Jianjun Hu
Orcid: 0000-0002-8725-6660
According to our database1,
Jianjun Hu
authored at least 121 papers
between 2002 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A2C-DRL: Dynamic Scheduling for Stochastic Edge-Cloud Environments Using A2C and Deep Reinforcement Learning.
IEEE Internet Things J., May, 2024
LSSMA: Lightweight Spectral-Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study.
CoRR, 2024
Deep Learning-Based Classification of Gamma Photon Interaction in Room-Temperature Semiconductor Radiation Detectors.
IEEE Access, 2024
2023
Probabilistic generative transformer language models for generative design of molecules.
J. Cheminformatics, December, 2023
GACP: graph neural networks with ARMA filters and a parallel CNN for hyperspectral image classification.
Int. J. Digit. Earth, December, 2023
Adv. Intell. Syst., December, 2023
Material transformers: deep learning language models for generative materials design.
Mach. Learn. Sci. Technol., March, 2023
Deep Learning-Based Classification of Gamma Photon Interactions in Room-Temperature Semiconductor Radiation Detectors.
CoRR, 2023
CoRR, 2023
Crystal structure prediction using neural network potential and age-fitness Pareto genetic algorithm.
CoRR, 2023
MD-HIT: Machine learning for materials property prediction with dataset redundancy control.
CoRR, 2023
2022
DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022
Scalable deeper graph neural networks for high-performance materials property prediction.
Patterns, 2022
Neurocomputing, 2022
CoRR, 2022
CoRR, 2022
Materials Transformers Language Models for Generative Materials Design: a benchmark study.
CoRR, 2022
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials.
CoRR, 2022
Genetic programming-based learning of carbon interatomic potential for materials discovery.
CoRR, 2022
Physics Guided Generative Adversarial Networks for Generations of Crystal Materials with Symmetry Constraints.
CoRR, 2022
A novel integrated control framework of AFS, ASS, and DYC based on ideal roll angle to improve vehicle stability.
Adv. Eng. Informatics, 2022
Torque Fluctuation Suppression Strategy of Integrated Electric Drive System Based on the Principle of Minimization of Instantaneous Current Tracking Error.
IEEE Access, 2022
2021
Neurocomputing, 2021
CoRR, 2021
CoRR, 2021
CoRR, 2021
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art.
CoRR, 2021
Crystal structure prediction of materials with high symmetry using differential evolution.
CoRR, 2021
SoundCLR: Contrastive Learning of Representations For Improved Environmental Sound Classification.
CoRR, 2021
CoRR, 2021
Comput. Intell. Neurosci., 2021
IEEE Access, 2021
Towards Automated GUI Design of Display Control Systems Based on SysML and Ontologies.
Proceedings of the 4th International Conference on Complex Systems Design & Management Asia, 2021
Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021
2020
Critical Temperature Prediction of Superconductors Based on Atomic Vectors and Deep Learning.
Symmetry, 2020
Mob. Networks Appl., 2020
Joint extraction of entities and relations using graph convolution over pruned dependency trees.
Neurocomputing, 2020
CoRR, 2020
A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets.
CoRR, 2020
Predicting Elastic Properties of Materials from Electronic Charge Density Using 3D Deep Convolutional Neural Networks.
CoRR, 2020
Global Attention based Graph Convolutional Neural Networks for Improved Materials Property Prediction.
CoRR, 2020
CoRR, 2020
A Novel Method of Bearing Fault Diagnosis in Time-Frequency Graphs Using InceptionResnet and Deformable Convolution Networks.
IEEE Access, 2020
Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction.
IEEE Access, 2020
Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees.
IEEE Access, 2020
2019
Symmetry, 2019
Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks.
Sensors, 2019
A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images.
Medical Biol. Eng. Comput., 2019
Neurocomputing, 2019
Generative adversarial networks (GAN) based efficient sampling of chemical space for inverse design of inorganic materials.
CoRR, 2019
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset.
CoRR, 2019
IEEE Access, 2019
Online Damage Monitoring of SiC<sub>f</sub>-SiC<sub>m</sub> Composite Materials Using Acoustic Emission and Deep Learning.
IEEE Access, 2019
An Optimal Torque Distribution Control Strategy for Four-Wheel Independent Drive Electric Vehicles Considering Energy Economy.
IEEE Access, 2019
Study on Electromechanical Coupling Characteristics of an Integrated Electric Drive System for Electric Vehicle.
IEEE Access, 2019
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
2018
DeepPatent: patent classification with convolutional neural networks and word embedding.
Scientometrics, 2018
Anti-oscillation and chaos control of the fractional-order brushless DC motor system via adaptive echo state networks.
J. Frankl. Inst., 2018
Fast, robust and accurate posture detection algorithm based on Kalman filter and SSD for AGV.
Neurocomputing, 2018
Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification.
Entropy, 2018
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images.
CoRR, 2018
Proceedings of the Bio-inspired Computing: Theories and Applications, 2018
2017
An Ensemble Deep Convolutional Neural Network Model with Improved D-S Evidence Fusion for Bearing Fault Diagnosis.
Sensors, 2017
J. Sensors, 2017
Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach.
IEEE Access, 2017
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017
2016
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
Self-adjusting nuclei segmentation (SANS) of Hematoxylin-Eosin stained histopathological breast cancer images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016
2015
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
2014
Int. J. Data Min. Bioinform., 2014
2013
Scored Protein-Protein Interaction to Predict Subcellular Localizations for Yeast Using Diffusion Kernel.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013
2012
BMC Bioinform., 2012
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012
Proceedings of the ACM International Conference on Bioinformatics, 2012
2011
HemeBIND: a novel method for heme binding residue prediction by combining structural and sequence information.
BMC Bioinform., 2011
Study on distributions of fatigue crack-nucleating particle sizes and cracks formation in aluminum alloy.
Proceedings of the 2011 IEEE International Conference on Intelligence and Security Informatics, 2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
BMC Bioinform., 2010
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Bioinformatics Analysis of Physichemical Properties of Protein Sorting Signals.
Proceedings of the ISCA 2nd International Conference on Bioinformatics and Computational Biology, 2010
NetLoc: Network based protein localization prediction using protein-protein interaction and co-expression networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010
2009
BMC Bioinform., 2009
Similarity computing model of high dimension data for symptom classification of Chinese traditional medicine.
Appl. Soft Comput., 2009
Improved Identification of Differentially Expressed Genes Using Pareto Gene Pruning.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009
Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding.
Proceedings of the Bioinformatics and Computational Biology, 2009
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
2008
Artif. Intell. Eng. Des. Anal. Manuf., 2008
2007
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007
Proceedings of ICEBE 2007, 2007
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007
2006
BMC Bioinform., 2006
Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinform., 2006
Proceedings of the 4th international workshop on Middleware for grid computing, 2006
2005
The Hierarchical Fair Competition (HFC) Framework for Sustainable Evolutionary Algorithms.
Evol. Comput., 2005
Proceedings of the Advances in Web-Age Information Management, 2005
Proceedings of the Genetic and Evolutionary Computation Conference, 2005
NNF: An Effective Approach in Medicine Paring Analysis of Traditional Chinese Medicine Prescriptions.
Proceedings of the Database Systems for Advanced Applications, 2005
Proceedings of the Advances in Computer Science, 2005
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005
2004
Proceedings of the Genetic and Evolutionary Computation, 2004
Robust and Efficient Genetic Algorithms with Hierarchical Niching and a Sustainable Evolutionary Computation Model.
Proceedings of the Genetic and Evolutionary Computation, 2004
TCMiner: A High Performance Data Mining System for Multi-dimensional Data Analysis of Traditional Chinese Medicine Prescriptions.
Proceedings of the Conceptual Modeling for Advanced Application Domains, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Proceedings of the IEEE Congress on Evolutionary Computation, 2004
Topological search in automated mechatronic system synthesis using bond graphs and genetic programming.
Proceedings of the 2004 American Control Conference, 2004
2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
Proceedings of the Genetic and Evolutionary Computation, 2003
2002
Automated design approaches for multi-domain dynamic systems using bond graphs and genetic programming.
Int. J. Comput. Syst. Signals, 2002
Structure Fitness Sharing (SFS) For Evolutionary Design By Genetic Programming.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Exploring Multiple Design Topologies Using Genetic Programming And Bond Graphs.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002
Proceedings of the 2002 Congress on Evolutionary Computation, 2002