Jin-Xing Liu - RankMe

223 papers B 1Journal 129Unranked 93

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multi-objective multi-stage genetic algorithm for community detection in biological networks. Future Gener. Comput. Syst. Mingyuan Bi, Junliang Shang, Yahan Li, Anqi Xu, Yaxuan Zhang, Feng Li, Jin-Xing Liu
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`	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
2026	J	`jnl`	MsDGCN: multi-scale diffusion graph convolutional network for the prediction of drug-disease association. J. Comput. Aided Mol. Des. Xiaotong Kong, Yan Sun, Junliang Shang, Xiaohan Zhang, Xiaoqi Tang, Hanxiang Wang, Defu Qiu, Yuanke Zhang, Jin-Xing Liu
2025	—	`conf`	A Neighborhood Selection Learning Artificial Bee Colony Algorithm Based on Population Backtracking for Detecting Epistatic Interactions. ISBRA (1) Yan Sun, Xiaoqi Tang, Linqian Zhao, Yaxuan Zhang, Junliang Shang, Feng Li, Jin-Xing Liu
2025	—	`conf`	A Scalable and Unified Hierarchical Coarsening Hypergraph Framework for Single-Cell Multi-Omics Data Analysis. BIBM Ke-Ze Yu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2025	J	`jnl`	AGDFCDA: Adaptive graph convolutional network and dual feature for circRNA-disease association prediction. J. Comput. Sci. Yan Zhao, Xin He, Junliang Shang, Daohui Ge, Jin-Xing Liu
2025	J	`jnl`	BIGFormer: A Graph Transformer With Local Structure Awareness for Diagnosis and Pathogenesis Identification of Alzheimer's Disease Using Imaging Genetic Data. IEEE J. Biomed. Health Informatics Qi Zou, Junliang Shang, Jin-Xing Liu, Rui Gao
2025	—	`conf`	Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering. ISBRA (1) Baojuan Qin, Junliang Shang, Yan Zhao, Xiaohan Zhang, Feng Li, Jin-Xing Liu
2025	—	`conf`	PDA-PAGCN: Predicting Disease-Related PiRNA Based on Proxy Attention Graph Convolutional Network. ICIC (26) Xiaotong Kong, Xianghan Meng, Junliang Shang, Linqian Zhao, Yuanyuan Zhang, Jin-Xing Liu
2025	J	`jnl`	RPMVCDA: Random Perturbation and Multi-View Graph Convolutional Networks for CircRNA-Disease Association Prediction. IEEE Trans. Comput. Biol. Bioinform. Xin He, Junliang Shang, Daohui Ge, Feng Li, Jin-Xing Liu
2025	J	`jnl`	SpaMGAN: Multi-view graph augmentation network for spatial domain identification in spatial transcriptomics. Knowl. Based Syst. Hao Liu, Yue Gao, Cui-Na Jiao, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Yan-Li Wang
2025	J	`jnl`	TEMCL: Prediction of Drug-Disease Associations Based on Transformer and Enhanced Multi-View Contrastive Learning. IEEE J. Biomed. Health Informatics Ming-Li Cui, Cui-Na Jiao, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
2025	—	`conf`	WMCTCF: A Wavelet and Multi-scale Convolution Based Transformer Cross-Modal Framework for Early Diagnosis of Alzheimer's Disease. ICIC (27) Shang Wang, Ling Wang, Yunyi Qin, Donglin Xie, Jin-Xing Liu, Chunhou Zheng, Lili Han, Xinchun Cui
2025	—	`conf`	scGZDC: Graph-Based ZINB Deep Clustering for Single-Cell RNA-Seq Data. BIBM Hui-Bo Tian, Xiangzhen Kong, Jin-Xing Liu, Junliang Shang, Juan Wang, Ling-Yun Dai
2025	J	`jnl`	stDGAC: A novel identifying spatial domains method via graph attention contrastive network for spatial transcriptomics data. Comput. Biol. Medicine Jing Jing, Yue Gao, Ying-Lian Gao, Feng Li, Juan Wang, Jin-Xing Liu
2025	J	`jnl`	stMHCG: High-confidence multi-view clustering for identification of spatial domains from spatially resolved transcriptomics. Neurocomputing Xiaohan Zhang, Junliang Shang, Yan Zhao, Baojuan Qin, Qianqian Ren, Feng Li, Jin-Xing Liu
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 Delayed Spiking Neural Membrane System for Adaptive Nearest Neighbor-Based Density Peak Clustering. Int. J. Neural Syst. Qianqian Ren, Lianlian Zhang, Shaoyi Liu, Jin-Xing Liu, Junliang Shang, Xiyu Liu
2024	J	`jnl`	A Multiscale Hybrid Attention Networks Based on Multiview Images for the Diagnosis of Parkinson's Disease. IEEE Trans. Instrum. Meas. Xinchun Cui, Youshi Zhou, Chao Zhao, Jianlong Li, Xiangwei Zheng, Xiuli Li, Shixiao Shan, Jin-Xing Liu, Xiaoli Liu
2024	J	`jnl`	A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. IEEE Trans. Neural Networks Learn. Syst. Dai-Jun Zhang, Ying-Lian Gao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
2024	J	`jnl`	A New Graph Autoencoder-Based Multi-Level Kernel Subspace Fusion Framework for Single-Cell Type Identification. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Tian-Jing Qiao, Chun-Hou Zheng, Jin-Xing Liu, Junliang Shang
2024	—	`conf`	A Particle Swarm Optimization Algorithm Based on Multi-Population Mutual Learning for SNP-SNP Interaction Detection. BIBM Linqian Zhao, Yahan Li, Junliang Shang, Qianqian Ren, Yuanyuan Zhang, Jin-Xing Liu
2024	—	`conf`	A multi-objective genetic algorithm based on neighborhood coevolution for community detection. BIBM Mingyuan Bi, Junliang Shang, Xiaotong Kong, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
2024	J	`jnl`	A review of recent advances in spatially resolved transcriptomics data analysis. Neurocomputing Yue Gao, Ying-Lian Gao, Jing Jing, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
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	—	`conf`	CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. ISBRA (2) Junliang Shang, Yahan Li, Xiaohan Zhang, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
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	—	`conf`	DAResNet-ViT: A Novel Hybrid Network for the Early Diagnosis of Alzheimer's Disease Using Multi-View sMRI and Multimodal Analysis. BIBM Yaozu Li, Donglin Xie, Jin-Xing Liu, Chunhou Zheng, Xinchun Cui
2024	—	`conf`	Deep Hyper-Laplacian Regularized Self-representation Learning Based Structured Association Analysis for Brain Imaging Genetics. ISBRA (1) Shuang-Qing Wang, Cui-Na Jiao, Tian-Ru Wu, Xinchun Cui, Chun-Hou Zheng, Jin-Xing Liu
2024	J	`jnl`	Deep Self-Reconstruction Fusion Similarity Hashing for the Diagnosis of Alzheimer's Disease on Multi-Modal Data. IEEE J. Biomed. Health Informatics Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Yan-Li Wang, Chun-Hou Zheng, Jin-Xing Liu
2024	J	`jnl`	Diagnosis-Guided Deep Subspace Clustering Association Study for Pathogenetic Markers Identification of Alzheimer's Disease Based on Comparative Atlases. IEEE J. Biomed. Health Informatics Cui-Na Jiao, Junliang Shang, Feng Li, Xinchun Cui, Yan-Li Wang, Ying-Lian Gao, Jin-Xing Liu
2024	J	`jnl`	Discriminative Domain Adaption Network for Simultaneously Removing Batch Effects and Annotating Cell Types in Single-Cell RNA-Seq. IEEE ACM Trans. Comput. Biol. Bioinform. Qi Zhu, Aizhen Li, Zheng Zhang, Chuhang Zheng, Junyong Zhao, Jin-Xing Liu, Daoqiang Zhang, Wei Shao
2024	J	`jnl`	Enhancing Spatial Domain Identification in Spatially Resolved Transcriptomics Using Graph Convolutional Networks With Adaptively Feature-Spatial Balance and Contrastive Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Xuena Liang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2024	B	`conf`	FPRes-Net: Feature Pyramid-Based Residual Network for Alzheimer's Disease Diagnosis. SMC Yueheng Zhang, Xiaoshuang Zhang, Yaozu Li, Jinfeng Wu, Jin-Xing Liu, Chunhou Zheng, Xinchun Cui
2024	J	`jnl`	FSCME: A Feature Selection Method Combining Copula Correlation and Maximal Information Coefficient by Entropy Weights. IEEE J. Biomed. Health Informatics Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Cui-Na Jiao, Jin-Xing Liu
2024	J	`jnl`	Heterogeneous network and graph attention auto-encoder for LncRNA-disease association prediction. CoRR Jin-Xing Liu, Wen-Yu Xi, Ling-Yun Dai, Chun-Hou Zheng, Ying-Lian Gao
2024	—	`conf`	Integrating Local and Global Information to Decipher Spatial Domains of Spatial Transcriptomics by Attention-based Graph Convolutional Network. BIBM Xu-Ran Dou, Yue Gao, Junliang Shang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu
2024	J	`jnl`	KFDAE: CircRNA-Disease Associations Prediction Based on Kernel Fusion and Deep Auto-Encoder. IEEE J. Biomed. Health Informatics Wen-Yue Kang, Ying-Lian Gao, Ying Wang, Feng Li, Jin-Xing Liu
2024	J	`jnl`	LncRNA-disease association prediction method based on heterogeneous information completion and convolutional neural network. CoRR Wen-Yu Xi, Juan Wang, Yu-lin Zhang, Jin-Xing Liu, Ying-Lian Gao
2024	J	`jnl`	M IEEE J. Biomed. Health Informatics Shuang Wang, Jin-Xing Liu, Feng Li, Juan Wang, Ying-Lian Gao
2024	J	`jnl`	MGCNRF: Prediction of Disease-Related miRNAs Based on Multiple Graph Convolutional Networks and Random Forest. IEEE Trans. Neural Networks Learn. Syst. Yi Yang, Yan Sun, Feng Li, Boxin Guan, Jin-Xing Liu, Junliang Shang
2024	—	`conf`	MNGCCL: Multi-neighborhood graph collaborative contrastive learning for drug-disease association prediction. BIBM Cheng-Long Mi, Jin-Xing Liu, Xu Wang, Junliang Shang, Rong Zhu, Juan Wang, Ling-Yun Dai
2024	J	`jnl`	Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao
2024	J	`jnl`	Multi-modal imaging genetics data fusion by deep auto-encoder and self-representation network for Alzheimer's disease diagnosis and biomarkers extraction. Eng. Appl. Artif. Intell. Cui-Na Jiao, Ying-Lian Gao, Dao-Hui Ge, Junliang Shang, Jin-Xing Liu
2024	—	`conf`	SGEGCAE: A Sparse Gating Enhanced Graph Convolutional Autoencoder for Multi-omics Data Integration and Classification. ICIC (LNBI 1) Junliang Shang, Limin Zhang, Linqian Zhao, Xin He, Yan Zhao, Daohui Ge, Jin-Xing Liu, Feng Li
2024	J	`jnl`	SGFCCDA: Scale Graph Convolutional Networks and Feature Convolution for circRNA-Disease Association Prediction. IEEE J. Biomed. Health Informatics Junliang Shang, Linqian Zhao, Xin He, Xianghan Meng, Limin Zhang, Daohui Ge, Feng Li, Jin-Xing Liu
2024	J	`jnl`	SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. Knowl. Based Syst. Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu
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	—	`conf`	SeizureGuard: an adaptive fusion converter model for seizure prediction. BIBM Wen-Xin Pan, Rong Zhu, Jin-Xing Liu, Junliang Shang
2024	J	`jnl`	SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model. Quant. Biol. Yahan Li, Xinrui Cai, Junliang Shang, Yuanyuan Zhang, Jin-Xing Liu
2024	—	`conf`	stMCFN: A Multi-view Contrastive Fusion Method for Spatial Domain Identification in Spatial Transcriptomics. ICIC (LNBI 1) Jing Jing, Ying-Lian Gao, Yue Gao, Dao-Hui Ge, Chun-Hou Zheng, Jin-Xing Liu
2023	J	`jnl`	A Graph Representation Approach Based on Light Gradient Boosting Machine for Predicting Drug-Disease Associations. J. Comput. Biol. Ying Wang, Jin-Xing Liu, Juan Wang, Junliang Shang, Ying-Lian Gao
2023	J	`jnl`	A Method Based On Dual-Network Information Fusion to Predict MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Feng Zhou, Meng-Meng Yin, Jing-Xiu Zhao, Junliang Shang, Jin-Xing Liu
2023	J	`jnl`	A New Binary Biclustering Algorithm Based on Weight Adjacency Difference Matrix for Analyzing Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. He-Ming Chu, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Han Zhang
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	—	`conf`	ABCAE: Artificial Bee Colony Algorithm with Adaptive Exploitation for Epistatic Interaction Detection. ISBRA Qianqian Ren, Yahan Li, Feng Li, Jin-Xing Liu, Junliang Shang
2023	J	`jnl`	ARGLRR: A Sparse Low-Rank Representation Single-Cell RNA-Sequencing Data Clustering Method Combined with a New Graph Regularization. J. Comput. Biol. Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, 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	J	`jnl`	DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer. BMC Bioinform. Junliang Shang, Xuhui Zhu, Yan Sun, Feng Li, Xiangzhen Kong, Jin-Xing Liu
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`	GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data. IEEE J. Biomed. Health Informatics Junliang Shang, Qi Zou, Qianqian Ren, Boxin Guan, Feng Li, Jin-Xing Liu, Yan Sun
2023	—	`conf`	GRPGAT: Predicting CircRNA-disease Associations Based on Graph Random Propagation Network and Graph Attention Network. BIBM Wen-Yue Kang, Chun-Hou Zheng, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
2023	J	`jnl`	Identification of Disease-Associated MicroRNAs Via Locality-Constrained Linear Coding-Based Ensemble Learning. J. Comput. Biol. Yi Shen, Ying-Lian Gao, Juan Wang, Boxin Guan, Jin-Xing Liu
2023	J	`jnl`	KGLRR: A low-rank representation K-means with graph regularization constraint method for Single-cell type identification. Comput. Biol. Chem. Linping Wang, Jin-Xing Liu, Junliang Shang, Xiangzhen Kong, Boxin Guan, Juan Wang
2023	—	`conf`	LANCMDA: Predicting MiRNA-Disease Associations via LightGBM with Attributed Network Construction. ICIC (3) Xu-Ran Dou, Wen-Yu Xi, Tian-Ru Wu, Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao
2023	J	`jnl`	LDCMFC: Predicting Long Non-Coding RNA and Disease Association Using Collaborative Matrix Factorization Based on Correntropy. IEEE ACM Trans. Comput. Biol. Bioinform. Wen-Yu Xi, Feng Zhou, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng
2023	—	`conf`	MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. BIBM Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao
2023	—	`conf`	MLQP: A Machine Learning Based Quadratic Prediction Method for MiRNA-Disease Associations. BIBM Xu Wang, Ling-Yun Dai, Jin-Xing Liu, Shuang Wang
2023	J	`jnl`	MSF-LRR: Multi-Similarity Information Fusion Through Low-Rank Representation to Predict Disease-Associated Microbes. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng
2023	J	`jnl`	MSGCA: Drug-Disease Associations Prediction Based on Multi-Similarities Graph Convolutional Autoencoder. IEEE J. Biomed. Health Informatics Ying Wang, Ying-Lian Gao, Juan Wang, Feng Li, Jin-Xing Liu
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	J	`jnl`	NTBiRW: A Novel Neighbor Model Based on Two-Tier Bi-Random Walk for Predicting Potential Disease-Related Microbes. IEEE J. Biomed. Health Informatics Meng-Meng Yin, Ying-Lian Gao, Chun-Hou Zheng, Jin-Xing Liu
2023	J	`jnl`	Non-Negative Low-Rank Representation With Similarity Correction for Cell Type Identification in scRNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Dai-Jun Zhang, Jing-Xiu Zhao, Chun-Hou Zheng, Ying-Lian Gao
2023	J	`jnl`	Predicting miRNA-Disease Associations Through Deep Autoencoder With Multiple Kernel Learning. IEEE Trans. Neural Networks Learn. Syst. Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Jing-Xiu Zhao, Chun-Hou Zheng, Jin-Xing Liu
2023	—	`conf`	Spatial Domain Identification Based on Graph Attention Denoising Auto-encoder. ICIC (3) Yue Gao, Dai-Jun Zhang, Cui-Na Jiao, Ying-Lian Gao, Jin-Xing Liu
2023	—	`conf`	idenLD-AREL: identifying lncRNA-disease associations by random forests based on an ensemble learning framework. BIBM Yahan Li, Mingrui Zhang, Junliang Shang, Yaxuan Zhang, Feng Li, Jin-Xing Liu
2023	—	`conf`	scNMF-Impute: imputation for single-cell RNA-seq data based on nonnegative matrix factorization. BIBM Juan Wang, Na-Na Zhang, Junliang Shang, Jin-Xing Liu
2022	—	`conf`	A Locality-Constrained Linear Coding-Based Ensemble Learning Framework for Predicting Potentially Disease-Associated MiRNAs. ISBRA Yi Shen, Ying-Lian Gao, Shu-Zhen Li, Boxin Guan, Jin-Xing Liu
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	J	`jnl`	A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis. BMC Bioinform. He-Ming Chu, Jin-Xing Liu, Ke Zhang, Chun-Hou Zheng, Juan Wang, Xiang-Zhen Kong
2022	J	`jnl`	A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism. Briefings Bioinform. Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu
2022	—	`conf`	ARGLRR: An Adjusted Random Walk Graph Regularization Sparse Low-Rank Representation Method for Single-Cell RNA-Sequencing Data Clustering. ISBRA Zhen-Chang Wang, Jin-Xing Liu, Junliang Shang, Ling-Yun Dai, Chun-Hou Zheng, Juan Wang
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	—	`conf`	Construction of Gene Network Based on Inter-tumor Heterogeneity for Tumor Type Identification. ICIC (2) Zhensheng Sun, Junliang Shang, Hongyu Duan, Jin-Xing Liu, Xikui Liu, Yan Li, Feng Li
2022	—	`conf`	Diagnosing Alzheimer's Disease with Bi-multitask Regularized Sparse Canonical Correlation Analysis and Logistic Regression. BIBM Tian-Ru Wu, Cui-Na Jiao, Xinchun Cui, Jin-Xing Liu
2022	—	`conf`	HSAELDA: Predicting lncRNA-disease associations based on heterogeneous networks and Stacked Autoencoder. BIBM Wen-Yu Xi, Qianqian Ren, Jin-Xing Liu, Ying-Lian Gao
2022	—	`conf`	Identification of cancer driver modules by combining network functional and topology information. BIBM Xin Chu, Feng Li, Hongyu Duan, Junliang Shang, Juan Wang, Jin-Xing Liu
2022	J	`jnl`	Kernel risk-sensitive mean p-power error based robust extreme learning machine for classification. Int. J. Mach. Learn. Cybern. Liang-Rui Ren, Ying-Lian Gao, Junliang Shang, Jin-Xing Liu
2022	J	`jnl`	Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. Appl. Intell. Zhen-Xin Niu, Cui-Na Jiao, Liang-Rui Ren, Rong Zhu, Juan Wang, Jin-Xing Liu
2022	—	`conf`	MLMVFE: A Machine Learning Approach Based on Muli-view Features Extraction for Drug-Disease Associations Prediction. ISBRA Ying Wang, Ying-Lian Gao, Juan Wang, Junliang Shang, Jin-Xing Liu
2022	J	`jnl`	Multi-View Random-Walk Graph Regularization Low-Rank Representation for Cancer Clustering and Differentially Expressed Gene Selection. IEEE J. Biomed. Health Informatics Juan Wang, Li-Hong Wang, Jin-Xing Liu, Xiang-Zhen Kong, Shengjun Li
2022	J	`jnl`	Multi-similarity fusion-based label propagation for predicting microbes potentially associated with diseases. Future Gener. Comput. Syst. Meng-Meng Yin, Ying-Lian Gao, Junliang Shang, Chun-Hou Zheng, Jin-Xing Liu
2022	J	`jnl`	NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation. IEEE Trans. Cybern. Meng-Meng Yin, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2022	J	`jnl`	Predicting miRNA-disease associations via layer attention graph convolutional network model. BMC Medical Informatics Decis. Mak. Han Han, Rong Zhu, Jin-Xing Liu, Ling-Yun Dai
2022	—	`conf`	Probability Connectivity-Based Multimodality Regression Analysis for Associating Disease-Specific Multimodal Brain Imaging Phenotypes with Genetic Risk Factors. BIBM Cui-Na Jiao, Chun-Hou Zheng, Jin-Xing Liu, Feng Li
2022	J	`jnl`	Robust Principal Component Analysis Based On Hypergraph Regularization for Sample Clustering and Co-Characteristic Gene Selection. IEEE ACM Trans. Comput. Biol. Bioinform. Ying-Lian Gao, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022	J	`jnl`	SLRRSC: Single-Cell Type Recognition Method Based on Similarity and Graph Regularization Constraints. IEEE J. Biomed. Health Informatics Na-Na Zhang, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2022	J	`jnl`	Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework. IEEE ACM Trans. Comput. Biol. Bioinform. Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, Chun-Hou Zheng
2022	—	`conf`	TDCOSR: A Multimodality Fusion Framework for Association Analysis Between Genes and ROIs of Alzheimer's Disease. ISBRA Qi Zou, Yan Sun, Feng Li, Juan Wang, Jin-Xing Liu, Junliang Shang
2022	—	`conf`	THSLRR: A Low-Rank Subspace Clustering Method Based on Tired Random Walk Similarity and Hypergraph Regularization Constraints. SDSC Tian-Jing Qiao, Na-Na Zhang, Jin-Xing Liu, Junliang Shang, Cui-Na Jiao, Juan Wang
2022	—	`conf`	Tensor Robust PCA Based on Transformed Tensor Singular Value Decomposition for Cancer Genomic Data. BIBM Sheng-Nan Zhang, Yu-lin Zhang, Jin-Xing Liu, Juan Wang, Junliang Shang, Dao-Hui Ge
2022	J	`jnl`	Tensor decomposition based on the potential low-rank and p-shrinkage generalized threshold algorithm for analyzing cancer multiomics data. J. Bioinform. Comput. Biol. Hang-Jin Yang, Yuxia Lei, Juan Wang, Xiang-Zhen Kong, Jin-Xing Liu, Ying-Lian Gao
2022	J	`jnl`	Unsupervised Cluster Analysis and Gene Marker Extraction of scRNA-seq Data Based On Non-Negative Matrix Factorization. IEEE J. Biomed. Health Informatics Chuan-Yuan Wang, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu, Chun-Hou Zheng
2022	J	`jnl`	Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation. IEEE J. Biomed. Health Informatics Cui-Na Jiao, Jin-Xing Liu, Juan Wang, Junliang Shang, Chun-Hou Zheng
2021	J	`jnl`	Adaptive total variation constraint hypergraph regularized NMF for single-cell RNA-seq data analysis. Quant. Biol. Ya-li Zhu, Xiao-Ning Zhang, Chuan-Yuan Wang, Jin-Xing Liu, Xiangzhen Kong
2021	—	`conf`	Adaptive total-variation joint learning model for analyzing single cell RNA seq data. BIBM Dai-Jun Zhang, Jing-Xiu Zhao, Jin-Xing Liu, Ying-Lian Gao
2021	J	`jnl`	Bipartite graph-based collaborative matrix factorization method for predicting miRNA-disease associations. BMC Bioinform. Feng Zhou, Meng-Meng Yin, Cui-Na Jiao, Zhen Cui, Jing-Xiu Zhao, Jin-Xing Liu
2021	J	`jnl`	Correntropy-Based Hypergraph Regularized NMF for Clustering and Feature Selection on Multi-Cancer Integrated Data. IEEE Trans. Cybern. Na Yu, Ming-Juan Wu, Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2021	J	`jnl`	DSCMF: prediction of LncRNA-disease associations based on dual sparse collaborative matrix factorization. BMC Bioinform. Jin-Xing Liu, Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li
2021	J	`jnl`	DSTPCA: Double-Sparse Constrained Tensor Principal Component Analysis Method for Feature Selection. IEEE ACM Trans. Comput. Biol. Bioinform. Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Junliang Shang
2021	J	`jnl`	Dual Hyper-Graph Regularized Supervised NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Chuan-Yuan Wang, Na Yu, Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang
2021	—	`conf`	Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. ICIC (2) Zhen-Xin Niu, Liang-Rui Ren, Rong Zhu, Xiang-Zhen Kong, Ying-Lian Gao, Jin-Xing Liu
2021	J	`jnl`	IPCARF: improving lncRNA-disease association prediction using incremental principal component analysis feature selection and a random forest classifier. BMC Bioinform. Rong Zhu, Yong Wang, Jin-Xing Liu, Ling-Yun Dai
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`	Kernel Risk-Sensitive Loss based Hyper-graph Regularized Robust Extreme Learning Machine and Its Semi-supervised Extension for Classification. Knowl. Based Syst. Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2021	J	`jnl`	LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE ACM Trans. Comput. Biol. Bioinform. Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Gao
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`	MKL-LP: Predicting Disease-Associated Microbes with Multiple-Similarity Kernel Learning-Based Label Propagation. ISBRA Ying-Lian Gao, Meng-Meng Yin, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
2021	J	`jnl`	MOPIO: A Multi-Objective Pigeon-Inspired Optimization Algorithm for Community Detection. Symmetry Junliang Shang, Yiting Li, Yan Sun, Feng Li, Yuanyuan Zhang, Jin-Xing Liu
2021	J	`jnl`	Multi-Label Fusion Collaborative Matrix Factorization for Predicting LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Juan Wang, Jin-Xing Liu
2021	J	`jnl`	Multiscale part mutual information for quantifying nonlinear direct associations in networks. Bioinform. Junliang Shang, Jing Wang, Yan Sun, Feng Li, Jin-Xing Liu, Honghai Zhang
2021	J	`jnl`	Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores. IEEE ACM Trans. Comput. Biol. Bioinform. Ke Yan, Jie Wen, Jin-Xing Liu, Yong Xu, Bin Liu
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	—	`conf`	Sparse Hyper-graph Non-negative Matrix Factorization by Maximizing Correntropy. BIBM Cui-Na Jiao, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, Xianzi Yu
2021	J	`jnl`	Sparse robust graph-regularized non-negative matrix factorization based on correntropy. J. Bioinform. Comput. Biol. Chuan-Yuan Wang, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Junliang Shang
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
2021	J	`jnl`	WGRCMF: A Weighted Graph Regularized Collaborative Matrix Factorization Method for Predicting Novel LncRNA-Disease Associations. IEEE J. Biomed. Health Informatics Jin-Xing Liu, Zhen Cui, Ying-Lian Gao, Xiang-Zhen Kong
2020	J	`jnl`	A multi-view classification and feature selection method via sparse low-rank regression analysis. Int. J. Data Min. Bioinform. Yao Lu, Ying-Lian Gao, Pei-Yong Li, Jin-Xing Liu
2020	—	`conf`	Adaptive Total Variation Constraint Hypergraph Regularized NMF and Its Application on Single-Cell RNA-Seq Data. BIC-TA Ya-li Zhu, Ming-Juan Wu, Chuan-Yuan Wang, Yue Hu, Jin-Xing Liu
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	J	`jnl`	Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data. Complex. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Cong-Hai Lu, Ling-Yun Dai, Xiangzhen Kong
2020	J	`jnl`	Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification. BMC Bioinform. Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
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	—	`conf`	Essential Proteins Identification Based on Integrated Network. ICIC (1) Chang-Gang Wen, Jin-Xing Liu, Lei Qin, Juan Wang, Yun Fang
2020	J	`jnl`	Hyper-Graph Regularized Constrained NMF for Selecting Differentially Expressed Genes and Tumor Classification. IEEE J. Biomed. Health Informatics Cui-Na Jiao, Ying-Lian Gao, Na Yu, Jin-Xing Liu, Lianyong Qi
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`	Integrative Hypergraph Regularization Principal Component Analysis for Sample Clustering and Co-Expression Genes Network Analysis on Multi-Omics Data. IEEE J. Biomed. Health Informatics Ming-Juan Wu, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Juan Wang
2020	J	`jnl`	Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis. IEEE ACM Trans. Comput. Biol. Bioinform. Yingxia Sun, Xuan Wang, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng, Xiujuan Lei
2020	J	`jnl`	L Comput. Biol. Chem. Liang-Rui Ren, Ying-Lian Gao, Jin-Xing Liu, Rong Zhu, Xiang-Zhen Kong
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	—	`conf`	Locally Manifold Non-negative Matrix Factorization Based on Centroid for scRNA-seq Data Analysis. BIBM Chuan-Yuan Wang, Ying-Lian Gao, Cui-Na Jiao, Jin-Xing Liu, Chunhou Zheng, Xiang-Zhen Kong
2020	J	`jnl`	MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations. BMC Bioinform. Tian-Ru Wu, Meng-Meng Yin, Cui-Na Jiao, Ying-Lian Gao, Xiang-Zhen Kong, Jin-Xing Liu
2020	—	`conf`	Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification. ICIC (2) Liang-Rui Ren, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng
2020	—	`conf`	Sparse Regularization Tensor Robust PCA Based on t-product and Its Application in Cancer Genomic Data. BIBM Hang-Jin Yang, Yu-Ying Zhao, Jin-Xing Liu, Yuxia Lei, Junliang Shang, Xiang-Zhen Kong
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	J	`jnl`	A Dynamic Scale-Free Network Particle Swarm Optimization for Extracting Features on Multi-Omics Data. J. Comput. Biol. Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
2019	J	`jnl`	A Mixed-Norm Laplacian Regularized Low-Rank Representation Method for Tumor Samples Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Juan Wang, Jin-Xing Liu, Chun-Hou Zheng, Yaxuan Wang, Xiang-Zhen Kong, Chang-Gang Wen
2019	J	`jnl`	A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions. IEEE Access Junliang Shang, Xuan Wang, Xiaoyang Wu, Yingxia Sun, Qian Ding, Jin-Xing Liu, Honghai Zhang
2019	J	`jnl`	ACCBN: ant-Colony-clustering-based bipartite network method for predicting long non-coding RNA-protein interactions. BMC Bioinform. Rong Zhu, Guangshun Li, Jin-Xing Liu, Ling-Yun Dai, Ying Guo
2019	J	`jnl`	An Integrated Graph Regularized Non-Negative Matrix Factorization Model for Gene Co-Expression Network Analysis. IEEE Access Ying-Lian Gao, Mi-Xiao Hou, Jin-Xing Liu, Xiang-Zhen Kong
2019	—	`conf`	An Integrated Robust Graph Regularized Non-negative Matrix Factorization for Multi-dimensional Genomic Data Analysis. IDMB Yong-Jing Hao, Mi-Xiao Hou, Rong Zhu, Jin-Xing Liu
2019	—	`conf`	DSNPCMF: Predicting MiRNA-Disease Associations with Collaborative Matrix Factorization Based on Double Sparse and Nearest Profile. IDMB Meng-Meng Yin, Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong
2019	J	`jnl`	Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method. Complex. Yue Hu, Jin-Xing Liu, Ying-Lian Gao, Shengjun Li, Juan Wang
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-Clustering to Find "Checkerboard" Structures on Gene Expression Data. IEEE Access Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	J	`jnl`	Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data. CoRR Jin-Xing Liu, Chun-Mei Feng, Xiang-Zhen Kong, Yong Xu
2019	—	`conf`	Dual Sparse Collaborative Matrix Factorization Method Based on Gaussian Kernel Function for Predicting LncRNA-Disease Associations. ICIC (3) Ming-Ming Gao, Zhen Cui, Ying-Lian Gao, Feng Li, Jin-Xing Liu
2019	J	`jnl`	HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions. Comput. Biol. Chem. Qian Ding, Junliang Shang, Yingxia Sun, Xuan Wang, Jin-Xing Liu
2019	—	`conf`	Hyper-graph Robust Non-negative Matrix Factorization Method for Cancer Sample Clustering and Feature Selection. IDMB Cui-Na Jiao, Tian-Ru Wu, Jin-Xing Liu, Xiang-Zhen Kong
2019	J	`jnl`	Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection. Complex. Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu
2019	—	`conf`	Inferring Communities and Key Genes of Triple Negative Breast Cancer Based on Robust Principal Component Analysis and Network Analysis. IDMB Qian Ding, Yan Sun, Junliang Shang, Yuanyuan Zhang, Feng Li, Jin-Xing Liu
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
2019	J	`jnl`	Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints. BMC Bioinform. Juan Wang, Cong-Hai Lu, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong
2019	J	`jnl`	NIPMI: A Network Method Based on Interaction Part Mutual Information to Detect Characteristic Genes From Integrated Data on Multi-Cancers. IEEE Access Qian Ding, Junliang Shang, Yan Sun, Guangshuai Liu, Feng Li, Xiguo Yuan, Jin-Xing Liu
2019	J	`jnl`	NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations. BMC Bioinform. Ying-Lian Gao, Zhen Cui, Jin-Xing Liu, Juan Wang, Chun-Hou Zheng
2019	J	`jnl`	Network analysis based on low-rank method for mining information on integrated data of multi-cancers. Comput. Biol. Chem. Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Ling-Yun Dai, Xiangzhen Kong, Junliang Shang
2019	J	`jnl`	RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations. BMC Bioinform. Zhen Cui, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. CoRR Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019	J	`jnl`	Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data. IEEE Trans. Neural Networks Learn. Syst. Chun-Mei Feng, Yong Xu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng
2019	J	`jnl`	The computational prediction of drug-disease interactions using the dual-network L2,1-CMF method. BMC Bioinform. Zhen Cui, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang, 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	—	`conf`	An Improved Particle Swarm Optimization with Dynamic Scale-Free Network for Detecting Multi-omics Features. ISBRA Huiyu Li, Shengjun Li, Junliang Shang, Jin-Xing Liu, Chun-Hou Zheng
2018	—	`conf`	Hypergraph regularized NMF by L2, 1-norm for Clustering and Com-abnormal Expression Genes Selection. BIBM Na Yu, Ying-Lian Gao, Jin-Xing Liu, Juan Wang, Junliang Shang
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`	Performance Analysis of Non-negative Matrix Factorization Methods on TCGA Data. ICIC (2) Mi-Xiao Hou, Jin-Xing Liu, Junliang Shang, Ying-Lian Gao, Xiangzhen Kong, Ling-Yun Dai
2018	J	`jnl`	Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu
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
2018	—	`conf`	acsFSDPC: A Density-Based Automatic Clustering Algorithm with an Adaptive Cuckoo Search. ICIC (2) Chang Liu, Junliang Shang, Xuhui Zhu, Yan Sun, Jin-Xing Liu, Chun-Hou Zheng, Junying Zhang
2017	—	`conf`	A convex multi-view low-rank sparse regression for feature selection and clustering. BIBM Yao Lu, Jin-Xing Liu, Xiangzhen Kong, Junliang Shang
2017	J	`jnl`	A joint-L Neurocomputing Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu
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	—	`conf`	Feature selection and clustering via robust graph-laplacian PCA based on capped L1-norm. BIBM Ming-Juan Wu, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Mei Feng
2017	—	`conf`	Graph regularized robust non-negative matrix factorization for clustering and selecting differentially expressed genes. BIBM Na Yu, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Juan Wang, Ming-Juan Wu
2017	J	`jnl`	Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition. BMC Syst. Biol. Jin-Xing Liu, Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Sha-Sha Wu, Junliang Shang
2017	—	`conf`	Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes. BIBM Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Ling-Yun Dai
2017	J	`jnl`	Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes. Complex. Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Jiguo Yu, Mi-Xiao Hou
2017	—	`conf`	Robust graph regularized sparse orthogonal nonnegative matrix factorization for identifying differentially expressed genes. BIBM Ling-Yun Dai, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang, Chun-Mei Feng, Yaxuan Wang
2017	J	`jnl`	epiACO - a method for identifying epistasis based on ant Colony optimization algorithm. BioData Min. Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng
2016	J	`jnl`	A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu
2016	—	`conf`	A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. ICIC (2) Shengjun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li
2016	—	`conf`	A Simple Review of Sparse Principal Components Analysis. ICIC (2) Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang
2016	J	`jnl`	A compressed sensing based two-stage method for detecting epistatic interactions. Int. J. Data Min. Bioinform. Shengjun Li, Junliang Shang, Qinliang Chen, Yan Sun, Jin-Xing Liu
2016	—	`conf`	A graph-Laplacian PCA based on L1/2-norm constraint for characteristic gene selection. BIBM Chun-Mei Feng, Jin-Xing Liu, Ying-Lian Gao, Juan Wang, Dong-Qin Wang, Yong Du
2016	—	`conf`	A p-norm singular value decomposition method for robust tumor clustering. BIBM Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Yao Lu
2016	—	`conf`	An Adaptive Weighted Degree Kernel to Predict the Splice Site. CCBR Tianqi Wang, Ke Yan, Yong Xu, Jin-Xing Liu
2016	—	`conf`	An Improved Ant Colony Optimization Algorithm for the Detection of SNP-SNP Interactions. ICIC (3) Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li
2016	J	`jnl`	CINOEDV: a co-information based method for detecting and visualizing BMC Bioinform. Junliang Shang, Yingxia Sun, Jin-Xing Liu, Junfeng Xia, Junying Zhang, Chun-Hou Zheng
2016	J	`jnl`	Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu
2016	—	`conf`	Characteristic gene selection via L2, 1-norm Sparse Principal Component Analysis. BIBM Yao Lu, Ying-Lian Gao, Jin-Xing Liu, Chang-Gang Wen, Yaxuan Wang, Jiguo Yu
2016	—	`conf`	Comparison of Non-negative Matrix Factorization Methods for Clustering Genomic Data. ICIC (2) Mi-Xiao Hou, Ying-Lian Gao, Jin-Xing Liu, Junliang Shang, Chun-Hou Zheng
2016	J	`jnl`	Differentially expressed genes selection via Laplacian regularized low-rank representation method. Comput. Biol. Chem. Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang
2016	—	`conf`	Differentially expressed genes selection via Truncated Nuclear Norm Regularization. BIBM Yaxuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiangzhen Kong, Chun-Hou Zheng, Yong Du
2016	—	`conf`	Gene Extraction Based on Sparse Singular Value Decomposition. ICIC (1) Xiangzhen Kong, Jin-Xing Liu, Chun-Hou Zheng, Junliang Shang
2016	—	`conf`	L21-iPaD: An efficient method for drug-pathway association pairs inference. BIBM Dong-Qin Wang, Chun-Hou Zheng, Ying-Lian Gao, Jin-Xing Liu, Sha-Sha Wu, Junliang Shang
2016	—	`conf`	Robust graph regularized discriminative nonnegative matrix factorization for characteristic gene selection. BIBM Ling-Yun Dai, Chun-Mei Feng, Jin-Xing Liu, Chun-Hou Zheng, Mi-Xiao Hou, Jiguo Yu
2016	—	`conf`	SIPSO: Selectively Informed Particle Swarm Optimization Based on Mutual Information to Determine SNP-SNP Interactions. ICIC (1) Wenxiang Zhang, Junliang Shang, Huiyu Li, Yingxia Sun, Jin-Xing Liu
2016	—	`conf`	Sparse singular value decomposition-based feature extraction for identifying differentially expressed genes. BIBM Jin-Xing Liu, Xiangzhen Kong, Chun-Hou Zheng, Junliang Shang, Wei Zhang
2015	—	`conf`	A Survey of Multiple Sequence Alignment Techniques. ICIC (1) Xiao-Dan Wang, Jin-Xing Liu, Yong Xu, Jian Zhang
2015	—	`conf`	A Two-Stage Sparse Selection Method for Extracting Characteristic Genes. ICIC (2) Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Yuxia Lei
2015	—	`conf`	An Improved Denoising Method Based on Wavelet Transform for Processing Bases Sequence Images. ICIC (1) Ke Yan, Jin-Xing Liu, Yong Xu
2015	—	`conf`	Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection. ICIC (2) Dong Wang, Ying-Lian Gao, Jin-Xing Liu, Jiguo Yu, Chang-Gang Wen
2015	—	`conf`	Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes. ICIC (2) Chun-Xia Ma, Ying-Lian Gao, Dong Wang, Jian Liu, Jin-Xing Liu
2015	—	`conf`	Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders. ICIC (2) Junliang Shang, Yan Sun, Yun Fang, Shengjun Li, Jin-Xing Liu, Yuanke Zhang
2015	J	`jnl`	RPCA-Based Tumor Classification Using Gene Expression Data. IEEE ACM Trans. Comput. Biol. Bioinform. Jin-Xing Liu, Yong Xu, Chun-Hou Zheng, Heng Kong, Zhihui Lai
2015	—	`conf`	Semi-supervised Feature Extraction for RNA-Seq Data Analysis. ICIC (3) Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang
2013	J	`jnl`	Robust PCA based method for discovering differentially expressed genes. BMC Bioinform. Jin-Xing Liu, Yutian Wang, Chun-Hou Zheng, Wen Sha, Jian-Xun Mi, Yong Xu
2012	J	`jnl`	Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition. Comput. Biol. Medicine Jin-Xing Liu, Chun-Hou Zheng, Yong Xu
2012	—	`conf`	Identifying Characteristic Genes Based on Robust Principal Component Analysis. ICIC (3) Chun-Hou Zheng, Jin-Xing Liu, Jian-Xun Mi, Yong Xu
2011	J	`jnl`	Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang