Jianjun Hu

Orcid: 0000-0002-8725-6660

According to our database1, Jianjun Hu authored at least 130 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification.
Neural Process. Lett., June, 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

A class-incremental learning approach for learning feature-compatible embeddings.
Neural Networks, 2024

SPIRF-CTA: Selection of parameter importance levels for reasonable forgetting in continuous task adaptation.
Knowl. Based Syst., 2024

GGT-SNN: Graph learning and Gaussian prior integrated spiking graph neural network for event-driven tactile object recognition.
Inf. Sci., 2024

Implementation analysis of index calculus method on elliptic curves over prime finite fields.
IACR Cryptol. ePrint Arch., 2024

Out-of-distribution materials property prediction using adversarial learning based fine-tuning.
CoRR, 2024

AlphaCrystal-II: Distance matrix based crystal structure prediction using deep learning.
CoRR, 2024

Structure-based out-of-distribution (OOD) materials property prediction: a benchmark study.
CoRR, 2024

SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction.
Comput. Biol. Chem., 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

Discovery of 2D Materials using Transformer Network-Based Generative Design.
Adv. Intell. Syst., December, 2023

Global Mapping of Structures and Properties of Crystal Materials.
J. Chem. Inf. Model., June, 2023

Material transformers: deep learning language models for generative materials design.
Mach. Learn. Sci. Technol., March, 2023

Multi-Head multimodal deep interest recommendation network.
Knowl. Based Syst., 2023

Deep Learning-Based Classification of Gamma Photon Interactions in Room-Temperature Semiconductor Radiation Detectors.
CoRR, 2023

Generative Design of inorganic compounds using deep diffusion language models.
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

NODE-SELECT: A graph neural network based on a selective propagation technique.
Neurocomputing, 2022

Composition based oxidation state prediction of materials using deep learning.
CoRR, 2022

Materials Property Prediction with Uncertainty Quantification: A Benchmark Study.
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
Complementary dimension reduction.
Stat. Anal. Data Min., 2021

Meta-learning for few-shot bearing fault diagnosis under complex working conditions.
Neurocomputing, 2021

Semi-supervised teacher-student deep neural network for materials discovery.
CoRR, 2021

Physics guided deep learning generative models for crystal materials discovery.
CoRR, 2021

Predicting Lattice Phonon Vibrational Frequencies Using Deep Graph Neural Networks.
CoRR, 2021

Big Data driven Product Design: A Survey.
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

Active learning based generative design for the discovery of wide bandgap materials.
CoRR, 2021

Intelligent Optimization Algorithm-Based Path Planning for a Mobile Robot.
Comput. Intell. Neurosci., 2021

Unified Multi-Objective Genetic Algorithm for Energy Efficient Job Shop Scheduling.
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

Analysis and formulation of general running cycle of light vehicles.
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

Classifiers Protected against Attacks by Fusion of Multi-Branch Perturbed GAN.
Mob. Networks Appl., 2020

Joint extraction of entities and relations using graph convolution over pruned dependency trees.
Neurocomputing, 2020

Computational discovery of new 2D materials using deep learning generative models.
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

Machine Learning based prediction of noncentrosymmetric crystal materials.
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
Personalized Product Evaluation Based on GRA-TOPSIS and Kansei Engineering.
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

Multiple pedestrian tracking by combining particle filter and network flow model.
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

Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning.
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

AudioMask: Robust Sound Event Detection Using Mask R-CNN and Frame-Level Classifier.
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

A Novel Evolutionary Algorithm for Designing Robust Analog Filters.
Algorithms, 2018

Coupling PSO-GPR Based Medium and Long Term Load Forecasting in Beijing.
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

Improving Rolling Bearing Fault Diagnosis by DS Evidence Theory Based Fusion Model.
J. Sensors, 2017

Fuzzy Logic Controllers for Specialty Vehicles Using a Combination of Phase Plane Analysis and Variable Universe Approach.
IEEE Access, 2017

Ensemble of surrogates with an evolutionary multi-agent system.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

2016
Geometry based general prediction model of protein-peptide binding affinities.
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
A Combinatorial Genetic Algorithm for Computational Doping based Material Design.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
Network based prediction of protein localisation using diffusion Kernel.
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
Minimalist ensemble algorithms for genome-wide protein localization prediction.
BMC Bioinform., 2012

Mutation analysis of disease causing proteins.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

Nuclear localization signal prediction based on sequential pattern mining.
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

Network based subcellular localization prediction for multi-label proteins.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
BayesMotif: de novo protein sorting motif discovery from impure datasets.
BMC Bioinform., 2010

Efficient protein-ligand docking using sustainable evolutionary algorithms.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

Efficient protein-ligand docking using sustainable evolutionary algorithm.
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
Integrative disease classification based on cross-platform microarray data.
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

Bayesian Classifier for Anchored Protein Sorting Discovery.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Automated synthesis of mechanical vibration absorbers using genetic programming.
Artif. Intell. Eng. Des. Anal. Manuf., 2008

2007
Evolutionary Robust Design of Analog Filters Using Genetic Programming.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A decentralized quickest response algorithm for grid service discovery.
Proceedings of the 2nf International Conference on Scalable Information Systems, 2007

Adaptive Self-Configuration of EJB Server: A Performance Model Approach.
Proceedings of ICEBE 2007, 2007

CACS: A Novel Classification Algorithm Based on Concept Similarity.
Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006
EMD: an ensemble algorithm for discovering regulatory motifs in DNA sequences.
BMC Bioinform., 2006

Integrative missing value estimation for microarray data.
BMC Bioinform., 2006

Integrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data.
Bioinform., 2006

A decentralized service discovery algorithm for grid environment.
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

A Clustering Algorithm Based Absorbing Nearest Neighbors.
Proceedings of the Advances in Web-Age Information Management, 2005

Open-ended robust design of analog filters using genetic programming.
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

Mining Correlations Between Multi-streams Based on Haar Wavelet.
Proceedings of the Advances in Computer Science, 2005

Analysis of Real-Time Communication System with Queuing Priority.
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005

2004
Hierarchical Breeding Control for Efficient Topology/Parameter Evolution.
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

Wireless access point configuration by genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

Hierarchical evolutionary synthesis of MEMS.
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
Dense and Switched Modular Primitives for Bond Graph Model Design.
Proceedings of the Genetic and Evolutionary Computation, 2003

HEMO: A Sustainable Multi-objective Evolutionary Optimization Framework.
Proceedings of the Genetic and Evolutionary Computation, 2003

System-Level Synthesis of MEMS via Genetic Programming and Bond Graphs.
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

The hierarchical fair competition (HFC) model for parallel evolutionary algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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