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2020 – today
- 2024
[j74]Mingshuai Chen, Mingai Sun, Xi Su, Prayag Tiwari
, Yijie Ding:
Fuzzy kernel evidence Random Forest for identifying pseudouridine sites. Briefings Bioinform. 25(3) (2024)- [j73]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: 107818 (2024) - [j72]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) - [j71]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: 121157 (2024) - [j70]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): 182903 (2024) - [j69]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: 844-853 (2024) - [j68]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: 102563 (2024) - [j67]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: 111329 (2024) - [j66]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: 623-636 (2024) - [j65]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: 106458 (2024) - [j64]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): 895-903 (2024) - [j63]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): 2151-2162 (2024) - [j62]Mingshuai Chen, Quan Zou, Ren Qi, Yijie Ding:
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1423-1435 (2024) - [j61]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): 3697-3708 (2024) - [j60]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding:
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites. IEEE Trans. Fuzzy Syst. 32(10): 5714-5727 (2024) - [j59]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) - [c12]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: 3-14 - [i4]Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou:
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction. CoRR abs/2407.00105 (2024) - [i3]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) - [i2]Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley:
Inductive Generative Recommendation via Retrieval-based Speculation. CoRR abs/2410.02939 (2024) - 2023
- [j58]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) - [j57]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: 106849 (2023) - [j56]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: 106955 (2023) - [j55]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: 107094 (2023) - [j54]Xingyue Gu, Yijie Ding, Pengfeng Xiao:
MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link. Comput. Biol. Medicine 167: 107618 (2023) - [j53]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou:
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites. Inf. Fusion 100: 101911 (2023) - [j52]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: 40-52 (2023) - [j51]Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding:
Subspace projection-based weighted echo state networks for predicting therapeutic peptides. Knowl. Based Syst. 263: 110307 (2023) - [j50]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) - [j49]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) - [j48]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): 1234-1245 (2023) - [j47]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): 1246-1256 (2023) - [j46]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): 2619-2628 (2023) - [j45]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) - [i1]Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou:
SBSM-Pro: Support Bio-sequence Machine for Proteins. CoRR abs/2308.10275 (2023) - 2022
- [j44]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) - [j43]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) - [j42]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) - [j41]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) - [j40]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: 105322 (2022) - [j39]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: 105395 (2022) - [j38]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): 106266 (2022) - [j37]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): 106268 (2022) - [j36]Yue Huang, YingBo Ren, Hai Yang, YiJie Ding, Yan Liu, YunChun Yang, AnQiong Mao, Tan Yang, YingZi Wang, Feng Xiao, QiZhou He, Ying Zhang:
Using a machine learning-based risk prediction model to analyze the coronary artery calcification score and predict coronary heart disease and risk assessment. Comput. Biol. Medicine 151(Part): 106297 (2022) - [j35]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) - [j34]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) - [j33]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: 109174 (2022) - [j32]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: 110044 (2022) - [j31]Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou:
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization. Neural Networks 156: 170-178 (2022) - [j30]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): 3126-3134 (2022) - [j29]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) - [j28]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): 4754-4765 (2022) - [c11]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: 6-11 - [c10]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: 2727-2734 - [c9]Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding:
Prompt Learning for Multi-modal COVID-19 Diagnosis. BIBM 2022: 2803-2807 - 2021
- [j27]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) - [j26]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) - [j25]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) - [j24]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. 22-S(3): 431 (2021) - [j23]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461: 618-631 (2021) - [j22]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) - [j21]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) - [j20]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): 1752-1762 (2021) - [j19]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) - [j18]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): 2768-2774 (2021) - [j17]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): 2809-2815 (2021) - [c8]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 - [c7]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: 222-230 - [c6]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: 336-344 - [c5]Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen:
Membrane Protein Identification via Multiple Kernel Fuzzy SVM. ICIC (3) 2021: 634-646 - 2020
- [j16]Yijie Ding, Jijun Tang, Fei Guo:
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation. Appl. Soft Comput. 96: 106596 (2020) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [j11]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via fuzzy bipartite local model. Neural Comput. Appl. 32(14): 10303-10319 (2020) - [c4]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
2010 – 2019
- 2019
- [j10]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) - [j9]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. 20-S(25): 683 (2019) - [j8]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) - [j7]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) - [c3]Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang:
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information. ICIC (2) 2019: 418-429 - [c2]Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding:
Research on RNA Secondary Structure Prediction Based on Decision Tree. ICIC (2) 2019: 430-439 - [c1]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
- [j6]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
- [j5]Yijie Ding, Jijun Tang, Fei Guo:
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418: 546-560 (2017) - [j4]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
- [j3]Yijie Ding, Jijun Tang, Fei Guo:
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17: 398 (2016) - [j2]Fei Guo, Yijie Ding, Shuai Cheng Li, Chao Shen, Lusheng Wang:
Protein-protein interface prediction based on hexagon structure similarity. Comput. Biol. Chem. 63: 83-88 (2016) - 2015
- [j1]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)
Coauthor Index
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