Kun Guo

According to our database, Kun Guo authored at least 63 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Evolutionary Computing Empowered Community Detection in Attributed Networks.

Kun Guo, Zhanhong Chen, Zhiyong Yu, Kai Chen, Wenzhong Guo

IEEE Commun. Mag., May, 2024

MPNet: temporal knowledge graph completion based on a multi-policy network.

Jingbin Wang, Renfei Wu, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo

Appl. Intell., February, 2024

Privacy-Preserving Multi-Label Propagation Based on Federated Learning.

Kun Guo, Dangrun Chen, Qingqing Huang, Fuan Li, Chen Guo, Duanji Wu, Ximeng Liu, Kai Chen

IEEE Trans. Netw. Sci. Eng., 2024

Open Knowledge Graph Link Prediction with Semantic-Aware Embedding.

Jingbin Wang, Hao Huang, Yuwei Wu, Fuyuan Zhang, Sirui Zhang, Kun Guo

Expert Syst. Appl., 2024

2023

Network Embedding Based on Biased Random Walk for Community Detection in Attributed Networks.

Kun Guo, Zizheng Zhao, Zhiyong Yu, Wenzhong Guo, Ronghua Lin, Yong Tang, Ling Wu

IEEE Trans. Comput. Soc. Syst., October, 2023

An autoencoder considering multi-order and structural-role similarity for community detection in attributed networks.

Kun Guo, Gaosheng Lin, Ling Wu

Appl. Intell., September, 2023

Federated Clique Percolation for Privacy-preserving Overlapping Community Detection.

Kun Guo, Wenzhong Guo, Enjie Ye, Yutong Fang, Jiachen Zheng, Ximeng Liu, Kai Chen

ACM Trans. Intell. Syst. Technol., August, 2023

GLANet: temporal knowledge graph completion based on global and local information-aware network.

Jingbin Wang, Xinyu Lin, Hao Huang, Xifan Ke, Renfei Wu, Changkai You, Kun Guo

Appl. Intell., August, 2023

Embeddings based on relation-specific constraints for open world knowledge graph completion.

Jingbin Wang, Jing Lei, Shounan Sun, Kun Guo

Appl. Intell., June, 2023

An attentional-walk-based autoencoder for community detection.

Kun Guo, Peng Zhang, Wenzhong Guo, Yuzhong Chen

Appl. Intell., May, 2023

Community Detection Based on Multiobjective Particle Swarm Optimization and Graph Attention Variational Autoencoder.

Kun Guo, Zhanhong Chen, Xu Lin, Ling Wu, Zhi-Hui Zhan, Yuzhong Chen, Wenzhong Guo

IEEE Trans. Big Data, April, 2023

Efficient Vertical Federated Learning Method for Ridge Regression of Large-Scale Samples.

Jianping Cai, Ximeng Liu, Zhiyong Yu, Kun Guo, Jiayin Li

IEEE Trans. Emerg. Top. Comput., 2023

Globally Consistent Federated Graph Autoencoder for Non-IID Graphs.

Kun Guo, Yutong Fang, Qingqing Huang, Yuting Liang, Ziyao Zhang, Wenyu He, Liu Yang, Kai Chen, Ximeng Liu, Wenzhong Guo

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Enabling Load Balancing for Lossless Datacenters.

Jinbin Hu, Chaoliang Zeng, Zilong Wang, Junxue Zhang, Kun Guo, Hong Xu, Jiawei Huang, Kai Chen

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Tabi: An Efficient Multi-Level Inference System for Large Language Models.

Yiding Wang, Kai Chen, Haisheng Tan, Kun Guo

Proceedings of the Eighteenth European Conference on Computer Systems, 2023

2022

Discovering Overlapping Communities in Dynamic Networks Based on Cascade Information Diffusion.

Ling He, Wenzhong Guo, Yuzhong Chen, Kun Guo, Qifeng Zhuang

IEEE Trans. Comput. Soc. Syst., 2022

Network representation learning based on community-aware and adaptive random walk for overlapping community detection.

Kun Guo, Qinze Wang, Jiaqi Lin, Ling Wu, Wenzhong Guo, Kuo-Ming Chao

Appl. Intell., 2022

Local community detection algorithm based on local modularity density.

Kun Guo, Xintong Huang, Ling Wu, Yuzhong Chen

Appl. Intell., 2022

Practical and Secure Federated Recommendation with Personalized Mask.

Liu Yang, Junxue Zhang, Di Chai, Leye Wang, Kun Guo, Kai Chen, Qiang Yang

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Secure Forward Aggregation for Vertical Federated Neural Networks.

Shuowei Cai, Di Chai, Liu Yang, Junxue Zhang, Yilun Jin, Leye Wang, Kun Guo, Kai Chen

Proceedings of the Trustworthy Federated Learning - First International Workshop, 2022

Community Evolution Tracking Based on Core Node Extension and Edge Variation Discerning.

Qifeng Zhuang, Zhiyong Yu, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Horizontal Federated Traffic Speed Prediction Base on Secure Node Attribute Aggregation.

Enjie Ye, Kun Guo, Wenzhong Guo, Dangrun Chen, Zihan Zhang, Fuan Li, Jiachen Zheng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Community Detection Based on Enhancing Graph Autoencoder with Node Structural Role.

Ling Wu, Jinlong Yang, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Context-Aware Quaternion Embedding for Knowledge Graph Completion.

Jingbin Wang, Xinyi Yang, Xifan Ke, Renfei Wu, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Globally Consistent Vertical Federated Graph Autoencoder for Privacy-Preserving Community Detection.

Yutong Fang, Qingqing Huang, Enjie Ye, Wenzhong Guo, Kun Guo, Xiaoqi Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

A Unified Stream and Batch Graph Computing Model for Community Detection.

Jinkun Dai, Ling Wu, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

2021

Dynamic community detection method based on an improved evolutionary matrix.

Ling Wu, Qishan Zhang, Kun Guo, Erbao Chen, Chaoyang Xu

Concurr. Comput. Pract. Exp., 2021

A label propagation algorithm for community detection on high-mixed networks.

Qingshou Wu, Rongwang Chen, Lijin Wang, Kun Guo

Concurr. Comput. Pract. Exp., 2021

Memory network with hierarchical multi-head attention for aspect-based sentiment analysis.

Yuzhong Chen, Tianhao Zhuang, Kun Guo

Appl. Intell., 2021

A Random-Walk-Based Heterogeneous Attention Network for Community Detection.

Peng Zhang, Kun Guo, Ling Wu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Federated Multi-label Propagation Based on Neighbor Node Influence for Community Detection on Attributed Networks.

Panpan Yang, Kun Guo, Ximeng Liu, Yuzhong Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Federated Clique Percolation for Overlapping Community Detection on Attributed Networks.

Mingyang Wei, Kun Guo, Ximeng Liu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Attributed Network Embedding Based on Attributed-Subgraph-Based Random Walk for Community Detection.

Qinze Wang, Kun Guo, Ling Wu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Local Community Detection Algorithm Based on Core Area Expansion.

Pengyun Ji, Kun Guo, Zhiyong Yu

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

Adaptive Seed Expansion Based on Composite Similarity for Community Detection in Attributed Networks.

Wenju Chen, Kun Guo, Yuzhong Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

An Attention-Based Multiobjective Optimization Evolutionary Algorithm for Community Detection in Attributed Networks.

Xu Lin, Zhanhong Chen, Kun Guo, Yuzhong Chen

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

2020

A local community detection algorithm based on internal force between nodes.

Kun Guo, Ling He, Yuzhong Chen, Wenzhong Guo, Jianning Zheng

Appl. Intell., 2020

Deep Learning Techniques for Community Detection in Social Networks.

Ling Wu, Qishan Zhang, Chi-Hua Chen, Kun Guo, Deqin Wang

IEEE Access, 2020

A Distributed Storage Middleware Based on HBase and Redis.

Lingling Xu, Yuzhong Chen, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

An Overlapping Local Community Detection Algorithm Based on Node Transitivity and Modularity Density.

Xintong Huang, Ling Wu, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

A Two-Stage Graph Computation Model with Communication Equilibrium.

Yanmei Dong, Rongwang Chen, Kun Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

The Design and Implementation of KMeans Based on Unified Batch and Streaming Processing.

Hao Chen, Kun Guo, Yuzhong Chen, Hong Guo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2020

2019

Overlapping Community Discovery Based on the Combination of Node Influence and β-Connected Neighbors.

Rongwang Chen, Qingshou Wu, Wenzhong Guo, Kun Guo, Qinze Wang

Int. J. Cooperative Inf. Syst., 2019

Overlapping Community Detection Algorithm Based on Coarsening and Local Overlapping Modularity.

Zhanghui Liu, Bingjie Xiang, Wenzhong Guo, Yuzhong Chen, Kun Guo, Jianning Zheng

IEEE Access, 2019

Mixed Word Embedding Method Based on Knowledge Graph Augment for Text Classification.

Hongzhong Wang, Kun Guo, Zhanghui Liu

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Automatic Text Summarization Based on Transformer and Switchable Normalization.

Tao Luo, Kun Guo, Hong Guo

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Financial Big Data Hot and Cold Separation Scheme Based on HBase and Redis.

Kunhui Li, Kun Guo, Hong Guo

Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Research on Cloudlet Placement in Wireless Metropolitan Area Network.

Zhanghui Liu, Yongjie Zheng, Bing Lin, Xing Chen, Kun Guo, Yuchang Mo

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

A Graph Representation Learning Algorithm Based on Attention Mechanism and Node Similarity.

Kun Guo, Deqin Wang, Jiangsheng Huang, Yuzhong Chen, Zhihao Zhu, Jianning Zheng

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

A Local Dynamic Community Detection Algorithm Based on Node Contribution.

Kun Guo, Ling He, Jiangsheng Huang, Yuzhong Chen, Bing Lin

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

2018

An Overlapping Community Detection Algorithm Based on Triangle Coarsening and Dynamic Distance.

Bingjie Xiang, Kun Guo, Zhanghui Liu, Qinwu Liao

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

Overlapping Community Detection Algorithm Based on Spectral and Fuzzy C-Means Clustering.

Xiaoshan He, Kun Guo, Qinwu Liao, Qiaoling Yan

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017

A Discrete Artificial Bee Colony Algorithm for the Reverse Logistics Location and Routing Problem.

Kun Guo, Qishan Zhang

Int. J. Inf. Technol. Decis. Mak., 2017

Parallel Multi-Label Propagation Based on Influence Model and Its Application to Overlapping Community Discovery.

Qirong Qiu, Wenzhong Guo, Yuzhong Chen, Kun Guo, Rongrong Li

Int. J. Artif. Intell. Tools, 2017

Digging Deep Inside: An Extended Analysis of SCHOLAT E-Learning Data.

Aftab Akram, Chengzhou Fu, Yong Tang, Yuncheng Jiang, Kun Guo

Proceedings of the Human Centered Computing - Third International Conference, 2017

Overlapping Community Detection Based on Random Walk and Seeds Extension.

Zhiyong Yu, Jijie Chen, Kun Guo, Yuzhong Chen, Qian Xu

Proceedings of the 12th Chinese Conference on Computer Supported Cooperative Work and Social Computing, 2017

2016

A social community detection algorithm based on parallel grey label propagation.

Qishan Zhang, Qirong Qiu, Wenzhong Guo, Kun Guo, Naixue Xiong

Comput. Networks, 2016

2015

Community discovery by propagating local and global information based on the MapReduce model.

Kun Guo, Wenzhong Guo, Yuzhong Chen, Qirong Qiu, Qishan Zhang

Inf. Sci., 2015

Detecting communities in social networks by local affinity propagation with grey relational analysis.

Kun Guo, Qishan Zhang

Grey Syst. Theory Appl., 2015

Parallel Multi-label Propagation for Overlapping Community Detection in Large-Scale Networks.

Rongrong Li, Wenzhong Guo, Kun Guo, Qirong Qiu

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2015

2013

Fast clustering-based anonymization approaches with time constraints for data streams.

Kun Guo, Qishan Zhang

Knowl. Based Syst., 2013

2012

Privacy Preserving Method based on GM(1, 1) and its Application to Clustering.

Kun Guo, Qishan Zhang

Grey Syst. Theory Appl., 2012

2007

Research and Implementation of an Enterprise-Class MAS Application Development Framework-JadeEE.

Chaozhen Guo, Zhihong Lin, Kun Guo

Proceedings of the Computer Supported Cooperative Work in Design IV, 2007