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20042024
most citedReview of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19

1k citations

Showing 2020Show all

50 papers · 1 filter

cs.IT20203 cited

Analyzing Age of Information in Multiaccess Networks by Fluid Limits

Zhiyuan Jiang

In this paper, we adopt the fluid limits to analyze Age of Information (AoI) in a wireless multiaccess network with many users. We consider the case wherein users have heterogeneou…

eess.SY20202 cited

Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise

Li Liu, Wenju Zhou, Minrui Fei +3

This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method ba…

cs.CL20204 cited

A hybrid deep-learning approach for complex biochemical named entity recognition

Jian Liu, Lei Gao, Sujie Guo +6

Named entity recognition (NER) of chemicals and drugs is a critical domain of information extraction in biochemical research. NER provides support for text mining in biochemical re…

math.NA20201 cited

A contribution to condition numbers of the multidimensional total least squares problem with linear equality constraint

Qiaohua Liu, Zhigang Jia, Yimin Wei

This paper is devoted to condition numbers of the multidimensional total least squares problem with linear equality constraint (TLSE). Based on the perturbation theory of invariant…

cs.CV202019 cited

Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion

Xu Yan, Jiantao Gao, Jie Li +4

LiDAR point cloud analysis is a core task for 3D computer vision, especially for autonomous driving. However, due to the severe sparsity and noise interference in the single sweep…

cs.LG20203 cited

Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

S. Hu, X. Chen, W. Ni +2

Distributed machine learning (DML) techniques, such as federated learning, partitioned learning, and distributed reinforcement learning, have been increasingly applied to wireless…