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Jianjun Hu, Ph.D. - Publications

Affiliations: 
2004 Michigan State University, East Lansing, MI 
Area:
Computer Science
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28 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Louis SY, Zhao Y, Nasiri A, Wang X, Song Y, Liu F, Hu J. Graph convolutional neural networks with global attention for improved materials property prediction. Physical Chemistry Chemical Physics : Pccp. PMID 32766627 DOI: 10.1039/D0Cp01474E  0.325
2020 Li S, Dan Y, Li X, Hu T, Dong R, Cao Z, Hu J. Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning Symmetry. 12: 262. DOI: 10.3390/Sym12020262  0.305
2020 Li S, Yang W, Zhang A, Liu H, Huang J, Li C, Hu J. A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks Ieee Access. 8: 92743-92753. DOI: 10.1109/Access.2020.2995198  0.303
2020 Dan Y, Dong R, Cao Z, Li X, Niu C, Li S, Hu J. Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees Ieee Access. 8: 57868-57878. DOI: 10.1109/Access.2020.2981874  0.308
2020 Dan Y, Zhao Y, Li X, Li S, Hu M, Hu J. Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials Arxiv: Learning. 6: 1-7. DOI: 10.1038/S41524-020-00352-0  0.33
2020 Song Y, Lindsay J, Zhao Y, Nasiri A, Louis SM, Ling J, Hu M, Hu J. Machine Learning based prediction of noncentrosymmetric crystal materials Computational Materials Science. 183: 109792. DOI: 10.1016/J.Commatsci.2020.109792  0.324
2020 Xiong Z, Cui Y, Liu Z, Zhao Y, Hu M, Hu J. Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Computational Materials Science. 171: 109203. DOI: 10.1016/J.Commatsci.2019.109203  0.329
2019 Li X, Dan Y, Dong R, Cao Z, Niu C, Song Y, Li S, Hu J. Computational Screening of New Perovskite Materials Using Transfer Learning and Deep Learning Applied Sciences. 9: 5510. DOI: 10.3390/App9245510  0.311
2019 Nasiri A, Bao J, Mccleeary D, Louis SM, Huang X, Hu J. Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning Ieee Access. 7: 140534-140541. DOI: 10.1109/Access.2019.2943210  0.319
2018 Hu J, Li S, Yao Y, Yu L, Yang G, Hu J. Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. Entropy (Basel, Switzerland). 20. PMID 33265195 DOI: 10.3390/E20020104  0.305
2018 Hu J, Li S, Hu J, Yang G. A Hierarchical Feature Extraction Model for Multi-Label Mechanical Patent Classification Sustainability. 10: 1-22. DOI: 10.3390/Su10010219  0.316
2018 Li S, Wu Y, Xu Y, Hu J, Hu J. A Bayesian Network Based Adaptability Design of Product Structures for Function Evolution Applied Sciences. 8: 493. DOI: 10.3390/App8040493  0.306
2018 Li S, Zou W, Hu J. A Novel Evolutionary Algorithm for Designing Robust Analog Filters Algorithms. 11: 26. DOI: 10.3390/A11030026  0.353
2018 Li S, Xiong Z, Hu J. Inferring phase diagrams from X-ray data with background signals using graph segmentation Materials Science and Technology. 34: 315-326. DOI: 10.1080/02670836.2017.1389116  0.311
2018 Li S, Hu J, Cui Y, Hu J. DeepPatent: patent classification with convolutional neural networks and word embedding Scientometrics. 117: 721-744. DOI: 10.1007/S11192-018-2905-5  0.334
2017 Li S, Liu G, Tang X, Lu J, Hu J. An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis. Sensors (Basel, Switzerland). 17. PMID 28788099 DOI: 10.3390/S17081729  0.311
2017 Xiong Z, He Y, Hattrick-Simpers J, Hu J. Automated Phase Segmentation for Large-Scale X-ray Diffraction Data Using Graph-based Phase Segmentation (GPhase) Algorithm. Acs Combinatorial Science. PMID 28125201 DOI: 10.1021/Acscombsci.6B00121  0.301
2013 Lin JR, Hu J. SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring. Plos One. 8: e76864. PMID 24204689 DOI: 10.1371/Journal.Pone.0076864  0.304
2013 Liu R, Hu J. DNABind: a hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches. Proteins. 81: 1885-99. PMID 23737141 DOI: 10.1002/Prot.24330  0.332
2012 Lin JR, Mondal AM, Liu R, Hu J. Minimalist ensemble algorithms for genome-wide protein localization prediction. Bmc Bioinformatics. 13: 157. PMID 22759391 DOI: 10.1186/1471-2105-13-157  0.302
2010 Hu J, Zhang F. BayesMotif: de novo protein sorting motif discovery from impure datasets. Bmc Bioinformatics. 11: S66. PMID 20122242 DOI: 10.1186/1471-2105-11-S1-S66  0.306
2008 Hu J, Goodman ED, Li S, Rosenberg R. Automated synthesis of mechanical vibration absorbers using genetic programming Artificial Intelligence For Engineering Design, Analysis and Manufacturing: Aiedam. 22: 207-217. DOI: 10.1017/S0890060408000140  0.543
2006 Hu J, Yang YD, Kihara D. EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences. Bmc Bioinformatics. 7: 342. PMID 16839417 DOI: 10.1186/1471-2105-7-342  0.312
2006 Yuan C, Tang C, Wen Y, Zuo J, Peng J, Hu J. Convergency of Genetic Regression In Data Mining Based On Gene Expression Programming and Optimized Solution International Journal of Computers and Applications. 28: 359-366. DOI: 10.1080/1206212X.2006.11441822  0.31
2005 Hu J, Li B, Kihara D. Limitations and potentials of current motif discovery algorithms. Nucleic Acids Research. 33: 4899-913. PMID 16284194 DOI: 10.1093/Nar/Gki791  0.329
2005 Hu J, Goodman E, Seo K, Fan Z, Rosenberg R. The hierarchical fair competition (HFC) framework for sustainable evolutionary algorithms. Evolutionary Computation. 13: 241-77. PMID 15969902 DOI: 10.1162/1063656054088530  0.633
2004 Fan Z, Seo K, Hu J, Goodman ED, Rosenberg RC. A novel evolutionary engineering design approach for mixed-domain systems Engineering Optimization. 36: 127-147. DOI: 10.1080/03052150410001647957  0.64
2003 Seo K, Fan Z, Hu J, Goodman ED, Rosenberg RC. Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming Mechatronics. 13: 851-885. DOI: 10.1016/S0957-4158(03)00006-0  0.636
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