most citedHybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

3 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT20232 cited

DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation

Shicong Liu, Xianghao Yu, Zhen Gao +1

Future sixth-generation (6G) systems are expected to leverage extremely large-scale multiple-input multiple-output (XL-MIMO) technology, which significantly expands the range of th…

cs.CL2023

Transformer-based Joint Source Channel Coding for Textual Semantic Communication

Shicong Liu, Zhen Gao, Gaojie Chen +2

The Space-Air-Ground-Sea integrated network calls for more robust and secure transmission techniques against jamming. In this paper, we propose a textual semantic transmission fram…

eess.SP20233 cited

Hybrid Knowledge-Data Driven Channel Semantic Acquisition and Beamforming for Cell-Free Massive MIMO

Zhen Gao, Shicong Liu, Yu Su +2

This paper focuses on advancing outdoor wireless systems to better support ubiquitous extended reality (XR) applications, and close the gap with current indoor wireless transmissio…

cs.CV20162 cited

Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search

Shicong Liu, Hongtao Lu

Recent advance of large scale similarity search involves using deeply learned representations to improve the search accuracy and use vector quantization methods to increase the sea…

cs.MM2016

Generalized residual vector quantization for large scale data

Shicong Liu, Junru Shao, Hongtao Lu

Vector quantization is an essential tool for tasks involving large scale data, for example, large scale similarity search, which is crucial for content-based information retrieval…