Jijun Tang

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 106

Top Venues

BIBM

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

BMC Bioinform.

Publications

Haonan Hu, Shuge Lei, Desheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong, Qiongyu Ye
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. IPMV (2024)
Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo
Aggregate-aware model with bidirectional edge generation for medical image segmentation. Appl. Soft Comput. 163 (2024)
Shuge Lei, Haonan Hu, Dasheng Sun, Huabin Zhang, Kehong Yuan, Jian Dai, Jijun Tang, Yan Tong
Dual-Channel Reliable Breast Ultrasound Image Classification Based on Explainable Attribution and Uncertainty Quantification. CoRR (2024)
Xianghua Kong, Cong Shen, Jijun Tang
CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU. ICIC (LNBI 2) (2024)
Xuejian Li, Shiqiang Ma, Junhai Xu, Jijun Tang, Shengfeng He, Fei Guo
TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation. Expert Syst. Appl. 237 (Part C) (2024)
Ke Ma, Jiawei Li, Mengyuan Zhao, Ibrahim Zamit, Bin Lin, Fei Guo, Jijun Tang
PPRTGI: A Personalized PageRank Graph Neural Network for TF-Target Gene Interaction Detection. IEEE ACM Trans. Comput. Biol. Bioinform. 21 (3) (2024)
Cong Shen, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 28 (4) (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)
Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. ICIC (3) (2023)
Qiaozhen Meng, Fei Guo, Ercheng Wang, Jijun Tang
ComDock: A novel approach for protein-protein docking with an efficient fusing strategy. Comput. Biol. Medicine 167 (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)
Jiawei Li, Shizhan Chen, Shiqiang Ma, Fei Guo, Jijun Tang
MixUNet: Mix the 2D and 3D Models for Robust Medical Image Segmentation. BIBM (2023)
Nan Gao, Yongjian Wang, Peng Chen, Jijun Tang
Boosting Short Text Classification by Solving the OOV Problem. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Cong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao
DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions Segmentation. ICIC (3) (2023)
Jiaqi Ding, Junhai Xu, Jianguo Wei, Jijun Tang, Fei Guo
A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization. Expert Syst. Appl. 212 (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)
Nan Gao, Peng Chen, Yukai Li, Jijun Tang, Ronghua Liang, Tianshuang Liu
BTCN: Bridging the Gap Between Pre-trained and Downstream Models for Endoscopic Caries Detection. BIBM (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)
Limin Jiang, Hui Yu, Jijun Tang, Yan Guo
CoMutDB: the landscape of somatic mutation co-occurrence in cancers. Bioinform. 39 (1) (2023)
Qiaozhen Meng, Fei Guo, Jijun Tang
Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model. Briefings Bioinform. 24 (4) (2023)
Mingliang Dou, Jiaqi Ding, Genlang Chen, Junwen Duan, Fei Guo, Jijun Tang
IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction. Briefings Bioinform. 24 (3) (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)
Xuejian Li, Jiaqi Ding, Jijun Tang, Fei Guo
Res2Unet: A multi-scale channel attention network for retinal vessel segmentation. Neural Comput. Appl. 34 (14) (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)
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)
Xuejian Li, Shiqiang Ma, Jin Liu, Jijun Tang, Fei Guo
Inferring gene regulatory network via fusing gene expression image and RNA-seq data. Bioinform. 38 (6) (2022)
Yingxin Kan, Limin Jiang, Yan Guo, Jijun Tang, Fei Guo
Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes. Briefings Bioinform. 23 (1) (2022)
Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo
EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation. CoRR (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)
Xuejian Li, Shiqiang Ma, Jijun Tang, Fei Guo
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation. CoRR (2022)
Nanxing Zhang, Shiqiang Ma, Xuejian Li, Jiahui Zhang, Jijun Tang, Fei Guo
Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation. BIBM (2022)
Jiawei Li, Fan Yang, Fang Wang, Yu Rong, Peilin Zhao, Shizhan Chen, Jianhua Yao, Jijun Tang, Fei Guo
Integrating Prior Knowledge with Graph Encoder for Gene Regulatory Inference from Single-cell RNA-Seq Data. BIBM (2022)
Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo
A hybrid deep learning framework for gene regulatory network inference from single-cell transcriptomic data. Briefings Bioinform. 23 (2) (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)
Mingliang Dou, Han Han, Genlang Chen, Fei Guo, Jijun Tang
BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text. BIBM (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)
Yuqian Pu, Jiawei Li, Jijun Tang, Fei Guo
DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Cong Shen, Yu Chen, Feng Xiao, Tian Yang, Xinyue Wang, Shengyong Chen, Jijun Tang, Zhijun Liao
BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism. Comput. Biol. Chem. 101 (2022)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-target interactions via multi-view graph regularized link propagation model. Neurocomputing 461 (2021)
Feng Xiao, Cong Shen, Yu Chen, Tian Yang, Shengyong Chen, Zhijun Liao, Jijun Tang
RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation. BIBM (2021)
Mengyuan Zhao, Wenying He, Jijun Tang, Quan Zou, Fei Guo
A comprehensive overview and critical evaluation of gene regulatory network inference technologies. Briefings Bioinform. 22 (5) (2021)
Wei Zhang, Qiaozhen Meng, Jijun Tang, Fei Guo
Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset. Briefings Bioinform. 22 (6) (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)
Mingliang Dou, Jijun Tang, Fei Guo
Document-level DDI relation extraction with document-entity embedding. BIBM (2021)
Wenying He, Jijun Tang, Quan Zou, Fei Guo
MMFGRN: a multi-source multi-model fusion method for gene regulatory network reconstruction. Briefings Bioinform. 22 (6) (2021)
Qiaozhen Meng, Jijun Tang, Fei Guo
Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning. BIBM (2021)
Feifei Cui, Quan Zou, Qin Ma, Leyi Wei, Jijun Tang, Dariusz Mrozek
IEEE Access Special Section Editorial: Feature Representation and Learning Methods With Applications in Large-Scale Biological Sequence Analysis. IEEE Access 9 (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)
Zhijun Liao, Gaofeng Pan, Chao Sun, Jijun Tang
Predicting subcellular location of protein with evolution information and sequence-based deep learning. BMC Bioinform. (10) (2021)
Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo
MIASNet: A medical image segmentation method predicting future based on past and current cases. BIBM (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)
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)
Zehua Zhang, Jiaqi Ding, Junhai Xu, Jijun Tang, Fei Guo
Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis. IEEE J. Biomed. Health Informatics 25 (1) (2021)
Limin Jiang, Hui Yu, Jiawei Li, Jijun Tang, Yan Guo, Fei Guo
Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution. Briefings Bioinform. 22 (6) (2021)
Shiqiang Ma, Xuejian Li, Jijun Tang, Fei Guo
A Zero-Shot Method for 3D Medical Image Segmentation. ICME (2021)
Jinhao Zhang, Zehua Zhang, Lianrong Pu, Jijun Tang, Fei Guo
AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (5) (2021)
Shiqiang Ma, Xuejian Li, Zehua Zhang, Jijun Tang, Fei Guo
GEU-Net: Rethinking the information transmission in the skip connection of U-Net architecture. BIBM (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)
Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo
DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences. Briefings Bioinform. 22 (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)
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)
Zhaojuan Zhang, Wanliang Wang, Ruofan Xia, Gaofeng Pan, Jiandong Wang, Jijun Tang
Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm. BMC Bioinform. 21 (1) (2020)
Shiqiang Ma, Zehua Zhang, Jiaqi Ding, Xuejian Li, Jijun Tang, Fei Guo
A Deep Supervision CNN Network for Brain Tumor Segmentation. BrainLes@MICCAI (2) (2020)
Jie Song, Jiawei Li, Shiqiang Ma, Jijun Tang, Fei Guo
Melanoma Classification in Dermoscopy Images via Ensemble Learning on Deep Neural Network. BIBM (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)
Jiawei Li, Yuqian Pu, Jijun Tang, Quan Zou, Fei Guo
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Zongyu Wang, Wenying He, Jijun Tang, Fei Guo
Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families. J. Chem. Inf. Model. 60 (3) (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)
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)
Fei Guo, Quan Zou, Guang Yang, Dan Wang, Jijun Tang, Junhai Xu
Identifying protein-protein interface via a novel multi-scale local sequence and structural representation. BMC Bioinform. (15) (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)
Ruofan Xia, Yu Lin, Jun Zhou, Tieming Geng, Bing Feng, Jijun Tang
Phylogenetic Reconstruction for Copy-Number Evolution Problems. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (2) (2019)
Bing Feng, Ying-Yong Zhao, Jiexi Wang, Hui Yu, Shiva Potu, Jiandong Wang, Jijun Tang, Yan Guo
The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features. IWBBIO (1) (2019)
Yan Zhang, William Hoskins, Ruofan Xia, Xiya Xia, Jim W. Zheng, Jijun Tang
A flexible approach to reconstruct the genomic spatial structure by the genetic algorithm. Int. J. Comput. Biol. Drug Des. 11 (1/2) (2018)
S. Mo Jang, Tieming Geng, Jo-Yun Queenie Li, Ruofan Xia, Chin-Tser Huang, Hwalbin Kim, Jijun Tang
A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis. Comput. Hum. Behav. 84 (2018)
Ruofan Xia, Yu Lin, Jun Zhou, Bing Feng, Jijun Tang
A Median Solver and Phylogenetic Inference Based on Double-Cut-and-Join Sorting. J. Comput. Biol. 25 (3) (2018)
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)
Zehua Zhang, Jian Song, Jijun Tang, Xinying Xu, Fei Guo
Detecting complexes from edge-weighted PPI networks via genes expression analysis. BMC Syst. Biol. 12 (4) (2018)
Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen
Asia Pacific Bioinformatics Conference. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (2) (2018)
Yijie Ding, Jijun Tang, Fei Guo
Identification of drug-target interactions via multiple information integration. Inf. Sci. 418 (2017)
Ruofan Xia, Jun Zhou, Lingxi Zhou, Bing Feng, Jijun Tang
A Median Solver and Phylogenetic Inference Based on DCJ Sorting. ISBRA (2017)
Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader
Exemplar or Matching: Modeling DCJ Problems with Unequal Content Genome Data. CoRR (2017)
Leyi Wei, Jijun Tang, Quan Zou
Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information. Inf. Sci. 384 (2017)
Bing Feng, David C. Samuels, William Hoskins, Yan Guo, Yan Zhang, Jijun Tang, Zibo Meng
Down syndrome prediction/screening model based on deep learning and illumina genotyping array. BIBM (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)
Yan Zhang, Bo Zhang, W. Jim Zheng, Jijun Tang, Feng Yue
HiCComp: Multiple-level comparative analysis of Hi-C data by triplet network. BIBM (2017)
Zehua Zhang, Kecheng Guo, Gaofeng Pan, Jijun Tang, Fei Guo
Improvement of phylogenetic method to analyze compositional heterogeneity. BMC Syst. Biol. 11 (S-4) (2017)
Quan Zou, Shixiang Wan, Ying Ju, Jijun Tang, Xiangxiang Zeng
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy. CoRR (2017)
Zhao Li, Jijun Tang, Fei Guo
Learning from real imbalanced data of 14-3-3 proteins binding specificity. Neurocomputing 217 (2016)
Jijun Tang, Lu Tian, Yi-Ping Phoebe Chen
Guest Editorial for the 14th Asia Pacific Bioinformatics Conference (APBC2016). Comput. Biol. Chem. 63 (2016)
Yijie Ding, Jijun Tang, Fei Guo
Predicting protein-protein interactions via multivariate mutual information of protein sequences. BMC Bioinform. 17 (2016)
Zhaoming Yin, Jijun Tang, Stephen W. Schaeffer, David A. Bader
Exemplar or matching: modeling DCJ problems with unequal content genome data. J. Comb. Optim. 32 (4) (2016)
Jun Zhou, Yu Lin, Vaibhav Rajan, William Hoskins, Bing Feng, Jijun Tang
Analysis of gene copy number changes in tumor phylogenetics. Algorithms Mol. Biol. 11 (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jijun Tang