit data packets to a common acce…

cs.LG2024

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach

Shujing Li, Yanhu Wang, Shuaishuai Guo +1

Graph data, essential in fields like knowledge representation and social networks, often involves large networks with many nodes and edges. Transmitting these graphs can be highly…