Junzhong Ji - RankMe

142 papers A* 8A 2B 3C 4Misc 1Journal 88Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CellRa: A region-aware method for cell segmentation. Eng. Appl. Artif. Intell. Junzhong Ji, Mu-Ran Zhu, Jinduo Liu
2026	J	`jnl`	PE-RBNAS: A robust neural architecture search with progressive-enhanced strategies for brain network classification. Medical Image Anal. Xingyu Wang, Junzhong Ji, Gan Liu, Yadong Xiao
2026	J	`jnl`	Revolution in Automated Architecture Engineering: A Comprehensive Survey on Vertical Domain Demand-Driven NAS Methods. IEEE Trans Autom. Sci. Eng. Xingyu Wang, Junzhong Ji
2026	J	`jnl`	WaveST-Mamba: A joint framework of wavelet transform with Mamba for stable and fluctuating patterns in spatio-temporal weather forecasting. Eng. Appl. Artif. Intell. Yadong Xiao, Junzhong Ji, Minglong Lei, Muhua Wang, Tingzhao Yu
2025	—	`conf`	A Dynamic Constrained Multiobjective Evolutionary Algorithm based on Convergence Path Interpolation. GECCO Companion Guangyuan Sui, Cuicui Yang, Junzhong Ji, Xiaoyu Zhang
2025	J	`jnl`	A brain information decomposition mechanism inspired evolutionary algorithm for large-scale multi-objective optimization. Appl. Intell. Tongxuan Wu, Junzhong Ji, Cuicui Yang
2025	J	`jnl`	A difference vector angle dominance relation for expensive multi-objective optimization. Swarm Evol. Comput. Cuicui Yang, Jing Chen, Junzhong Ji, Xiaoyu Zhang, Kangning Hao
2025	J	`jnl`	A pre-communication mechanism for evolutionary multitasking optimization. Neural Comput. Appl. Cuicui Yang, Xiang Li, Junzhong Ji, Xiaoyu Zhang
2025	J	`jnl`	A similar environment transfer strategy for dynamic multiobjective optimization. Inf. Sci. Junzhong Ji, Xiaoyu Zhang, Cuicui Yang, Xiang Li, Guangyuan Sui
2025	—	`conf`	Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. KDD (1) Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025	J	`jnl`	Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. CoRR Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025	J	`jnl`	CSBNC-PAL: Consistency Semi-Supervised Brain Network Classification Framework With Prototypical-Adversarial Learning. IEEE J. Biomed. Health Informatics Junzhong Ji, Gan Liu, Xingyu Wang
2025	A*	`conf`	Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning. ICML Minqi Yu, Jinduo Liu, Junzhong Ji
2025	A*	`conf`	Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction. AAAI Sicheng He, Junzhong Ji, Minglong Lei
2025	J	`jnl`	Electrocardiogram Signal Classification Based on Bidirectional LSTM and Multi-Task Temporal Attention. J. Comput. Sci. Technol. Mu-Ran Zhu, Jin-Duo Liu, Junzhong Ji
2025	J	`jnl`	HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding. CoRR Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Haoning Jiang, Chengxin Zheng, Yinong Wang, Liangqiong Qu
2025	A*	`conf`	Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. IJCAI Jihao Zhai, Junzhong Ji, Jinduo Liu
2025	J	`jnl`	Intra- and Inter-Head Orthogonal Attention for Image Captioning. IEEE Trans. Image Process. Xiaodan Zhang, Aozhe Jia, Junzhong Ji, Liangqiong Qu, Qixiang Ye
2025	A*	`conf`	MEPNet: Medical Entity-Balanced Prompting Network for Brain CT Report Generation. AAAI Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	J	`jnl`	MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation. CoRR Xiaodan Zhang, Yanzhao Shi, Junzhong Ji, Chengxin Zheng, Liangqiong Qu
2025	—	`conf`	MSGFlowNet: Learning Effective Connectivity Network Based on Sparse Generative Flow Network from fMRI and EEG Data. MICCAI (1) Zhihao Su, Jihao Zhai, Junzhong Ji, Jinduo Liu
2025	J	`jnl`	MsAD-LEC: Estimating large-scale brain effective connectivity network based on multi-subgraph attention diffusion. Knowl. Based Syst. Junzhong Ji, Jingdong Fan, Jinduo Liu
2025	J	`jnl`	Multi-atlas functional and effective connectivity attention fusion method for autism spectrum disorder diagnosis. Eng. Appl. Artif. Intell. Minqi Yu, Jinduo Liu, Junzhong Ji
2025	J	`jnl`	Spatio-Temporal Transformer Network for Weather Forecasting. IEEE Trans. Big Data Junzhong Ji, Jing He, Minglong Lei, Muhua Wang, Wei Tang
2025	J	`jnl`	Triplet-Based Deep Hashing Incremental Learning for Brain Network Classification. IEEE J. Biomed. Health Informatics Yaqin Zhang, Junzhong Ji, Gan Liu, Xingyu Wang
2024	J	`jnl`	Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. IEEE Trans. Signal Inf. Process. over Networks Junzhong Ji, Feipeng Wang, Lu Han, Jinduo Liu
2024	J	`jnl`	Co-Occurrence Relationship Driven Hierarchical Attention Network for Brain CT Report Generation. IEEE Trans. Emerg. Top. Comput. Intell. Xiaodan Zhang, Shixin Dou, Junzhong Ji, Ying Liu, Zheng Wang
2024	A*	`conf`	Concept-Level Causal Explanation Method for Brain Function Network Classification. IJCAI Jinduo Liu, Feipeng Wang, Junzhong Ji
2024	J	`jnl`	Convolutional bidirectional GRU for dynamic functional connectivity classification in brain diseases diagnosis. Knowl. Based Syst. Junzhong Ji, Chuantai Ye, Cuicui Yang
2024	—	`conf`	Decomposed Latent Diffusion Model for 3D Point Cloud Generation. PRCV (6) Runfeng Zhao, Junzhong Ji, Minglong Lei
2024	J	`jnl`	DpEA: A dual-population evolutionary algorithm for dynamic constrained multiobjective optimization. Expert Syst. Appl. Cuicui Yang, Guangyuan Sui, Junzhong Ji, Xiang Li, Xiaoyu Zhang
2024	J	`jnl`	Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN. IEEE Trans. Instrum. Meas. Junzhong Ji, Lu Han, Feipeng Wang, Jinduo Liu
2024	J	`jnl`	Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
2024	J	`jnl`	GHCL: Gaussian heuristic curriculum learning for Brain CT report generation. Multim. Syst. Qingya Shen, Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Ying Liu, Huimin Xu
2024	J	`jnl`	Inferring causal protein signalling networks from single-cell data based on parallel discrete artificial bee colony algorithm. CAAI Trans. Intell. Technol. Jinduo Liu, Jihao Zhai, Junzhong Ji
2024	J	`jnl`	Latent diffusion transformer for point cloud generation. Vis. Comput. Junzhong Ji, Runfeng Zhao, Minglong Lei
2024	J	`jnl`	MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data. IEEE Trans. Medical Imaging Jinduo Liu, Lu Han, Junzhong Ji
2024	J	`jnl`	MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation. Comput. Biol. Medicine Junzhong Ji, Zuozhen Zhang, Lu Han, Jinduo Liu
2024	A*	`conf`	MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. AAAI Zuozhen Zhang, Junzhong Ji, Jinduo Liu
2024	J	`jnl`	Multimodal Multiobjective Differential Evolutionary Optimization With Species Conservation. IEEE Trans. Syst. Man Cybern. Syst. Junzhong Ji, Tongxuan Wu, Cuicui Yang
2024	J	`jnl`	Neural population dynamics optimization algorithm: A novel brain-inspired meta-heuristic method. Knowl. Based Syst. Junzhong Ji, Tongxuan Wu, Cuicui Yang
2024	J	`jnl`	Prior tissue knowledge-driven contrastive learning for brain CT report generation. Multim. Syst. Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang, Huimin Xu
2024	J	`jnl`	River runoff causal discovery with deep reinforcement learning. Appl. Intell. Junzhong Ji, Ting Wang, Jinduo Liu, Muhua Wang, Wei Tang
2024	—	`conf`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. EMNLP (Findings) Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	J	`jnl`	See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning. CoRR Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang, Liangqiong Qu
2024	A	`conf`	Spatio-Temporal Transformer Network with Physical Knowledge Distillation for Weather Forecasting. CIKM Jing He, Junzhong Ji, Minglong Lei
2023	J	`jnl`	A Survey on Brain Effective Connectivity Network Learning. IEEE Trans. Neural Networks Learn. Syst. Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song
2023	J	`jnl`	A dual decomposition strategy for large-scale multiobjective evolutionary optimization. Neural Comput. Appl. Cuicui Yang, Peike Wang, Junzhong Ji
2023	—	`conf`	Adaptive particle swarm architecture search based on multi-level convolutions for functional brain network classification. BIBM Xingyu Wang, Junzhong Ji
2023	J	`jnl`	Convolutional architecture search based on particle swarm algorithm for functional brain network classification. Appl. Soft Comput. Junzhong Ji, Xingyu Wang
2023	J	`jnl`	Deep Hashing Mutual Learning for Brain Network Classification. IEEE J. Biomed. Health Informatics Junzhong Ji, Yaqin Zhang
2023	J	`jnl`	Dual ant colony optimization for electric vehicle charging infrastructure planning. Appl. Intell. Junzhong Ji, Yuefeng Liu, Cuicui Yang
2023	J	`jnl`	Fast Progressive Differentiable Architecture Search based on adaptive task granularity reorganization. Inf. Sci. Junzhong Ji, Xingyu Wang
2023	A*	`conf`	Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation. EMNLP Yanzhao Shi, Junzhong Ji, Xiaodan Zhang, Liangqiong Qu, Ying Liu
2023	J	`jnl`	Multi-scale Superpixel based Hierarchical Attention model for brain CT classification. J. Vis. Commun. Image Represent. Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu
2023	J	`jnl`	Self-Supervised Spatiotemporal Graph Neural Networks With Self-Distillation for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. Junzhong Ji, Fan Yu, Minglong Lei
2023	J	`jnl`	Supervised Contrastive Learning With Structure Inference for Graph Classification. IEEE Trans. Netw. Sci. Eng. Junzhong Ji, Hao Jia, Yating Ren, Minglong Lei
2023	J	`jnl`	Tri-objective optimization-based cascade ensemble pruning for deep forest. Pattern Recognit. Junzhong Ji, Junwei Li
2023	J	`jnl`	Two-stage species conservation for multimodal multi-objective optimization with local Pareto sets. Inf. Sci. Cuicui Yang, Tongxuan Wu, Junzhong Ji
2023	J	`jnl`	Weakly guided attention model with hierarchical interaction for brain CT report generation. Comput. Biol. Medicine Xiaodan Zhang, Sisi Yang, Yanzhao Shi, Junzhong Ji, Ying Liu, Zheng Wang, Huimin Xu
2022	J	`jnl`	A knowledge guided bacterial foraging optimization algorithm for many-objective optimization problems. Neural Comput. Appl. Cuicui Yang, Yannan Weng, Junzhong Ji, Tongxuan Wu
2022	J	`jnl`	A multi-resolution grid-based bacterial foraging optimization algorithm for multi-objective optimization problems. Swarm Evol. Comput. Junzhong Ji, Yannan Weng, Cuicui Yang, Tongxuan Wu
2022	J	`jnl`	A novel CNN framework to extract multi-level modular features for the classification of brain networks. Appl. Intell. Junzhong Ji, Yao Yao
2022	—	`conf`	Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai
2022	J	`jnl`	Convolutional Neural Network With Sparse Strategies to Classify Dynamic Functional Connectivity. IEEE J. Biomed. Health Informatics Junzhong Ji, Zhihui Chen, Cuicui Yang
2022	B	`conf`	Cross-modal Contrastive Attention Model for Medical Report Generation. COLING Xiao Song, Xiaodan Zhang, Junzhong Ji, Ying Liu, Pengxu Wei
2022	J	`jnl`	Deep Forest With Multi-Channel Message Passing and Neighborhood Aggregation Mechanisms for Brain Network Classification. IEEE J. Biomed. Health Informatics Junzhong Ji, Junwei Li
2022	—	`conf`	Deep Forest with Sparse Topological Feature Extraction and Hash Mapping for Brain Network Classification. PRICAI (1) Junwei Li, Junzhong Ji
2022	J	`jnl`	FC-HAT: Hypergraph attention network for functional brain network classification. Inf. Sci. Junzhong Ji, Yating Ren, Minglong Lei
2022	J	`jnl`	Functional Brain Network Classification Based on Deep Graph Hashing Learning. IEEE Trans. Medical Imaging Junzhong Ji, Yaqin Zhang
2022	J	`jnl`	Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang
2022	J	`jnl`	Relation constraint self-attention for image captioning. Neurocomputing Junzhong Ji, Mingzhan Wang, Xiaodan Zhang, Minglong Lei, Liangqiong Qu
2022	J	`jnl`	Sparse data augmentation based on encoderforest for brain network classification. Appl. Intell. Junzhong Ji, Zihan Wang, Xiaodan Zhang, Junwei Li
2022	J	`jnl`	Supervised Contrastive Learning with Structure Inference for Graph Classification. CoRR Hao Jia, Junzhong Ji, Minglong Lei
2021	J	`jnl`	Convolutional Neural Network With Graphical Lasso to Extract Sparse Topological Features for Brain Disease Classification. IEEE ACM Trans. Comput. Biol. Bioinform. Junzhong Ji, Yao Yao
2021	J	`jnl`	Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns. Pattern Recognit. Junzhong Ji, Xinying Xing, Yao Yao, Junwei Li, Xiaodan Zhang
2021	J	`jnl`	Deep attributed graph clustering with self-separation regularization and parameter-free cluster estimation. Neural Networks Junzhong Ji, Ye Liang, Minglong Lei
2021	J	`jnl`	Divergent-convergent attention for image captioning. Pattern Recognit. Junzhong Ji, Zhuoran Du, Xiaodan Zhang
2021	J	`jnl`	Estimating Effective Connectivity by Recurrent Generative Adversarial Networks. IEEE Trans. Medical Imaging Junzhong Ji, Jinduo Liu, Lu Han, Feipeng Wang
2021	J	`jnl`	HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks. Appl. Intell. Junzhong Ji, Hanghang Xiao, Cuicui Yang
2021	—	`conf`	Learning brain effective connectivity networks via controllable variational autoencoder. BIBM Aixiao Zou, Junzhong Ji
2021	J	`jnl`	Multi-task Self-distillation for Graph-based Semi-Supervised Learning. CoRR Yating Ren, Junzhong Ji, Lingfeng Niu, Minglong Lei
2021	—	`conf`	Weakly Guided Hierarchical Encoder-Decoder Network for Brain CT Report Generation. BIBM Sisi Yang, Junzhong Ji, Xiaodan Zhang, Ying Liu, Zheng Wang
2020	C	`conf`	A New Diversity Maintenance Strategy based on the Double Granularity Grid for Multiobjective Optimization. ICPRAM Junzhong Ji, Yannan Weng, Cuicui Yang
2020	A*	`conf`	EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
2020	J	`jnl`	Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. IEEE J. Biomed. Health Informatics Jinduo Liu, Junzhong Ji, Xiuqin Jia, Aidong Zhang
2020	J	`jnl`	Spatio-Temporal Memory Attention for Image Captioning. IEEE Trans. Image Process. Junzhong Ji, Cheng Xu, Xiaodan Zhang, Boyue Wang, Xinhang Song
2020	J	`jnl`	Stability analysis of chemotaxis dynamics in bacterial foraging optimization over multi-dimensional objective functions. Soft Comput. Cuicui Yang, Junzhong Ji, Sanjiang Li
2019	J	`jnl`	Artificial bee colony clustering with self-adaptive crossover and stepwise search for brain functional parcellation in fMRI data. Soft Comput. Xuewu Zhao, Junzhong Ji, Aidong Zhang
2019	—	`conf`	Convolutional Neural Network with an Element-wise Filter to Classify Dynamic Functional Connectivity. BIBM Zhihui Chen, Junzhong Ji, Yin Liang
2019	—	`conf`	Deep Forest with Cross-shaped Window Scanning Mechanism to Extract Topological Features. BIBM Junwei Li, Junzhong Ji, Yin Liang, Xiaodan Zhang, Zihan Wang
2019	J	`jnl`	Dynamic brain functional parcellation via sliding window and artificial bee colony algorithm. Appl. Intell. Xuewu Zhao, Junzhong Ji, Xing Wang
2019	—	`conf`	Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang
2018	J	`jnl`	BFO-FMD: bacterial foraging optimization for functional module detection in protein-protein interaction networks. Soft Comput. Cuicui Yang, Junzhong Ji, Aidong Zhang
2018	J	`jnl`	Biomedical semantic indexing by deep neural network with multi-task learning. BMC Bioinform. Yongping Du, Yunpeng Pan, Chencheng Wang, Junzhong Ji
2018	—	`conf`	Convolutional Neural Network with Element-wise Filters to Extract Hierarchical Topological Features for Brain Networks. BIBM Xinying Xing, Junzhong Ji, Yao Yao
2018	—	`conf`	Hierarchical Multi-layer Transfer Learning Model for Biomedical Question Answering. BIBM Yongping Du, Bingbing Pei, Xiaozheng Zhao, Junzhong Ji
2018	J	`jnl`	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 Lei Feng, Junzhong Ji, Chensheng Wu
2017	J	`jnl`	A comparative study on swarm intelligence for structure learning of Bayesian networks. Soft Comput. Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin
2017	—	`conf`	A novel serial deep multi-task learning model for large scale biomedical semantic indexing. BIBM Yongping Du, Yunpeng Pan, Junzhong Ji
2017	—	`conf`	Insula Functional Parcellation from FMRI Data via Improved Artificial Bee-Colony Clustering. BI Xuewu Zhao, Junzhong Ji, Yao Yao
2016	J	`jnl`	A Multiagent Evolutionary Method for Detecting Communities in Complex Networks. Comput. Intell. Junzhong Ji, Lang Jiao, Cuicui Yang, Jiming Liu
2016	—	`conf`	An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. BIBM Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang
2016	—	`conf`	Bacterial biological mechanisms for functional module detection in PPI networks. BIBM Cuicui Yang, Junzhong Ji, Aidong Zhang
2016	J	`jnl`	Bacterial foraging optimization using novel chemotaxis and conjugation strategies. Inf. Sci. Cuicui Yang, Junzhong Ji, Jiming Liu, Baocai Yin
2016	J	`jnl`	Detecting Functional Modules Based on a Multiple-Grain Model in Large-Scale Protein-Protein Interaction Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Junzhong Ji, Jia Wei Lv, Cuicui Yang, Aidong Zhang
2016	C	`conf`	Identifying Protein Complexes Method Based on Time-Sequenced Association and Ant Colony Clustering in Dynamic PPI Networks. BIBE Cuicui Yang, Junzhong Ji, Jia Wei Lv
2016	C	`conf`	Multiobjective Bacterial Foraging Optimization using Archive Strategy. ICPRAM Cuicui Yang, Junzhong Ji
2016	J	`jnl`	Structural learning of Bayesian networks by bacterial foraging optimization. Int. J. Approx. Reason. Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin
2015	J	`jnl`	ACC-FMD: ant colony clustering for functional module detection in protein-protein interaction networks. Int. J. Data Min. Bioinform. Junzhong Ji, Hongxin Liu, Aidong Zhang, Zhijun Liu, Chunnian Liu
2014	—	`conf`	Ant Colony Clustering Approach Combined with Multilevel Framework for Functional Module Detection in Large-Scale PPI Networks. WI-IAT (3) Hongxin Liu, Junzhong Ji, Cuicui Yang, Jia Wei Lv, Xiuzhen Zhang
2014	B	`conf`	Ant colony clustering based on sampling for community detection. IEEE Congress on Evolutionary Computation Xiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang
2014	J	`jnl`	MAE-FMD: Multi-agent evolutionary method for functional module detection in protein-protein interaction networks. BMC Bioinform. Junzhong Ji, Lang Jiao, Cuicui Yang, Jia Wei Lv, Aidong Zhang
2014	J	`jnl`	Survey: Functional Module Detection from Protein-Protein Interaction Networks. IEEE Trans. Knowl. Data Eng. Junzhong Ji, Aidong Zhang, Chunnian Liu, Xiaomei Quan, Zhijun Liu
2013	J	`jnl`	An artificial bee colony algorithm for learning Bayesian networks. Soft Comput. Junzhong Ji, Hongkai Wei, Chunnian Liu
2013	J	`jnl`	HAM-FMD: Mining functional modules in protein-protein interaction networks using ant colony optimization and multi-agent evolution. Neurocomputing Junzhong Ji, Zhijun Liu, Aidong Zhang, Cuicui Yang, Chunnian Liu
2012	J	`jnl`	An Entropy-Based Multiobjective Evolutionary Algorithm with an Enhanced Elite Mechanism. Appl. Comput. Intell. Soft Comput. Yufang Qin, Junzhong Ji, Chunnian Liu
2012	—	`conf`	Ant Colony Optimization with Multi-Agent Evolution for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (LNCS) Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu
2012	—	`conf`	Improved Ant Colony Optimization for Detecting Functional Modules in Protein-Protein Interaction Networks. ICICA (2) Junzhong Ji, Zhijun Liu, Aidong Zhang, Lang Jiao, Chunnian Liu
2011	—	`conf`	A Novel Artificial Bee Colony Algorithm Based on Attraction Pheromone for the Multidimensional Knapsack Problems. AICI (2) Hongkai Wei, Junzhong Ji, Yufang Qin, Yamin Wang, Chunnian Liu
2011	Misc	`conf`	A fast and elitist grid selection evolutionary algorithm for Multi-objective Optimization: GSEA. ICNC Yufang Qin, Junzhong Ji, Yang Song, Yamin Wang, Chunnian Liu
2011	J	`jnl`	A hybrid method for learning Bayesian networks based on ant colony optimization. Appl. Soft Comput. Junzhong Ji, Renbing Hu, Hongxun Zhang, Chunnian Liu
2010	—	`conf`	Enhancing MOEA with component-emphasizing mechanism for multi-objective optimization. BIC-TA Yang Song, Junzhong Ji, Chunnian Liu
2009	—	`conf`	A New Evolutionary Algorithm for Solving Multiobjective Optimization. ICNC (4) Yang Song, Junzhong Ji, Yamin Wang, Chunnian Liu
2008	—	`conf`	A New Mechanism of Pheromone Increment and Diffusion for Solving Travelling Salesman Problems with Ant Colony Algorithm. ICNC (7) Junzhong Ji, Zheng Huang, Yamin Wang, Chunnian Liu
2008	J	`jnl`	A state-of-the-practice study on communication and coordination between chinese software suppliers and their global outsourcers. Softw. Process. Improv. Pract. Jianqiang Ma, Jingyue Li, Weibing Chen, Reidar Conradi, Junzhong Ji, Chunnian Liu
2008	J	`jnl`	An empirical study on software development with open source components in the chinese software industry. Softw. Process. Improv. Pract. Weibing Chen, Jingyue Li, Jianqiang Ma, Reidar Conradi, Junzhong Ji, Chunnian Liu
2008	A	`conf`	Some lessons learned in conducting software engineering surveys in china. ESEM Junzhong Ji, Jingyue Li, Reidar Conradi, Chunnian Liu, Jianqiang Ma, Weibing Chen
2007	—	`conf`	A Survey of Software Development with Open Source Components in Chinese Software Industry. ICSP Weibing Chen, Jingyue Li, Jianqiang Ma, Reidar Conradi, Junzhong Ji, Chunnian Liu
2007	C	`conf`	A Survey on the Business Relationship between Chinese Outsourcing Software Suppliers and Their Outsourcers. APSEC Jingyue Li, Jianqiang Ma, Reidar Conradi, Weibing Chen, Junzhong Ji, Chunnian Liu
2007	—	`conf`	An Ant Colony Optimization Algorithm for Solving the Multidimensional Knapsack Problems. IAT Junzhong Ji, Zhen Huang, Chunnian Liu, Xuejing Liu, Ning Zhong
2007	B	`conf`	An Industrial Survey of Software Outsourcing in China. PROFES Jianqiang Ma, Jingyue Li, Weibing Chen, Reidar Conradi, Junzhong Ji, Chunnian Liu
2007	J	`jnl`	An improved Bayesian network structure learning algorithm and its application in an intelligent B2C portal. Web Intell. Agent Syst. Junzhong Ji, Chunnian Liu, Lisa Jing Yan, Ning Zhong
2006	—	`conf`	A New Method for Classifying Customer Purchasing Power. AMT Junzhong Ji, Fan Chen, Chunnian Liu
2006	—	`conf`	An Ant Colony Optimization Algorithm for Learning Classification Rules. Web Intelligence Junzhong Ji, Ning Zhang, Chunnian Liu, Ning Zhong
2005	—	`conf`	An improved Bayesian networks learning algorithm based on independence test and MDL scoring. AMT Junzhong Ji, Jing Yan, Chunnian Liu, Ning Zhong
2005	J	`jnl`	Personalized recommendation based on a multilevel customer model. Int. J. Pattern Recognit. Artif. Intell. Junzhong Ji, Chunnian Liu, Zhiqiang Sha, Ning Zhong
2004	—	`conf`	Bayesian Networks Structure Learning and Its Application to Personalized Recommendation in a B2C Portal. Web Intelligence Junzhong Ji, Chunnian Liu, Lisa Jing Yan, Ning Zhong
2003	—	`conf`	Online Recommendation Based on Customer Shopping Model in E-Commerce. Web Intelligence Junzhong Ji, Zhiqiang Sha, Chunnian Liu, Ning Zhong
2002	—	`conf`	WebMath: A Web-Based ITS System. ICWL Chunnian Liu, Lei Zheng, Junzhong Ji, Dong Jia, Chuan Jiang, Wensheng Yang
2001	—	`conf`	Electronic Homework on the WWW. Web Intelligence Chunnian Liu, Lei Zheng, Junzhong Ji, Chengzhong Yang, Jingyue Li, Wensheng Yang
2001	—	`conf`	The Intelligent Electronic Shopping System Based on Bayesian Customer Modeling. Web Intelligence Junzhong Ji, Lei Zheng, Chunnian Liu