Yijie Ding

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 84

Top Topics

Fuzzy Inference System

Multiple Kernel

Nearest Neighbor

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Comput. Biol. Medicine

Briefings Bioinform.

Knowl. Based Syst.

Publications

Lu Rong, Yijie Ding, Mengyao Wang, Abdulmotaleb El-Saddik, M. Shamim Hossain
A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data. IEEE Trans. Consumer Electron. 70 (1) (2024)
Hao Xie, Yijie Ding, Yuqing Qian, Prayag Tiwari, Fei Guo
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction. Expert Syst. Appl. 235 (2024)
Leyao Wang, Prayag Tiwari, Yijie Ding, Fei Guo
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis. IEEE Trans. Artif. Intell. 5 (2) (2024)
Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction. Knowl. Based Syst. 284 (2024)
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. Trans. Mach. Learn. Res. 2024 (2024)
Yijie Ding, Fei Guo, Prayag Tiwari, Quan Zou
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model. IEEE Trans. Artif. Intell. 5 (5) (2024)
Tan Yang, Hai Yang, Yan Liu, Xiao Liu, Yijie Ding, Run Li, AnQiong Mao, Yue Huang, Xiao-Liang Li, Ying Zhang, Feng-Xu Yu
Postoperative delirium prediction after cardiac surgery using machine learning models. Comput. Biol. Medicine 169 (2024)
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. CoRR (2024)
Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, Xianyi Zhao, Jie Wan, Yijie Ding, Ke Han
MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction. Future Gener. Comput. Syst. 160 (2024)
Mingshuai Chen, Mingai Sun, Xi Su, Prayag Tiwari, Yijie Ding
Fuzzy kernel evidence Random Forest for identifying pseudouridine sites. Briefings Bioinform. 25 (3) (2024)
Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy. Inf. Fusion 112 (2024)
Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning. ICIC (LNBI 2) (2024)
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism. Neural Networks 169 (2024)
Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning. Frontiers Comput. Sci. 18 (2) (2024)
Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, Prayag Tiwari, Yijie Ding
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides. Neural Networks 178 (2024)
Mingliang Dou, Jijun Tang, Prayag Tiwari, Yijie Ding, Fei Guo
Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review. ACM Comput. Surv. 56 (6) (2024)
Ke Han, Jianchun Wang, Yu Wang, Lei Zhang, Mengyao Yu, Fang Xie, Dequan Zheng, Yaoqun Xu, Yijie Ding, Jie Wan
A review of methods for predicting DNA N6-methyladenine sites. Briefings Bioinform. 24 (1) (2023)
Chengwei Ai, Prayag Tiwari, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model. IEEE Trans. Artif. Intell. 4 (5) (2023)
Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Leyao Wang, Yijie Ding, Prayag Tiwari, Junhai Xu, Wenhuan Lu, Khan Muhammad, Victor Hugo C. de Albuquerque, Fei Guo
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites. Inf. Sci. 630 (2023)
Xingyue Gu, Yijie Ding, Pengfeng Xiao
MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link. Comput. Biol. Medicine 167 (2023)
Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding
Subspace projection-based weighted echo state networks for predicting therapeutic peptides. Knowl. Based Syst. 263 (2023)
Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu
DNA protein binding recognition based on lifelong learning. Comput. Biol. Medicine 164 (2023)
Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo
Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (1) (2023)
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100 (2023)
Yutong Ming, Hongzhi Liu, Yizhi Cui, Shaoyong Guo, Yijie Ding, Ruijun Liu
Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm. Comput. Biol. Medicine 159 (2023)
Yu Wang, Yu Zhang, Jianchun Wang, Fang Xie, Dequan Zheng, Xiang Zou, Mian Guo, Yijie Ding, Jie Wan, Ke Han
Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model. Comput. Biol. Medicine 159 (2023)
Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou
SBSM-Pro: Support Bio-sequence Machine for Proteins. CoRR (2023)
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (2) (2023)
Leyao Wang, Yijie Ding, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation. Appl. Soft Comput. 122 (2022)
Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding
Prompt Learning for Multi-modal COVID-19 Diagnosis. BIBM (2022)
Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo
Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Ram Singh, Prayag Tiwari, Shahab S. Band, Attiq U. Rehman, Shubham Mahajan, Yijie Ding, Xiaobin Liu, Amit Kant Pandit
Impact of quarantine on fractional order dynamical model of Covid-19. Comput. Biol. Medicine 151 (Part) (2022)
Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network. Knowl. Based Syst. 238 (2022)
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
Identification of drug-side effect association via restricted Boltzmann machines with penalized term. Briefings Bioinform. 23 (6) (2022)
Mengwei Sun, Prayag Tiwari, Yuqing Qian, Yijie Ding, Quan Zou
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity. Knowl. Based Syst. 250 (2022)
Xiaoyi Guo, Prayag Tiwari, Ying Zhang, Shuguang Han, Yansu Wang, Yijie Ding
Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins. Comput. Biol. Medicine 151 (Part) (2022)
Yijie Ding, Chao Yang, Jijun Tang, Fei Guo
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model. Appl. Intell. 52 (6) (2022)
Yaojia Chen, Yanpeng Wang, Yijie Ding, Xi Su, Chunyu Wang
RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs. Comput. Biol. Medicine 143 (2022)
Yijie Ding, Jijun Tang, Fei Guo, Quan Zou
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization. Briefings Bioinform. 23 (2) (2022)
Yijie Ding, Prayag Tiwari, Quan Zou, Fei Guo, Hari Mohan Pandey
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 30 (11) (2022)
Ping Li, Prayag Tiwari, Junhai Xu, Yuqing Qian, Chengwei Ai, Yijie Ding, Fei Guo
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases. Knowl. Based Syst. 258 (2022)
Shulin Zhao, Yijie Ding, Xiaobin Liu, Xi Su
HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins. Comput. Biol. Medicine 145 (2022)
Yazhou Zhang, Yu He, Lu Rong, Yijie Ding
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory. BIBM (2022)
Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases. Neurocomputing 493 (2022)
Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning. BIBM (2022)
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156 (2022)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461 (2021)
Yubo Wang, Yijie Ding, Jijun Tang, Yu Dai, Fei Guo
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares. Appl. Soft Comput. 112 (2021)
Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding
Research on RNA Secondary Structure Prediction Based on MLP. ICIC (3) (2021)
Yan Zheng, Hao Wang, Yijie Ding, Fei Guo
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Yuqing Qian, Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo
A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC Bioinform. (3) (2021)
Yinuo Lyu, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding, Fei Guo
iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. ICIC (3) (2021)
Mengwei Sun, Yuqing Qian, Yijie Ding, Jijun Tang, Quan Zou
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model. BIBM (2021)
Chao Yang, Yijie Ding, Qiaozhen Meng, Jijun Tang, Fei Guo
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information. Neural Comput. Appl. 33 (17) (2021)
Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li
Research on RNA secondary structure predicting via bidirectional recurrent neural network. BMC Bioinform. (3) (2021)
Yijie Ding, Jijun Tang, Fei Guo
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. ICIC (3) (2021)
Hao Wang, Jijun Tang, Yijie Ding, Fei Guo
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment. Briefings Bioinform. 22 (5) (2021)
Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32 (14) (2020)
Yinan Shen, Yijie Ding, Jijun Tang, Quan Zou, Fei Guo
Critical evaluation of web-based prediction tools for human protein subcellular localization. Briefings Bioinform. 21 (5) (2020)
Yijie Ding, Jijun Tang, Fei Guo
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion. Knowl. Based Syst. 204 (2020)
Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides. BIBM (2020)
Yijie Ding, Jijun Tang, Fei Guo
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96 (2020)
Hao Wang, Yijie Ding, Jijun Tang, Fei Guo
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. Neurocomputing 383 (2020)
Yijie Ding, Limin Jiang, Jijun Tang, Fei Guo
Identification of human microRNA-disease association via hypergraph embedded bipartite local model. Comput. Biol. Chem. 89 (2020)
Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li
Ranking near-native candidate protein structures via random forest classification. BMC Bioinform. (25) (2019)
Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) (2019)
Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) (2019)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing 325 (2019)
Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information. IEEE Access 7 (2019)
Yijie Ding, Jijun Tang, Fei Guo
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Yijie Ding, Jijun Tang, Fei Guo
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. ICIC (2) (2019)
Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117 (2018)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418 (2017)
Yijie Ding, Jijun Tang, Fei Guo
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. J. Chem. Inf. Model. 57 (12) (2017)
Yijie Ding, Jijun Tang, Fei Guo
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17 (2016)
Fei Guo, Yijie Ding, Shuai Cheng Li, Chao Shen, Lusheng Wang
Protein-protein interface prediction based on hexagon structure similarity. Comput. Biol. Chem. 63 (2016)
Fei Guo, Yijie Ding, Zhao Li, Jijun Tang
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface. J. Chem. Inf. Model. 55 (9) (2015)