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科研机构
数学与系统科学研究... [42]
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期刊论文 [42]
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2022 [3]
2021 [2]
2020 [3]
2019 [3]
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内容类型:期刊论文
专题:数学与系统科学研究院
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Distributed stochastic gradient tracking methods with momentum acceleration for non-convex optimization
期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2022, 页码: 42
作者:
Gao, Juan
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Huang, Yakui
;
Gu, Junhua
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/07
Distributed non-convex optimization
Machine learning
Momentum methods
Optimization algorithms
Convergence rate
VP-Detector: A 3D multi-scale dense convolutional neural network for macromolecule localization and classification in cryo-electron tomograms
期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 14
作者:
Hao, Yu
;
Wan, Xiaohua
;
Yan, Rui
;
Liu, Zhiyong
;
Li, Jintao
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/02/07
Cryo-ET
Sub-tomogram averaging
Particle localization
Particle classification
Convolutional neural networks
Distributed Filter With Biased Measurements: A Scalable Bias-Correction Approach
期刊论文
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS, 2022, 卷号: 8, 页码: 844-854
作者:
Zhang, Xiaocheng
;
Xue, Wenchao
;
He, Xingkang
;
Fang, Haitao
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  |  
浏览/下载:2/0
  |  
提交时间:2023/02/07
State estimation
Kalman filters
Estimation
Symmetric matrices
Robot sensing systems
Scalability
Observability
Sensor network
measurement bias
bias estimator
distributed filter
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 15
作者:
Liu, Yixin
;
Li, Zhao
;
Pan, Shirui
;
Gong, Chen
;
Zhou, Chuan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Anomaly detection
Task analysis
Graph neural networks
Unsupervised learning
Predictive models
Pattern matching
Training
Anomaly detection
attributed networks
contrastive self-supervised learning
graph neural networks (GNNs)
unsupervised learning
AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks
期刊论文
IEEE-ACM TRANSACTIONS ON NETWORKING, 2021, 卷号: 29, 期号: 1, 页码: 17-33
作者:
Guo, Zehua
;
Xu, Yang
;
Liu, Ya-Feng
;
Liu, Sen
;
Chao, H. Jonathan
收藏
  |  
浏览/下载:63/0
  |  
提交时间:2021/04/26
Load management
Control systems
Quality of service
Data centers
Power demand
Dynamic scheduling
Flow scheduling
power-efficient data center networks
power saving
OpenFlow
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:61/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
NeuralEE: A GPU-Accelerated Elastic Embedding Dimensionality Reduction Method for Visualizing Large-Scale scRNA-Seq Data
期刊论文
FRONTIERS IN GENETICS, 2020, 卷号: 11, 页码: 8
作者:
Xiong, Jiankang
;
Gong, Fuzhou
;
Wan, Lin
;
Ma, Liang
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/01/14
single-cell RNA sequencing
elastic embedding
neural networks
large-scale
stochastic optimization
parametric models
generalizable models
Recovering Network Structures With Time-Varying Nodal Parameters
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 7, 页码: 2588-2598
作者:
Wang, Xiong
;
Lu, Jinhu
;
Wu, Xiaoqun
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/09/23
Complex networks
Time-varying systems
Taylor series
Power system dynamics
Vehicle dynamics
Topology
Complex network
Lasso method
network reconstruction
time-varying nodal parameter
Artificial neural network approach to large-eddy simulation of compressible isotropic turbulence
期刊论文
PHYSICAL REVIEW E, 2019, 卷号: 99, 期号: 5, 页码: 21
作者:
Xie, Chenyue
;
Wang, Jianchun
;
Li, Ke
;
Ma, Chao
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2020/01/10
Identifying topologies and system parameters of uncertain time-varying delayed complex networks
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2019, 卷号: 62, 期号: 1, 页码: 94-105
作者:
Wang Xiong
;
Gu HaiBo
;
Wang QianYao
;
Lu JinHu
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/04/02
system parameters and network topologies identification
anticipatory synchronization
uncertain time-varying delayed complex networks
noise-perturbed complex networks
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