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2020 – today
- 2025
[j17]Haotian Gong, Jianing Xi, Cong Li, Hailong Zhang, Sisi Chen, Shuanlong Che, Ling Qi, Guiying Zhang:
Channel transformer based multi field-of-view model to detect tumor spread through air space in histopathological images. Expert Syst. Appl. 266: 126125 (2025)- 2023
- [j16]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): 104144 (2023) - [j15]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: 106672 (2023) - [c8]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: 958-964 - [c7]Gang Cao, Liying Yang, Qian Zhang, Jianing Xi, Chengchuang Tang, Yang Tian:
LUR: An Online Learning Model for EEG Emotion Recognition. BIBM 2023: 1038-1045 - 2022
- [j14]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: 60-70 (2022) - [j13]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: 104027 (2022) - [c6]Jiaqian Yan, Jianing Xi, Zhenhua Yu:
A parametric model for clustering single-cell mutation data. BIBM 2022: 253-260 - 2021
- [j12]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): 539-549 (2021) - [j11]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): 1811-1820 (2021) - [j10]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): 2692-2701 (2021) - [c5]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: 1-5 - [c4]Jianing Xi, Zhaoji Miao, Qinghua Huang:
Transductive Learning for BI-RADS Knowledge Graph based on Knowledge Tensor Factorization. CISP-BMEI 2021: 1-5 - [c3]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: 3756-3764 - 2020
- [j9]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): 1855-1863 (2020) - [j8]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: 6643551:1-6643551:12 (2020) - [j7]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): 189-197 (2020) - [j6]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): 422-434 (2020) - [j5]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): 587-598 (2020)
2010 – 2019
- 2018
- [j4]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): 214:1-214:14 (2018) - [j3]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: 64-73 (2018) - [c2]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: 1-6 - 2017
- [j2]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: e133 (2017) - [c1]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: 1-6 - 2016
- [j1]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): 656-668 (2016)
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