Junzhong Ji

Orcid: 0000-0001-6951-741X

According to our database1, Junzhong Ji authored at least 103 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Prior tissue knowledge-driven contrastive learning for brain CT report generation.
Multim. Syst., April, 2024

GHCL: Gaussian heuristic curriculum learning for Brain CT report generation.
Multim. Syst., April, 2024

MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation.
Comput. Biol. Medicine, March, 2024

Multimodal Multiobjective Differential Evolutionary Optimization With Species Conservation.
IEEE Trans. Syst. Man Cybern. Syst., February, 2024

Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN.
IEEE Trans. Instrum. Meas., 2024

River runoff causal discovery with deep reinforcement learning.
Appl. Intell., 2024

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Weakly guided attention model with hierarchical interaction for brain CT report generation.
Comput. Biol. Medicine, December, 2023

Convolutional architecture search based on particle swarm algorithm for functional brain network classification.
Appl. Soft Comput., December, 2023

Tri-objective optimization-based cascade ensemble pruning for deep forest.
Pattern Recognit., November, 2023

Dual ant colony optimization for electric vehicle charging infrastructure planning.
Appl. Intell., November, 2023

Fast Progressive Differentiable Architecture Search based on adaptive task granularity reorganization.
Inf. Sci., October, 2023

Deep Hashing Mutual Learning for Brain Network Classification.
IEEE J. Biomed. Health Informatics, September, 2023

Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets.
Inf. Sci., August, 2023

A Survey on Brain Effective Connectivity Network Learning.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification.
J. Vis. Commun. Image Represent., March, 2023

Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., February, 2023

A dual decomposition strategy for large-scale multiobjective evolutionary optimization.
Neural Comput. Appl., February, 2023

Supervised Contrastive Learning With Structure Inference for Graph Classification.
IEEE Trans. Netw. Sci. Eng., 2023

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Adaptive particle swarm architecture search based on multi-level convolutions for functional brain network classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.
IEEE Trans. Neural Networks Learn. Syst., 2022

Functional Brain Network Classification Based on Deep Graph Hashing Learning.
IEEE Trans. Medical Imaging, 2022

Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification.
IEEE J. Biomed. Health Informatics, 2022

Convolutional Neural Network With Sparse Strategies to Classify Dynamic Functional Connectivity.
IEEE J. Biomed. Health Informatics, 2022

A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems.
Swarm Evol. Comput., 2022

A knowledge guided bacterial foraging optimization algorithm for many-objective optimization problems.
Neural Comput. Appl., 2022

FC-HAT: Hypergraph attention network for functional brain network classification.
Inf. Sci., 2022

Relation constraint self-attention for image captioning.
Neurocomputing, 2022

Supervised Contrastive Learning with Structure Inference for Graph Classification.
CoRR, 2022

A novel CNN framework to extract multi-level modular features for the classification of brain networks.
Appl. Intell., 2022

Sparse data augmentation based on encoderforest for brain network classification.
Appl. Intell., 2022

Deep Forest with Sparse Topological Feature Extraction and Hash Mapping for Brain Network Classification.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Cross-modal Contrastive Attention Model for Medical Report Generation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Brain Effective Connectivity Learning with Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021
Estimating Effective Connectivity by Recurrent Generative Adversarial Networks.
IEEE Trans. Medical Imaging, 2021

Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns.
Pattern Recognit., 2021

Divergent-convergent attention for image captioning.
Pattern Recognit., 2021

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation.
Neural Networks, 2021

Multi-task Self-distillation for Graph-based Semi-Supervised Learning.
CoRR, 2021

HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks.
Appl. Intell., 2021

Learning brain effective connectivity networks via controllable variational autoencoder.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information.
IEEE J. Biomed. Health Informatics, 2020

Spatio-Temporal Memory Attention for Image Captioning.
IEEE Trans. Image Process., 2020

Stability analysis of chemotaxis dynamics in bacterial foraging optimization over multi-dimensional objective functions.
Soft Comput., 2020

A New Diversity Maintenance Strategy based on the Double Granularity Grid for Multiobjective Optimization.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data.
Soft Comput., 2019

Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm.
Appl. Intell., 2019

Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks.
Soft Comput., 2018

一种基于信誉机制的科学文献影响力评价方法 (New Method for Ranking Scientific Publications with Creditworthiness Mechanism).
计算机科学, 2018

Biomedical semantic indexing by deep neural network with multi-task learning.
BMC Bioinform., 2018

Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A comparative study on swarm intelligence for structure learning of Bayesian networks.
Soft Comput., 2017

Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering.
Proceedings of the Brain Informatics - International Conference, 2017

A novel serial deep multi-task learning model for large scale biomedical semantic indexing.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Bacterial foraging optimization using novel chemotaxis and conjugation strategies.
Inf. Sci., 2016

Structural learning of Bayesian networks by bacterial foraging optimization.
Int. J. Approx. Reason., 2016

A Multiagent Evolutionary Method for Detecting Communities in Complex Networks.
Comput. Intell., 2016

Multiobjective Bacterial Foraging Optimization using Archive Strategy.
Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods, 2016

Bacterial biological mechanisms for functional module detection in PPI networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Identifying Protein Complexes Method Based on Time-Sequenced Association and Ant Colony Clustering in Dynamic PPI Networks.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015
ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks.
Int. J. Data Min. Bioinform., 2015

2014
Survey: Functional Module Detection from Protein-Protein Interaction Networks.
IEEE Trans. Knowl. Data Eng., 2014

MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks.
BMC Bioinform., 2014

Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Ant colony clustering based on sampling for community detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
An artificial bee colony algorithm for learning Bayesian networks.
Soft Comput., 2013

HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution.
Neurocomputing, 2013

2012
An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism.
Appl. Comput. Intell. Soft Comput., 2012

Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

2011
A hybrid method for learning Bayesian networks based on ant colony optimization.
Appl. Soft Comput., 2011

A fast and elitist grid selection evolutionary algorithm for Multi-objective Optimization: GSEA.
Proceedings of the Seventh International Conference on Natural Computation, 2011

A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2011

2010
Enhancing MOEA with component-emphasizing mechanism for multi-objective optimization.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

2009
A New Evolutionary Algorithm for Solving Multiobjective Optimization.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
A state-of-the-practice study on communication and coordination between chinese software suppliers and their global outsourcers.
Softw. Process. Improv. Pract., 2008

An empirical study on software development with open source components in the chinese software industry.
Softw. Process. Improv. Pract., 2008

A New Mechanism of Pheromone Increment and Diffusion for Solving Travelling Salesman Problems with Ant Colony Algorithm.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Some lessons learned in conducting software engineering surveys in china.
Proceedings of the Second International Symposium on Empirical Software Engineering and Measurement, 2008

2007
An improved Bayesian network structure learning algorithm and its application in an intelligent B2C portal.
Web Intell. Agent Syst., 2007

An Industrial Survey of Software Outsourcing in China.
Proceedings of the Product-Focused Software Process Improvement, 2007

A Survey of Software Development with Open Source Components in Chinese Software Industry.
Proceedings of the Software Process Dynamics and Agility, 2007

An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

A Survey on the Business Relationship between Chinese Outsourcing Software Suppliers and Their Outsourcers.
Proceedings of the 14th Asia-Pacific Software Engineering Conference (APSEC 2007), 2007

2006
An Ant Colony Optimization Algorithm for Learning Classification Rules.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

A New Method for Classifying Customer Purchasing Power.
Proceedings of the Advances in Intelligent IT, 2006

2005
Personalized recommendation based on a multilevel customer model.
Int. J. Pattern Recognit. Artif. Intell., 2005

An improved Bayesian networks learning algorithm based on independence test and MDL scoring.
Proceedings of the 2005 International Conference on Active Media Technology, 2005

2004
Bayesian Networks Structure Learning and Its Application to Personalized Recommendation in a B2C Portal.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

2003
Online Recommendation Based on Customer Shopping Model in E-Commerce.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002
WebMath: A Web-Based ITS System.
Proceedings of the Advances in Web-Based Learning, First International Conference, 2002

2001
Electronic Homework on the WWW.
Proceedings of the Web Intelligence: Research and Development, 2001

The Intelligent Electronic Shopping System Based on Bayesian Customer Modeling.
Proceedings of the Web Intelligence: Research and Development, 2001


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