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Graph meets probabilistic generation model: A new perspective for graph disentanglement 期刊论文
PATTERN RECOGNITION, 2024, 卷号: 148, 页码: 11
作者:  Peng, Zouzhang;  Zheng, Shuai;  Zhu, Zhenfeng;  Liu, Zhizhe;  Cheng, Jian;  Dong, Honghui;  Zhao, Yao
收藏  |  浏览/下载：35/0  |  提交时间：2024/02/22
Graph representation learning  Graph disentanglement  Probabilistic generation model  
Missing data imputation and classification of small sample missing time series data based on gradient penalized adversarial multi-task learning 期刊论文
APPLIED INTELLIGENCE, 2024, 页码: 23
作者:  Liu, Jing-Jing;  Yao, Jie-Peng;  Liu, Jin-Hang;  Wang, Zhong-Yi;  Huang, Lan
收藏  |  浏览/下载：9/0  |  提交时间：2024/03/27
Missing time series data  Small samples  Imputation  Classification  Gradient penalized adversarial Multitasking  
DERnet: a deep neural network for end-to-end reconstruction in magnetic particle imaging 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 1, 页码: 15
作者:  Peng, Zhengyao;  Yin, Lin;  Sun, Zewen;  Liang, Qian;  Ma, Xiaopeng;  An, Yu;  Tian, Jie;  Du, Yang
收藏  |  浏览/下载：41/0  |  提交时间：2024/02/22
magnetic particle imaging  end-to-end reconstruction  deep learning  image reconstruction  
Many-body Hilbert space scarring on a superconducting processor 期刊论文
NATURE PHYSICS, 2022, 页码: 9
作者:  Zhang, Pengfei;  Dong, Hang;  Gao, Yu;  Zhao, Liangtian;  Hao, Jie;  Desaules, Jean-Yves;  Guo, Qiujiang;  Chen, Jiachen;  Deng, Jinfeng;  Liu, Bobo;  Ren, Wenhui;  Yao, Yunyan;  Zhang, Xu;  Xu, Shibo;  Wang, Ke;  Jin, Feitong;  Zhu, Xuhao;  Zhang, Bing;  Li, Hekang;  Song, Chao;  Wang, Zhen;  Liu, Fangli;  Papic, Zlatko;  Ying, Lei;  Wang, H.;  Lai, Ying-Cheng
收藏  |  浏览/下载：237/0  |  提交时间：2022/11/14
Improving Convolutional Neural Networks with Competitive Activation Function 期刊论文
SECURITY AND COMMUNICATION NETWORKS, 2021, 卷号: 2021, 页码: 9
作者:  Ying, Yao;  Zhang, Nengbo;  He, Ping;  Peng, Silong
收藏  |  浏览/下载：137/0  |  提交时间：2021/08/15
A nonlinear calibration transfer method based on joint kernel subspace 期刊论文
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2021, 卷号: 210, 页码: 14
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Wang, Shuyu;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：160/0  |  提交时间：2021/05/06
Calibration transfer  Multivariate calibration  Joint kernel subspace  Kernel partial least squares (KPLS)  
PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid 期刊论文
APPLIED INTELLIGENCE, 2021, 页码: 13
作者:  Ying, Yao;  Zhang, Nengbo;  Shan, Peng;  Miao, Ligang;  Sun, Peng;  Peng, Silong
收藏  |  浏览/下载：168/0  |  提交时间：2021/05/06
Activation function  Sigmoid  Parametric sigmoid  Squeeze-and-excitation  Convolutional neural network  
A CNN -based comparing network for the detection of steady-state visual evoked potential responses 期刊论文
NEUROCOMPUTING, 2020, 卷号: 403, 页码: 452-461
作者:  Xing, Jiezhen;  Qiu, Shuang;  Ma, Xuelin;  Wu, Chenyao;  Li, Jinpeng;  Wang, Shengpei;  He, Huiguang
Adobe PDF(2141Kb)  |  收藏  |  浏览/下载：287/60  |  提交时间：2020/08/03
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Ying, Yao;  Peng, Silong
收藏  |  浏览/下载：184/0  |  提交时间：2020/03/30
Calibration transfer  Principal component analysis (PCA)  Kernel principal component analysis (KPCA)  Multivariate calibration  Joint spectral subspace  Partial least squares (PLS)  
Stacked ensemble extreme learning machine coupled with Partial Least Squares-based weighting strategy for nonlinear multivariate calibration 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2019, 卷号: 215, 页码: 97-111
作者:  Shan, Peng;  Zhao, Yuhui;  Wang, Qiaoyun;  Sha, Xiaopeng;  Lv, Xiaoyong;  Peng, Silong;  Ying, Yao
收藏  |  浏览/下载：159/0  |  提交时间：2019/12/16
Extreme learning machine (ELM)  Partial least squares (PLS)  Nonlinear multivariate calibration  Stacked generalization