Jianjun Hu

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Rongzhi DongPhD Candidate, University of South CarolinaVerified email at email.sc.edu
Yuxin Cuiresearch scientist, FacebookVerified email at email.sc.edu
Edirisuriya M. Dilanga SiriwardaneSenior Lecturer, University of ColomboVerified email at phys.cmb.ac.lk
Ming HuUniversity of South CarolinaVerified email at sc.edu
Yuqi SongAssistant professor of computer science, University of Southern Maine.Verified email at maine.edu
Zhonghao LiuFacebook, University of South CarolinaVerified email at fb.com
Steph-Yves LouisUniversity of South Carolina, Department of Computer ScienceVerified email at email.sc.edu
Alireza NasiriSimons Machine Learning Center, New York Structural Biology CenterVerified email at nysbc.org
Nihang FuPhD Candidate, University of South CarolinaVerified email at email.sc.edu
Lai WeiUniversity of South CarolinaVerified email at email.sc.edu
Zheng XiongMeta, University of South CarolinaVerified email at meta.com
Sadman Sadeed OmeeUniversity of South CarolinaVerified email at email.sc.edu
Jhih-Rong LinAlbert Einstein College of MedicineVerified email at einsteinmed.edu
Ananda MondalComputing and Information Sciences, Florida International UniversityVerified email at fiu.edu
Daisuke KiharaProfessor of Biological Sciences and Computer Science, Showalter University Faculty Scholar, PurdueVerified email at purdue.edu
Emrah AtilganComputer Science, University of South CarolinaVerified email at email.sc.edu
Jason Hattrick-SimpersDepartment of Materials Science and Engineering University of TorontoVerified email at utoronto.ca
Haiwei LuoAssociate Professor, The Chinese University of Hong KongVerified email at cuhk.edu.hk
Hexin ChenUniversity of South CarolinaVerified email at biol.sc.edu

Jianjun Hu

Professor of Computer Science, University of South Carolina

Verified email at cse.sc.edu - Homepage

Deep learning AI for Science materials informatics bioinformatics evolutionary computation


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Limitations and potentials of current motif discovery algorithms J Hu, B Li, D Kihara Nucleic acids research 33 (15), 4899-4913, 2005	309	2005
Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning A Zhang, S Li, Y Cui, W Yang, R Dong, J Hu IEEE Access 7, 110895-110904, 2019	284	2019
Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation Z Xiong, Y Cui, Z Liu, Y Zhao, M Hu, J Hu Computational Materials Science 171, 109203, 2020	250	2020
Subcellular localization of marine bacterial alkaline phosphatases H Luo, R Benner, RA Long, J Hu Proceedings of the National Academy of Sciences 106 (50), 21219-21223, 2009	246	2009
An Ensemble Deep Convolutional Neural Network Model with Improved DS Evidence Fusion for Bearing Fault Diagnosis S Li, G Liu, X Tang, J Lu, J Hu Sensors 17 (8), 1729, 2017	205	2017
DeepPatent: patent classification with convolutional neural networks and word embedding S Li, J Hu, Y Cui, J Hu Scientometrics 117 (2), 721-744, 2018	183	2018
Transfer Learning with Deep Recurrent Neural Networks for Remaining Useful Life Estimation A Zhang, H Wang, S Li, Y Cui, Z Liu, G Yang, J Hu Applied Sciences 8 (12), 2416, 2018	169	2018
A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images Y Cui, G Zhang, Z Liu, Z Xiong, J Hu Medical & biological engineering & computing 57 (9), 2027-2043, 2019	161	2019
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials Y Dan, Y Zhao, X Li, S Li, M Hu, J Hu npj Computational Materials 6 (1), 1-7, 2020	159	2020
Meta-learning for few-shot bearing fault diagnosis under complex working conditions C Li, S Li, A Zhang, Q He, Z Liao, J Hu Neurocomputing 439, 197-211, 2021	157	2021
Graph convolutional neural networks with global attention for improved materials property prediction SY Louis, Y Zhao, A Nasiri, X Wang, Y Song, F Liu, J Hu Physical Chemistry Chemical Physics 22 (32), 18141-18148, 2020	147	2020
SeqNLS: nuclear localization signal prediction based on frequent pattern mining and linear motif scoring J Lin, J Hu PloS one 8 (10), e76864, 2013	130	2013
Toward a unified and automated design methodology for multi-domain dynamic systems using bond graphs and genetic programming K Seo, Z Fan, J Hu, ED Goodman, RC Rosenberg Mechatronics 13 (8-9), 851-885, 2003	129	2003
The hierarchical fair competition (hfc) framework for sustainable evolutionary algorithms J Hu, E Goodman, K Seo, Z Fan, R Rosenberg Evolutionary Computation 13 (2), 241-277, 2005	127	2005
Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification J Hu, S Li, Y Yao, L Yu, G Yang, J Hu Entropy 20 (2), 104, 2018	115	2018
The hierarchical fair competition (HFC) model for parallel evolutionary algorithms JJ Hu, ED Goodman Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002	112	2002
An Ensemble Stacked Convolutional Neural Network Model for Environmental Event Sound Recognition S Li, Y Yao, J Hu, G Liu, X Yao, J Hu Applied Sciences 8 (7), 1152, 2018	111	2018
A review of text corpus-based tourism big data mining Q Li, S Li, S Zhang, J Hu, J Hu Applied Sciences 9 (16), 3300, 2019	109	2019
End-to-end convolutional neural network model for gear fault diagnosis based on sound signals Y Yao, H Wang, S Li, Z Liu, G Gui, Y Dan, J Hu Applied Sciences 8 (9), 1584, 2018	102	2018
Deep autoencoder neural networks for short-term traffic congestion prediction of transportation networks S Zhang, Y Yao, J Hu, Y Zhao, S Li, J Hu Sensors 19 (10), 2229, 2019	99	2019

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