98 citations · 126 across the 8 of their papers we have counts for
8 papers
Impact and Calibration of Nonlinear Reciprocity Mismatch in Massive MIMO
Rongjiang Nie, Li Chen, Nan Zhao +3
Time-division-duplexing massive multiple-input multiple-output (MIMO) systems estimate the channel state information (CSI) by leveraging the uplink-downlink channel reciprocity, wh…
RS-MetaNet: Deep meta metric learning for few-shot remote sensing scene classification
Haifeng Li, Zhenqi Cui, Zhiqing Zhu +4
Training a modern deep neural network on massive labeled samples is the main paradigm in solving the scene classification problem for remote sensing, but learning from only a few d…
Generative Model without Prior Distribution Matching
Cong Geng, Jia Wang, Li Chen +1
Variational Autoencoder (VAE) and its variations are classic generative models by learning a low-dimensional latent representation to satisfy some prior distribution (e.g., Gaussia…
Composite Signalling for DFRC: Dedicated Probing Signal or Not?
Li Chen, Fan Liu, Jun Liu +1
Dual-functional radar-communication (DFRC) is a promising new solution to simultaneously probe the radar target and transmit information in wireless networks. In this paper, we stu…
Xiaomingbot: A Multilingual Robot News Reporter
Runxin Xu, Jun Cao, Mingxuan Wang +10
This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translat…
Automated Intracranial Artery Labeling using a Graph Neural Network and Hierarchical Refinement
Li Chen, Thomas Hatsukami, Jenq-Neng Hwang +1
Automatically labeling intracranial arteries (ICA) with their anatomical names is beneficial for feature extraction and detailed analysis of intracranial vascular structures. There…