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ORCIDJijun Tang
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Publications
- 2024
[j88]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): 158:1-158:33 (2024)- [i6]Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Ruihan Dong, Yijie Ding, Qianqian Yuan, Jijun Tang, Fei Guo:
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning. CoRR abs/2409.13259 (2024) - 2023
- [j80]Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Yijie Ding, Fei Guo, Jijun Tang:
MVML-MPI: Multi-View Multi-Label Learning for Metabolic Pathway Inference. Briefings Bioinform. 24(6) (2023) - [j76]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): 1236-1245 (2023) - [j74]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): 500-511 (2023) - [j73]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): 3033-3043 (2023) - 2022
- [j72]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): 6598-6612 (2022) - [j71]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: 108840 (2022) - [j69]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) - [j65]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: 91-105 (2022) - [j64]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: 107888 (2022) - [j61]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): 3517-3529 (2022) - 2021
- [j59]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: 107811 (2021) - [j57]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) - [j52]Yuqing Qian, Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo:
A sequence-based multiple kernel model for identifying DNA-binding proteins. BMC Bioinform. 22-S(3): 291 (2021) - [j50]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461: 618-631 (2021) - [j49]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): 11387-11399 (2021) - [j48]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): 325-335 (2021) - [j46]Yijie Ding, Jijun Tang, Fei Guo:
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1986-1995 (2021) - [c55]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: 80-85 - 2020
- [j44]Yijie Ding, Jijun Tang, Fei Guo:
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96: 106596 (2020) - [j43]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): 1628-1640 (2020) - [j41]Yijie Ding, Limin Jiang, Jijun Tang, Fei Guo:
Identification of human microRNA-disease association via hypergraph embedded bipartite local model. Comput. Biol. Chem. 89: 107369 (2020) - [j40]Hao Wang, Yijie Ding, Jijun Tang, Fei Guo:
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion. Neurocomputing 383: 257-269 (2020) - [j38]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: 106254 (2020) - [j37]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32(14): 10303-10319 (2020) - [c48]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: 56-61 - 2019
- [j35]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: 13486-13496 (2019) - [j33]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-side effect association via multiple information integration with centered kernel alignment. Neurocomputing 325: 211-224 (2019) - [j31]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): 2619-2632 (2019) - [c45]Yijie Ding, Jijun Tang, Fei Guo:
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information. ICIC (2) 2019: 468-479 - 2018
- [j26]Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou:
Prediction of human protein subcellular localization using deep learning. J. Parallel Distributed Comput. 117: 212-217 (2018) - 2017
- [j22]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418: 546-560 (2017) - [j21]Yijie Ding, Jijun Tang, Fei Guo:
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier. J. Chem. Inf. Model. 57(12): 3149-3161 (2017) - 2016
- [j19]Yijie Ding, Jijun Tang, Fei Guo:
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17: 398 (2016) - 2015
- [j14]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): 2042-2049 (2015)
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