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20222026
most citedExplainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions

169 citations · 374 across the 19 of their papers we have counts for

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Showing 2023Show all

10 papers · 1 filter

cs.IT2023★ 27 cited

Semantic Communication with Probability Graph: A Joint Communication and Computation Design

Zhouxiang Zhao, Zhaohui Yang, Quoc-Viet Pham +2

In this paper, we present a probability graph-based semantic information compression system for scenarios where the base station (BS) and the user share common background knowledge…

cs.CL2023★ 18 cited

Semantic Information Extraction for Text Data with Probability Graph

Zhouxiang Zhao, Zhaohui Yang, Ye Hu +2

In this paper, the problem of semantic information extraction for resource constrained text data transmission is studied. In the considered model, a sequence of text data need to b…

cs.NI2023★ 1 cited

Big AI Models for 6G Wireless Networks: Opportunities, Challenges, and Research Directions

Zirui Chen, Zhaoyang Zhang, Zhaohui Yang

Recently, big artificial intelligence models (BAIMs) represented by chatGPT have brought an incredible revolution. With the pre-trained BAIMs in certain fields, numerous downstream…

eess.SP2023

MIMO Precoding Design with QoS and Per-Antenna Power Constraints

Kaiyi Chi, Yingzhi Huang, Qianqian Yang +2

Precoding design for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems is a fundamental problem. In this paper, we aim to maximize the weighted sum rate (W…

cs.IT2023

GoMORE: Global Model Reuse for Resource-Constrained Wireless Federated Learning

Jiacheng Yao, Zhaohui Yang, Wei Xu +2

Due to the dynamics of wireless environment and limited bandwidth, wireless federated learning (FL) is challenged by frequent transmission errors and incomplete aggregation from de…

cs.CY2023★ 54 cited

Semantic-aware Digital Twin for Metaverse: A Comprehensive Review

Senthil Kumar Jagatheesaperumal, Zhaohui Yang, Qianqian Yang +4

To facilitate the deployment of digital twins in Metaverse, the paradigm with semantic awareness has been proposed as a means for enabling accurate and task-oriented information ex…

eess.SP2023

From Data-driven Learning to Physics-inspired Inferring: A Novel Mobile MIMO Channel Prediction Scheme Based on Neural ODE

Zhuoran Xiao, Zhaoyang Zhang, Zirui Chen +3

In this paper, we propose an innovative learning-based channel prediction scheme so as to achieve higher prediction accuracy and reduce the requirements of huge amounts and strict…

cs.IT2023★ 19 cited

Robust Millimeter Beamforming via Self-Supervised Hybrid Deep Learning

Fenghao Zhu, Bohao Wang, Zhaohui Yang +5

Beamforming with large-scale antenna arrays has been widely used in recent years, which is acknowledged as an important part in 5G and incoming 6G. Thus, various techniques are lev…

cs.IT2023★ 1 cited

Cooperative Task-Oriented Communication for Multi-Modal Data with Transmission Control

Shiqi Wang, Qianqian Yang, Zhiguo Shi +2

Real-time intelligence applications in Internet of Things (IoT) environment depend on timely data communication. However, it is challenging to transmit and analyse massive data of…

cs.CR2023★ 7 cited

Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaverse

Yijing Lin, Hongyang Du, Dusit Niyato +4

The construction of virtual transportation networks requires massive data to be transmitted from edge devices to Virtual Service Providers (VSP) to facilitate circulations between…