activity
20162024
most citedAudio-Visual Segmentation with Semantics

12 citations · 19 across the 13 of their papers we have counts for

collaborators

12 papers

cs.IT20231 cited

Double-Layer Power Control for Mobile Cell-Free XL-MIMO with Multi-Agent Reinforcement Learning

Ziheng Liu, Jiayi Zhang, Zhilong Liu +2

Cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) is regarded as a promising technology for enabling future wireless communication systems. Significant…

cs.IT20231 cited

Rate-Splitting for CF Massive MIMO Systems With Channel Aging

Jiakang Zheng, Jiayi Zhang, Hongyang Du +3

The cell-free (CF) massive multiple-input multiple-output (MIMO) system is considered a cutting-edge technology in next-generation mobile communication due to its ability to provid…

cs.IT2023

Jac-PCG Based Low-Complexity Precoding for Extremely Large-Scale MIMO Systems

Bokai Xu, Jiayi Zhang, Jiaxun Li +2

Extremely large-scale multiple-input-multipleoutput (XL-MIMO) has been reviewed as a promising technology for future sixth-generation (6G) networks to achieve higher performance. I…

cs.CV20232 cited

Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning

Weixuan Sun, Jiayi Zhang, Jianyuan Wang +6

Self-supervised audio-visual source localization aims to locate sound-source objects in video frames without extra annotations. Recent methods often approach this goal with the hel…

cs.IT2023

Uplink Power Control for Extremely Large-Scale MIMO with Multi-Agent Reinforcement Learning and Fuzzy Logic

Ziheng Liu, Zhilong Liu, Jiayi Zhang +3

In this paper, we investigate the uplink transmit power optimization problem in cell-free (CF) extremely large-scale multiple-input multiple-output (XL-MIMO) systems. Instead of ap…

cs.IT20232 cited

Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems

Hao Lei, Zhe Wang, Huahua Xiao +2

In this paper, we investigate the uplink performance of cell-free (CF) extremely large-scale multiple-input-multipleoutput (XL-MIMO) systems, which is a promising technique for fut…