Jun Hu Ph.D
Correspondence College of Information Engineering, Zhejiang University of Technology, Hangzhou, China, 310023
Email junh_cs@126.com or hujunum@zjut.edu.cn
OCRID https://orcid.org/0000-0001-9202-7515
ResearchGate https://www.researchgate.net/profile/Jun_Hu14
Brief Biography 

Mr. Jun Hu received his B.S. degree in computer science from AnHui Normal University in 2011. From 2011 to 2018, he acted as a Ph.D Student of School of Computer Science and Engineering in NanJing University of Science and Technology and a member of Pattern Recognition and Bioinformatics Group, led by professor Dong-Jun Yu. From 2016 to 2017, he acted as a visiting student at the University of Michigan (Ann Arbor) in U.S.A. He is currently a common academical and educational worker in the College of Information Engineering at Zhejiang University of Technology. His current interests include pattern recognition, data mining and bioinformatics.

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Published Papers (>> Google Scholar Citation Profile)


Journal Papers
  • Jun Hu, Zi Liu, Dong-Jun Yu, and Yang Zhang. LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening [J]. Bioinformatics, 2018, 34(13): 2209-2218. [DOI] [Web Server]

  • Jun Hu, Yang Li, Yang Zhang, and Dong-Jun Yu. ATPbind: accurate protein-ATP binding site prediction by combining sequence-profiling and structure-based comparisons [J]. Journal of Chemical Information and Modeling, 2018, 58(2): 501-510. [Web Server] (WOS: 000426613800029)

  • Jun Hu, Yang Li, Ming Zhang, Xibei Yang, Hong-Bin Shen, and Dong-Jun Yu. Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-based Features and Boosting Multiple SVMs [J]. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, 14(6): 1389-1398. [Web Server] [Dataset] (WOS: 000418112400017)

  • Jun Hu, Ke Han, Yang Li, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM [J]. Amino Acids, 2016, 48(11): 2533-2547. [Web Server] (WOS: 000386691700005)

  • Jun Hu, Yang Li, Wu-Xia Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. KNN-based Dynamic Query-Driven Sample Rescaling Strategy for Class Imbalance Learning [J]. Neurocomputing, 2016, 191: 363-373. [Web Server] (WOS: 000375165900031)

  • Jun Hu, Yang Li, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. GPCR-drug Interactions Prediction Using Random Forest with Drug-Association-Matrix-Based Post-Processing Procedure [J]. Computational Biology and Chemistry, 2016, 60: 59-71. [Web Server] (WOS: 000369678300007)

  • Wuxia Yan, Sheng Wang, Jun Hu, and Chuancai Liu. Fronto-parallel building facades stitching. Electronics Letters, 2016, 52(18): 1524-1526. (WOS: 000383378500010)

  • Xue He, Ke Han, Jun Hu, Hui Yan, Jing-Yu Yang, Hong-Bin Shen, and Dong-Jun Yu. TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition. Journal of Membrane Biology, 2015, 248(6): 1005-1014. [Web Server] (WOS: 000363265100007)

  • Dong-Jun Yu, Jun Hu, Qian-Mu Li, Zhen-Min Tang, Jing-Yu Yang, and Hong-Bin Shen. Constructing Query-Driven Dynamic Machine Learning Model with Application to Protein-Ligand Binding Sites Prediction. IEEE Transactions on NanoBioscience, 2015, 14(1): 45-58. [Web Server] (WOS: 000350884300006)

  • Dong-Jun Yu, Yang Li, Jun Hu, Hong-Bin Shen, and Jing-Yu Yang. Disulfide Connectivity Prediction Based on Modelled Protein 3D Structural Information and Random Forest Regression. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2015, 12(3): 611-621. [Web Server] (WOS: 000356608100013)

  • Jun Hu, Xue He, Dong-Jun Yu*, Xi-Bei Yang, Jing-Yu Yang, and Hong-Bin Shen. A New Supervised Over-Sampling Algorithm with Application to Protein-Nucleotide Binding Residues Prediction. PLOS ONE, 2014, 9(9): e107676 [PDF] [Web Server] (WOS: 000342123900058)

  • Dong-Jun Yu, Jun Hu, Hui Yan, Hong-Bin Shen, and Jing-Yu Yang. Enhancing Protein-Vitamin Binding Residues Prediction by Multiple Heterogeneous Subspace SVMs Ensemble. BMC Bioinformatics, 2014, 15:297. [PDF] [Web Server] (WOS: 000344891200001)

  • Dong-Jun Yu, Jun Hu, Jing Yang, Hong-Bin Shen, Jinhui Tang, and Jing-Yu Yang. Designing template-free predictor for targeting protein-ligand binding sites with classifier ensemble and spatial clustering. IEEE/ACM Transactions on Computational Biology and Bioinformatics2013, 10(4): 994-1008. [Web Server] (WOS: 000328640700016)

  • Dong-Jun Yu, Jun Hu, Xiaowei Wu, Hong-Bin Shen, Jun Chen, Zhenmin Tang, Jian Yang, and Jingyu Yang. Learning Protein Multi-View Features in Complex Space,  Amino Acids. 2013, 44(5): 1365-1379. [Web Server] (WOS: 000317682100012)

  • Dong-Jun Yu, Jun Hu, Yan Huang, Hong-Bin Shen, Yong Qi, Zhen-Min Tang and Jing-Yu Yang. TargetATPsite: A Template-free Method for ATP Binding Sites Prediction with Residue Evolution Image Sparse Representation and Classifier EnsembleJournal of Computational Chemistry, 2013, 34(11): 974-985.  ( Inside Cover Story) [Web Server] (WOS: 000316627400009)

  • Dong-Jun Yu, Jun Hu, Zhen-Min Tang, Hong-Bin Shen, Jian Yang, and Jing-Yu Yang. Improving Protein-ATP Binding Residues Prediction by Boosting SVMs with Random Under-Sampling. Neurocomputing, 2013, 104: 180-190. [Web Server] (WOS: 000316163500017)


Conference Papers
  • Jun Hu, Zi Liu, and Dong-Jun Yu*. Enhancing Protein-ATP and Protein-ADP Binding Sites Prediction Using Supervised Instance-Transfer Learning. The 4th Asian Conference on Pattern Recognition (ACPR 2017). 2017: 759-763

  • Dong-Jun Yu, Jun Hu, Jian-Hua Xie, Yong Qi, and Zhen-Min Tang. Supervised Kernel Self-Organizing Map. 2012 Sino-foreign-interchange Workshop on Intelligence Science and Intelligent Data Engineering (IScIDE 2012). Springer, Nanjing, LNCS 7751, pp. 246--253. Springer, Heidelberg (2013). (Accession number: 13373489)

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