Junliang Shang

145 papers Journal 81Unranked 64

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hierarchical Attention-Based Negative Sampling Method for Drug Repositioning Using Neighborhood Interaction Fusion. IEEE J. Biomed. Health Informatics Cheng-Long Mi, Ling-Yun Dai, Junliang Shang, Rong Zhu, Juan Wang, Feng Li
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`	A multi-source similarity fusion method based on hypergraph convolutional networks and graph transformers for predicting miRNA-disease associations. Comput. Biol. Chem. Ling-Yun Dai, Cheng-Long Mi, Xu Wang, Junliang Shang, Feng Li, Juan Wang, Rong Zhu
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`	CPSORCL: A Cooperative Particle Swarm Optimization Method with Random Contrastive Learning for Interactive Feature Selection. Big Data Min. Anal. Yahan Li, Xiaohan Zhang, Junliang Shang, Qianqian Ren, Jin-Xin Liu
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`	DeepVLN: Vision-and-Language Navigation via Deep Reasoning and Collaborative Mechanisms Based on Large Language Models. IEEE J. Sel. Top. Signal Process. Peng Gao, Peng Wang, Fei Wang, Hamido Fujita, Hanan Aljuaid, 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`	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
2026	J	`jnl`	Single-cell distillation discriminative clustering based on asymmetric autoencoder. Eng. Appl. Artif. Intell. Junliang Shang, Aitian Fan, Baojuan Qin, Yan Zhao, Xiaohan Zhang, Shoujia Jiang, Feng Li, Jin-Xing Liu
2026	J	`jnl`	scACAN: An Adaptive Learning Framework Aggregating Local Graph Structure Context for Rare Cell Type Identification. J. Chem. Inf. Model. Shijia Yan, Junliang Shang, Shoujia Jiang, Xiaohan Zhang, Fanyu Zhang, Yan Sun, 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	—	`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	—	`conf`	Adaptive Weighting Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics. BIBM Xiyue Li, Ling-Yun Dai, Junliang Shang, Rong Zhu, Feng Li
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	J	`jnl`	Deep information fusion based on a transformer graph encoder for single-cell multi-omics clustering. J. King Saud Univ. Comput. Inf. Sci. Qianqian Ren, Shaoyi Liu, Junliang Shang, Xiyu Liu
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`	GAEKLRR: A novel clustering method of the low-rank representation based on graph auto-encoder and relaxed k-means for single-cell type identification. BIBM Linping Wang, Junliang Shang, Lingyun Dai, Juan Wang
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	J	`jnl`	MPSO-CD: A Multi-Objective Particle Swarm Optimization Community Detection Method for Identifying Disease Modules. IEEE Trans. Comput. Biol. Bioinform. Xuhui Zhu, Mingyuan Bi, Junliang Shang, Yan Sun, Feng Li, Yuanyuan Zhang, Ling-Yun Dai, Shengjun Li, Jinxing Liu
2025	J	`jnl`	Multi-Affinity network integration based on multi-omics data for tumor stratification. Biomed. Signal Process. Control. Feng Li, Yanru Gao, Zhensheng Sun, Shengjun Li, Junliang Shang, Jin-Xing Liu
2025	J	`jnl`	Optimizing transformer-based prediction of human microbe-disease associations through integrated loss strategies. PeerJ Comput. Sci. Rong Zhu, Yong Wang, Junliang Shang, Ling-Yun Dai, Feng Li
2025	—	`conf`	PDA-GTGCN: Identification of PiRNA-Disease Associations Based on Group Feature Transformation Graph Convolutional Network. ISBRA (1) Xiaoqi Tang, Xianghan Meng, Junliang Shang, Baojuan Qin, Xin He, Yan Zhao, Daohui Ge, 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`	PFed-Signal: An ADR Prediction Model based on Federated Learning. CoRR Tao Li, Peilin Li, Kui Lu, Yilei Wang, Junliang Shang, Guangshun Li, Huiyu Zhou
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`	SAMGCN: A spatially-augmented multi-view graph convolutional network for identifying spatial domains. Eng. Appl. Artif. Intell. Hao Liu, Yue Gao, Ying-Lian Gao, Cui-Na Jiao, Junliang Shang, Jin-Xing Liu
2025	—	`conf`	SUIFS: A Symmetric Uncertainty Based Interactive Feature Selection Method. ISBRA (1) Yan Sun, Xiaohan Zhang, Qi Zhong, Junliang Shang, Qianqian Ren, Feng Li, Jin-Xing Liu
2025	—	`conf`	Spatial Multi-Omics Integration Via Information-Aware Multi-View Contrastive Learning. BIBM Conghui Zhang, Ling-Yun Dai, Rong Zhu, Juan Wang, Junliang Shang, Feng Li
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	J	`jnl`	Transformer-based detection of abnormal rice growth using drone-based multispectral imaging. Comput. Electron. Agric. Yanfen Li, Lien Minh Dang, Hanxiang Wang, Muhammad Fayaz, Sufyan Danish, Junliang Shang, Hyoung-Kyu Song, Hyeonjoon Moon
2025	J	`jnl`	pscAdapt: Pre-Trained Domain Adaptation Network Based on Structural Similarity for Cell Type Annotation in Single Cell RNA-seq Data. IEEE J. Biomed. Health Informatics Yan Zhao, Junliang Shang, Baojuan Qin, Limin Zhang, Xin He, Daohui Ge, Qianqian Ren, Jin-Xin Liu
2025	J	`jnl`	scCDAN: Constraint domain adaptation network for cell type annotation across single cell RNA sequencing data. Neurocomputing Junliang Shang, Yan Zhao, Baojuan Qin, Limin Zhang, Xianghan Meng, Daohui Ge, Jin-Xin Liu
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`	scRDAN: a robust domain adaptation network for cell type annotation across single-cell RNA sequencing data. Briefings Bioinform. Yan Sun, Yan Zhao, Junliang Shang, Baojuan Qin, Xiaohan Zhang, 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 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	J	`jnl`	A feature extraction framework for discovering pan-cancer driver genes based on multi-omics data. Quant. Biol. Xiaomeng Xue, Feng Li, Junliang Shang, Lingyun Dai, Daohui Ge, Qianqian Ren
2024	J	`jnl`	A framework for scRNA-seq data clustering based on multi-view feature integration. Biomed. Signal Process. Control. Feng Li, Yang Liu, Jinxing Liu, Daohui Ge, Junliang Shang
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`	Application of Artificial Intelligence in Drug-Drug Interactions Prediction: A Review. J. Chem. Inf. Model. Yuanyuan Zhang, Zengqian Deng, Xiaoyu Xu, Yinfei Feng, Junliang Shang
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`	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`	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	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	—	`conf`	Integrating Autoencoder and Multi-View Graph Convolutional Networks for Spatial Domains Identification. BIBM Fanhao Meng, Feng Li, Yanru Gao, Daohui Ge, Rong Zhu, Junliang Shang
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`	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	—	`conf`	Multi-Population Ant Colony Optimization With Knowledge-Based Local Searches for Epistasis Detection. BIBM Qianqian Ren, Shaoyi Liu, Lianlian Zhang, Junliang Shang, Feng Li
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	—	`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`	Spatial domains identification based on multi-view contrastive learning in spatial transcriptomics. BIBM Yanru Gao, Feng Li, Fanhao Meng, Daohui Ge, Qianqian Ren, Junliang Shang
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 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 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	—	`conf`	Crow Search Algorithm Based on Information Interaction for Epistasis Detection. BIBM Yaxuan Zhang, Junliang Shang, Yijun Gu, Qianqian Ren, Daohui Ge, Yan Sun
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`	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	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`	MTHSA-DHEI: multitasking harmony search algorithm for detecting high-order SNP epistatic interactions. Complex Intell. Syst. Shouheng Tuo, Chao Li, Fan Liu, Aimin Li, Lang He, Zong Woo Geem, Junliang Shang, Haiyan Liu, Yanling Zhu, ZengYu Feng, Tianrui Chen
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`	Spectral Clustering of Single-Cell RNA-Sequencing Data by Multiple Feature Sets Affinity. ICIC (3) Yang Liu, Feng Li, Junliang Shang, Daohui Ge, Qianqian Ren, Shengjun Li
2023	—	`conf`	Spectral clustering based on multi-similarity learning method for single-cell RNA-seq data. BIBM Lianlian Zhang, Shaoyi Liu, Qianqian Ren, Junliang Shang, Xiangzhen Kong, Feng Li
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 Network-Based Voting Method for Identification and Prioritization of Personalized Cancer Driver Genes. ISBRA Han Li, Feng Li, Junliang Shang, Xikui Liu, Yan Li
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`	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`	Artificial bee colony algorithm based on self-adjusting random grouping for high-order epistasis detection. BIBM Junliang Shang, Yijun Gu, Yan Sun, Feng Li, Jin-Xin Liu, Boxin Guan
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`	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	—	`conf`	KSMDB: A classification method in imbalanced COVID dataset based on KmeansSMOTE and DeBERT. BIBM Rong Zhu, Hua-Hui Gao, Junliang Shang, Ling-Yun Dai
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	—	`conf`	MHILDA: identifying disease-associated lncRNAs by extracting key features from integrated heterogeneous networks. BIBM Mingrui Zhang, Junliang Shang, Tongdui Zhang, Qianqian Ren, Guozheng Zhang, Yan Sun
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-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	—	`conf`	Predicting LncRNA-Disease Associations Based on LncRNA-MiRNA-Disease Multilayer Association Network and Bipartite Network Recommendation. BIBM Guozheng Zhang, Shu-Zhen Li, Xu-Ran Dou, Junliang Shang, Qianqian Ren, Ying-Lian Gao
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`	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
2022	—	`conf`	scSASSL: Self-attention semi-supervised learning with deep generative models to automatically identify cell types. BIBM Hongyu Duan, Feng Li, Xin Chu, Zhensheng Sun, Junliang Shang, Xikui Liu, Yan Li
2021	J	`jnl`	CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan
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	—	`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`	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`	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
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`	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	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`	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`	SINE: Second-Order Information Network Embedding. IEEE Access Ziqi Wang, Yuanyuan Zhang, Shudong Wang, Junliang Shang
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
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 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`	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`	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`	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`	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`	PCA via joint graph Laplacian and sparse constraint: Identification of differentially expressed genes and sample clustering on gene expression data. BMC Bioinform. Chun-Mei Feng, Yong Xu, Mi-Xiao Hou, Ling-Yun Dai, Junliang Shang
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`	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`	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	—	`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`	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`	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	—	`conf`	A Compressed Sensing Based Feature Extraction Method for Identifying Characteristic Genes. ICIC (2) Shengjun Li, Junliang Shang, Jin-Xing Liu, Huiyu Li
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`	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	—	`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`	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`	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`	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	—	`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
2014	J	`jnl`	EpiMiner: A three-stage co-information based method for detecting and visualizing epistatic interactions. Digit. Signal Process. Junliang Shang, Junying Zhang, Yan Sun, Yuanke Zhang
2011	J	`jnl`	Performance analysis of novel methods for detecting epistasis. BMC Bioinform. Junliang Shang, Junying Zhang, Yan Sun, Dan Liu, Daojun Ye, Yaling Yin