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2020 – today
- 2024
[j33]Yanfei Guo
, Hangli Du, Yuanke Zhang, Fei Ma, Jing Meng, Shasha Yuan:
CMNet: Cascaded context fusion and multi-attention network for multiple lesion segmentation of diabetic retinopathy images. Biomed. Signal Process. Control. 94: 106293 (2024)- [j32]Xingchen Dong, Yiming Wen, Dezan Ji, Shasha Yuan, Zhen Liu, Wei Shang, Weidong Zhou:
Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model. Int. J. Neural Syst. 34(3): 2450012:1-2450012:16 (2024) - [j31]Yuxia Wang, Shasha Yuan, Jin-Xing Liu, Wenrong Hu, Qingwei Jia, Fangzhou Xu:
Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. Int. J. Neural Syst. 34(8): 2450040:1-2450040:13 (2024) - [j30]Jie Xu, Kuiting Yan, Zengqian Deng, Yankai Yang, Jin-Xin Liu, Juan Wang, Shasha Yuan:
EEG-based epileptic seizure detection using deep learning techniques: A survey. Neurocomputing 610: 128644 (2024) - [j29]Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. 31(6): 576-588 (2024) - [j28]Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang:
A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 360-371 (2024) - [j27]Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang:
Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics 28(4): 2037-2046 (2024) - [c18]Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan:
Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) 2024: 370-379 - [c17]Qingwei Jia, Jin-Xing Liu, Junling Shang, Lingyun Dai, Yuxia Wang, Wenrong Hu, Shasha Yuan:
Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network. ICIC (4) 2024: 462-474 - 2023
- [j26]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. 30(8): 889-899 (2023) - [j25]Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou:
Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics 27(3): 1386-1396 (2023) - [j24]Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang:
A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics 27(5): 2575-2584 (2023) - [j23]Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu:
BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data. IEEE J. Biomed. Health Informatics 27(10): 5187-5198 (2023) - [j22]Juan Wang, Lin-Ping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang:
NLRRC: A Novel Clustering Method of Jointing Non-Negative LRR and Random Walk Graph Regularized NMF for Single-Cell Type Identification. IEEE J. Biomed. Health Informatics 27(10): 5199-5209 (2023) - [c16]Yankai Yang, Juan Wang, Jie Xu, Kuiting Yan, Shasha Yuan:
Epileptic EEG Signal Detection based on Uncorrelated Multilinear Principal Component Analysis and Metric Learning. BIBM 2023: 2593-2600 - [c15]Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan:
Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) 2023: 272-282 - [c14]Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan:
Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) 2023: 308-319 - [c13]Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang:
scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA 2023: 178-189 - 2022
- [j21]Juan Wang, Cong-Hai Lu, Xiang-Zhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang:
Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. 22-S(12): 334 (2022) - [c12]Zhi-Yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu:
An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. BIBM 2022: 2088-2094 - [c11]Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan:
A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM 2022: 3179-3186 - [c10]Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu:
A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA 2022: 381-388 - 2021
- [j20]Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu:
The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. 31(5): 2150006:1-2150006:15 (2021) - [j19]Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan:
Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. 36(2): 276-287 (2021) - [c9]Qian Qiao, Ying-Lian Gao, Shasha Yuan, Jin-Xing Liu:
Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. BIBM 2021: 509-514 - [c8]He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA 2021: 499-510 - 2020
- [j18]Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu:
IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. 21(1): 339 (2020) - [j17]Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan, Qi Yuan:
Scalp EEG classification using deep Bi-LSTM network for seizure detection. Comput. Biol. Medicine 124: 103919 (2020) - [j16]Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Rong Zhu, Shasha Yuan:
LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring. IEEE J. Biomed. Health Informatics 24(5): 1519-1527 (2020) - [j15]Zuyi Yu, Weiwei Nie, Weidong Zhou, Fangzhou Xu, Shasha Yuan, Yan Leng, Qi Yuan:
Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network. J. Supercomput. 76(5): 3462-3476 (2020) - [c7]Yu Song, Xiang-Zhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai:
Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM 2020: 92-95 - [c6]Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong:
Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM 2020: 397-401 - [c5]Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong:
Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM 2020: 1503-1509
2010 – 2019
- 2019
- [j14]Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan:
L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. 20-S(8): 287:1-287:13 (2019) - [j13]Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiang-Zhen Kong:
Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. 78: 474-480 (2019) - [j12]Juan Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shasha Yuan, Ling-Yun Dai:
Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. 78: 504-509 (2019) - [j11]Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan:
Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical Biol. Eng. Comput. 57(1): 205-219 (2019) - [c4]Sen Gu, Sheng Su, Cheng Huang, Zhiqiang Song, Shasha Yuan:
A JACK-Based Ergonomic Analysis and Design of the Cockpit of Agricultural Material Handling Vehicle. AHFE (4) 2019: 538-550 - 2018
- [j10]Shasha Yuan, Weidong Zhou, Liyan Chen:
Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG. Int. J. Neural Syst. 28(1): 1750043:1-1750043:12 (2018) - [c3]Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong, Mi-Xiao Hou, Shasha Yuan:
Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM 2018: 1332-1337 - [c2]Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo:
A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM 2018: 1610-1613 - [c1]Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan:
Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. ICIC (2) 2018: 419-431 - 2017
- [j9]Hai-Qiang Zhang, Shasha Yuan:
General N-dark vector soliton solution for multi-component defocusing Hirota system in optical fiber media. Commun. Nonlinear Sci. Numer. Simul. 51: 124-132 (2017) - [j8]Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiang-Zhen Kong, Shasha Yuan:
A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. 19(3): 185-201 (2017) - [j7]Shasha Yuan, Weidong Zhou, Junhui Li, Qi Wu:
Sparse representation-based EMD and BLDA for automatic seizure detection. Medical Biol. Eng. Comput. 55(8): 1227-1238 (2017) - 2016
- [j6]Junhui Li, Weidong Zhou, Shasha Yuan, Yanli Zhang, Chengcheng Li, Qi Wu:
An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection. Int. J. Neural Syst. 26(1): 1550035:1-1550035:15 (2016) - [j5]Shasha Yuan, Weidong Zhou, Qi Wu, Yanli Zhang:
Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation. Int. J. Neural Syst. 26(3): 1650011:1-1650011:15 (2016) - 2015
- [j4]Shasha Yuan, Weidong Zhou, Qi Yuan, Xueli Li, Qi Wu, Xiuhe Zhao, Jiwen Wang:
Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. 25(2): 1550003:1-1550003:13 (2015) - [j3]Yanli Zhang, Weidong Zhou, Shasha Yuan:
Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. 25(6): 1550020:1-1550020:14 (2015) - [j2]Chengcheng Li, Weidong Zhou, Shasha Yuan:
Iris recognition based on a novel variation of local binary pattern. Vis. Comput. 31(10): 1419-1429 (2015) - 2014
- [j1]Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia:
Epileptic EEG Classification Based on Kernel Sparse Representation. Int. J. Neural Syst. 24(4) (2014)
Coauthor Index
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