Junzhong Ji

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 78

Top Venues

BIBM

Appl. Intell.

Inf. Sci.

IEEE J. Biomed. Health Informatics

Publications

Junzhong Ji, Runfeng Zhao, Minglong Lei
Latent diffusion transformer for point cloud generation. Vis. Comput. 40 (6) (2024)
Junzhong Ji, Zuozhen Zhang, Lu Han, Jinduo Liu
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation. Comput. Biol. Medicine 170 (2024)
Jinduo Liu, Lu Han, Junzhong Ji
MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data. IEEE Trans. Medical Imaging 43 (8) (2024)
Junzhong Ji, Tongxuan Wu, Cuicui Yang
Multimodal Multiobjective Differential Evolutionary Optimization With Species Conservation. IEEE Trans. Syst. Man Cybern. Syst. 54 (2) (2024)
Junzhong Ji, Feipeng Wang, Lu Han, Jinduo Liu
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. IEEE Trans. Signal Inf. Process. over Networks 10 (2024)
Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Junzhong Ji, Ting Wang, Jinduo Liu, Muhua Wang, Wei Tang
River runoff causal discovery with deep reinforcement learning. Appl. Intell. 54 (4) (2024)
Qingya Shen, Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Ying Liu, Huimin Xu
GHCL: Gaussian heuristic curriculum learning for Brain CT report generation. Multim. Syst. 30 (2) (2024)
Junzhong Ji, Chuantai Ye, Cuicui Yang
Convolutional bidirectional GRU for dynamic functional connectivity classification in brain diseases diagnosis. Knowl. Based Syst. 287 (2024)
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. AAAI (2024)
Junzhong Ji, Tongxuan Wu, Cuicui Yang
Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method. Knowl. Based Syst. 300 (2024)
Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang, Huimin Xu
Prior tissue knowledge-driven contrastive learning for brain CT report generation. Multim. Syst. 30 (2) (2024)
Junzhong Ji, Lu Han, Feipeng Wang, Jinduo Liu
Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN. IEEE Trans. Instrum. Meas. 73 (2024)
Cuicui Yang, Guangyuan Sui, Junzhong Ji, Xiang Li, Xiaoyu Zhang
DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization. Expert Syst. Appl. 255 (2024)
Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song
A Survey on Brain Effective Connectivity Network Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei
Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Trans. Netw. Sci. Eng. 10 (3) (2023)
Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu
Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. J. Vis. Commun. Image Represent. 91 (2023)
Junzhong Ji, Yaqin Zhang
Deep Hashing Mutual Learning for Brain Network Classification. IEEE J. Biomed. Health Informatics 27 (9) (2023)
Xiaodan Zhang, Sisi Yang, Yanzhao Shi, Junzhong Ji, Ying Liu, Zheng Wang, Huimin Xu
Weakly guided attention model with hierarchical interaction for brain CT report generation. Comput. Biol. Medicine 167 (2023)
Junzhong Ji, Yuefeng Liu, Cuicui Yang
Dual ant colony optimization for electric vehicle charging infrastructure planning. Appl. Intell. 53 (22) (2023)
Cuicui Yang, Tongxuan Wu, Junzhong Ji
Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets. Inf. Sci. 639 (2023)
Junzhong Ji, Fan Yu, Minglong Lei
Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 24 (2) (2023)
Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu
Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. EMNLP (2023)
Cuicui Yang, Peike Wang, Junzhong Ji
A dual decomposition strategy for large-scale multiobjective evolutionary optimization. Neural Comput. Appl. 35 (5) (2023)
Junzhong Ji, Xingyu Wang
Convolutional architecture search based on particle swarm algorithm for functional brain network classification. Appl. Soft Comput. 149 (Part B) (2023)
Junzhong Ji, Junwei Li
Tri-objective optimization-based cascade ensemble pruning for deep forest. Pattern Recognit. 143 (2023)
Xingyu Wang, Junzhong Ji
Adaptive particle swarm architecture search based on multi-level convolutions for functional brain network classification. BIBM (2023)
Junzhong Ji, Xingyu Wang
Fast Progressive Differentiable Architecture Search based on adaptive task granularity reorganization. Inf. Sci. 645 (2023)
Hao Jia, Junzhong Ji, Minglong Lei
Supervised Contrastive Learning with Structure Inference for Graph Classification. CoRR (2022)
Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
Relation constraint self-attention for image captioning. Neurocomputing 501 (2022)
Cuicui Yang, Yannan Weng, Junzhong Ji, Tongxuan Wu
A knowledge guided bacterial foraging optimization algorithm for many-objective optimization problems. Neural Comput. Appl. 34 (23) (2022)
Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai
Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM (2022)
Junwei Li, Junzhong Ji
Deep Forest with Sparse Topological Feature Extraction and Hash Mapping for Brain Network Classification. PRICAI (1) (2022)
Junzhong Ji, Junwei Li
Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Junzhong Ji, Zhihui Chen, Cuicui Yang
Convolutional Neural Network With Sparse Strategies to Classify Dynamic Functional Connectivity. IEEE J. Biomed. Health Informatics 26 (3) (2022)
Junzhong Ji, Yaqin Zhang
Functional Brain Network Classification Based on Deep Graph Hashing Learning. IEEE Trans. Medical Imaging 41 (10) (2022)
Junzhong Ji, Yao Yao
A novel CNN framework to extract multi-level modular features for the classification of brain networks. Appl. Intell. 52 (6) (2022)
Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Junzhong Ji, Yating Ren, Minglong Lei
FC-HAT: Hypergraph attention network for functional brain network classification. Inf. Sci. 608 (2022)
Junzhong Ji, Yannan Weng, Cuicui Yang, Tongxuan Wu
A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems. Swarm Evol. Comput. 72 (2022)
Junzhong Ji, Zihan Wang, Xiaodan Zhang, Junwei Li
Sparse data augmentation based on encoderforest for brain network classification. Appl. Intell. 52 (4) (2022)
Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei
Cross-modal Contrastive Attention Model for Medical Report Generation. COLING (2022)
Junzhong Ji, Jinduo Liu, Lu Han, Feipeng Wang
Estimating Effective Connectivity by Recurrent Generative Adversarial Networks. IEEE Trans. Medical Imaging 40 (12) (2021)
Junzhong Ji, Hanghang Xiao, Cuicui Yang
HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks. Appl. Intell. 51 (2) (2021)
Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR (2021)
Junzhong Ji, Yao Yao
Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Junzhong Ji, Xinying Xing, Yao Yao, Junwei Li, Xiaodan Zhang
Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns. Pattern Recognit. 109 (2021)
Sisi Yang, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang
Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. BIBM (2021)
Junzhong Ji, Zhuoran Du, Xiaodan Zhang
Divergent-convergent attention for image captioning. Pattern Recognit. 115 (2021)
Junzhong Ji, Ye Liang, Minglong Lei
Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks 142 (2021)
Aixiao Zou, Junzhong Ji
Learning brain effective connectivity networks via controllable variational autoencoder. BIBM (2021)
Junzhong Ji, Yannan Weng, Cuicui Yang
A New Diversity Maintenance Strategy based on the Double Granularity Grid for Multiobjective Optimization. ICPRAM (2020)
Junzhong Ji, Cheng Xu, Xiaodan Zhang, Boyue Wang, Xinhang Song
Spatio-Temporal Memory Attention for Image Captioning. IEEE Trans. Image Process. 29 (2020)
Cuicui Yang, Junzhong Ji, Sanjiang Li
Stability analysis of chemotaxis dynamics in bacterial foraging optimization over multi-dimensional objective functions. Soft Comput. 24 (5) (2020)
Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI (2020)
Jinduo Liu, Junzhong Ji, Xiuqin Jia, Aidong Zhang
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. IEEE J. Biomed. Health Informatics 24 (7) (2020)
Junwei Li, Junzhong Ji, Yin Liang, Xiaodan Zhang, Zihan Wang
Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. BIBM (2019)
Zhihui Chen, Junzhong Ji, Yin Liang
Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity. BIBM (2019)
Xuewu Zhao, Junzhong Ji, Aidong Zhang
Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft Comput. 23 (18) (2019)
Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM (2019)
Xuewu Zhao, Junzhong Ji, Xing Wang
Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm. Appl. Intell. 49 (5) (2019)
Cuicui Yang, Junzhong Ji, Aidong Zhang
BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks. Soft Comput. 22 (10) (2018)
Yongping Du, Yunpeng Pan, Chencheng Wang, Junzhong Ji
Biomedical semantic indexing by deep neural network with multi-task learning. BMC Bioinform. (20) (2018)
Lei Feng, Junzhong Ji, Chensheng Wu
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 45 (11A) (2018)
Xinying Xing, Junzhong Ji, Yao Yao
Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks. BIBM (2018)
Yongping Du, Bingbing Pei, Xiaozheng Zhao, Junzhong Ji
Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering. BIBM (2018)
Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin
A comparative study on swarm intelligence for structure learning of Bayesian networks. Soft Comput. 21 (22) (2017)
Yongping Du, Yunpeng Pan, Junzhong Ji
A novel serial deep multi-task learning model for large scale biomedical semantic indexing. BIBM (2017)
Xuewu Zhao, Junzhong Ji, Yao Yao
Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering. BI (2017)
Cuicui Yang, Junzhong Ji, Jiming Liu, Baocai Yin
Bacterial foraging optimization using novel chemotaxis and conjugation strategies. Inf. Sci. 363 (2016)
Cuicui Yang, Junzhong Ji, Jia Wei Lv
Identifying Protein Complexes Method Based on Time-Sequenced Association and Ant Colony Clustering in Dynamic PPI Networks. BIBE (2016)
Cuicui Yang, Junzhong Ji, Aidong Zhang
Bacterial biological mechanisms for functional module detection in PPI networks. BIBM (2016)
Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang
An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. BIBM (2016)
Cuicui Yang, Junzhong Ji
Multiobjective Bacterial Foraging Optimization using Archive Strategy. ICPRAM (2016)
Junzhong Ji, Lang Jiao, Cuicui Yang, Jiming Liu
A Multiagent Evolutionary Method for Detecting Communities in Complex Networks. Comput. Intell. 32 (4) (2016)
Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin
Structural learning of Bayesian networks by bacterial foraging optimization. Int. J. Approx. Reason. 69 (2016)
Junzhong Ji, Jia Wei Lv, Cuicui Yang, Aidong Zhang
Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (4) (2016)
Junzhong Ji, Hongxin Liu, Aidong Zhang, Zhijun Liu, Chunnian Liu
ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks. Int. J. Data Min. Bioinform. 11 (3) (2015)
Xiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang
Ant colony clustering based on sampling for community detection. IEEE Congress on Evolutionary Computation (2014)
Junzhong Ji, Aidong Zhang, Chunnian Liu, Xiaomei Quan, Zhijun Liu
Survey: Functional Module Detection from Protein-Protein Interaction Networks. IEEE Trans. Knowl. Data Eng. 26 (2) (2014)
Hongxin Liu, Junzhong Ji, Cuicui Yang, Jia Wei Lv, Xiuzhen Zhang
Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks. WI-IAT (3) (2014)
Junzhong Ji, Lang Jiao, Cuicui Yang, Jia Wei Lv, Aidong Zhang
MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks. BMC Bioinform. 15 (2014)
Junzhong Ji, Hongkai Wei, Chunnian Liu
An artificial bee colony algorithm for learning Bayesian networks. Soft Comput. 17 (6) (2013)
Junzhong Ji, Zhijun Liu, Aidong Zhang, Cuicui Yang, Chunnian Liu
HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution. Neurocomputing 121 (2013)
Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu
Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (LNCS) (2012)
Yufang Qin, Junzhong Ji, Chunnian Liu
An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism. Appl. Comput. Intell. Soft Comput. 2012 (2012)
Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu
Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (2) (2012)
Junzhong Ji, Renbing Hu, Hongxun Zhang, Chunnian Liu
A hybrid method for learning Bayesian networks based on ant colony optimization. Appl. Soft Comput. 11 (4) (2011)
Hongkai Wei, Junzhong Ji, Yufang Qin, Yamin Wang, Chunnian Liu
A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems. AICI (2) (2011)
Yufang Qin, Junzhong Ji, Yang Song, Yamin Wang, Chunnian Liu
A fast and elitist grid selection evolutionary algorithm for Multi-objective Optimization: GSEA. ICNC (2011)
Yang Song, Junzhong Ji, Chunnian Liu
Enhancing MOEA with component-emphasizing mechanism for multi-objective optimization. BIC-TA (2010)
Yang Song, Junzhong Ji, Yamin Wang, Chunnian Liu
A New Evolutionary Algorithm for Solving Multiobjective Optimization. ICNC (4) (2009)
Junzhong Ji, Jingyue Li, Reidar Conradi, Chunnian Liu, Jianqiang Ma, Weibing Chen
Some lessons learned in conducting software engineering surveys in china. ESEM (2008)
Junzhong Ji, Zheng Huang, Yamin Wang, Chunnian Liu
A New Mechanism of Pheromone Increment and Diffusion for Solving Travelling Salesman Problems with Ant Colony Algorithm. ICNC (7) (2008)
Jianqiang Ma, Jingyue Li, Weibing Chen, Reidar Conradi, Junzhong Ji, Chunnian Liu
A state-of-the-practice study on communication and coordination between chinese software suppliers and their global outsourcers. Softw. Process. Improv. Pract. 13 (3) (2008)
Weibing Chen, Jingyue Li, Jianqiang Ma, Reidar Conradi, Junzhong Ji, Chunnian Liu
An empirical study on software development with open source components in the chinese software industry. Softw. Process. Improv. Pract. 13 (1) (2008)
Junzhong Ji, Zhen Huang, Chunnian Liu, Xuejing Liu, Ning Zhong
An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems. IAT (2007)
Jianqiang Ma, Jingyue Li, Weibing Chen, Reidar Conradi, Junzhong Ji, Chunnian Liu
An Industrial Survey of Software Outsourcing in China. PROFES (2007)
Jingyue Li, Jianqiang Ma, Reidar Conradi, Weibing Chen, Junzhong Ji, Chunnian Liu
A Survey on the Business Relationship between Chinese Outsourcing Software Suppliers and Their Outsourcers. APSEC (2007)
Weibing Chen, Jingyue Li, Jianqiang Ma, Reidar Conradi, Junzhong Ji, Chunnian Liu
A Survey of Software Development with Open Source Components in Chinese Software Industry. ICSP (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Junzhong Ji