Xingpeng Jiang
Orcid: 0000-0002-8848-9300
According to our database1,
Xingpeng Jiang
authored at least 99 papers
between 2008 and 2024.
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Bibliography
2024
Prediction of Drug-Disease Associations Based on Multi-Kernel Deep Learning Method in Heterogeneous Graph Embedding.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024
2023
Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health.
Artif. Intell. Medicine, November, 2023
An Effective Model for Predicting Phage-Host Interactions Via Graph Embedding Representation Learning With Multi-Head Attention Mechanism.
IEEE J. Biomed. Health Informatics, June, 2023
Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion.
Briefings Bioinform., March, 2023
multiMiAT: an optimal microbiome-based association test for multicategory phenotypes.
Briefings Bioinform., March, 2023
An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms.
Inf. Process. Manag., 2023
An Effective Microbial-drug Relation Extraction Model Based on Dual Graph Convolutional Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling.
Briefings Bioinform., 2022
Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations.
Briefings Bioinform., 2022
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Proceedings of the Health Information Science - 11th International Conference, 2022
Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Predicting human microbe-disease associations based on multi-source heterogeneous graph representation learning model.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
Inferring microbe-metabolite interactions by heterogeneous network fusion based on graph convolution network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
An effective framework for semistructured document classification via hierarchical attention model.
Int. J. Intell. Syst., 2021
Bioinform., 2021
Proceedings of the ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences, Beijing, China, October 29, 2021
An improved RL-based framework for multiple biomedical event extraction via self-supervised learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning.
Int. J. Data Min. Bioinform., 2020
Briefings Bioinform., 2020
Proceedings of the Health Information Science - 9th International Conference, 2020
A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020
2019
An adaptive term proximity based rocchio's model for clinical decision support retrieval.
BMC Medical Informatics Decis. Mak., 2019
Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion.
BMC Bioinform., 2019
A hybrid deep learning framework for bacterial named entity recognition with domain features.
BMC Bioinform., 2019
Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Hypergraph Clustering Based on Intra-class Scatter Matrix for Mining Higher-order Microbial Module.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2018
Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data.
BMC Bioinform., 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval.
Proceedings of the Intelligent Computing Theories and Application, 2018
ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the Intelligent Computing Theories and Application, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
Multi-View Clustering of Microbiome Samples by Robust Similarity Network Fusion and Spectral Clustering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Microbiome Data Representation by Joint Nonnegative Matrix Factorization with Laplacian Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Int. J. Data Min. Bioinform., 2017
Complex., 2017
Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Systematic characterization and prediction of tumor-associated genes in mouse using microrna.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
The modularity of microbial interaction network in healthy human saliva: Stability and specificity.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Machine learning approaches for cyanobacteria bloom prediction using metagenomic sequence data, a case study.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance.
Sci. China Inf. Sci., 2016
Walking in the PPI network to identify the risky SNP of osteoporosis with decision tree algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Predicting disease-microbe association by random walking on the heterogeneous network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Predicting Microbial Interactions Using Vector Autoregressive Model with Graph Regularization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015
Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model.
Int. J. Data Min. Bioinform., 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015
2014
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014
Proceedings of the Bioinformatics Research and Applications - 10th International Symposium, 2014
LA2SNE: A novel stochastic neighbor embedding approach for microbiome data visualization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014
2013
Mining the maximum conserved functional module from the alignment of pairwise protein interaction networks.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Manifold-constrained regularization for variable selection in envrionmental microbiomic data.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
Inference of microbial interactions from time series data using vector autoregression model.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013
2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
Identifying enterotype in human microbiome by decomposing probabilistic topics into components.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
2008
Int. J. Comput. Math., 2008