The Intelligent Electronic Shopping System Based on Bayesian Customer Modeling. - Junzhong Ji; Lei Zheng; Chunnian Liu (Web Intelligence, 2001)

Electronic Homework on the WWW. - Chunnian Liu; Lei Zheng; Junzhong Ji; Chengzhong Yang; Jingyue Li; Wensheng Yang (Web Intelligence, 2001)

WebMath: A Web-Based ITS System. - Chunnian Liu; Lei Zheng; Junzhong Ji; Dong Jia; Chuan Jiang; Wensheng Yang (ICWL, 2002)

Online Recommendation Based on Customer Shopping Model in E-Commerce. - Junzhong Ji; Zhiqiang Sha; Chunnian Liu; Ning Zhong 001 (Web Intelligence, 2003)

Bayesian Networks Structure Learning and Its Application to Personalized Recommendation in a B2C Portal. - Junzhong Ji; Chunnian Liu; Lisa Jing Yan; Ning Zhong 001 (Web Intelligence, 2004)

An improved Bayesian networks learning algorithm based on independence test and MDL scoring. - Junzhong Ji; Jing Yan; Chunnian Liu; Ning Zhong 001 (AMT, 2005)

Personalized recommendation based on a multilevel customer model. - Junzhong Ji; Chunnian Liu; Zhiqiang Sha; Ning Zhong 001 (Int. J. Pattern Recognit. Artif. Intell., 2005)

A New Method for Classifying Customer Purchasing Power. - Junzhong Ji; Fan Chen; Chunnian Liu (AMT, 2006)

An Ant Colony Optimization Algorithm for Learning Classification Rules. - Junzhong Ji; Ning Zhang; Chunnian Liu; Ning Zhong 001 (Web Intelligence, 2006)

A Survey on the Business Relationship between Chinese Outsourcing Software Suppliers and Their Outsourcers. - Jingyue Li; Jianqiang Ma; Reidar Conradi; Weibing Chen; Junzhong Ji; Chunnian Liu (APSEC, 2007)

An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems. - Junzhong Ji; Zhen Huang; Chunnian Liu; Xuejing Liu; Ning Zhong 001 (IAT, 2007)

A Survey of Software Development with Open Source Components in Chinese Software Industry. - Weibing Chen; Jingyue Li; Jianqiang Ma; Reidar Conradi; Junzhong Ji; Chunnian Liu (ICSP, 2007)

An Industrial Survey of Software Outsourcing in China. - Jianqiang Ma; Jingyue Li; Weibing Chen; Reidar Conradi; Junzhong Ji; Chunnian Liu (PROFES, 2007)

An improved Bayesian network structure learning algorithm and its application in an intelligent B2C portal. - Junzhong Ji; Chunnian Liu; Lisa Jing Yan; Ning Zhong 001 (Web Intell. Agent Syst., 2007)

Some lessons learned in conducting software engineering surveys in china. - Junzhong Ji; Jingyue Li; Reidar Conradi; Chunnian Liu; Jianqiang Ma; Weibing Chen (ESEM, 2008)

A New Mechanism of Pheromone Increment and Diffusion for Solving Travelling Salesman Problems with Ant Colony Algorithm. - Junzhong Ji; Zheng Huang; Yamin Wang; Chunnian Liu (ICNC (7), 2008)

An empirical study on software development with open source components in the chinese software industry. - Weibing Chen; Jingyue Li; Jianqiang Ma; Reidar Conradi; Junzhong Ji; Chunnian Liu (Softw. Process. Improv. Pract., 2008)

A state-of-the-practice study on communication and coordination between chinese software suppliers and their global outsourcers. - Jianqiang Ma; Jingyue Li; Weibing Chen; Reidar Conradi; Junzhong Ji; Chunnian Liu (Softw. Process. Improv. Pract., 2008)

A New Evolutionary Algorithm for Solving Multiobjective Optimization. - Yang Song; Junzhong Ji; Yamin Wang; Chunnian Liu (ICNC (4), 2009)

Enhancing MOEA with component-emphasizing mechanism for multi-objective optimization. - Yang Song; Junzhong Ji; Chunnian Liu (BIC-TA, 2010)

A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems. - Hongkai Wei; Junzhong Ji; Yufang Qin; Yamin Wang; Chunnian Liu (AICI (2), 2011)

A fast and elitist grid selection evolutionary algorithm for Multi-objective Optimization: GSEA. - Yufang Qin; Junzhong Ji; Yang Song; Yamin Wang; Chunnian Liu (ICNC, 2011)

A hybrid method for learning Bayesian networks based on ant colony optimization. - Junzhong Ji; Renbing Hu; Hongxun Zhang; Chunnian Liu (Appl. Soft Comput., 2011)

Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks. - Junzhong Ji; Zhijun Liu; Aidong Zhang; Lang Jiao; Chunnian Liu (ICICA (LNCS), 2012)

Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks. - Junzhong Ji; Zhijun Liu; Aidong Zhang; Lang Jiao; Chunnian Liu (ICICA (2), 2012)

An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism. - Yufang Qin; Junzhong Ji; Chunnian Liu (Appl. Comput. Intell. Soft Comput., 2012)

HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution. - Junzhong Ji; Zhijun Liu; Aidong Zhang; Cuicui Yang; Chunnian Liu (Neurocomputing, 2013)

An artificial bee colony algorithm for learning Bayesian networks. - Junzhong Ji; Hongkai Wei; Chunnian Liu (Soft Comput., 2013)

Ant colony clustering based on sampling for community detection. - Xiangjing Song; Junzhong Ji; Cuicui Yang; Xiuzhen Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks. - Hongxin Liu; Junzhong Ji; Cuicui Yang; Jia Wei Lv; Xiuzhen Zhang 001 (WI-IAT (3), 2014)

MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks. - Junzhong Ji; Lang Jiao; Cuicui Yang; Jia Wei Lv; Aidong Zhang (BMC Bioinform., 2014)

Survey: Functional Module Detection from Protein-Protein Interaction Networks. - Junzhong Ji; Aidong Zhang; Chunnian Liu; Xiaomei Quan; Zhijun Liu (IEEE Trans. Knowl. Data Eng., 2014)

ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks. - Junzhong Ji; Hongxin Liu; Aidong Zhang; Zhijun Liu; Chunnian Liu (Int. J. Data Min. Bioinform., 2015)

Identifying Protein Complexes Method Based on Time-Sequenced Association and Ant Colony Clustering in Dynamic PPI Networks. - Cuicui Yang; Junzhong Ji; Jia Wei Lv (BIBE, 2016)

An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. - Jinduo Liu 001; Junzhong Ji; Aidong Zhang; Peipeng Liang (BIBM, 2016)

Bacterial biological mechanisms for functional module detection in PPI networks. - Cuicui Yang; Junzhong Ji; Aidong Zhang (BIBM, 2016)

Multiobjective Bacterial Foraging Optimization using Archive Strategy. - Cuicui Yang; Junzhong Ji (ICPRAM, 2016)

A Multiagent Evolutionary Method for Detecting Communities in Complex Networks. - Junzhong Ji; Lang Jiao; Cuicui Yang; Jiming Liu 001 (Comput. Intell., 2016)

Structural learning of Bayesian networks by bacterial foraging optimization. - Cuicui Yang; Junzhong Ji; Jiming Liu 001; Jinduo Liu 001; Baocai Yin (Int. J. Approx. Reason., 2016)

Bacterial foraging optimization using novel chemotaxis and conjugation strategies. - Cuicui Yang; Junzhong Ji; Jiming Liu 001; Baocai Yin (Inf. Sci., 2016)

Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks. - Junzhong Ji; Jia Wei Lv; Cuicui Yang; Aidong Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

A novel serial deep multi-task learning model for large scale biomedical semantic indexing. - Yongping Du; Yunpeng Pan; Junzhong Ji (BIBM, 2017)

Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering. - Xuewu Zhao; Junzhong Ji; Yao Yao (BI, 2017)

A comparative study on swarm intelligence for structure learning of Bayesian networks. - Junzhong Ji; Cuicui Yang; Jiming Liu 001; Jinduo Liu 001; Baocai Yin (Soft Comput., 2017)

Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering. - Yongping Du; Bingbing Pei; Xiaozheng Zhao; Junzhong Ji (BIBM, 2018)

Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks. - Xinying Xing; Junzhong Ji; Yao Yao (BIBM, 2018)

Biomedical semantic indexing by deep neural network with multi-task learning. - Yongping Du; Yunpeng Pan; Chencheng Wang; Junzhong Ji (BMC Bioinform., 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). - Lei Feng; Junzhong Ji; Chensheng Wu (计算机科学, 2018)

BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks. - Cuicui Yang; Junzhong Ji; Aidong Zhang (Soft Comput., 2018)

Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity. - Zhihui Chen; Junzhong Ji; Yin Liang (BIBM, 2019)

Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. - Junwei Li; Junzhong Ji; Yin Liang; Xiaodan Zhang 003; Zihan Wang 003 (BIBM, 2019)

Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. - Jinduo Liu 001; Junzhong Ji; Liuyi Yao; Aidong Zhang (BIBM, 2019)

Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm. - Xuewu Zhao; Junzhong Ji; Xing Wang (Appl. Intell., 2019)

Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. - Xuewu Zhao; Junzhong Ji; Aidong Zhang (Soft Comput., 2019)

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. - Jinduo Liu 001; Junzhong Ji; Guangxu Xun; Liuyi Yao; Mengdi Huai; Aidong Zhang (AAAI, 2020)

A New Diversity Maintenance Strategy based on the Double Granularity Grid for Multiobjective Optimization. - Junzhong Ji; Yannan Weng; Cuicui Yang (ICPRAM, 2020)

Stability analysis of chemotaxis dynamics in bacterial foraging optimization over multi-dimensional objective functions. - Cuicui Yang; Junzhong Ji; Sanjiang Li (Soft Comput., 2020)

Spatio-Temporal Memory Attention for Image Captioning. - Junzhong Ji; Cheng Xu; Xiaodan Zhang 003; Boyue Wang; Xinhang Song (IEEE Trans. Image Process., 2020)

Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. - Jinduo Liu 001; Junzhong Ji; Xiuqin Jia; Aidong Zhang (IEEE J. Biomed. Health Informatics, 2020)

Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. - Sisi Yang; Junzhong Ji; Xiaodan Zhang 003; Ying Liu; Zheng Wang (BIBM, 2021)

Learning brain effective connectivity networks via controllable variational autoencoder. - Aixiao Zou; Junzhong Ji (BIBM, 2021)

HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks. - Junzhong Ji; Hanghang Xiao; Cuicui Yang (Appl. Intell., 2021)

Multi-task Self-distillation for Graph-based Semi-Supervised Learning. - Yating Ren; Junzhong Ji; Lingfeng Niu; Minglong Lei (CoRR, 2021)

Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. - Junzhong Ji; Ye Liang; Minglong Lei (Neural Networks, 2021)

Divergent-convergent attention for image captioning. - Junzhong Ji; Zhuoran Du; Xiaodan Zhang 003 (Pattern Recognit., 2021)

Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns. - Junzhong Ji; Xinying Xing; Yao Yao; Junwei Li; Xiaodan Zhang 003 (Pattern Recognit., 2021)

Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification. - Junzhong Ji; Yao Yao (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Estimating Effective Connectivity by Recurrent Generative Adversarial Networks. - Junzhong Ji; Jinduo Liu 001; Lu Han; Feipeng Wang (IEEE Trans. Medical Imaging, 2021)

Brain Effective Connectivity Learning with Deep Reinforcement Learning. - Yilin Lu; Jinduo Liu 001; Junzhong Ji; Han Lv; Mengdi Huai (BIBM, 2022)

Cross-modal Contrastive Attention Model for Medical Report Generation. - Xiao Song 003; Xiaodan Zhang 003; Junzhong Ji; Ying Liu; Pengxu Wei (COLING, 2022)

Deep Forest with Sparse Topological Feature Extraction and Hash Mapping for Brain Network Classification. - Junwei Li; Junzhong Ji (PRICAI (1), 2022)

Sparse data augmentation based on encoderforest for brain network classification. - Junzhong Ji; Zihan Wang 003; Xiaodan Zhang 003; Junwei Li (Appl. Intell., 2022)

A novel CNN framework to extract multi-level modular features for the classification of brain networks. - Junzhong Ji; Yao Yao (Appl. Intell., 2022)

Supervised Contrastive Learning with Structure Inference for Graph Classification. - Hao Jia; Junzhong Ji; Minglong Lei (CoRR, 2022)

Relation constraint self-attention for image captioning. - Junzhong Ji; Mingzhan Wang; Xiaodan Zhang 003; Minglong Lei; Liangqiong Qu (Neurocomputing, 2022)

FC-HAT: Hypergraph attention network for functional brain network classification. - Junzhong Ji; Yating Ren; Minglong Lei (Inf. Sci., 2022)

A knowledge guided bacterial foraging optimization algorithm for many-objective optimization problems. - Cuicui Yang; Yannan Weng; Junzhong Ji; Tongxuan Wu (Neural Comput. Appl., 2022)

A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems. - Junzhong Ji; Yannan Weng; Cuicui Yang; Tongxuan Wu (Swarm Evol. Comput., 2022)

Convolutional Neural Network With Sparse Strategies to Classify Dynamic Functional Connectivity. - Junzhong Ji; Zhihui Chen; Cuicui Yang (IEEE J. Biomed. Health Informatics, 2022)

Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification. - Junzhong Ji; Junwei Li (IEEE J. Biomed. Health Informatics, 2022)

Functional Brain Network Classification Based on Deep Graph Hashing Learning. - Junzhong Ji; Yaqin Zhang (IEEE Trans. Medical Imaging, 2022)

Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. - Jinduo Liu 001; Junzhong Ji; Guangxu Xun; Aidong Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

Adaptive particle swarm architecture search based on multi-level convolutions for functional brain network classification. - Xingyu Wang; Junzhong Ji (BIBM, 2023)

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. - Yanzhao Shi; Junzhong Ji; Xiaodan Zhang 003; Liangqiong Qu; Ying Liu (EMNLP, 2023)

Supervised Contrastive Learning With Structure Inference for Graph Classification. - Junzhong Ji; Hao Jia; Yating Ren; Minglong Lei (IEEE Trans. Netw. Sci. Eng., 2023)

A dual decomposition strategy for large-scale multiobjective evolutionary optimization. - Cuicui Yang; Peike Wang; Junzhong Ji (Neural Comput. Appl., 2023)

Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. - Junzhong Ji; Fan Yu; Minglong Lei (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. - Xiao Song 003; Xiaodan Zhang 003; Junzhong Ji; Ying Liu (J. Vis. Commun. Image Represent., 2023)

A Survey on Brain Effective Connectivity Network Learning. - Junzhong Ji; Aixiao Zou; Jinduo Liu 001; Cuicui Yang; Xiaodan Zhang 003; Yongduan Song (IEEE Trans. Neural Networks Learn. Syst., 2023)

Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets. - Cuicui Yang; Tongxuan Wu; Junzhong Ji (Inf. Sci., 2023)

Deep Hashing Mutual Learning for Brain Network Classification. - Junzhong Ji; Yaqin Zhang (IEEE J. Biomed. Health Informatics, 2023)

Fast Progressive Differentiable Architecture Search based on adaptive task granularity reorganization. - Junzhong Ji; Xingyu Wang (Inf. Sci., 2023)

Dual ant colony optimization for electric vehicle charging infrastructure planning. - Junzhong Ji; Yuefeng Liu; Cuicui Yang (Appl. Intell., 2023)

Tri-objective optimization-based cascade ensemble pruning for deep forest. - Junzhong Ji; Junwei Li (Pattern Recognit., 2023)

Convolutional architecture search based on particle swarm algorithm for functional brain network classification. - Junzhong Ji; Xingyu Wang (Appl. Soft Comput., 2023)

Weakly guided attention model with hierarchical interaction for brain CT report generation. - Xiaodan Zhang 003; Sisi Yang; Yanzhao Shi; Junzhong Ji; Ying Liu; Zheng Wang; Huimin Xu (Comput. Biol. Medicine, 2023)

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. - Zuozhen Zhang; Junzhong Ji; Jinduo Liu 001 (AAAI, 2024)

Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting. - Jing He; Junzhong Ji; Minglong Lei (CIKM, 2024)

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. - Chengxin Zheng; Junzhong Ji; Yanzhao Shi; Xiaodan Zhang 003; Liangqiong Qu (EMNLP (Findings), 2024)

Concept-Level Causal Explanation Method for Brain Function Network Classification. - Jinduo Liu 001; Feipeng Wang; Junzhong Ji (IJCAI, 2024)

Decomposed Latent Diffusion Model for 3D Point Cloud Generation. - Runfeng Zhao; Junzhong Ji; Minglong Lei (PRCV (6), 2024)

River runoff causal discovery with deep reinforcement learning. - Junzhong Ji; Ting Wang; Jinduo Liu 001; Muhua Wang; Wei Tang (Appl. Intell., 2024)

Inferring causal protein signalling networks from single-cell data based on parallel discrete artificial bee colony algorithm. - Jinduo Liu 001; Jihao Zhai; Junzhong Ji (CAAI Trans. Intell. Technol., 2024)

DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization. - Cuicui Yang; Guangyuan Sui; Junzhong Ji; Xiang Li; Xiaoyu Zhang (Expert Syst. Appl., 2024)

Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method. - Junzhong Ji; Tongxuan Wu; Cuicui Yang (Knowl. Based Syst., 2024)

Convolutional bidirectional GRU for dynamic functional connectivity classification in brain diseases diagnosis. - Junzhong Ji; Chuantai Ye; Cuicui Yang (Knowl. Based Syst., 2024)

Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN. - Junzhong Ji; Lu Han; Feipeng Wang; Jinduo Liu 001 (IEEE Trans. Instrum. Meas., 2024)

Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. - Junzhong Ji; Feipeng Wang; Lu Han; Jinduo Liu 001 (IEEE Trans. Signal Inf. Process. over Networks, 2024)

Multimodal Multiobjective Differential Evolutionary Optimization With Species Conservation. - Junzhong Ji; Tongxuan Wu; Cuicui Yang (IEEE Trans. Syst. Man Cybern. Syst., 2024)

MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation. - Junzhong Ji; Zuozhen Zhang; Lu Han; Jinduo Liu 001 (Comput. Biol. Medicine, 2024)

GHCL: Gaussian heuristic curriculum learning for Brain CT report generation. - Qingya Shen; Yanzhao Shi; Xiaodan Zhang 003; Junzhong Ji; Ying Liu; Huimin Xu (Multim. Syst., 2024)

Prior tissue knowledge-driven contrastive learning for brain CT report generation. - Yanzhao Shi; Junzhong Ji; Xiaodan Zhang 003; Ying Liu; Zheng Wang; Huimin Xu (Multim. Syst., 2024)

Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. - Aixiao Zou; Junzhong Ji; Minglong Lei; Jinduo Liu 001; Yongduan Song (IEEE Trans. Neural Networks Learn. Syst., 2024)

Latent diffusion transformer for point cloud generation. - Junzhong Ji; Runfeng Zhao; Minglong Lei (Vis. Comput., 2024)

MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data. - Jinduo Liu 001; Lu Han; Junzhong Ji (IEEE Trans. Medical Imaging, 2024)

Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation. - Xiaodan Zhang 003; Shixin Dou; Junzhong Ji; Ying Liu; Zheng Wang (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. - Xiaodan Zhang 003; Yanzhao Shi; Junzhong Ji; Chengxin Zheng; Liangqiong Qu (AAAI, 2025)

Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. - Sicheng He; Junzhong Ji; Minglong Lei (AAAI, 2025)

Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. - Wen Xiong; Jinduo Liu 001; Junzhong Ji; Fenglong Ma (KDD (1), 2025)

Multi-atlas functional and effective connectivity attention fusion method for autism spectrum disorder diagnosis. - Minqi Yu; Jinduo Liu 001; Junzhong Ji (Eng. Appl. Artif. Intell., 2025)

A similar environment transfer strategy for dynamic multiobjective optimization. - Junzhong Ji; Xiaoyu Zhang; Cuicui Yang; Xiang Li; Guangyuan Sui (Inf. Sci., 2025)

MsAD-LEC: Estimating large-scale brain effective connectivity network based on multi-subgraph attention diffusion. - Junzhong Ji; Jingdong Fan; Jinduo Liu 001 (Knowl. Based Syst., 2025)

A difference vector angle dominance relation for expensive multi-objective optimization. - Cuicui Yang; Jing Chen; Junzhong Ji; Xiaoyu Zhang; Kangning Hao (Swarm Evol. Comput., 2025)

Intra- and Inter-Head Orthogonal Attention for Image Captioning. - Xiaodan Zhang 003; Aozhe Jia; Junzhong Ji; Liangqiong Qu; Qixiang Ye (IEEE Trans. Image Process., 2025)

Spatio-Temporal Transformer Network for Weather Forecasting. - Junzhong Ji; Jing He; Minglong Lei; Muhua Wang; Wei Tang (IEEE Trans. Big Data, 2025)

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding. - Yanzhao Shi; Xiaodan Zhang 003; Junzhong Ji; Haoning Jiang; Chengxin Zheng; Yinong Wang; Liangqiong Qu (CoRR, 2025)