Jianing Xi

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 24

Top Topics

Expression Patterns

Matrix Factorization

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Jianing Xi, Donghui Sun, Cai Chang, Shichong Zhou, Qinghua Huang
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 155 (2023)
Jianing Xi, Dan Wang, Xuebing Yang, Wensheng Zhang, Qinghua Huang
Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability. Biomed. Signal Process. Control. 79 (Part) (2023)
Gang Cao, Liying Yang, Qian Zhang, Jianing Xi, Chengchuang Tang, Yang Tian
LUR: An Online Learning Model for EEG Emotion Recognition. BIBM (2023)
Yu Yu, Wen Shi, Guoxi Xie, Jianing Xi
Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network. BIBM (2023)
Jiaqian Yan, Jianing Xi, Zhenhua Yu
A parametric model for clustering single-cell mutation data. BIBM (2022)
Yifan Gu, Xuebing Yang, Lei Tian, Hongyu Yang, Jicheng Lv, Chao Yang, Jinwei Wang, Jianing Xi, Guilan Kong, Wensheng Zhang
Structure-aware siamese graph neural networks for encounter-level patient similarity learning. J. Biomed. Informatics 127 (2022)
Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples. Neurocomputing 468 (2022)
Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (2) (2021)
Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li
Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference. KDD (2021)
Xiguo Yuan, Chao Ma, Haiyong Zhao, Liying Yang, Shuzhen Wang, Jianing Xi
STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Jianing Xi, Zhaoji Miao, Qinghua Huang
A Comparison Study of Direct Inference and Knowledge Compensating Generalized Inference as Multidisciplinary for Medical Knowledge Graph. CISP-BMEI (2021)
Jianing Xi, Zhaoji Miao, Qinghua Huang
Transductive Learning for BI-RADS Knowledge Graph based on Knowledge Tensor Factorization. CISP-BMEI (2021)
Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Tianyi Zhang, Minghui Wang, Jianing Xi, Ao Li
LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (1) (2020)
Jianing Xi, Xiguo Yuan, Minghui Wang, Ao Li, Xuelong Li, Qinghua Huang
Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication. Bioinform. 36 (6) (2020)
Hang Wang, Jianing Xi, Minghui Wang, Ao Li
Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (2) (2020)
Jianing Xi, Ao Li, Minghui Wang
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. 17 (2) (2020)
Fei Xie, Jianing Xi, Qun Duan
Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples. Complex. 2020 (2020)
Jianing Xi, Ao Li, Minghui Wang
An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome. CISS (2018)
Jianing Xi, Ao Li, Minghui Wang
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints. Neurocomputing 296 (2018)
Jianing Xi, Minghui Wang, Ao Li
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. 19 (1) (2018)
Jianing Xi, Minghui Wang, Ao Li
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways. PeerJ Comput. Sci. 3 (2017)
Xiaocheng Liu, Jianing Xi, Changran Zhang, Huanqing Feng, Ao Li, Minghui Wang
Identification of driver network modules in protein-protein interaction network using patient mutation profiles. CISP-BMEI (2017)
Jianing Xi, Ao Li
Discovering Recurrent Copy Number Aberrations in Complex Patterns via Non-Negative Sparse Singular Value Decomposition. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)