Yijie Ding

According to our database, Yijie Ding authored at least 93 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites.

Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding

IEEE Trans. Fuzzy Syst., October, 2024

Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review.

Mingliang Dou, Jijun Tang, Prayag Tiwari, Yijie Ding, Fei Guo

ACM Comput. Surv., June, 2024

Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model.

Yijie Ding, Fei Guo, Prayag Tiwari, Quan Zou

IEEE Trans. Artif. Intell., May, 2024

Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.

Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang

Frontiers Comput. Sci., April, 2024

A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data.

Lu Rong, Yijie Ding, Mengyao Wang, Abdulmotaleb El-Saddik, M. Shamim Hossain

IEEE Trans. Consumer Electron., February, 2024

Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.

Leyao Wang, Prayag Tiwari, Yijie Ding, Fei Guo

IEEE Trans. Artif. Intell., February, 2024

Postoperative delirium prediction after cardiac surgery using machine learning models.

Tan Yang, Hai Yang, Yan Liu, Xiao Liu, Yijie Ding, Run Li, AnQiong Mao, Yue Huang, Xiao-Liang Li, Ying Zhang, Feng-Xu Yu

Comput. Biol. Medicine, February, 2024

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.

Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding

Neural Networks, January, 2024

Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.

Hao Xie, Yijie Ding, Yuqing Qian, Prayag Tiwari, Fei Guo

Expert Syst. Appl., January, 2024

Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction.

Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou

Trans. Mach. Learn. Res., 2024

PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites.

Mingshuai Chen, Quan Zou, Ren Qi, Yijie Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.

Yuqing Qian, Quan Zou, Mengyuan Zhao, Yi Liu, Fei Guo, Yijie Ding

PLoS Comput. Biol., 2024

MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.

Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, Ruihan Dong, Yijie Ding, Fei Guo

PLoS Comput. Biol., 2024

Sequence homology score-based deep fuzzy network for identifying therapeutic peptides.

Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, Prayag Tiwari, Yijie Ding

Neural Networks, 2024

AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction.

Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding

Knowl. Based Syst., 2024

Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy.

Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding

Inf. Fusion, 2024

MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction.

Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, Xianyi Zhao, Jie Wan, Yijie Ding, Ke Han

Future Gener. Comput. Syst., 2024

Inductive Generative Recommendation via Retrieval-based Speculation.

Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley

CoRR, 2024

A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning.

Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Ruihan Dong, Yijie Ding, Qianqian Yuan, Jijun Tang, Fei Guo

CoRR, 2024

Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization.

Wenyu Zhang, Yijie Ding, Leyi Wei, Xiaoyi Guo, Fengming Ni

Briefings Bioinform., 2024

Fuzzy kernel evidence Random Forest for identifying pseudouridine sites.

Mingshuai Chen, Mingai Sun, Xi Su, Prayag Tiwari, Yijie Ding

Briefings Bioinform., 2024

AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning.

Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.

Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou

Inf. Fusion, December, 2023

MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link.

Xingyue Gu, Yijie Ding, Pengfeng Xiao

Comput. Biol. Medicine, December, 2023

Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.

Chengwei Ai, Prayag Tiwari, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo

IEEE Trans. Artif. Intell., October, 2023

DNA protein binding recognition based on lifelong learning.

Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu

Comput. Biol. Medicine, September, 2023

MVML-MPI: Multi-View Multi-Label Learning for Metabolic Pathway Inference.

Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Yijie Ding, Fei Guo, Jijun Tang

Briefings Bioinform., September, 2023

A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.

Leyao Wang, Yijie Ding, Prayag Tiwari, Junhai Xu, Wenhuan Lu, Khan Muhammad, Victor Hugo C. de Albuquerque, Fei Guo

Inf. Sci., June, 2023

Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model.

Yu Wang, Yu Zhang, Jianchun Wang, Fang Xie, Dequan Zheng, Xiang Zou, Mian Guo, Yijie Ding, Jie Wan, Ke Han

Comput. Biol. Medicine, June, 2023

Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm.

Yutong Ming, Hongzhi Liu, Yizhi Cui, Shaoyong Guo, Yijie Ding, Ruijun Liu

Comput. Biol. Medicine, June, 2023

Subspace projection-based weighted echo state networks for predicting therapeutic peptides.

Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding

Knowl. Based Syst., March, 2023

A review of methods for predicting DNA N6-methyladenine sites.

Ke Han, Jianchun Wang, Yu Wang, Lei Zhang, Mengyao Yu, Fang Xie, Dequan Zheng, Yaoqun Xu, Yijie Ding, Jie Wan

Briefings Bioinform., January, 2023

Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.

Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction.

Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.

Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm.

Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.

Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

SBSM-Pro: Support Bio-sequence Machine for Proteins.

Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou

CoRR, 2023

2022

C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.

Yijie Ding, Prayag Tiwari, Quan Zou, Fei Guo, Hari Mohan Pandey

IEEE Trans. Fuzzy Syst., 2022

Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning.

Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning.

Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.

Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou

Neural Networks, 2022

Inferring human microbe-drug associations via multiple kernel fusion on graph neural network.

Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo

Knowl. Based Syst., 2022

MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity.

Mengwei Sun, Prayag Tiwari, Yuqing Qian, Yijie Ding, Quan Zou

Knowl. Based Syst., 2022

Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.

Ping Li, Prayag Tiwari, Junhai Xu, Yuqing Qian, Chengwei Ai, Yijie Ding, Fei Guo

Knowl. Based Syst., 2022

A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.

Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo

Neurocomputing, 2022

HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins.

Shulin Zhao, Yijie Ding, Xiaobin Liu, Xi Su

Comput. Biol. Medicine, 2022

Impact of quarantine on fractional order dynamical model of Covid-19.

Ram Singh, Prayag Tiwari, Shahab S. Band, Attiq U. Rehman, Shubham Mahajan, Yijie Ding, Xiaobin Liu, Amit Kant Pandit

Comput. Biol. Medicine, 2022

Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment.

Yue Huang, YingBo Ren, Hai Yang, YiJie Ding, Yan Liu, YunChun Yang, AnQiong Mao, Tan Yang, YingZi Wang, Feng Xiao, QiZhou He, Ying Zhang

Comput. Biol. Medicine, 2022

Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins.

Xiaoyi Guo, Prayag Tiwari, Ying Zhang, Shuguang Han, Yansu Wang, Yijie Ding

Comput. Biol. Medicine, 2022

RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs.

Yaojia Chen, Yanpeng Wang, Yijie Ding, Xi Su, Chunyu Wang

Comput. Biol. Medicine, 2022

Identification of drug-side effect association via restricted Boltzmann machines with penalized term.

Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo

Briefings Bioinform., 2022

Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.

Yijie Ding, Jijun Tang, Fei Guo, Quan Zou

Briefings Bioinform., 2022

Identification of DNA N4-methylcytosine sites via fuzzy model on self representation.

Leyao Wang, Yijie Ding, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo

Appl. Soft Comput., 2022

Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model.

Yijie Ding, Chao Yang, Jijun Tang, Fei Guo

Appl. Intell., 2022

A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory.

Yazhou Zhang, Yu He, Lu Rong, Yijie Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Prompt Learning for Multi-modal COVID-19 Diagnosis.

Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.

Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites.

Yan Zheng, Hao Wang, Yijie Ding, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors.

Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.

Yubo Wang, Yijie Ding, Jijun Tang, Yu Dai, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition.

Yinuo Lyu, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.

Yijie Ding, Jijun Tang, Fei Guo

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information.

Chao Yang, Yijie Ding, Qiaozhen Meng, Jijun Tang, Fei Guo

Neural Comput. Appl., 2021

Identification of drug-target interactions via multi-view graph regularized link propagation model.

Yijie Ding, Jijun Tang, Fei Guo

Neurocomputing, 2021

A sequence-based multiple kernel model for identifying DNA-binding proteins.

Yuqing Qian, Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo

BMC Bioinform., 2021

Research on RNA secondary structure predicting via bidirectional recurrent neural network.

Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li

BMC Bioinform., 2021

Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment.

Hao Wang, Jijun Tang, Yijie Ding, Fei Guo

Briefings Bioinform., 2021

Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares.

Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo

Appl. Soft Comput., 2021

Membrane Protein Identification via Multiple Kernel Fuzzy SVM.

Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen

Proceedings of the Intelligent Computing Theories and Application, 2021

Research on RNA Secondary Structure Prediction Based on MLP.

Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding

Proceedings of the Intelligent Computing Theories and Application, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.

Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model.

Mengwei Sun, Yuqing Qian, Yijie Ding, Jijun Tang, Quan Zou

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

Identification of drug-target interactions via fuzzy bipartite local model.

Yijie Ding, Jijun Tang, Fei Guo

Neural Comput. Appl., 2020

Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion.

Yijie Ding, Jijun Tang, Fei Guo

Knowl. Based Syst., 2020

Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion.

Hao Wang, Yijie Ding, Jijun Tang, Fei Guo

Neurocomputing, 2020

Identification of human microRNA-disease association via hypergraph embedded bipartite local model.

Yijie Ding, Limin Jiang, Jijun Tang, Fei Guo

Comput. Biol. Chem., 2020

Critical evaluation of web-based prediction tools for human protein subcellular localization.

Yinan Shen, Yijie Ding, Jijun Tang, Quan Zou, Fei Guo

Briefings Bioinform., 2020

Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation.

Yijie Ding, Jijun Tang, Fei Guo

Appl. Soft Comput., 2020

An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides.

Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.

Yijie Ding, Jijun Tang, Fei Guo

IEEE J. Biomed. Health Informatics, 2019

Identification of drug-side effect association via multiple information integration with centered kernel alignment.

Yijie Ding, Jijun Tang, Fei Guo

Neurocomputing, 2019

Ranking near-native candidate protein structures via random forest classification.

Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li

BMC Bioinform., 2019

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information.

Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo

IEEE Access, 2019

A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information.

Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang

Proceedings of the Intelligent Computing Theories and Application, 2019

Research on RNA Secondary Structure Prediction Based on Decision Tree.

Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.

Yijie Ding, Jijun Tang, Fei Guo

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Prediction of human protein subcellular localization using deep learning.

Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou

J. Parallel Distributed Comput., 2018

2017

Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.

Yijie Ding, Jijun Tang, Fei Guo

J. Chem. Inf. Model., December, 2017

Identification of drug-target interactions via multiple information integration.

Yijie Ding, Jijun Tang, Fei Guo

Inf. Sci., 2017

2016

Protein-protein interface prediction based on hexagon structure similarity.

Fei Guo, Yijie Ding, Shuai Cheng Li, Chao Shen, Lusheng Wang

Comput. Biol. Chem., 2016

Predicting protein-protein interactions via multivariate mutual information of protein sequences.

Yijie Ding, Jijun Tang, Fei Guo

BMC Bioinform., 2016

2015

Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface.

Fei Guo, Yijie Ding, Zhao Li, Jijun Tang

J. Chem. Inf. Model., 2015