Junzhong Ji

发表

Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information

Aidong Zhang, Junzhong Ji, Jinduo Liu, 2020, IEEE Journal of Biomedical and Health Informatics.

A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems

Junzhong Ji, Yannan Weng, Cuicui Yang, 2022, Swarm Evol. Comput..

Network Representations of Facial and Bodily Expressions: Evidence From Multivariate Connectivity Pattern Classification

Baolin Liu, Junzhong Ji, Xianglin Li, 2019, Front. Neurosci..

Functional Brain Network Classification Based on Deep Graph Hashing Learning

Junzhong Ji, Yaqin Zhang, 2022, IEEE Transactions on Medical Imaging.

Multi-task Self-distillation for Graph-based Semi-Supervised Learning

Lingfeng Niu, Junzhong Ji, Yating Ren, 2021, ArXiv.

FC-HAT: Hypergraph attention network for functional brain network classification

Junzhong Ji, Yating Ren, Minglong Lei, 2022, Inf. Sci..

Cross-modal Contrastive Attention Model for Medical Report Generation

Junzhong Ji, Pengxu Wei, Ying Liu, 2022, COLING.

Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score

A. Zhang, Guangxu Xun, Junzhong Ji, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm

Junzhong Ji, Xuewu Zhao, Xing Wang, 2018, Applied Intelligence.

Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data

Junzhong Ji, Xuewu Zhao, Aidong Zhang, 2018, Soft Computing.

A comparative study on swarm intelligence for structure learning of Bayesian networks

Baocai Yin, Junzhong Ji, Cuicui Yang, 2016, Soft Computing.

An artificial bee colony algorithm for learning Bayesian networks

Chunnian Liu, Junzhong Ji, Hongkai Wei, 2012, Soft Computing - A Fusion of Foundations, Methodologies and Applications.

Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification

Junzhong Ji, Junwei Li, 2022, IEEE Journal of Biomedical and Health Informatics.

The human brain functional parcellation based on fMRI data

PeiPeng Liang, XueWu Zhao, JunZhong Ji, 2016 .

A Multiagent Evolutionary Method for Detecting Communities in Complex Networks

Jiming Liu, Lang Jiao, Junzhong Ji, 2016, Comput. Intell..

Ant colony clustering with fitness perception and pheromone diffusion for community detection in complex networks

Xiuzhen Zhang, Chunnian Liu, Junzhong Ji, 2013 .

Ant colony clustering based on sampling for community detection

Xiuzhen Zhang, Junzhong Ji, Cuicui Yang, 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

Survey: Functional Module Detection from Protein-Protein Interaction Networks

Xiaomei Quan, Aidong Zhang, Zhijun Liu, 2014, IEEE Transactions on Knowledge and Data Engineering.

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

Junzhong Ji, Cuicui Yang, Hanghang Xiao, 2020, Appl. Intell..

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

Junzhong Ji, Cuicui Yang, Hanghang Xiao, 2020, Applied intelligence (Boston).

Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks

Aidong Zhang, Zhijun Liu, Chunnian Liu, 2012, ICICA.

Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks

Aidong Zhang, Zhijun Liu, Chunnian Liu, 2012, ICICA.

BFO-FMD: bacterial foraging optimization for functional module detection in protein–protein interaction networks

Aidong Zhang, Junzhong Ji, Cuicui Yang, 2018, Soft Comput..

ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks

Aidong Zhang, Zhijun Liu, Chunnian Liu, 2015, Int. J. Data Min. Bioinform..

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

Aidong Zhang, Zhijun Liu, Chunnian Liu, 2013, Neurocomputing.

Feature selection of fMRI data based on normalized mutual information and fisher discriminant ratio.

Junzhong Ji, Yanbin Wang, Peipeng Liang, 2016, Journal of X-ray science and technology.

Spatio-Temporal Memory Attention for Image Captioning

Xiaodan Zhang, Xinhang Song, Boyue Wang, 2020, IEEE Transactions on Image Processing.

Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction

Junzhong Ji, Minglong Lei, Fan Yu, 2023, IEEE Transactions on Intelligent Transportation Systems.

ACOEC-FD: Ant Colony Optimization for Learning Brain Effective Connectivity Networks From Functional MRI and Diffusion Tensor Imaging

Aidong Zhang, Junzhong Ji, Jinduo Liu, 2019, Front. Neurosci..

BFO-FMD: bacterial foraging optimization for functional module detection in protein–protein interaction networks

A. Zhang, Junzhong Ji, Cuicui Yang, 2017, Soft Computing.

Bacterial foraging optimization using novel chemotaxis and conjugation strategies

Baocai Yin, Jiming Liu, Junzhong Ji, 2016, Inf. Sci..

Multiobjective Bacterial Foraging Optimization using Archive Strategy

Junzhong Ji, Cuicui Yang, Junzhong Ji, 2016, ICPRAM.

Divergent-convergent attention for image captioning

Junzhong Ji, Zhuoran Du, Xiaodan Zhang, 2021, Pattern Recognit..

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation

Minglong Lei, Junzhong Ji, Ye Liang, 2021, Neural Networks.

Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data

Aidong Zhang, Xuewu Zhao, Junzhong Ji, 2018, Soft Computing.

A fast and elitist grid selection evolutionary algorithm for Multi-objective Optimization: GSEA

Yang Song, Chunnian Liu, Yamin Wang, 2011, 2011 Seventh International Conference on Natural Computation.

Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering

Yao Yao, Xuewu Zhao, Junzhong Ji, 2017, BI.

A comparative study on swarm intelligence for structure learning of Bayesian networks

Baocai Yin, Jiming Liu, Junzhong Ji, 2016, Soft Computing.

Structural learning of Bayesian networks by bacterial foraging optimization

Baocai Yin, Jiming Liu, Junzhong Ji, 2016, Int. J. Approx. Reason..

Artificial Bee Colony Algorithm Merged with Pheromone Communication Mechanism for the 0-1 Multidimensional Knapsack Problem

Baocai Yin, Chunnian Liu, Junzhong Ji, 2013 .

An artificial bee colony algorithm for learning Bayesian networks

Chunnian Liu, Junzhong Ji, Hongkai Wei, 2012, Soft Computing.

A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems

Chunnian Liu, Yamin Wang, Junzhong Ji, 2011, AICI.

A Survey on the Business Relationship between Chinese Outsourcing Software Suppliers and Their Outsourcers

Reidar Conradi, Jingyue Li, Jianqiang Ma, 2007, 14th Asia-Pacific Software Engineering Conference (APSEC'07).

Some lessons learned in conducting software engineering surveys in china

Reidar Conradi, Jingyue Li, Jianqiang Ma, 2008, ESEM '08.

Relation constraint self-attention for image captioning

Junzhong Ji, Liangqiong Qu, Minglong Lei, 2022, Neurocomputing.

Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks

Yao Yao, Junzhong Ji, Xinying Xing, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Survey on Brain Effective Connectivity Network Learning

Yongduan Song, Junzhong Ji, Aixiao Zou, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns

Xiaodan Zhang, Junzhong Ji, Junwei Li, 2021, Pattern Recognit..

Sparse data augmentation based on encoderforest for brain network classification

Junzhong Ji, Xiaodan Zhang, Zihan Wang, 2021, Applied Intelligence.

Biomedical semantic indexing by deep neural network with multi-task learning

Yunpeng Pan, Junzhong Ji, Yongping Du, 2018, BMC Bioinformatics.

A novel serial deep multi-task learning model for large scale biomedical semantic indexing

Yunpeng Pan, Yongping Du, Junzhong Ji, 2017, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A dual decomposition strategy for large-scale multiobjective evolutionary optimization

Junzhong Ji, Cuicui Yang, P. Wang, 2022, Neural Computing and Applications.

Brain Effective Connectivity Analysis Facilitates the Treatment Outcome Expectation of Sound Therapy in Patients With Tinnitus

H. Lv, S. Gong, Zhenchang Wang, 2023, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification

Junzhong Ji, Ying Liu, Xiao Song, 2023, J. Vis. Commun. Image Represent..

Deep Scaled Dot-Product Attention Based Domain Adaptation Model For Biomedical Question Answering.

Yongping Du, Junzhong Ji, Bingbing Pei, 2020, Methods.

Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering

Yongping Du, Junzhong Ji, Bingbing Pei, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A New Evolutionary Algorithm for Solving Multiobjective Optimization

Yang Song, Chunnian Liu, Yamin Wang, 2009, International Conference on Computing, Networking and Communications.

Supervised Contrastive Learning With Structure Inference for Graph Classification

Junzhong Ji, Yating Ren, Minglong Lei, 2022, IEEE Transactions on Network Science and Engineering.

Online recommendation based on customer shopping model in e-commerce

Ning Zhong, Chunnian Liu, Junzhong Ji, 2003, Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003).

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks

Aidong Zhang, Mengdi Huai, Guangxu Xun, 2020, AAAI.

Fast Progressive Differentiable Architecture Search based on adaptive task granularity reorganization

Junzhong Ji, Xingyu Wang, 2023, Inf. Sci..

An effective initialization strategy of pheromone for ant colony optimization

Chunnian Liu, Junzhong Ji, Qiguo Dai, 2009, 2009 Fourth International on Conference on Bio-Inspired Computing.

Tri-objective optimization-based cascade ensemble pruning for deep forest

Junzhong Ji, Junwei Li, 2023, Pattern Recognit..

Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features

Zihan Wang, Xiaodan Zhang, Junzhong Ji, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An Industrial Survey of Software Outsourcing in China

Reidar Conradi, Jingyue Li, Jianqiang Ma, 2007, PROFES.

Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models.

Yongduan Song, Junzhong Ji, Minglong Lei, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Deep Hashing Mutual Learning for Brain Network Classification

Junzhong Ji, Yaqin Zhang, 2023, IEEE Journal of Biomedical and Health Informatics.

A hybrid method for learning Bayesian networks based on ant colony optimization

Chunnian Liu, Junzhong Ji, Hongxun Zhang, 2011, Appl. Soft Comput..

An improved Bayesian network structure learning algorithm and its application in an intelligent B2C portal

Ning Zhong, Lisa Jing Yan, Chunnian Liu, 2007, Web Intell. Agent Syst..

An improved Bayesian networks learning algorithm based on independence test and MDL scoring

Chunnian Liu, Jing Yan, Junzhong Ji, 2005, Proceedings of the 2005 International Conference on Active Media Technology, 2005. (AMT 2005)..

Identifying Protein Complexes Method Based on Time-Sequenced Association and Ant Colony Clustering in Dynamic PPI Networks

Junzhong Ji, Cuicui Yang, Jia Wei Lv, 2016, 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE).

A method for re-planning of software releases using discrete-event simulation

Markus Pizka, Florian Deissenboeck, Jingyue Li, 2008 .

Agent-Based Network Intrusion Detection System

Bo An, Victor R. Lesser, Michael Krainin, 2007, 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'07).

An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data

Aidong Zhang, Peipeng Liang, Junzhong Ji, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

An empirical study on software development with open source components in the chinese software industry

Reidar Conradi, Jingyue Li, Jianqiang Ma, 2008, Softw. Process. Improv. Pract..

An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism

Chunnian Liu, Junzhong Ji, Yufang Qin, 2012, Appl. Comput. Intell. Soft Comput..

Enhancing MOEA with component-emphasizing mechanism for multi-objective optimization

Song Yang, Ji Junzhong, Liu Chunnian, 2010, BIC-TA.

Learning brain effective connectivity networks via controllable variational autoencoder

Junzhong Ji, Aixiao Zou, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Learning Causal Biological Networks with Parallel Ant Colony Optimization Algorithm

Junzhong Ji, Jinduo Liu, Jihao Zhai, 2023, Bioengineering.