most citedMulti-modal Contrastive Representation Learning for Entity Alignment

26 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2023

On the Performance of RIS-Aided Spatial Scattering Modulation for mmWave Transmission

Xusheng Zhu, Wen Chen, Zhendong Li +4

In this paper, we investigate a state-of-the-art reconfigurable intelligent surface (RIS)-assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) systems,…

cs.IT2023

RIS-Aided Spatial Scattering Modulation for mmWave MIMO Transmissions

Xusheng Zhu, Wen Chen, Zhendong Li +4

This paper investigates the reconfigurable intelligent surface (RIS) assisted spatial scattering modulation (SSM) scheme for millimeter-wave (mmWave) multiple-input multiple-output…

eess.SP2023

Intelligent Omni Surfaces assisted Integrated Multi Target Sensing and Multi User MIMO Communications

Ziheng Zhang, Wen Chen, Qingqing Wu +3

Drawing inspiration from the advantages of intelligent reflecting surfaces (IRS) in wireless networks,this paper presents a novel design for intelligent omni surface (IOS) enabled…

cs.CL202226 cited

Multi-modal Contrastive Representation Learning for Entity Alignment

Zhenxi Lin, Ziheng Zhang, Meng Wang +3

Multi-modal entity alignment aims to identify equivalent entities between two different multi-modal knowledge graphs, which consist of structural triples and images associated with…

cs.CV20227 cited

Neuro-Symbolic Learning: Principles and Applications in Ophthalmology

Muhammad Hassan, Haifei Guan, Aikaterini Melliou +24

Neural networks have been rapidly expanding in recent years, with novel strategies and applications. However, challenges such as interpretability, explainability, robustness, safet…