Shasha Yuan - RankMe

65 papers Journal 41Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autoencoder-aided graph convolutional networks integrating multi-view and multi-scale for improving spatial domain identification. Knowl. Based Syst. Juan Wang, Xuena Liang, Shasha Yuan, Jin-Xing Liu, Junliang Shang
2026	J	`jnl`	Cluster-Guided Contrastive Learning With Masked Autoencoder for Spatial Domain Identification Based on Spatial Transcriptomics. IEEE J. Biomed. Health Informatics Juan Wang, Qi Gao, Shasha Yuan, Junliang Shang
2026	J	`jnl`	Epileptic Seizure Prediction Using Multi-Strategy Data Augmentation and Hierarchical Contrastive Learning. IEEE J. Biomed. Health Informatics Longfei Qi, Feng Li, Junliang Shang, Daohui Ge, Shihan Wang, Shasha Yuan
2026	J	`jnl`	Integrating modularity maximization and contrastive learning for identifying spatial domain from spatial transcriptomics. Expert Syst. Appl. Qi Gao, Shasha Yuan, Shengjun Li, Juan Wang
2026	J	`jnl`	MLRR-ATV: A Robust Manifold Nonnegative Low-Rank Representation With Adaptive Total-Variation Regularization for scRNA-seq Data Clustering. IEEE Trans. Comput. Biol. Bioinform. Gao-Fei Wang, Juan Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu
2025	J	`jnl`	A Contrastive Learning-Enhanced Residual Network for Predicting Epileptic Seizures Using EEG Signals. Int. J. Neural Syst. Longfei Qi, Shasha Yuan, Feng Li, Junliang Shang, Juan Wang, Shihan Wang
2025	J	`jnl`	A Modified Transformer Network for Seizure Detection Using EEG Signals. Int. J. Neural Syst. Wenrong Hu, Juan Wang, Feng Li, Daohui Ge, Yuxia Wang, Qingwei Jia, Shasha Yuan
2025	—	`conf`	An Adaptive Single-Cell Sequencing Data Cluster Method Under Weight Fusion Constraint. BIBM Zhenchang Wang, Shasha Yuan, Feng Li, Juan Wang
2025	J	`jnl`	Dynamic momentum contrastive learning network for diabetic retinopathy grading. Eng. Appl. Artif. Intell. Yanfei Guo, Chenglong Yang, Hangli Du, Yuanke Zhang, Fei Ma, Shasha Yuan
2025	—	`conf`	Epileptic Seizure Detection Using ECA-EEGNet with Earth Mover's Distance-Based Metric Learning. BIBM Shihan Wang, Junliang Shang, Juan Wang, Longfei Qi, Shasha Yuan
2025	—	`conf`	Low-Rank Multiple Kernel Model Based on Local Structures Learning and Adaptive Similarity Preserving for scRNA-seq Data Clustering. ICIC (25) Juan Wang, Tian-Jing Qiao, Zhenduo Zhang, Chun-Hou Zheng, Shasha Yuan
2025	—	`conf`	Semi-Supervised Gaussian Mixture Variational Autoencoder with Graph Representation for Epileptic Seizure Detection. BIBM Shasha Yuan, Chenchen Jiang, Manman Yuan, Qianqian Ren, Yanfei Guo, Juan Wang
2025	—	`conf`	TAGCL-DDI: Two-Stage Augmentation-Driven Graph Contrastive Learning for Drug-Drug Interaction Prediction. BIBM Daohui Ge, Jiquan Zhao, Feng Li, Yuzhuo Yuan, Wentian Xin, Shasha Yuan
2024	J	`jnl`	A Clustering Method for Single-Cell RNA-Seq Data Based on Automatic Weighting Penalty and Low-Rank Representation. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Zhen-Chang Wang, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024	J	`jnl`	A Fusion Learning Model Based on Deep Learning for Single-Cell RNA Sequencing Data Clustering. J. Comput. Biol. Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2024	—	`conf`	Automatic Seizure Recognition Based on Data Enhancement and 1DCNN-BiLSTM Network Using EEG Signal. ICIC (LNBI 1) Wenrong Hu, Junliang Shang, Juan Wang, Jin-Xing Liu, Yuxia Wang, Shasha Yuan
2024	J	`jnl`	CMNet: Cascaded context fusion and multi-attention network for multiple lesion segmentation of diabetic retinopathy images. Biomed. Signal Process. Control. Yanfei Guo, Hangli Du, Yuanke Zhang, Fei Ma, Jing Meng, Shasha Yuan
2024	J	`jnl`	Combining EEG Features and Convolutional Autoencoder for Neonatal Seizure Detection. Int. J. Neural Syst. Yuxia Wang, Shasha Yuan, Jin-Xing Liu, Wenrong Hu, Qingwei Jia, Fangzhou Xu
2024	J	`jnl`	EEG-based epileptic seizure detection using deep learning techniques: A survey. Neurocomputing Jie Xu, Kuiting Yan, Zengqian Deng, Yankai Yang, Jin-Xin Liu, Juan Wang, Shasha Yuan
2024	J	`jnl`	Epileptic Seizure Detection with an End-to-End Temporal Convolutional Network and Bidirectional Long Short-Term Memory Model. Int. J. Neural Syst. Xingchen Dong, Yiming Wen, Dezan Ji, Shasha Yuan, Zhen Liu, Wei Shang, Weidong Zhou
2024	—	`conf`	Improve spatial domain identification for spatial transcriptomics using high-order neighbor feature hybrid graph convolutional networks. BIBM Xuena Liang, Shasha Yuan, Shengjun Li, Juan Wang
2024	—	`conf`	Seizure Types Classification Based on Multi-branch Hybrid Deep Learning Network. ICIC (4) Qingwei Jia, Jin-Xing Liu, Junling Shang, Lingyun Dai, Yuxia Wang, Wenrong Hu, Shasha Yuan
2024	J	`jnl`	Spatiotemporal Network Based on GCN and BiGRU for Seizure Detection. IEEE J. Biomed. Health Informatics Jie Xu, Shasha Yuan, Junliang Shang, Juan Wang, Kuiting Yan, Yankai Yang
2023	J	`jnl`	A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis. IEEE J. Biomed. Health Informatics Tian-Jing Qiao, Jin-Xing Liu, Junliang Shang, Shasha Yuan, Chun-Hou Zheng, Juan Wang
2023	J	`jnl`	Automatic Seizure Detection Using Logarithmic Euclidean-Gaussian Mixture Models (LE-GMMs) and Improved Deep Forest Learning. IEEE J. Biomed. Health Informatics Shasha Yuan, Xiang Liu, Junliang Shang, Jin-Xing Liu, Juan Wang, Weidong Zhou
2023	J	`jnl`	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 Ying-Lian Gao, Qian Qiao, Juan Wang, Shasha Yuan, Jin-Xing Liu
2023	—	`conf`	Epileptic EEG Signal Detection based on Uncorrelated Multilinear Principal Component Analysis and Metric Learning. BIBM Yankai Yang, Juan Wang, Jie Xu, Kuiting Yan, Shasha Yuan
2023	—	`conf`	Epileptic Seizure Detection Based on Feature Extraction and CNN-BiGRU Network with Attention Mechanism. ICIC (2) Jie Xu, Juan Wang, Jin-Xing Liu, Junliang Shang, Lingyun Dai, Kuiting Yan, Shasha Yuan
2023	J	`jnl`	Multi-View Enhanced Tensor Nuclear Norm and Local Constraint Model for Cancer Clustering and Feature Gene Selection. J. Comput. Biol. Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
2023	J	`jnl`	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 Juan Wang, Linping Wang, Shasha Yuan, Feng Li, Jin-Xing Liu, Junliang Shang
2023	—	`conf`	Seizure Prediction Based on Hybrid Deep Learning Model Using Scalp Electroencephalogram. ICIC (2) Kuiting Yan, Junliang Shang, Juan Wang, Jie Xu, Shasha Yuan
2023	—	`conf`	scGASI: A Graph Autoencoder-Based Single-Cell Integration Clustering Method. ISBRA Tian-Jing Qiao, Feng Li, Shasha Yuan, Ling-Yun Dai, Juan Wang
2022	—	`conf`	A Multi-Graph Laplacian Regularized Low-Rank Representation method for cancer sample clustering with integrated TCGA data. BIBM Juan Wang, Li-Hong Wang, Tian-Jing Qiao, Shasha Yuan
2022	—	`conf`	A Tensor Robust Model Based on Enhanced Tensor Nuclear Norm and Low-Rank Constraint for Multi-view Cancer Genomics Data. ISBRA Qian Qiao, Shasha Yuan, Junliang Shang, Jin-Xing Liu
2022	—	`conf`	An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. BIBM Zhi-yuan Li, Ying-Lian Gao, Zhen-Xin Niu, Shasha Yuan, Chun-Hou Zheng, Jin-Xing Liu
2022	J	`jnl`	Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data. BMC Bioinform. Juan Wang, Cong-Hai Lu, Xiangzhen Kong, Ling-Yun Dai, Shasha Yuan, Xiaofeng Zhang
2021	—	`conf`	Joint CC and Bimax: A Biclustering Method for Single-Cell RNA-Seq Data Analysis. ISBRA He-Ming Chu, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2021	J	`jnl`	Logistic Weighted Profile-Based Bi-Random Walk for Exploring MiRNA-Disease Associations. J. Comput. Sci. Technol. Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Juan Wang, Shasha Yuan
2021	—	`conf`	Robust Tensor Method Based on Correntropy and Tensor Singular Value Decomposition for Cancer Genomics Data. BIBM Qian Qiao, Ying-Lian Gao, Shasha Yuan, Jin-Xing Liu
2021	J	`jnl`	The Automatic Detection of Seizure Based on Tensor Distance And Bayesian Linear Discriminant Analysis. Int. J. Neural Syst. Delu Ma, Shasha Yuan, Junliang Shang, Jin-Xing Liu, Lingyun Dai, Xiangzhen Kong, Fangzhou Xu
2020	—	`conf`	Automatic Seizure Prediction based on Modified Stockwell Transform and Tensor Decomposition. BIBM Shasha Yuan, Jin-Xing Liu, Junliang Shang, Fangzhou Xu, Lingyun Dai, Xiangzhen Kong
2020	—	`conf`	Dual Graph regularized PCA based on Different Norm Constraints for Bi-clustering Analysis on Single-cell RNA-seq Data. BIBM Yu Song, Xiangzhen Kong, Jin-Xing Liu, Juan Wang, Shasha Yuan, Ling-Yun Dai
2020	J	`jnl`	Epileptic seizure prediction based on local mean decomposition and deep convolutional neural network. J. Supercomput. Zuyi Yu, Weiwei Nie, Weidong Zhou, Fangzhou Xu, Shasha Yuan, Yan Leng, Qi Yuan
2020	J	`jnl`	IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method. BMC Bioinform. Wenwen Fan, Junliang Shang, Feng Li, Yan Sun, Shasha Yuan, Jin-Xing Liu
2020	J	`jnl`	LncRNA-Disease Associations Prediction Using Bipartite Local Model With Nearest Profile-Based Association Inferring. IEEE J. Biomed. Health Informatics Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Rong Zhu, Shasha Yuan
2020	J	`jnl`	Scalp EEG classification using deep Bi-LSTM network for seizure detection. Comput. Biol. Medicine Xinmei Hu, Shasha Yuan, Fangzhou Xu, Yan Leng, Kejiang Yuan, Qi Yuan
2020	—	`conf`	Tensor Robust Principal Component Analysis with Low-Rank Weight Constraints for Sample Clustering. BIBM Yu-Ying Zhao, Maoli Wang, Juan Wang, Shasha Yuan, Jin-Xing Liu, Xiang-Zhen Kong
2019	—	`conf`	A JACK-Based Ergonomic Analysis and Design of the Cockpit of Agricultural Material Handling Vehicle. AHFE (4) Sen Gu, Sheng Su, Cheng Huang, Zhiqiang Song, Shasha Yuan
2019	J	`jnl`	Automatic seizure detection based on kernel robust probabilistic collaborative representation. Medical Biol. Eng. Comput. Zuyi Yu, Weidong Zhou, Fan Zhang, Fangzhou Xu, Shasha Yuan, Yan Leng, Yang Li, Qi Yuan
2019	J	`jnl`	Integrative graph regularized matrix factorization for drug-pathway associations analysis. Comput. Biol. Chem. Ling-Yun Dai, Chun-Hou Zheng, Jin-Xing Liu, Rong Zhu, Shasha Yuan, Juan Wang, Xiangzhen Kong
2019	J	`jnl`	L2, 1-GRMF: an improved graph regularized matrix factorization method to predict drug-target interactions. BMC Bioinform. Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan
2019	J	`jnl`	Laplacian regularized low-rank representation for cancer samples clustering. Comput. Biol. Chem. Juan Wang, Jin-Xing Liu, Xiangzhen Kong, Shasha Yuan, Ling-Yun Dai
2018	—	`conf`	A Fast Quantum Clustering Approach for Cancer Gene Clustering. BIBM Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Shasha Yuan, Ying Guo
2018	J	`jnl`	Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG. Int. J. Neural Syst. Shasha Yuan, Weidong Zhou, Liyan Chen
2018	—	`conf`	Identifying Characteristic Genes and Clustering via an Lp-Norm Robust Feature Selection Method for Integrated Data. ICIC (2) Shasha Wu, Mi-Xiao Hou, Jin-Xing Liu, Juan Wang, Shasha Yuan
2018	—	`conf`	Sparse Orthogonal Nonnegative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Tumor Samples. BIBM Ling-Yun Dai, Jin-Xing Liu, Rong Zhu, Xiangzhen Kong, Mi-Xiao Hou, Shasha Yuan
2017	J	`jnl`	A novel low-rank representation method for identifying differentially expressed genes. Int. J. Data Min. Bioinform. Xiu-Xiu Xu, Ying-Lian Gao, Jin-Xing Liu, Yaxuan Wang, Ling-Yun Dai, Xiangzhen Kong, Shasha Yuan
2017	J	`jnl`	General Commun. Nonlinear Sci. Numer. Simul. Hai-Qiang Zhang, Shasha Yuan
2017	J	`jnl`	Sparse representation-based EMD and BLDA for automatic seizure detection. Medical Biol. Eng. Comput. Shasha Yuan, Weidong Zhou, Junhui Li, Qi Wu
2016	J	`jnl`	An Improved Sparse Representation over Learned Dictionary Method for Seizure Detection. Int. J. Neural Syst. Junhui Li, Weidong Zhou, Shasha Yuan, Yanli Zhang, Chengcheng Li, Qi Wu
2016	J	`jnl`	Epileptic Seizure Detection with Log-Euclidean Gaussian Kernel-Based Sparse Representation. Int. J. Neural Syst. Shasha Yuan, Weidong Zhou, Qi Wu, Yanli Zhang
2015	J	`jnl`	Iris recognition based on a novel variation of local binary pattern. Vis. Comput. Chengcheng Li, Weidong Zhou, Shasha Yuan
2015	J	`jnl`	Kernel Collaborative Representation-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. Shasha Yuan, Weidong Zhou, Qi Yuan, Xueli Li, Qi Wu, Xiuhe Zhao, Jiwen Wang
2015	J	`jnl`	Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG. Int. J. Neural Syst. Yanli Zhang, Weidong Zhou, Shasha Yuan
2014	J	`jnl`	Epileptic EEG Classification Based on Kernel Sparse Representation. Int. J. Neural Syst. Qi Yuan, Weidong Zhou, Shasha Yuan, Xueli Li, Jiwen Wang, Guijuan Jia