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- University of the Basque CountryES32 papers
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- Institute of Theoretical PhysicsCN20 papers
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- Centre National de la Recherche ScientifiqueFR17 papers
- North Carolina State UniversityUS15 papers
- University of Chinese Academy of SciencesCN14 papers
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- Shanghai Jiao Tong UniversityCN10 papers
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50 papers · 1 filter
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…
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…
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…
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…
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…
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…