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Pingjian Ding
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 30
Top Topics
Regularization Framework
Machine Learning
Negative Matrix Factorization
Heterogeneous Networks
Top Venues
J. Biomed. Informatics
IEEE ACM Trans. Comput. Biol. Bioinform.
IEEE Access
J. Chem. Inf. Model.
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Publications
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Hanyu Luo
,
Ye Li
,
Huan Liu
,
Pingjian Ding
,
Ying Yu
,
Lingyun Luo
SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information.
Comput. Biol. Chem.
105 (2023)
Cong Shen
,
Pingjian Ding
,
Junjie Wee
,
Jialin Bi
,
Jiawei Luo
,
Kelin Xia
Curvature-enhanced Graph Convolutional Network for Biomolecular Interaction Prediction.
CoRR
(2023)
Yichen Zhong
,
Cong Shen
,
Xiaoting Xi
,
Yuxun Luo
,
Pingjian Ding
,
Lingyun Luo
Multitask joint learning with graph autoencoders for predicting potential MiRNA-drug associations.
Artif. Intell. Medicine
145 (2023)
Cheng Chen
,
Lingyun Luo
,
Chunlei Zheng
,
Pingjian Ding
,
Huan Liu
,
Hanyu Luo
Self-prediction of relations in GO facilitates its quality auditing.
J. Biomed. Informatics
144 (2023)
Zhenxiang Gao
,
Pingjian Ding
,
Rong Xu
KG-Predict: A knowledge graph computational framework for drug repurposing.
J. Biomed. Informatics
132 (2022)
Hanyu Luo
,
Cheng Chen
,
Wenyu Shan
,
Pingjian Ding
,
Lingyun Luo
iEnhancer-BERT: A Novel Transfer Learning Architecture Based on DNA-Language Model for Identifying Enhancers and Their Strength.
ICIC (2)
(2022)
Pingjian Ding
,
Yiheng Pan
,
QuanQiu Wang
,
Rong Xu
Prediction and evaluation of combination pharmacotherapy using natural language processing, machine learning and patient electronic health records.
J. Biomed. Informatics
133 (2022)
Zhenxiang Gao
,
Rong Xu
,
Yiheng Pan
,
Pingjian Ding
A knowledge graph-driven disease-gene prediction system using multi-relational graph convolution networks.
AMIA
(2022)
Cong Shen
,
Jiawei Luo
,
Wenjue Ouyang
,
Pingjian Ding
,
Xiangtao Chen
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors.
Bioinform.
36 (22-23) (2021)
Jiawei Luo
,
Cong Shen
,
Zihan Lai
,
Jie Cai
,
Pingjian Ding
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization.
IEEE ACM Trans. Comput. Biol. Bioinform.
18 (6) (2021)
Pingjian Ding
,
Cheng Liang
,
Wenjue Ouyang
,
Guanghui Li
,
Qiu Xiao
,
Jiawei Luo
Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
18 (4) (2021)
Pingjian Ding
,
Cong Shen
,
Zihan Lai
,
Cheng Liang
,
Guanghui Li
,
Jiawei Luo
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization.
J. Chem. Inf. Model.
60 (1) (2020)
Guanghui Li
,
Jiawei Luo
,
Diancheng Wang
,
Cheng Liang
,
Qiu Xiao
,
Pingjian Ding
,
Hailin Chen
Potential circRNA-disease association prediction using DeepWalk and network consistency projection.
J. Biomed. Informatics
112 (2020)
Cong Shen
,
Jiawei Luo
,
Zihan Lai
,
Pingjian Ding
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge.
J. Chem. Inf. Model.
60 (8) (2020)
Cong Shen
,
Jiawei Luo
,
Wenjue Ouyang
,
Pingjian Ding
,
Hao Wu
Identification of Small Molecule-miRNA Associations with Graph Regularization Techniques in Heterogeneous Networks.
J. Chem. Inf. Model.
60 (12) (2020)
Pingjian Ding
,
Wenjue Ouyang
,
Jiawei Luo
,
Chee-Keong Kwoh
Heterogeneous information network and its application to human health and disease.
Briefings Bioinform.
21 (4) (2020)
Qiu Xiao
,
Jiawei Luo
,
Cheng Liang
,
Guanghui Li
,
Jie Cai
,
Pingjian Ding
,
Ying Liu
Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer.
IEEE ACM Trans. Comput. Biol. Bioinform.
17 (2) (2020)
Guanghui Li
,
Jiawei Luo
,
Cheng Liang
,
Qiu Xiao
,
Pingjian Ding
,
Yuejin Zhang
Prediction of LncRNA-Disease Associations Based on Network Consistency Projection.
IEEE Access
7 (2019)
Pingjian Ding
,
Rui Yin
,
Jiawei Luo
,
Chee Keong Kwoh
Ensemble Prediction of Synergistic Drug Combinations Incorporating Biological, Chemical, Pharmacological, and Network Knowledge.
IEEE J. Biomed. Health Informatics
23 (3) (2019)
Ying Liu
,
Jiawei Luo
,
Pingjian Ding
Inferring MicroRNA Targets Based on Restricted Boltzmann Machines.
IEEE J. Biomed. Health Informatics
23 (1) (2019)
Pingjian Ding
,
Jiawei Luo
,
Cheng Liang
,
Qiu Xiao
,
Buwen Cao
Human disease MiRNA inference by combining target information based on heterogeneous manifolds.
J. Biomed. Informatics
80 (2018)
Buwen Cao
,
Shuguang Deng
,
Jiawei Luo
,
Pingjian Ding
,
Shulin Wang
Identification of overlapping protein complexes by fuzzy K-medoids clustering algorithm in yeast protein-protein interaction networks.
J. Intell. Fuzzy Syst.
34 (1) (2018)
Guanghui Li
,
Jiawei Luo
,
Qiu Xiao
,
Cheng Liang
,
Pingjian Ding
Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity.
J. Biomed. Informatics
82 (2018)
Qiu Xiao
,
Jiawei Luo
,
Cheng Liang
,
Jie Cai
,
Pingjian Ding
A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations.
Bioinform.
34 (2) (2018)
Jiawei Luo
,
Pingjian Ding
,
Cheng Liang
,
Xiangtao Chen
Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks.
Neurocomputing
294 (2018)
Qiao Zhu
,
Jiawei Luo
,
Pingjian Ding
,
Qiu Xiao
GRTR: Drug-Disease Association Prediction Based on Graph Regularized Transductive Regression on Heterogeneous Network.
ISBRA
(2018)
Jiawei Luo
,
Qiu Xiao
,
Cheng Liang
,
Pingjian Ding
Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data.
IEEE Access
5 (2017)
Pingjian Ding
,
Jiawei Luo
,
Cheng Liang
,
Jie Cai
,
Ying Liu
,
Xiangtao Chen
A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity.
IEEE Access
5 (2017)
Jiawei Luo
,
Pingjian Ding
,
Cheng Liang
,
Buwen Cao
,
Xiangtao Chen
Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
14 (6) (2017)
Guanghui Li
,
Jiawei Luo
,
Qiu Xiao
,
Cheng Liang
,
Pingjian Ding
,
Buwen Cao
Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk.
IEEE Access
5 (2017)