Jianing Xi
Orcid: 0000-0001-6785-5618
According to our database1,
Jianing Xi
authored at least 25 papers
between 2016 and 2025.
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Bibliography
2025
Channel transformer based multi field-of-view model to detect tumor spread through air space in histopathological images.
Expert Syst. Appl., 2025
2023
An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers.
Comput. Biol. Medicine, March, 2023
Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability.
Biomed. Signal Process. Control., 2023
Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
2022
Structure-aware siamese graph neural networks for encounter-level patient similarity learning.
J. Biomed. Informatics, 2022
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.
Neurocomputing, 2022
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
IEEE ACM Trans. Comput. Biol. Bioinform., 2021
Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Transductive Learning for BI-RADS Knowledge Graph based on Knowledge Tensor Factorization.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
A Comparison Study of Direct Inference and Knowledge Compensating Generalized Inference as Multidisciplinary for Medical Knowledge Graph.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021
2020
LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
HetRCNA: A Novel Method to Identify Recurrent Copy Number Alternations from Heterogeneous Tumor Samples Based on Matrix Decomposition Framework.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples.
Complex., 2020
Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication.
Bioinform., 2020
2018
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints.
Neurocomputing, 2018
Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network.
BMC Bioinform., 2018
An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018
2017
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways.
PeerJ Comput. Sci., 2017
Identification of driver network modules in protein-protein interaction network using patient mutation profiles.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017
2016
Discovering Recurrent Copy Number Aberrations in Complex Patterns via Non-Negative Sparse Singular Value Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016