activity
20162022
most citedSemantic Communications: Principles and Challenges

272 citations · 343 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2022★ 2 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.SP2022★ 4 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.SP2022★ 3 cited

A Robust Deep Learning Enabled Semantic Communication System for Text

Xiang Peng, Zhijin Qin, Danlan Huang +4

With the advent of the 6G era, the concept of semantic communication has attracted increasing attention. Compared with conventional communication systems, semantic communication sy…

cs.IT2022★ 272 cited

Semantic Communications: Principles and Challenges

Zhijin Qin, Xiaoming Tao, Jianhua Lu +2

Semantic communication, regarded as the breakthrough beyond the Shannon paradigm, aims at the successful transmission of semantic information conveyed by the source rather than the…

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…

eess.IV2021

Perceptual Image Restoration with High-Quality Priori and Degradation Learning

Chaoyi Han, Yiping Duan, Xiaoming Tao +1

Perceptual image restoration seeks for high-fidelity images that most likely degrade to given images. For better visual quality, previous work proposed to search for solutions with…

eess.SP2021

MEC-Empowered Non-Terrestrial Network for 6G Wide-Area Time-Sensitive Internet of Things

Chengxiao Liu, Wei Feng, Xiaoming Tao +1

In the upcoming sixth-generation (6G) era, the demand for constructing a wide-area time-sensitive Internet of Things (IoT) keeps increasing. As conventional cellular technologies a…

eess.SP2021★ 40 cited

Deep Learning Based Channel Covariance Matrix Estimation with User Location and Scene Images

Weihua Xu, Feifei Gao, Jianhua Zhang +2

Channel covariance matrix (CCM) is one critical parameter for designing the communications systems. In this paper, a novel framework of the deep learning (DL) based CCM estimation…

cs.CV2019★ 2 cited

Saliency Prediction on Omnidirectional Images with Generative Adversarial Imitation Learning

Mai Xu, Li Yang, Xiaoming Tao +2

When watching omnidirectional images (ODIs), subjects can access different viewports by moving their heads. Therefore, it is necessary to predict subjects' head fixations on ODIs.…

cs.MM2016★ 20 cited

Saliency-Guided Complexity Control for HEVC Decoding

Ren Yang, Mai Xu, Zulin Wang +2

The latest High Efficiency Video Coding (HEVC) standard significantly improves coding efficiency over its previous video coding standards. The expense of such improvement is enormo…