Jianing Xi

28 papers A* 1Misc 1Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Asynchronous storming-norming ant colony system for project scheduling under scenario perturbation of activity attributes.
Swarm Evol. Comput.
Wen Shi, Feng-Feng Wei, Xiaolin Bo, Zhisheng Bi, Jianing Xi, Wei-Neng Chen
2025 J jnl
Channel transformer based multi field-of-view model to detect tumor spread through air space in histopathological images.
Expert Syst. Appl.
Haotian Gong, Jianing Xi, Cong Li, Hailong Zhang, Sisi Chen, Shuanlong Che, Ling Qi, Guiying Zhang
2025 J jnl
Cortical Activation Patterns Determine Effectiveness of rTMS-Induced Motor Imagery Decoding Enhancement in Stroke Patients.
IEEE Trans. Biomed. Eng.
Tianyu Jia, Linhong Mo, Ciarán McGeady, Jingyao Sun, Aixian Liu, Linhong Ji, Jianing Xi, Chong Li
2025 J jnl
Explainable Reasoning Path Inference of Anti-Cancer Drug Sensitivity on Genomic Knowledge Graph via Macro-Micro Agent Collaborative Reinforcement Learning.
IEEE Trans. Comput. Biol. Bioinform.
Minhua Feng, Liping Tang, Juntao Liang, Song Huang, Jianfeng Ma, Zhimin Zheng, Ranran Guo, Wen Shi, Jianing Xi
2023 J jnl
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
Jianing Xi, Donghui Sun, Cai Chang, Shichong Zhou, Qinghua Huang
2023 J jnl
Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability.
Biomed. Signal Process. Control.
Jianing Xi, Dan Wang, Xuebing Yang, Wensheng Zhang, Qinghua Huang
2023 — conf
LUR: An Online Learning Model for EEG Emotion Recognition.
BIBM
Gang Cao, Liying Yang, Qian Zhang, Jianing Xi, Chengchuang Tang, Yang Tian
2023 — conf
Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network.
BIBM
Yu Yu, Wen Shi, Guoxi Xie, Jianing Xi
2022 — conf
A parametric model for clustering single-cell mutation data.
BIBM
Jiaqian Yan, Jianing Xi, Zhenhua Yu
2022 J jnl
Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.
Neurocomputing
Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li
2022 J jnl
Structure-aware siamese graph neural networks for encounter-level patient similarity learning.
J. Biomed. Informatics
Yifan Gu, Xuebing Yang, Lei Tian, Hongyu Yang, Jicheng Lv, Chao Yang, Jinwei Wang, Jianing Xi, Guilan Kong, Wensheng Zhang
2021 — conf
A Comparison Study of Direct Inference and Knowledge Compensating Generalized Inference as Multidisciplinary for Medical Knowledge Graph.
CISP-BMEI
Jianing Xi, Zhaoji Miao, Qinghua Huang
2021 J jnl
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi
2021 J jnl
CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan
2021 J jnl
STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Chao Ma, Haiyong Zhao, Liying Yang, Shuzhen Wang, Jianing Xi
2021 A* conf
Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference.
KDD
Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li
2021 — conf
Transductive Learning for BI-RADS Knowledge Graph based on Knowledge Tensor Factorization.
CISP-BMEI
Jianing Xi, Zhaoji Miao, Qinghua Huang
2020 J jnl
Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples.
Complex.
Fei Xie, Jianing Xi, Qun Duan
2020 J jnl
Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hang Wang, Jianing Xi, Minghui Wang, Ao Li
2020 J jnl
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.
Jianing Xi, Ao Li, Minghui Wang
2020 J jnl
Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication.
Bioinform.
Jianing Xi, Xiguo Yuan, Minghui Wang, Ao Li, Xuelong Li, Qinghua Huang
2020 J jnl
LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tianyi Zhang, Minghui Wang, Jianing Xi, Ao Li
2018 J jnl
A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints.
Neurocomputing
Jianing Xi, Ao Li, Minghui Wang
2018 Misc conf
An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome.
CISS
Jianing Xi, Ao Li, Minghui Wang
2018 J jnl
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.
Jianing Xi, Minghui Wang, Ao Li
2017 J jnl
DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways.
PeerJ Comput. Sci.
Jianing Xi, Minghui Wang, Ao Li
2017 — conf
Identification of driver network modules in protein-protein interaction network using patient mutation profiles.
CISP-BMEI
Xiaocheng Liu, Jianing Xi, Changran Zhang, Huanqing Feng, Ao Li, Minghui Wang
2016 J jnl
Discovering Recurrent Copy Number Aberrations in Complex Patterns via Non-Negative Sparse Singular Value Decomposition.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jianing Xi, Ao Li