Jijun Tang

Haiwei Luo, A. Hughes, R. Friedman, 2011, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

Genome reduction by deletion of paralogs in the marine cyanobacterium Prochlorococcus.

Haiwei Luo, A. Hughes, R. Friedman, 2011, Molecular biology and evolution.

Gene Order Phylogeny and the Evolution of Methanogens

Haiwei Luo, R. Friedman, Jijun Tang, 2009, PloS one.

Predicting S-sulfenylation Sites Using Physicochemical Properties Differences

Jijun Tang, Guo-Cheng Lei, Pu-Feng Du, 2017 .

SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

Q. Zou, Leyi Wei, Jijun Tang, 2017, BMC Genomics.

Adaptive evolution of chloroplast genome structure inferred using a parametric bootstrap approach

J. Leebens-Mack, C. dePamphilis, Li-San Wang, 2006, BMC Evolutionary Biology.

Rec-DCM-Eigen: Reconstructing a Less Parsimonious but More Accurate Tree in Shorter Time

David A. Bader, Jijun Tang, S. Schaeffer, 2011, PloS one.

An Experimental Evaluation of Corrected Inversion and DCJ Distance Metric through Simulations

Jijun Tang, Jian Shi, 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

Gene rearrangement analysis and ancestral order inference from chloroplast genomes with inverted repeat

Jijun Tang, Bernard M. E. Moret, Claude W dePamphilis, 2008, BMC Genomics.

Quartet methods for phylogeny reconstruction from gene orders

Jijun Tang, Bernard M. E. Moret, T. Liu, 2005 .

DISTANCE CORRECTION FOR LARGE PAIRWISE GENOMIC DISTANCES

Bernard M. E. Moret, Jijun Tang, 2004 .

Inferring Genome Rearrangement Phylogeny based on Maximum Likelihood of Gene Adjacencies

Haiwei Luo, Jijun Tang, Yiwei Zhang, 2010 .

Gene Order Phylogeny of the Genus Prochlorococcus

William Arndt, Jijun Tang, Haiwei Luo, 2008, PloS one.

Mathematics of Evolution and Phylogeny Library of Congress Cataloging in Publication Data (data Available)

Bernard M. E. Moret, Elchanan Mossel, D. Sankoff, 2004 .

Identification of drug-target interactions via multiple kernel-based triple collaborative matrix factorization

Q. Zou, Jijun Tang, Yijie Ding, 2022, Briefings Bioinform..

Improving Inversion Median Computation Using Commuting Reversals and Cycle Information

William Arndt, Jijun Tang, Jijun Tang, 2007, RECOMB-CG.

Phylogenetic reconstruction from transpositions

Jijun Tang, Jijun Tang, Feng Yue, 2008, BMC Genomics.

Detecting the Inferior Thoracic Aperture using Statistical Shape Models

H. Fujita, Xiangrong Zhou, B. Munsell, 2007 .

Reconstruction under Weighted Maximum Matching

Jijun Tang, Lingxi Zhou, Zhao Jie-yi, 2015 .

Prediction of Major Histocompatibility Complex Binding with Bilateral and Variable Long Short Term Memory Networks

Jijun Tang, Limin Jiang, Fei Guo, 2022, Biology.

A multi-layer multi-kernel neural network for determining associations between non-coding RNAs and diseases

Jijun Tang, Yijie Ding, Fei Guo, 2022, Neurocomputing.

Active Shape Models Integrating Robust Edge Identification and Statistical Shape Models

M. Styner, H. Hazlett, B. Munsell, 2007 .

Inferring Ancestral Genomes with Duplications

Bernard M. E. Moret, Jijun Tang, Liying Cui, 2005 .

SMDB: pivotal somatic sequence alterations reprogramming regulatory cascades

Jijun Tang, S. Ness, Hui Yu, 2020, NAR cancer.

Global Autozygosity Is Associated with Cancer Risk, Mutational Signature and Prognosis

Jijun Tang, S. Leng, D. Samuels, 2020, Cancers.

TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation

Xia Li, Jijun Tang, Fei Guo, 2022, arXiv.org.

Identification of DNA N4-methylcytosine sites via fuzzy model on self representation

Jijun Tang, Yijie Ding, Fei Guo, 2022, Appl. Soft Comput..

A Zero-Shot Method for 3D Medical Image Segmentation

Jijun Tang, Xuejian Li, Fei Guo, 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME).

A flexible approach to reconstruct the genomic spatial structure by the genetic algorithm

Yan Zhang, Jijun Tang, Ruofan Xia, 2018, Int. J. Comput. Biol. Drug Des..

Bi-stream CNN Down Syndrome screening model based on genotyping array

Yan Zhang, Chao Liu, Yan Guo, 2018, BMC Medical Genomics.

Synthetic genome rearrangement reveals dynamics of chromosome evolution shaped by hierarchical chromatin organization

Jijun Tang, Limin Jiang, Yu Zhao, 2022, bioRxiv.

Dynamics of synthetic yeast chromosome evolution shaped by hierarchical chromatin organization

Jijun Tang, Limin Jiang, Yingjin Yuan, 2021, National science review.

Robust data storage in DNA by de Bruijn graph-based de novo strand assembly

Jijun Tang, Bing-Zhi Li, Chunye Gong, 2022, Nature Communications.

Multi-AMP: detecting the antimicrobial peptides and their activities using the multi-task learning

Jijun Tang, Fei Guo, Meng Qiaozhen, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Sustainable Cotton Production through Increased Competitiveness: Analysis of Comparative Advantage and Influencing Factors of Cotton Production in Xinjiang, China

Jijun Tang, A. Abbas, Mark Yu, 2022, Agronomy.

MIASNet: A medical image segmentation method predicting future based on past and current cases

Jijun Tang, Xuejian Li, Fei Guo, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A multi-scale multi-model deep neural network via ensemble strategy on high-throughput microscopy image for protein subcellular localization

Jijun Tang, Fei Guo, Junhai Xu, 2022, Expert Syst. Appl..

Reconstructing Yeasts Phylogenies and Ancestors from Whole Genome Data

R. Friedman, Jijun Tang, Yan Guo, 2017, Scientific Reports.

Utilizing Deep Learning and Oversampling Methods to Identify Children’s Emotional and Behavioral Risk

Jijun Tang, C. Distefano, Jin Liu, 2020 .

EAA-Net: Rethinking the Autoencoder Architecture with Intra-class Features for Medical Image Segmentation

Xia Li, Jijun Tang, Fei Guo, 2022, ArXiv.

Trends and features of autism spectrum disorder research using artificial intelligence techniques: a bibliometric approach

Jijun Tang, Wei Yanjie, Limin Jiang, 2022, Current Psychology.

Phylogenetic Reconstruction from Gene-Rearrangement Data with Unequal Gene Content

Jijun Tang, Bernard M. E. Moret, Jijun Tang, 2003, WADS.

Scaling up accurate phylogenetic reconstruction from gene-order data

Jijun Tang, Bernard M. E. Moret, Jijun Tang, 2003, ISMB.

Inversion Medians Outperform Breakpoint Medians in Phylogeny Reconstruction from Gene-Order Data

Tao Liu, Jijun Tang, Bernard M. E. Moret, 2002, WABI.

A space-efficient algorithm for three sequence alignment and ancestor inference

Jijun Tang, Feng Yue, Jijun Tang, 2009, Int. J. Data Min. Bioinform..

Simultaneous phylogeny reconstruction and multiple sequence alignment

Jian Shi, Jijun Tang, Feng Yue, 2009, BMC Bioinformatics.

A New Approach for Tree Alignment Based on Local Re-Optimization

Jijun Tang, Feng Yue, Jijun Tang, 2008, 2008 International Conference on BioMedical Engineering and Informatics.

A Divide-and-Conquer Implementation of Three Sequence Alignment and Ancestor Inference

Jijun Tang, Feng Yue, Jijun Tang, 2007, 2007 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2007).

Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data

Jijun Tang, Fei Ye, Andrew Lawson, 2007, WEA.

Serum Metabolites Associated with Blood Pressure in Chronic Kidney Disease Patients

Jijun Tang, Yan Guo, Ying-yong Zhao, 2022, Metabolites.

Inferring human microbe-drug associations via multiple kernel fusion on graph neural network

Jijun Tang, Yijie Ding, Fei Guo, 2021, Knowl. Based Syst..

Detecting complexes from edge-weighted PPI networks via genes expression analysis

Jian Song, Xinying Xu, Jijun Tang, 2018, BMC Syst. Biol..

Algorithms in Bioinformatics

Benjamin J. Raphael, Jijun Tang, Ben Raphael, 2012, Lecture Notes in Computer Science.

Predicting subcellular location of protein with evolution information and sequence-based deep learning

Jijun Tang, Chao Sun, Zhijun Liao, 2021, BMC Bioinformatics.

Machine and Deep Learning for Prediction of Subcellular Localization.

Jijun Tang, Chao Sun, Gaofeng Pan, 2021, Methods in molecular biology.

Improvement of phylogenetic method to analyze compositional heterogeneity

Jijun Tang, Gaofeng Pan, Fei Guo, 2017, BMC Systems Biology.

Predicting MHC class I binder: existing approaches and a novel recurrent neural network solution

Jijun Tang, Hui Yu, Yan Guo, 2021, Briefings Bioinform..

Down syndrome prediction/screening model based on deep learning and illumina genotyping array

Yan Zhang, Yan Guo, Jijun Tang, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A systematic view of computational methods for identifying driver genes based on somatic mutation data.

Jijun Tang, Yan Guo, Limin Jiang, 2021, Briefings in functional genomics.

Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional genome

W. Jim Zheng, William Arndt, Jijun Tang, 2010, 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW).

Algorithms in Bioinformatics: 12th International Workshop, WABI 2012, Ljubljana, Slovenia, September 10-12, 2012

Benjamin J. Raphael, Jijun Tang, Ben Raphael, 2012 .

Identification of Drug-Side Effect Association via Semisupervised Model and Multiple Kernel Learning

Fei Guo, Jijun Tang, Yijie Ding, 2019, IEEE Journal of Biomedical and Health Informatics.

Identification of drug-side effect association via multiple information integration with centered kernel alignment

Jijun Tang, Fei Guo, Yijie Ding, 2019, Neurocomputing.

Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm

Jiandong Wang, Wanliang Wang, Gaofeng Pan, 2020, BMC Bioinform..

Phylogenetic Reconstruction for Copy-Number Evolution Problems

Jun Zhou, Jijun Tang, Bing Feng, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

PhosPred-RF: A Novel Sequence-Based Predictor for Phosphorylation Sites Using Sequential Information Only

Jijun Tang, Quan Zou, Leyi Wei, 2017, IEEE Transactions on NanoBioscience.

Exploring effectiveness of ab-initio protein-protein docking methods on a novel antibacterial protein complex dataset

Jijun Tang, Fei Guo, Wei Zhang, 2021, Briefings Bioinform..

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

Bo Zhang, Jijun Tang, W Jim Zheng, 2018, Nature Communications.

HiCComp: Multiple-level comparative analysis of Hi-C data by triplet network

Yan Zhang, Bo Zhang, W. Jim Zheng, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

EditPredict: Prediction of RNA editable sites with convolutional neural network.

Jijun Tang, D. Samuels, S. Ness, 2021, Genomics.

Robust retrieval of data stored in DNA by de Bruijn graph-based de novo strand assembly

Jijun Tang, Chunye Gong, Libang Zhou, 2022, bioRxiv.

SBSA: an online service for somatic binding sequence annotation

Jijun Tang, S. Ness, Hui Yu, 2021, Nucleic acids research.

Human protein subcellular localization identification via fuzzy model on Kernelized Neighborhood Representation

Jijun Tang, Fei Guo, Yijie Ding, 2020, Appl. Soft Comput..

Critical evaluation of web-based prediction tools for human protein subcellular localization

Fei Guo, Jijun Tang, Quan Zou, 2019, Briefings Bioinform..

Identification of protein subcellular localization via integrating evolutionary and physicochemical information into Chou's general PseAAC.

Jijun Tang, Fei Guo, Yinan Shen, 2019, Journal of theoretical biology.

Prediction of human protein subcellular localization using deep learning

Jijun Tang, Ran Su, Yijie Ding, 2017, J. Parallel Distributed Comput..

Excess of non-conservative amino acid changes in marine bacterioplankton lineages with reduced genomes

Haiwei Luo, R. Stepanauskas, Jijun Tang, 2017, Nature Microbiology.

Identifying protein-protein interface via a novel multi-scale local sequence and structural representation

Dan Wang, Fei Guo, Jijun Tang, 2019, BMC Bioinformatics.

DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides

Jijun Tang, Fei Guo, Jiawei Li, 2020, IEEE Journal of Biomedical and Health Informatics.

MLGO: phylogeny reconstruction and ancestral inference from gene-order data

Jijun Tang, Yu Lin, Fei Hu, 2014, BMC Bioinformatics.

Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning

Jijun Tang, Yijie Ding, Fei Guo, 2021, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Reconstructing phylogenies from gene-content and gene-order data

Jijun Tang, Bernard M. E. Moret, Tandy Warnow, 2007, Mathematics of Evolution and Phylogeny.

Steps toward accurate reconstructions of phylogenies from gene-order data

Tandy J. Warnow, Jijun Tang, Bernard M. E. Moret, 2002, J. Comput. Syst. Sci..

Improving genome rearrangement phylogeny using sequence-style parsimony

Jijun Tang, Li-San Wang, Li-San Wang, 2005, Fifth IEEE Symposium on Bioinformatics and Bioengineering (BIBE'05).

Two-stage-vote ensemble framework based on integration of mutation data and gene interaction network for uncovering driver genes

Jijun Tang, Limin Jiang, Yan Guo, 2021, Briefings Bioinform..

Identification of DNA–protein Binding Sites through Multi-Scale Local Average Blocks on Sequence Information

Jian Song, Jijun Tang, Fei Guo, 2017, Molecules.

Local-DPP: An improved DNA-binding protein prediction method by exploring local evolutionary information

Jijun Tang, Quan Zou, Leyi Wei, 2017, Inf. Sci..

Predicting protein lysine phosphoglycerylation sites by hybridizing many sequence based features.

Jijun Tang, Pu-Feng Du, Jijun Tang, 2017, Molecular bioSystems.

DeepATT: a hybrid category attention neural network for identifying functional effects of DNA sequences

Jijun Tang, Fei Guo, Quan Zou, 2020, Briefings Bioinform..

MK-FSVM-SVDD: A Multiple Kernel-based Fuzzy SVM Model for Predicting DNA-binding Proteins via Support Vector Data Description

Jijun Tang, Fei Guo, Li Peng, 2020, Current Bioinformatics.

The Application of Machine Learning Algorithms to Diagnose CKD Stages and Identify Critical Metabolites Features

Yan Guo, Hui Yu, Jijun Tang, 2019, IWBBIO.

A Novel Peptide Binding Prediction Approach for HLA-DR Molecule Based on Sequence and Structural Information

Jijun Tang, Fei Guo, Yilei Zhao, 2016, BioMed research international.

Guest Editorial for the 16th Asia Pacific Bioinformatics Conference

David Sankoff, Louxin Zhang, Guoliang Li, 2018, TCBB.

Phylogenetic reconstruction from arbitrary gene-order data

Jijun Tang, Bernard M. E. Moret, Liying Cui, 2004, Proceedings. Fourth IEEE Symposium on Bioinformatics and Bioengineering.

Analysis of gene copy number changes in tumor phylogenetics

Jun Zhou, Yu Lin, Jijun Tang, 2016, Algorithms for Molecular Biology.

An Iterative Approach for Phylogenetic Analysis of Tumor Progression Using FISH Copy Number

Jun Zhou, Yu Lin, Jijun Tang, 2015, ISBRA.

BP-DDI: Drug-drug interaction prediction based on biological information and pharmacological text

Jijun Tang, Fei Guo, Genlang Chen, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Maximum Parsimony Analysis of Gene Copy Number Changes

Jun Zhou, Yu Lin, Jijun Tang, 2015, WABI.

Identification of Protein-Protein Interactions by Detecting Correlated Mutation at the Interface

Zhao Li, Jijun Tang, Fei Guo, 2015, J. Chem. Inf. Model..

Label-Guided Graph Exploration with Adjustable Ratio of Labels

Yi Zhang, Jijun Tang, Meng Zhang, 2012, Int. J. Found. Comput. Sci..

Exploiting the Transcriptome of Euphrates Poplar, Populus euphratica (Salicaceae) to Develop and Characterize New EST-SSR Markers and Construct an EST-SSR Database

R. Wu, Jijun Tang, F. Du, 2013, PloS one.

Multi-Scale Time-Series Kernel-Based Learning Method for Brain Disease Diagnosis

Jijun Tang, Fei Guo, Zehua Zhang, 2020, IEEE Journal of Biomedical and Health Informatics.

Comprehensive Analysis of Co-Mutations Identifies Cooperating Mechanisms of Tumorigenesis

Jijun Tang, S. Ness, Hui Yu, 2021, bioRxiv.

Exploring associations of non-coding RNAs in human diseases via three-matrix factorization with hypergraph-regular terms on center kernel alignment

Jijun Tang, Fei Guo, Yijie Ding, 2021, Briefings Bioinform..

Finding pathway-modulating genes from a novel Ontology Fingerprint-derived gene network

Jijun Tang, Lam C. Tsoi, Yusuf A. Hannun, 2014, Nucleic acids research.

The design and implementation of the Carolina Automated Reading Evaluation for reading deficit screening

Jijun Tang, Scott L. Decker, William H. Hoskins, 2021, Computers in Human Behavior Reports.

A Fast 3D Correspondence Method for Statistical Shape Modeling

Xiangrong Zhou, Hiroshi Fujita, Jijun Tang, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Identification of Drug-Target Interactions via Dual Laplacian Regularized Least Squares with Multiple Kernel Fusion

Jijun Tang, Fei Guo, Yijie Ding, 2020, Knowl. Based Syst..

Predicting protein-protein interactions via multivariate mutual information of protein sequences

Jijun Tang, Yijie Ding, Fei Guo, 2016, BMC Bioinformatics.

A computational approach for examining the roots and spreading patterns of fake news: Evolution tree analysis

Chin-Tser Huang, Jijun Tang, S. Mo Jang, 2018, Comput. Hum. Behav..

Identification of human microRNA-disease association via hypergraph embedded bipartite local model

Limin Jiang, Jijun Tang, Yijie Ding, 2020, Comput. Biol. Chem..

Fei Guo, Limin Jiang, Jijun Tang, 2018, Front. Genet..

Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation

Jijun Tang, Fei Guo, Yijie Ding, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

CrystalM: A Multi-View Fusion Approach for Protein Crystallization Prediction

Yu Dai, Fei Guo, Jijun Tang, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A sequence-based multiple kernel model for identifying DNA-binding proteins

Jijun Tang, Fei Guo, Limin Jiang, 2021, BMC Bioinformatics.

Identification of DNA-Binding Proteins by Multiple Kernel Support Vector Machine and Sequence Information

Xiaoyi Guo, Jijun Tang, Feng Chen, 2020 .

Identification of drug–target interactions via fuzzy bipartite local model

Fei Guo, Jijun Tang, Yijie Ding, 2019, Neural Computing and Applications.

FKRR-MVSF: A Fuzzy Kernel Ridge Regression Model for Identifying DNA-Binding Proteins by Multi-View Sequence Features via Chou’s Five-Step Rule

Li Peng, Fei Guo, Jijun Tang, 2019, International journal of molecular sciences.

Identification of DNA-Binding Proteins via Fuzzy Multiple Kernel Model and Sequence Information

Fei Guo, Jijun Tang, Yijie Ding, 2019, ICIC.

LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information

Cong Shen, Fei Guo, Limin Jiang, 2019, IEEE Access.

Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions

Fei Guo, Jijun Tang, Yijie Ding, 2019, Front. Genet..

The computational models of drug-target interaction prediction.

Jijun Tang, Fei Guo, Yijie Ding, 2019, Protein and peptide letters.

Identification of drug-target interactions via multiple information integration

Jijun Tang, Fei Guo, Yijie Ding, 2017, Inf. Sci..

Identification of Protein-Ligand Binding Sites by Sequence Information and Ensemble Classifier

Jijun Tang, Yijie Ding, Fei Guo, 2017, J. Chem. Inf. Model..

Improved detection of DNA-binding proteins via compression technology on PSSM information

Jijun Tang, Fei Guo, Yijie Ding, 2017, PloS one.

An Ameliorated Prediction of Drug–Target Interactions Based on Multi-Scale Discrete Wavelet Transform and Network Features

Xinying Xu, Jijun Tang, Yijie Ding, 2017, International journal of molecular sciences.

Predicting protein-protein interactions via multivariate mutual information of protein sequences

Jijun Tang, Fei Guo, Yijie Ding, 2016, BMC Bioinformatics.

AIEpred: An Ensemble Predictive Model of Classifier Chain to Identify Anti-Inflammatory Peptides

Jijun Tang, Fei Guo, Lianrong Pu, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Maximum Likelihood Phylogenetic Reconstruction from High-Resolution Whole-Genome Data and a Tree of 68 Eukaryotes

Yu Lin, Jijun Tang, Bernard M. E. Moret, 2012, Pacific Symposium on Biocomputing.

CoMutDB: the landscape of somatic mutation co-occurrence in cancers

Jijun Tang, Hui Yu, Yan Guo, 2022, Bioinformatics.

A Deep Supervision CNN Network for Brain Tumor Segmentation

Jijun Tang, Xuejian Li, Fei Guo, 2020, BrainLes@MICCAI.

Two-Stage Deep Neural Network via Ensemble Learning for Melanoma Classification

Jijun Tang, Fei Guo, Jiaqi Ding, 2022, Frontiers in Bioengineering and Biotechnology.

Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation

Jijun Tang, Fei Guo, Shiqiang Ma, 2021, Frontiers in Oncology.

Res2Unet: A multi-scale channel attention network for retinal vessel segmentation

Jijun Tang, Xuejian Li, Fei Guo, 2022, Neural Computing and Applications.

Multi-Omics Data Fusion via a Joint Kernel Learning Model for Cancer Subtype Discovery and Essential Gene Identification

Jijun Tang, Limin Jiang, Shuhao Li, 2021, Frontiers in Genetics.

Diagnosis of Brain Diseases via Multi-Scale Time-Series Model

Jijun Tang, Fei Guo, Quan Zou, 2019, Front. Neurosci..

Identification of membrane protein types via multivariate information fusion with Hilbert-Schmidt Independence Criterion

Hao Wang, Jijun Tang, Fei Guo, 2020, Neurocomputing.

Exemplar or matching: modeling DCJ problems with unequal content genome data

David A. Bader, Jijun Tang, Zhaoming Yin, 2015, Journal of Combinatorial Optimization.

Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus

Feng Yue, Ming Hu, Jijun Tang, 2018, Nature Communications.

Identification of drug–target interactions via fuzzy bipartite local model

Jijun Tang, Yijie Ding, Fei Guo, 2019, Neural Computing and Applications.

FKL-Spa-LapRLS: an accurate method for identifying human microRNA-disease association

Jijun Tang, Limin Jiang, Yongkang Xiao, 2018, BMC Genomics.

A Multichannel Deep Neural Network for Retina Vessel Segmentation via a Fusion Mechanism

Jijun Tang, Fei Guo, Zehua Zhang, 2021, Frontiers in Bioengineering and Biotechnology.

LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data

Jijun Tang, Limin Jiang, Fei Guo, 2019, BMC Genomics.

A Novel Computational Method for Detecting DNA Methylation Sites with DNA Sequence Information and Physicochemical Properties

Jijun Tang, Fei Guo, Limin Jiang, 2018, International journal of molecular sciences.

Identification of Highest-Affinity Binding Sites of Yeast Transcription Factor Families

Zongyu Wang, Wenying He, Jijun Tang, 2020, J. Chem. Inf. Model..

Correction to: LightCpG: a multi-view CpG sites detection on single-cell whole genome sequence data

Jijun Tang, Limin Jiang, Fei Guo, 2019, BMC Genomics.

DeepFusionDTA: Drug-Target Binding Affinity Prediction With Information Fusion and Hybrid Deep-Learning Ensemble Model

Jijun Tang, Fei Guo, Jiawei Li, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of 14-3-3 Proteins Phosphopeptide-Binding Specificity Using an Affinity-Based Computational Approach

Zhao Li, Jijun Tang, Fei Guo, 2016, PloS one.

Laplacian Regularized Sparse Representation Based Classifier for Identifying DNA N4-Methylcytosine Sites via $L_{2,1/2}$L2,1/2-Matrix Norm

Q. Zou, Jijun Tang, Yijie Ding, 2021, IEEE ACM Trans. Comput. Biol. Bioinform..

Drug-disease associations prediction via Multiple Kernel-based Dual Graph Regularized Least Squares

Jijun Tang, Yijie Ding, Fei Guo, 2021, Appl. Soft Comput..

Identification of DNA N4-methylcytosine sites via multi-view kernel sparse representation model

Jijun Tang, Yijie Ding, Fei Guo, 2022, IEEE Transactions on Artificial Intelligence.

A different approach to teaching Chinese through serious games

Matthew Arnold, Yun Zhu, Jijun Tang, 2011, FDG.

Using Supervised Machine Learning Algorithms to Screen Down Syndrome and Identify the Critical Protein Factors

Xinying Xu, Bing Feng, Jijun Tang, 2017 .

Improved structure-related prediction for insufficient homologous proteins using MSA enhancement and pre-trained language model

Jijun Tang, Fei Guo, Qiaozhen Meng, 2023, Briefings Bioinform..

Analysis of Co-Associated Transcription Factors via Ordered Adjacency Differences on Motif Distribution

Jijun Tang, Fei Guo, Gaofeng Pan, 2017, Scientific Reports.

Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy

Ying Ju, Xiangxiang Zeng, Jijun Tang, 2016, BMC Systems Biology.

Multivariate information fusion for identifying antifungal peptides with Hilbert-Schmidt Independence Criterion

Jijun Tang, Yijie Ding, Hao Wang, 2021, Current Bioinformatics.

An Efficient Multiple Kernel Support Vector Regression Model for Assessing Dry Weight of Hemodialysis Patients

Jijun Tang, Wei Zhou, Yijie Ding, 2020, Current Bioinformatics.

Identifying potential association on gene-disease network via dual hypergraph regularized least squares

Jijun Tang, Yijie Ding, Fei Guo, 2021, BMC Genomics.

Identification of drug-target interactions via multi-view graph regularized link propagation model

Jijun Tang, Fei Guo, Yijie Ding, 2021, Neurocomputing.

Membrane Protein Identification via Multi-view Graph Regularized k-Local Hyperplane Distance Nearest Neighbor Model

Q. Zou, Jijun Tang, Yijie Ding, 2021, IEEE International Conference on Bioinformatics and Biomedicine.

Identify ncRNA Subcellular Localization via Graph Regularized $k$k-Local Hyperplane Distance Nearest Neighbor Model on Multi-Kernel Learning

Jijun Tang, Yijie Ding, Fei Guo, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

Q. Zou, Leyi Wei, Jijun Tang, 2017, BMC Genomics.

Identification of Inhibitors of MMPS Enzymes via a Novel Computational Approach

Jijun Tang, Fei Guo, Jijun Tang, 2018, International journal of biological sciences.

New basic linear algebra methods for simulation on GPUs

Jian Shi, Blake Langland, Roger A. Dougal, 2011 .

Rearrangements in Phylogenetic Inference: Compare, Model, or Encode?

Yu Lin, Jijun Tang, Bernard M. E. Moret, 2013, Models and Algorithms for Genome Evolution.

A comprehensive overview and critical evaluation of gene regulatory network inference technologies

Jijun Tang, Fei Guo, Mengyuan Zhao, 2021, Briefings Bioinform..

Reconstructing Yeasts Phylogenies and Ancestors from Whole Genome Data

R. Friedman, Jijun Tang, Yan Guo, 2017, Scientific Reports.

A Median Solver and Phylogenetic Inference Based on Double-Cut-and-Join Sorting

Jun Zhou, Yu Lin, Jijun Tang, 2017, J. Comput. Biol..

Ancestral Genome Reconstruction on Whole Genome Level

Jijun Tang, Bing Feng, Lingxi Zhou, 2017, Current genomics.

A Median Solver and Phylogenetic Inference Based on DCJ Sorting

Jun Zhou, Jijun Tang, Bing Feng, 2017, ISBRA.

A Cooperative Co-Evolutionary Genetic Algorithm for Tree Scoring and Ancestral Genome Inference

Yan Zhang, Jijun Tang, Bing Feng, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Reconstructing Ancestral Genomic Orders Using Binary Encoding and Probabilistic Models

Jijun Tang, Fei Hu, Lingxi Zhou, 2013, ISBRA.

Emulating Insertion and Deletion Events in Genome Rearrangement Analysis

William Arndt, Jijun Tang, Jijun Tang, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Maximum likelihood phylogenetic reconstruction using gene order encodings

Meng Zhang, Jijun Tang, Fei Hu, 2011, 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

Isolating - a new resampling method for gene order data

Jian Shi, William Arndt, Jijun Tang, 2011, 2011 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB).

An Exact Solver for the DCJ Median Problem

Meng Zhang, William Arndt, Jijun Tang, 2008, Pacific Symposium on Biocomputing.

A Branch-and-Bound Method for the Multichromosomal Reversal Median Problem

Meng Zhang, William Arndt, Jijun Tang, 2008, WABI.

A Heuristic for Phylogenetic Reconstruction Using Transposition

Meng Zhang, Jijun Tang, Feng Yue, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Streaming Breakpoint Graph Analytics for Accelerating and Parallelizing the Computation of DCJ Median of Three Genomes

David A. Bader, Jijun Tang, Zhaoming Yin, 2013, ICCS.

Using jackknife to assess the quality of gene order phylogenies

Jian Shi, Jijun Tang, Yiwei Zhang, 2010, BMC Bioinformatics.

HiCPlus: Resolution Enhancement of Hi-C interaction heatmap

Jijun Tang, Yan Zhang, Ming Hu, 2017, bioRxiv.

Exploring genomes with a game engine

W. Jim Zheng, Yun Zhu, Jijun Tang, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Genomes with a Game Engine

Jeremiah J. Shepherd, Jijun Tang, W. J. Zheng, 2014 .

GSO: A Semantic Web Ontology to Capture 3D Genome Structure

Jingcheng Du, Cui Tao, W. Jim Zheng, 2014, SWAT4LS.

Succinct Text Indexes on Large Alphabet

Meng Zhang, Liang Hu, Qiang Li, 2006, TAMC.

Inferring ancestral chloroplast genomes with inverted repeat

Jijun Tang, Bernard M. E. Moret, Claude W. dePamphilis, 2006 .

Inferring Ancestral Chloroplast Genomes with Inverted Repea

Jijun Tang, Bernard M. E. Moret, Feng Yue, 2006, BIOCOMP.

Granular multiple kernel learning for identifying RNA-binding protein residues via integrating sequence and structure information

Jijun Tang, Fei Guo, Yijie Ding, 2021, Neural Computing and Applications.

Algorithms in Bioinformatics - 12th International Workshop, WABI 2012, Ljubljana, Slovenia, September 10-12, 2012. Proceedings

Benjamin J. Raphael, Jijun Tang, 2012, WABI.

Phylogenetic reconstruction with gene rearrangements and gene losses

Jijun Tang, Fei Hu, Yiwei Zhang, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism

Jijun Tang, Z. Liao, Yu Chen, 2022, Comput. Biol. Chem..

What tourists seek in peer-to-peer tour experiences? A topic modeling approach of online reviews

Jijun Tang, Fang Meng, Gaofeng Pan, 2023, Journal of Vacation Marketing.

IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction

Jijun Tang, Fei Guo, Junwen Duan, 2023, Briefings Bioinform..

Multi-pattern Matching with Wildcards

Meng Zhang, Jijun Tang, Yi Zhang, 2011, J. Softw..

The simulation and data visualization potential of Microsoft's XNA

Roger A. Dougal, Jijun Tang, Jeremiah J. Shepherd, 2010 .

TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation

Xia Li, Jijun Tang, Fei Guo, 2023, Expert Syst. Appl..

Multi-scale Neighborhood Attention Transformer on U-Net for Medical Image Segmentation

Xia Li, Jijun Tang, Fei Guo, 2022, 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Discovering Cancer Subtypes via an Accurate Fusion Strategy on Multiple Profile Data

Fei Guo, Limin Jiang, Jijun Tang, 2019, Front. Genet..

Phylogeny analysis from gene-order data with massive duplications

Yu Lin, Jijun Tang, Jieyi Zhao, 2017, BMC Genomics.

MLGO: phylogeny reconstruction and ancestral inference from gene-order data

Yu Lin, Jijun Tang, Fei Hu, 2014, BMC Bioinformatics.

An Accurate Tool for Uncovering Cancer Subtypes by Fast Kernel Learning Method to Integrate Multiple Profile Data

Jijun Tang, Limin Jiang, Yijie Ding, 2021, Frontiers in Cell and Developmental Biology.

Probabilistic Reconstruction of Ancestral Gene Orders with Insertions and Deletions

Jun Zhou, Jijun Tang, Fei Hu, 2014, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Matching a Set of Patterns with Wildcards

Meng Zhang, Jijun Tang, Yi Zhang, 2010, 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming.

Ancestral reconstruction under weighted maximum matching

Jijun Tang, Jieyi Zhao, Lingxi Zhou, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Reconstruction of Ancestral Gene Orders Using Probabilistic and Gene Encoding Approaches

Jijun Tang, Lingxi Zhou, Jijun Tang, 2014, PloS one.

Identification of protein-nucleotide binding residues via graph regularized k-local hyperplane distance nearest neighbor model

Jijun Tang, Yijie Ding, Fei Guo, 2021, Applied Intelligence.