Yijie Ding

110 papers A* 2Journal 95Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enhancing anticancer peptide discovery: A fusion-centric framework with conditional diffusion for prediction and generation.
PLoS Comput. Biol.
Binyu Li, Xin Zhang, Zhihua Huang, Prayag Tiwari, Quan Zou, Yijie Ding, Xiaoyi Guo
2026 J jnl
How Well Does Generative Recommendation Generalize?
CoRR
Yijie Ding, Zitian Guo, Jiacheng Li, Letian Peng, Shuai Shao, Wei Shao, Xiaoqiang Luo, Luke Simon, Jingbo Shang, Julian J. McAuley, Yupeng Hou
2026 A* conf
Inductive Generative Recommendation via Retrieval-based Speculation.
AAAI
Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2026 A* conf
ReACT: Reward-informed Autoregressive Decision CAD Transformer.
AAAI
Yijie Ding, Yang Liu, Haobo Jiang, Jianmin Zheng
2025 J jnl
A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications.
Inf. Fusion
Yuqing Qian, Yizheng Wang, Junkai Liu, Quan Zou, Yijie Ding, Xiaoyi Guo, Weiping Ding
2025 J jnl
Beyond ST-246: Unveiling Potential Inhibitors Targeting VP37 Protein in Silico From Herb and Marine Databases.
J. Comput. Chem.
Runhua Zhang, Xin Zhang, Shulin Zhao, Quan Zou, Yijie Ding, Xiaoyi Guo, Hongjie Wu
2025 J jnl
Block sparse Bayes-based fuzzy system for RNA N6-methyladenosine sites prediction.
PLoS Comput. Biol.
Leyao Wang, Mengyuan Zhao, Hao Xie, Yuqing Qian, Wenhuan Lu, Yijie Ding, Fei Guo
2025 J jnl
Dual-Branch Hypergraph Convolutional Network Learning Spectral-Spatial-Semantic Features for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shuran Jing, Jinghua Li, Yijie Ding, Dehui Kong, Baocai Yin
2025 J jnl
EDDINet: Enhancing drug-drug interaction prediction via information flow and consensus constrained multi-graph contrastive learning.
Artif. Intell. Medicine
Hong Wang, Luhe Zhuang, Yijie Ding, Prayag Tiwari, Cheng Liang
2025 J jnl
EPIPDLF: a pretrained deep learning framework for predicting enhancer-promoter interactions.
Bioinform.
Zhichao Xiao, Yan Li, Yijie Ding, Liang Yu
2025 J jnl
Kernelized Fuzzy System for Predicting Therapeutic Peptides via Deep Stacked Encoder.
IEEE Trans. Comput. Biol. Bioinform.
Xiaoyi Guo, Yijie Ding, Quan Zou
2025 J jnl
Multiple kernel-based fuzzy system for identifying enhancers.
Expert Syst. Appl.
Zhichao Xiao, Yijie Ding, Liang Yu
2025 J jnl
Prediction of ncRNA-Disease Association Based on Correntropy Induced Loss Matrix Factorization Model.
IEEE Trans. Comput. Biol. Bioinform.
Ping Li, Yuqing Qian, Junhai Xu, Yijie Ding, Fei Guo
2025 — conf
SeqAlignXGBoost: Sequence Alignment and Feature Selection for m1A Modification Site Identification.
ICIC (28)
Yizheng Wang, Yijie Ding, Quan Zou
2025 J jnl
Structured Sparse Regularization-Based Deep Fuzzy Networks for RNA N6-Methyladenosine Sites Prediction.
IEEE Trans. Fuzzy Syst.
Leyao Wang, Yuqing Qian, Hao Xie, Yijie Ding, Fei Guo
2024 J jnl
A Multi-Modal ELMo Model for Image Sentiment Recognition of Consumer Data.
IEEE Trans. Consumer Electron.
Lu Rong, Yijie Ding, Mengyao Wang, Abdulmotaleb El Saddik, M. Shamim Hossain
2024 J jnl
A generalizable framework for unlocking missing reactions in genome-scale metabolic networks using deep learning.
CoRR
Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Ruihan Dong, Yijie Ding, Qianqian Yuan, Jijun Tang, Fei Guo
2024 — conf
AAHLDMA: Predicting Drug-Microbe Associations Based on Bridge Graph Learning.
ICIC (LNBI 2)
Yaojia Chen, Mengting Niu, Yi Liu, Jiacheng Wang, Yijie Ding, Quan Zou
2024 J jnl
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug-disease associations prediction.
Knowl. Based Syst.
Junkai Liu, Shixuan Guan, Quan Zou, Hongjie Wu, Prayag Tiwari, Yijie Ding
2024 J jnl
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.
Neural Networks
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, Shujie Qi, Zhiming Cui, Prayag Tiwari, Yijie Ding
2024 J jnl
Drug repositioning by multi-aspect heterogeneous graph contrastive learning and positive-fusion negative sampling strategy.
Inf. Fusion
Junkai Liu, Fuyuan Hu, Quan Zou, Prayag Tiwari, Hongjie Wu, Yijie Ding
2024 J jnl
Drug-Drug Interaction Relation Extraction Based on Deep Learning: A Review.
ACM Comput. Surv.
Mingliang Dou, Jijun Tang, Prayag Tiwari, Yijie Ding, Fei Guo
2024 J jnl
Fuzzy Neural Tangent Kernel Model for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst.
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou, Weiping Ding
2024 J jnl
Fuzzy kernel evidence Random Forest for identifying pseudouridine sites.
Briefings Bioinform.
Mingshuai Chen, Mingai Sun, Xi Su, Prayag Tiwari, Yijie Ding
2024 J jnl
Identification of Drug-Side-Effect Association via Multiview Semisupervised Sparse Model.
IEEE Trans. Artif. Intell.
Yijie Ding, Fei Guo, Prayag Tiwari, Quan Zou
2024 J jnl
Identification of human microRNA-disease association via low-rank approximation-based link propagation and multiple kernel learning.
Frontiers Comput. Sci.
Yizheng Wang, Xin Zhang, Ying Ju, Qing Liu, Quan Zou, Yazhou Zhang, Yijie Ding, Ying Zhang
2024 J jnl
Inductive Generative Recommendation via Retrieval-based Speculation.
CoRR
Yijie Ding, Yupeng Hou, Jiacheng Li, Julian J. McAuley
2024 J jnl
MTMol-GPT: De novo multi-target molecular generation with transformer-based generative adversarial imitation learning.
PLoS Comput. Biol.
Chengwei Ai, Hongpeng Yang, Xiaoyi Liu, Ruihan Dong, Yijie Ding, Fei Guo
2024 J jnl
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction.
CoRR
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
2024 J jnl
Multiple Kronecker RLS fusion-based link propagation for drug-side effect prediction.
Trans. Mach. Learn. Res.
Yuqing Qian, Ziyu Zheng, Prayag Tiwari, Yijie Ding, Quan Zou
2024 J jnl
MvG-NRLMF: Multi-view graph neighborhood regularized logistic matrix factorization for identifying drug-target interaction.
Future Gener. Comput. Syst.
Yu Zhang, Qian Liao, Prayag Tiwari, Ying Chu, Yu Wang, Yi Ding, Xianyi Zhao, Jie Wan, Yijie Ding, Ke Han
2024 J jnl
Postoperative delirium prediction after cardiac surgery using machine learning models.
Comput. Biol. Medicine
Tan Yang, Hai Yang, Yan Liu, Xiao Liu, Yijie Ding, Run Li, AnQiong Mao, Yue Huang, Xiao-Liang Li, Ying Zhang, Feng-Xu Yu
2024 J jnl
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Mingshuai Chen, Quan Zou, Ren Qi, Yijie Ding
2024 J jnl
SBSM-Pro: support bio-sequence machine for proteins.
Sci. China Inf. Sci.
Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou
2024 J jnl
Sequence homology score-based deep fuzzy network for identifying therapeutic peptides.
Neural Networks
Xiaoyi Guo, Ziyu Zheng, Kang Hao Cheong, Quan Zou, Prayag Tiwari, Yijie Ding
2024 J jnl
Structured Sparse Regularization based Random Vector Functional Link Networks for DNA N4-methylcytosine sites prediction.
Expert Syst. Appl.
Hao Xie, Yijie Ding, Yuqing Qian, Prayag Tiwari, Fei Guo
2024 J jnl
Therapeutic peptides identification via kernel risk sensitive loss-based k-nearest neighbor model and multi-Laplacian regularization.
Briefings Bioinform.
Wenyu Zhang, Yijie Ding, Leyi Wei, Xiaoyi Guo, Fengming Ni
2024 J jnl
Weighted Fuzzy System for Identifying DNA N4-Methylcytosine Sites With Kernel Entropy Component Analysis.
IEEE Trans. Artif. Intell.
Leyao Wang, Prayag Tiwari, Yijie Ding, Fei Guo
2024 J jnl
scRNMF: An imputation method for single-cell RNA-seq data by robust and non-negative matrix factorization.
PLoS Comput. Biol.
Yuqing Qian, Quan Zou, Mengyuan Zhao, Yi Liu, Fei Guo, Yijie Ding
2023 J jnl
A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites.
Inf. Sci.
Leyao Wang, Yijie Ding, Prayag Tiwari, Junhai Xu, Wenhuan Lu, Khan Muhammad, Victor Hugo C. de Albuquerque, Fei Guo
2023 J jnl
A review of methods for predicting DNA N6-methyladenine sites.
Briefings Bioinform.
Ke Han, Jianchun Wang, Yu Wang, Lei Zhang, Mengyao Yu, Fang Xie, Dequan Zheng, Yaoqun Xu, Yijie Ding, Jie Wan
2023 J jnl
DNA protein binding recognition based on lifelong learning.
Comput. Biol. Medicine
Yongsan Liu, Shixuan Guan, Tengsheng Jiang, Qiming Fu, Jieming Ma, Zhiming Cui, Yijie Ding, Hongjie Wu
2023 J jnl
Identification of DNA N4-methylcytosine Sites via Multiview Kernel Sparse Representation Model.
IEEE Trans. Artif. Intell.
Chengwei Ai, Prayag Tiwari, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
2023 J jnl
Identification of DNA-binding proteins by Kernel Sparse Representation via L2,1-matrix norm.
Comput. Biol. Medicine
Yutong Ming, Hongzhi Liu, Yizhi Cui, Shaoyong Guo, Yijie Ding, Ruijun Liu
2023 J jnl
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.
Yijie Ding, Wenying He, Jijun Tang, Quan Zou, Fei Guo
2023 J jnl
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
2023 J jnl
MLapRVFL: Protein sequence prediction based on Multi-Laplacian Regularized Random Vector Functional Link.
Comput. Biol. Medicine
Xingyue Gu, Yijie Ding, Pengfeng Xiao
2023 J jnl
MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shixuan Guan, Yuqing Qian, Tengsheng Jiang, Min Jiang, Yijie Ding, Hongjie Wu
2023 J jnl
MVML-MPI: Multi-View Multi-Label Learning for Metabolic Pathway Inference.
Briefings Bioinform.
Xiaoyi Liu, Hongpeng Yang, Chengwei Ai, Yijie Ding, Fei Guo, Jijun Tang
2023 J jnl
Multi-View Kernel Sparse Representation for Identification of Membrane Protein Types.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
2023 J jnl
Multi-correntropy fusion based fuzzy system for predicting DNA N4-methylcytosine sites.
Inf. Fusion
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
2023 J jnl
Prediction of drug-target interactions via neural tangent kernel extraction feature matrix factorization model.
Comput. Biol. Medicine
Yu Wang, Yu Zhang, Jianchun Wang, Fang Xie, Dequan Zheng, Xiang Zou, Mian Guo, Yijie Ding, Jie Wan, Ke Han
2023 J jnl
Protein-DNA Binding Residues Prediction Using a Deep Learning Model With Hierarchical Feature Extraction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shixuan Guan, Quan Zou, Hongjie Wu, Yijie Ding
2023 J jnl
SBSM-Pro: Support Bio-sequence Machine for Proteins.
CoRR
Yizheng Wang, Yixiao Zhai, Yijie Ding, Quan Zou
2023 J jnl
Subspace projection-based weighted echo state networks for predicting therapeutic peptides.
Knowl. Based Syst.
Xiaoyi Guo, Prayag Tiwari, Quan Zou, Yijie Ding
2022 — conf
A Hybrid Model for Depression Detection With Transformer and Bi-directional Long Short-Term Memory.
BIBM
Yazhou Zhang, Yu He, Lu Rong, Yijie Ding
2022 J jnl
A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases.
Neurocomputing
Chengwei Ai, Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
2022 J jnl
C-Loss Based Higher Order Fuzzy Inference Systems for Identifying DNA N4-Methylcytosine Sites.
IEEE Trans. Fuzzy Syst.
Yijie Ding, Prayag Tiwari, Quan Zou, Fei Guo, Hari Mohan Pandey
2022 J jnl
G Protein-Coupled Receptor Interaction Prediction Based on Deep Transfer Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Tengsheng Jiang, Yuhui Chen, Shixuan Guan, Zhongtian Hu, Weizhong Lu, Qiming Fu, Yijie Ding, Haiou Li, Hongjie Wu
2022 J jnl
HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins.
Comput. Biol. Medicine
Shulin Zhao, Yijie Ding, Xiaobin Liu, Xi Su
2022 J jnl
Identification of DNA N4-methylcytosine sites via fuzzy model on self representation.
Appl. Soft Comput.
Leyao Wang, Yijie Ding, Junhai Xu, Wenhuan Lu, Jijun Tang, Fei Guo
2022 J jnl
Identification of drug-side effect association via restricted Boltzmann machines with penalized term.
Briefings Bioinform.
Yuqing Qian, Yijie Ding, Quan Zou, Fei Guo
2022 J jnl
Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization.
Briefings Bioinform.
Yijie Ding, Jijun Tang, Fei Guo, Quan Zou
2022 J jnl
Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model.
Appl. Intell.
Yijie Ding, Chao Yang, Jijun Tang, Fei Guo
2022 J jnl
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.
Haohao Zhou, Hao Wang, Jijun Tang, Yijie Ding, Fei Guo
2022 J jnl
Impact of quarantine on fractional order dynamical model of Covid-19.
Comput. Biol. Medicine
Ram Singh, Prayag Tiwari, Shahab S. Band, Attiq U. Rehman, Shubham Mahajan, Yijie Ding, Xiaobin Liu, Amit Kant Pandit
2022 J jnl
Inferring human microbe-drug associations via multiple kernel fusion on graph neural network.
Knowl. Based Syst.
Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
2022 — conf
Kernel Risk Sensitive Loss-based Echo State Networks for Predicting Therapeutic Peptides with Sparse Learning.
BIBM
Xiaoyi Guo, Yuqing Qian, Prayag Tiwari, Quan Zou, Yijie Ding
2022 J jnl
MLapSVM-LBS: Predicting DNA-binding proteins via a multiple Laplacian regularized support vector machine with local behavior similarity.
Knowl. Based Syst.
Mengwei Sun, Prayag Tiwari, Yuqing Qian, Yijie Ding, Quan Zou
2022 — conf
Prompt Learning for Multi-modal COVID-19 Diagnosis.
BIBM
Yang Yu, Lu Rong, Mengyao Wang, Min Huang, Yazhou Zhang, Yijie Ding
2022 J jnl
RGCNCDA: Relational graph convolutional network improves circRNA-disease association prediction by incorporating microRNAs.
Comput. Biol. Medicine
Yaojia Chen, Yanpeng Wang, Yijie Ding, Xi Su, Chunyu Wang
2022 J jnl
Random Fourier features-based sparse representation classifier for identifying DNA-binding proteins.
Comput. Biol. Medicine
Xiaoyi Guo, Prayag Tiwari, Ying Zhang, Shuguang Han, Yansu Wang, Yijie Ding
2022 J jnl
Shared subspace-based radial basis function neural network for identifying ncRNAs subcellular localization.
Neural Networks
Yijie Ding, Prayag Tiwari, Fei Guo, Quan Zou
2022 J jnl
Sparse regularized joint projection model for identifying associations of non-coding RNAs and human diseases.
Knowl. Based Syst.
Ping Li, Prayag Tiwari, Junhai Xu, Yuqing Qian, Chengwei Ai, Yijie Ding, Fei Guo
2022 J jnl
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
Yue Huang, YingBo Ren, Hai Yang, Yijie Ding, Yan Liu, Yunchun Yang, AnQiong Mao, Tan Yang, Yingzi Wang, Feng Xiao, QiZhou He, Ying Zhang
2021 — conf
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.
ICIC (3)
Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu
2021 J jnl
A sequence-based multiple kernel model for identifying DNA-binding proteins.
BMC Bioinform.
Yuqing Qian, Limin Jiang, Yijie Ding, Jijun Tang, Fei Guo
2021 J jnl
CEPZ: A Novel Predictor for Identification of DNase I Hypersensitive Sites.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yan Zheng, Hao Wang, Yijie Ding, Fei Guo
2021 J jnl
CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yubo Wang, Yijie Ding, Jijun Tang, Yu Dai, Fei Guo
2021 J jnl
Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares.
Appl. Soft Comput.
Hongpeng Yang, Yijie Ding, Jijun Tang, Fei Guo
2021 J jnl
Empirical Potential Energy Function Toward ab Initio Folding G Protein-Coupled Receptors.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hongjie Wu, Huajing Ling, Lei Gao, Qiming Fu, Weizhong Lu, Yijie Ding, Min Jiang, Haiou Li
2021 J jnl
Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment.
Briefings Bioinform.
Hao Wang, Jijun Tang, Yijie Ding, Fei Guo
2021 J jnl
Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information.
Neural Comput. Appl.
Chao Yang, Yijie Ding, Qiaozhen Meng, Jijun Tang, Fei Guo
2021 J jnl
Identification of drug-target interactions via multi-view graph regularized link propagation model.
Neurocomputing
Yijie Ding, Jijun Tang, Fei Guo
2021 — conf
Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model.
BIBM
Mengwei Sun, Yuqing Qian, Yijie Ding, Jijun Tang, Quan Zou
2021 — conf
Membrane Protein Identification via Multiple Kernel Fuzzy SVM.
ICIC (3)
Weizhong Lu, Jiawei Shen, Yuqing Qian, Hongjie Wu, Yijie Ding, Xiaoyi Chen
2021 J jnl
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yijie Ding, Jijun Tang, Fei Guo
2021 — conf
Research on RNA Secondary Structure Prediction Based on MLP.
ICIC (3)
Weizhong Lu, Xiaoyi Chen, Yu Zhang, Hongjie Wu, Jiawei Shen, Nan Zhou, Yijie Ding
2021 J jnl
Research on RNA secondary structure predicting via bidirectional recurrent neural network.
BMC Bioinform.
Weizhong Lu, Yan Cao, Hongjie Wu, Yijie Ding, Zhengwei Song, Yu Zhang, Qiming Fu, Haiou Li
2021 J jnl
iEnhancer-KL: A Novel Two-Layer Predictor for Identifying Enhancers by Position Specific of Nucleotide Composition.
IEEE ACM Trans. Comput. Biol. Bioinform.
Yinuo Lyu, Zhen Zhang, Jiawei Li, Wenying He, Yijie Ding, Fei Guo
2020 — conf
An two-layer predictive model of ensemble classifier chain for detecting antimicrobial peptides.
BIBM
Jinhao Zhang, Shuhao Li, Yijie Ding, Jijun Tang, Fei Guo
2020 J jnl
Critical evaluation of web-based prediction tools for human protein subcellular localization.
Briefings Bioinform.
Yinan Shen, Yijie Ding, Jijun Tang, Quan Zou, Fei Guo
2020 J jnl
Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation.
Appl. Soft Comput.
Yijie Ding, Jijun Tang, Fei Guo
2020 J jnl
Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion.
Knowl. Based Syst.
Yijie Ding, Jijun Tang, Fei Guo
2020 J jnl
Identification of drug-target interactions via fuzzy bipartite local model.
Neural Comput. Appl.
Yijie Ding, Jijun Tang, Fei Guo
2020 J jnl
Identification of human microRNA-disease association via hypergraph embedded bipartite local model.
Comput. Biol. Chem.
Yijie Ding, Limin Jiang, Jijun Tang, Fei Guo
2020 J jnl
Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion.
Neurocomputing
Hao Wang, Yijie Ding, Jijun Tang, Fei Guo
2019 — conf
A Prediction Method of DNA-Binding Proteins Based on Evolutionary Information.
ICIC (2)
Weizhong Lu, Zhengwei Song, Yijie Ding, Hongjie Wu, Hongmei Huang
2019 — conf
Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information.
ICIC (2)
Yijie Ding, Jijun Tang, Fei Guo
2019 J jnl
Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning.
IEEE J. Biomed. Health Informatics
Yijie Ding, Jijun Tang, Fei Guo
2019 J jnl
Identification of drug-side effect association via multiple information integration with centered kernel alignment.
Neurocomputing
Yijie Ding, Jijun Tang, Fei Guo
2019 J jnl
LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information.
IEEE Access
Cong Shen, Yijie Ding, Jijun Tang, Limin Jiang, Fei Guo
2019 J jnl
Ranking near-native candidate protein structures via random forest classification.
BMC Bioinform.
Hongjie Wu, Hongmei Huang, Weizhong Lu, Qiming Fu, Yijie Ding, Jing Qiu, Haiou Li
2019 — conf
Research on RNA Secondary Structure Prediction Based on Decision Tree.
ICIC (2)
Weizhong Lu, Yan Cao, Hongjie Wu, Hongmei Huang, Yijie Ding
2018 J jnl
Prediction of human protein subcellular localization using deep learning.
J. Parallel Distributed Comput.
Leyi Wei, Yijie Ding, Ran Su, Jijun Tang, Quan Zou
2017 J jnl
Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier.
J. Chem. Inf. Model.
Yijie Ding, Jijun Tang, Fei Guo
2017 J jnl
Identification of drug-target interactions via multiple information integration.
Inf. Sci.
Yijie Ding, Jijun Tang, Fei Guo
2016 J jnl
Predicting protein-protein interactions via multivariate mutual information of protein sequences.
BMC Bioinform.
Yijie Ding, Jijun Tang, Fei Guo
2016 J jnl
Protein-protein interface prediction based on hexagon structure similarity.
Comput. Biol. Chem.
Fei Guo, Yijie Ding, Shuai Cheng Li, Chao Shen, Lusheng Wang
2015 J jnl
Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface.
J. Chem. Inf. Model.
Fei Guo, Yijie Ding, Zhao Li, Jijun Tang