Xuequn Shang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
Federated learning-outcome prediction with multi-layer privacy protection.
Frontiers Comput. Sci., December, 2024

Scbean: a python library for single-cell multi-omics data analysis.
Bioinform., February, 2024

Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning.
Neural Networks, January, 2024

2023
Temporal Graph Cube.
IEEE Trans. Knowl. Data Eng., December, 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

Doubly contrastive representation learning for federated image recognition.
Pattern Recognit., July, 2023

SVsearcher: A more accurate structural variation detection method in long read data.
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

Answering knowledge-based visual questions via the exploration of Question Purpose.
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

BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection.
CoRR, 2023

Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR, 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

Deep Knowledge Tracing with Concept Trees.
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
Graph-regularized federated learning with shareable side information.
Knowl. Based Syst., 2022

A deep grouping fusion neural network for multimedia content understanding.
IET Image Process., 2022

Flexibility and rigidity index for chromosome packing, flexibility and dynamics analysis.
Frontiers Comput. Sci., 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

Online Deep Knowledge Tracing.
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

Personalized Federated Contrastive Learning.
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

Markov Guided Spatio-Temporal Networks for Brain Image Classification<sup>*</sup>.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Discovering eQTL Regulatory Patterns Through eQTLMotif.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Hypergraph-based Gene Ontology Embedding for Disease Gene Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CircRNA-Disease Association Prediction based on Heterogeneous Graph Representation.
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

Contrastive Deep Knowledge Tracing.
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

Weakly Supervised Group Mask Network for Object Detection.
Int. J. Comput. Vis., 2021

SCC: an accurate imputation method for scRNA-seq dropouts based on a mixture model.
BMC Bioinform., 2021

A novel method for predicting cell abundance based on single-cell RNA-seq data.
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

An Improved Deep Model for Knowledge Tracing and Question-Difficulty Discovery.
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

Identifying emerging phenomenon in long temporal phenotyping experiments.
Bioinform., 2020

Identification and Analysis of Genes Involved in Stages of Colon Cancer.
Proceedings of the Intelligent Computing Theories and Application, 2020

A Machine Learning Based Method to Identify Differentially Expressed Genes.
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

A novel algorithm based on bi-random walks to identify disease-related lncRNAs.
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

A Flexible and Comprehensive Platform for Analyzing Gene Expression Data.
Proceedings of the Recent Advances in Data Science, 2019

Identifying Differentially Expressed Genes Based on Differentially Expressed Edges.
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

Integrating Multi-Network Topology via Deep Semi-supervised Node Embedding.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Deep learning enables accurate alignment of single cell RNA-seq data.
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

Towards Gene Function Prediction via Multi-Networks Representation Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Copy number variation related disease genes.
Quant. Biol., 2018

Deep Feature Learning of Multi-Network Topology for Node Classification.
CoRR, 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

Measuring phenotype-phenotype similarity through the interactome.
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

Low-Rank Graph Regularized Sparse Coding.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Hierarchical Similarity Network Fusion for Discovering Cancer Subtypes.
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

Deep Subspace Similarity Fusion for the Prediction of Cancer Subtypes.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

TSGOE: A web tool for tissue-specific gene ontology enrichment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Identification of lncRNA-disease association using bi-random walks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Isometric hashing for image retrieval.
Signal Process. Image Commun., 2017

A novel method to measure the semantic similarity of HPO terms.
Int. J. Data Min. Bioinform., 2017

Identifying term relations cross different gene ontology categories.
BMC Bioinform., 2017

Investigations on factors influencing HPO-based semantic similarity calculation.
J. Biomed. Semant., 2017

Net2Image: A Network Representation Method for Identifying Cancer-Related Genes.
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
基因表达数据中局部模式的查询 (Local Pattern Query from Gene Expression Data).
计算机科学, 2016

Constrained query of order-preserving submatrix in gene expression data.
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

Measuring phenotype semantic similarity using Human Phenotype Ontology.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Analyzing factors involved in the HPO-based semantic similarity calculation.
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
Revealing the Causes of Dynamic Change in Protein-Protein Interaction Network.
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

FTCluster: Efficient Mining Fault-Tolerant Biclusters in Microarray Dataset.
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
Mining functional associated patterns from biological network data.
Proceedings of the 2009 ACM Symposium on Applied Computing (SAC), 2009

Mining High-Correlation Association Rules for Inferring Gene Regulation Networks.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

2008
Sequential Pattern Mining for Protein Function Prediction.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
Processing Sequential Patterns in Relational Databases.
J. Data Semant., 2007

A Survey of Frequent Pattern Mining for Biological Datasets.
Proceedings of the 2007 International Conference on Data Mining, 2007

2005
SQL based frequent pattern mining.
PhD thesis, 2005

Depth-first frequent itemset mining in relational databases.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Frequent Itemset Mining with Parallel RDBMS.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

2004
SQL Based Frequent Pattern Mining with FP-Growth.
Proceedings of the Applications of Declarative Programming and Knowledge Management, 2004

SQL based frequent pattern mining without candidate generation.
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


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