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20212024
most citedComputer Vision Aided mmWave Beam Alignment in V2X Communications

4 citations · 9 across the 7 of their papers we have counts for

collaborators

6 papers

eess.IV2023

An End-Cloud Computing Enabled Surveillance Video Transmission System

Dingxi Yang, Zhijin Qin, Liting Wang +3

The enormous data volume of video poses a significant burden on the network. Particularly, transferring high-definition surveillance videos to the cloud consumes a significant amou…

cs.LG20231 cited

A robust deep learning-based damage identification approach for SHM considering missing data

Fan Deng, Xiaoming Tao, Pengxiang Wei +1

Data-driven method for Structural Health Monitoring (SHM), that mine the hidden structural performance from the correlations among monitored time series data, has received widely c…

eess.SP20232 cited

Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction

Yuwen Yang, Feifei Gao, Xiaoming Tao +2

In this paper, we propose an environment semantics aided wireless communication framework to reduce the transmission latency and improve the transmission reliability, where semanti…

cs.CV20222 cited

Towards Semantic Communications: Deep Learning-Based Image Semantic Coding

Danlan Huang, Feifei Gao, Xiaoming Tao +2

Semantic communications has received growing interest since it can remarkably reduce the amount of data to be transmitted without missing critical information. Most existing works…

eess.SP20224 cited

Computer Vision Aided mmWave Beam Alignment in V2X Communications

Weihua Xu, Feifei Gao, Xiaoming Tao +2

Visual information, captured for example by cameras, can effectively reflect the sizes and locations of the environmental scattering objects, and thereby can be used to infer commu…

eess.SP2021

Task-Oriented Multi-User Semantic Communications

Huiqiang Xie, Zhijin Qin, Xiaoming Tao +1

While semantic communications have shown the potential in the case of single-modal single-users, its applications to the multi-user scenario remain limited. In this paper, we inves…