Jianjun Hu, Ph.D.
Affiliations: | 2004 | Michigan State University, East Lansing, MI |
Area:
Computer ScienceGoogle:
"Jianjun Hu"Parents
Sign in to add mentor| Erik D. Goodman | grad student | 2004 | Michigan State | |
| (Sustainable evolutionary algorithms and scalable evolutionary synthesis of dynamic systems.) | ||||
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Publications
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| Louis SY, Zhao Y, Nasiri A, et al. (2020) Graph convolutional neural networks with global attention for improved materials property prediction. Physical Chemistry Chemical Physics : Pccp |
| Li S, Dan Y, Li X, et al. (2020) Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning Symmetry. 12: 262 |
| Li S, Yang W, Zhang A, et al. (2020) A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks Ieee Access. 8: 92743-92753 |
| Dan Y, Dong R, Cao Z, et al. (2020) Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees Ieee Access. 8: 57868-57878 |
| Dan Y, Zhao Y, Li X, et al. (2020) Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials Arxiv: Learning. 6: 1-7 |
| Song Y, Lindsay J, Zhao Y, et al. (2020) Machine Learning based prediction of noncentrosymmetric crystal materials Computational Materials Science. 183: 109792 |
| Xiong Z, Cui Y, Liu Z, et al. (2020) Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Computational Materials Science. 171: 109203 |
| Li X, Dan Y, Dong R, et al. (2019) Computational Screening of New Perovskite Materials Using Transfer Learning and Deep Learning Applied Sciences. 9: 5510 |
| Nasiri A, Bao J, Mccleeary D, et al. (2019) Online Damage Monitoring of SiCf-SiCm Composite Materials Using Acoustic Emission and Deep Learning Ieee Access. 7: 140534-140541 |
| Hu J, Li S, Yao Y, et al. (2018) Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification. Entropy (Basel, Switzerland). 20 |