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LS-Based Parameter Estimation of DARMA Systems with Uniformly Quantized Observations 期刊论文
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2021, 页码: 18
Authors:  Jing Lida;  Zhang Ji-Feng
Favorite  |  View/Download:8/0  |  Submit date:2021/10/26
Discrete-time linear time-invariant systems  parameter estimation  quantized output  
Periodic Solutions to Klein-Gordon Systems with Linear Couplings 期刊论文
ADVANCED NONLINEAR STUDIES, 2021, 卷号: 21, 期号: 3, 页码: 633-660
Authors:  Chen, Jianyi;  Zhang, Zhitao;  Chang, Guijuan;  Zhao, Jing
Favorite  |  View/Download:5/0  |  Submit date:2021/10/26
Wave Equation  Variational Method  Klein-Gordon System  Periodic Solutions  
Surrogate-variable-based model-free feature screening for survival data under the general censoring mechanism 期刊论文
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, 2021, 页码: 19
Authors:  Zhang, Jing;  Wang, Qihua;  Wang, Xuan
Favorite  |  View/Download:10/0  |  Submit date:2021/10/26
Feature screening  Model-free  Sure screening property  Survival data  Ultrahigh dimensionality  
The influence of inner material with different average thermal conductivity on the performance of whole insulation system for liquid hydrogen on orbit storage 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 18, 页码: 10913-10923
Authors:  Wang, Ping;  Ji, Lun;  Yuan, Jing;  An, Zhenguo;  Yan, Kaiqi;  Zhang, Jingjie
Favorite  |  View/Download:32/0  |  Submit date:2021/04/26
Passive insulation system  Inner material  Multilayer insulation  Thermal insulation performance  Liquid hydrogen on orbit storage  
An Integrative Framework for Combining Sequence and Epigenomic Data to Predict Transcription Factor Binding Sites Using Deep Learning 期刊论文
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2021, 卷号: 18, 期号: 1, 页码: 355-364
Authors:  Jing, Fang;  Zhang, Shao-Wu;  Cao, Zhen;  Zhang, Shihua
Favorite  |  View/Download:20/0  |  Submit date:2021/04/26
Bioinformatics  machine learning  transcription factors binding sites  convolutional neural networks  DNA accessibility  histone modification  
Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network 期刊论文
BMC Bioinformatics, 2020, 卷号: 21, 期号: 1
Authors:  Jing,Fang;  Zhang,Shao-Wu;  Zhang,Shihua
Favorite  |  View/Download:16/0  |  Submit date:2021/01/14
Enhancer–promoter interactions  Cell line  Convolutional neural network  Transfer learning  Gradient reversal layer  
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network 期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 16
Authors:  Jing, Fang;  Zhang, Shao-Wu;  Zhang, Shihua
Favorite  |  View/Download:20/0  |  Submit date:2021/01/14
Enhancer–  promoter interactions  Cell line  Convolutional neural network  Transfer learning  Gradient reversal layer  
A Self-test Prediction Model to Determine the Probability Risk of Non-alcoholic Fatty Liver Disease 期刊论文
BIOMEDICAL AND ENVIRONMENTAL SCIENCES, 2020, 卷号: 33, 期号: 11, 页码: 857-861
Authors:  Li Qiang;  Shen Qun Lun;  Xu Chao Nan;  Li Ming Liang;  Ma Zhi Min;  Zhang Shan;  Chen Shuo;  Zhang Min Ying;  Zhang Jing Bo;  Liu Feng;  Yang Xing Hua
Favorite  |  View/Download:18/0  |  Submit date:2021/04/26
Feature screening under missing indicator imputation with non-ignorable missing response 期刊论文
COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2020, 卷号: 149, 页码: 12
Authors:  Zhang, Jing;  Wang, Qihua;  Kang, Jian
Favorite  |  View/Download:66/0  |  Submit date:2020/06/30
Model-free  Non-ignorable nonresponse  Sure screening property  Ultrahigh dimensionality  Variable screening  
Modeling and optimization of composite thermal insulation system with HGMs and VDMLI for liquid hydrogen on orbit storage 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2020, 卷号: 45, 期号: 11, 页码: 7088-7097
Authors:  Wang, Ping;  Ji, Lun;  Yuan, Jing;  An, Zhenguo;  Yan, Kaiqi;  Zhang, Jingjie
Favorite  |  View/Download:21/0  |  Submit date:2020/05/24
Liquid hydrogen on orbit storage  Hollow glass microspheres  Variable density multilayer insulation  Optimal configuration  Thermal insulation performance