Xuequn Shang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Frontiers Comput. Sci., March, 2025
2024
Frontiers Comput. Sci., December, 2024
BMC Bioinform., December, 2024
Bioinform., February, 2024
Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning.
Neural Networks, January, 2024
FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos.
IEEE Trans. Multim., 2024
A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.
Neural Networks, 2024
A hierarchical GNN across semantic and topological domains for predicting circRNA-microRNA interactions.
Knowl. Based Syst., 2024
Knowl. Based Syst., 2024
Inf. Syst., 2024
Weakly supervised text classification framework for noisy-labeled imbalanced samples.
Neurocomputing, 2024
Eng. Appl. Artif. Intell., 2024
Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents.
CoRR, 2024
Spatial-temporal Memories Enhanced Graph Autoencoder for Anomaly Detection in Dynamic Graphs.
CoRR, 2024
postGWAS: A web server for deciphering the causality post the genome-wide association studies.
Comput. Biol. Medicine, 2024
Accurately deciphering spatial domains for spatially resolved transcriptomics with stCluster.
Briefings Bioinform., 2024
Briefings Bioinform., 2024
BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Proceedings of the Web Information Systems and Applications, 2024
2023
SVcnn: an accurate deep learning-based method for detecting structural variation based on long-read data.
BMC Bioinform., December, 2023
A deep cross-modal neural cognitive diagnosis framework for modeling student performance.
Expert Syst. Appl., November, 2023
scMultiGAN: cell-specific imputation for single-cell transcriptomes with multiple deep generative adversarial networks.
Briefings Bioinform., September, 2023
Pattern Recognit., July, 2023
Comput. Biol. Medicine, May, 2023
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information.
Briefings Bioinform., March, 2023
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks.
IEEE Trans. Big Data, February, 2023
A multi-view latent variable model reveals cellular heterogeneity in complex tissues for paired multimodal single-cell data.
Bioinform., January, 2023
Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing.
IEEE Trans. Multim., 2023
GLassonet: Identifying Discriminative Gene Sets Among Molecular Subtypes of Breast Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Pattern Recognit., 2023
Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding.
Neural Networks, 2023
Concept Prerequisite Relation Prediction by Using Permutation-Equivariant Directed Graph Neural Networks.
CoRR, 2023
Proceedings of the Computer Science and Education. Educational Digitalization, 2023
Deep-USIpred: identifying substrates of ubiquitin protein ligases E3 and deubiquitinases with pretrained protein embedding and bayesian neural network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Deep Learning Integration with Phenotypic Similarities and Heterogeneous Networks for Drug-Target Interaction Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Enhanced RNA Sequence Representation through Sequence Masking and Subsequence Consistency Optimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
A personalized pathway activation inference method based on pathway structure for classification of inflammatory bowel disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Learning-Disability Recognition by Using Sparse Spatio-Temporal Graph Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Knowledge-Concept Diagnosis from fMRIs by Using a Space-Time Embedding Graph Convolutional Network.
Proceedings of the Web Information Systems and Applications, 2023
2022
Knowl. Based Syst., 2022
IET Image Process., 2022
Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.
Frontiers Comput. Sci., 2022
SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data.
Bioinform., 2022
A review and performance evaluation of clustering frameworks for single-cell Hi-C data.
Briefings Bioinform., 2022
Correction to: Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform., 2022
Enhancing discoveries of molecular QTL studies with small sample size using summary statistic imputation.
Briefings Bioinform., 2022
A network-based method for brain disease gene prediction by integrating brain connectome and molecular network.
Briefings Bioinform., 2022
A versatile and scalable single-cell data integration algorithm based on domain-adversarial and variational approximation.
Briefings Bioinform., 2022
GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations.
Briefings Bioinform., 2022
Interpretable Educational Recommendation: An Open Framework based on Bayesian Principal Component Analysis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
WeStcoin: Weakly-Supervised Contextualized Text Classification with Imbalance and Noisy Labels.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Identification of miRNA-lncRNA Underlying Interactions Through Representation for Multiplex Heterogeneous Network.
Proceedings of the Intelligent Computing Theories and Application, 2022
An Effective Chinese Text Classification Method with Contextualized Weak Supervision for Review Autograding.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Functional Analysis of Molecular Subtypes with Deep Similarity Learning Model Based on Multi-omics Data.
Proceedings of the Intelligent Computing Theories and Application, 2022
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Topology Imbalance and Relation Inauthenticity Aware Hierarchical Graph Attention Networks for Fake News Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
A Personalized Federated Learning Framework Using Side Information for Heterogeneous Data Classification.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A multi-source fusion method to identify biomarkers for breast cancer prognosis based on dual-layer heterogeneous network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Identification of lncRNA-related protein-coding genes using multi-omics data based on deep learning and matrix completion.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022
MMAN: Metapath Based Multi-Level Graph Attention Networks for Heterogeneous Network Embedding (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Integrating Multi-Omic Data With Deep Subspace Fusion Clustering for Cancer Subtype Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Int. J. Comput. Vis., 2021
BMC Bioinform., 2021
BMC Bioinform., 2021
Integrating multi-network topology for gene function prediction using deep neural networks.
Briefings Bioinform., 2021
An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.
Briefings Bioinform., 2021
ProTICS reveals prognostic impact of tumor infiltrating immune cells in different molecular subtypes.
Briefings Bioinform., 2021
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
Undergraduate Grade Prediction in Chinese Higher Education Using Convolutional Neural Networks.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021
Comment Text Grading for Chinese Graduate Academic Dissertation Using Attention Convolutional Neural Networks.
Proceedings of the 7th International Conference on Systems and Informatics, 2021
VarSKD: A Variational Student Knowledge Diagnosis for Efficiently Representing Student Latent Knowledge Space.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Predicting Hepatoma-Related Genes Based on Representation Learning of PPI network and Gene Ontology Annotations.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
DCAE: Selecting Discriminative Genes on Single-cell RNA-seq Data for Cell-type Quantification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Identifying functional evolution processes of cancer according to regression residuals network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Self-paced Graph Memory Network for Student GPA Prediction and Abnormal Student Detection.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021
2020
Meta-knowledge dictionary learning on 1-bit response data for student knowledge diagnosis.
Knowl. Based Syst., 2020
Machine Learning Based Sentiment Text Classification for Evaluating Treatment Quality of Discharge Summary.
Inf., 2020
Multidocument Arabic Text Summarization Based on Clustering and Word2Vec to Reduce Redundancy.
Inf., 2020
A functional network construction method to interpret the pathological process of colorectal cancer.
Int. J. Data Min. Bioinform., 2020
Twadn: an efficient alignment algorithm based on time warping for pairwise dynamic networks.
BMC Bioinform., 2020
A flexible network-based imputing-and-fusing approach towards the identification of cell types from single-cell RNA-seq data.
BMC Bioinform., 2020
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network.
BMC Bioinform., 2020
Bioinform., 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
Proceedings of the Intelligent Computing Theories and Application, 2020
IPMM: Cancer Subtype Clustering Model Based on Multiomics Data and Pathway and Motif Information.
Proceedings of the Advanced Data Mining and Applications - 16th International Conference, 2020
2019
Identification of cancer subtypes by integrating multiple types of transcriptomics data with deep learning in breast cancer.
Neurocomputing, 2019
Predicting disease-related phenotypes using an integrated phenotype similarity measurement based on HPO.
BMC Syst. Biol., 2019
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data.
BMC Syst. Biol., 2019
Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data.
BMC Bioinform., 2019
TS-GOEA: a web tool for tissue-specific gene set enrichment analysis based on gene ontology.
BMC Bioinform., 2019
MD-SVM: a novel SVM-based algorithm for the motif discovery of transcription factor binding sites.
BMC Bioinform., 2019
BMC Bioinform., 2019
Predicting stage-specific cancer related genes and their dynamic modules by integrating multiple datasets.
BMC Bioinform., 2019
A learning-based framework for miRNA-disease association identification using neural networks.
Bioinform., 2019
Integrating Multiple Datasets to Discover Stage-Specific Cancer Related Genes and Stage-Specific Pathways.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
Proceedings of the Recent Advances in Data Science, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning.
Proceedings of the 12th International Conference on Educational Data Mining, 2019
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Deep generative autoencoder for low-dimensional embeding extraction from single-cell RNAseq data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
A deconvolution method for predicting cell abundance based on single cell RNA-seq data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Identifying functional evolution processes according to the pathological stages of colorectal cancer.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach.
BMC Syst. Biol., 2018
KF-finder: identification of key factors from host-microbial networks in cervical cancer.
BMC Syst. Biol., 2018
BMC Bioinform., 2018
WebNetCoffee: a web-based application to identify functionally conserved proteins from Multiple PPI networks.
BMC Bioinform., 2018
BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data.
BMC Bioinform., 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Bioinformatics Research and Applications - 14th International Symposium, 2018
NetCoffee2: A Novel Global Alignment Algorithm for Multiple PPI Networks Based on Graph Feature Vectors.
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Int. J. Data Min. Bioinform., 2017
BMC Bioinform., 2017
J. Biomed. Semant., 2017
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017
MiteFinder: A fast approach to identify miniature inverted-repeat transposable elements on a genome-wide scale.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Towards the classification of cancer subtypes by using cascade deep forest model in gene expression data.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Frontiers Comput. Sci., 2016
Identifying essential proteins based on dynamic protein-protein interaction networks and RNA-Seq datasets.
Sci. China Inf. Sci., 2016
LCM-DS: A novel approach of predicting drug-drug interactions for new drugs via Dempster-Shafer theory of evidence.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
A two-step logistic regression algorithm for identifying individual-cancer-related genes.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Identification of protein complexes and functional modules in integrated PPI networks.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Proceedings of the IEEE International Congress on Big Data, 2013
2011
MFC: Mining Maximal Frequent Dense Subgraphs without Candidate Maintenance in Imbalanced PPI Networks.
J. Softw., 2011
MFCluster: Mining Maximal Fault-Tolerant Constant Row Biclusters in Microarray Dataset.
Proceedings of the Web-Age Information Management - 12th International Conference, 2011
Proceedings of the Data Mining Workshops (ICDMW), 2011
2010
Efficient Mining Frequent Closed Discriminative Biclusters by Sample-Growth: The FDCluster Approach.
Int. J. Knowl. Discov. Bioinform., 2010
FDCluster: Mining Frequent Closed Discriminative Bicluster without Candidate Maintenance in Multiple Microarray Datasets.
Proceedings of the ICDMW 2010, 2010
WIBE: Mining Frequent Closed Patterns Without Candidate Maintenance in Microarray Dataset.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009
2008
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008
2007
A Survey of Frequent Pattern Mining for Biological Datasets.
Proceedings of the 2007 International Conference on Data Mining, 2007
2005
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005
2004
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2004
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004
Efficient Frequent Pattern Mining in Relational Databases.
Proceedings of the LWA 2004: Lernen - Wissensentdeckung - Adaptivität, Berlin, 4., 2004