Kun Yue

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 91

Top Venues

GCCE

Knowl. Based Syst.

Appl. Intell.

Future Gener. Comput. Syst.

Publications

Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li
Structural Entropy Based Graph Structure Learning for Node Classification. AAAI (2024)
Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan
Similarity search on social networks with incremental graph indexing based on probabilistic inference. Int. J. Web Inf. Syst. 20 (4) (2024)
Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu
Learning a Bayesian network with multiple latent variables for implicit relation representation. Data Min. Knowl. Discov. 38 (4) (2024)
Kun Yue
Application of EEUC-based inter aircraft ultraviolet communication network algorithm in energy consumption optimization of drone swarm. Energy Inform. 7 (1) (2024)
Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. CollaborateCom (2) (2023)
Zhengbao Sun, Hongyu Pan, Kun Yue
Generative Adversarial Network Based NDVI Super-resolution Reconstruction. GCCE (2023)
Li Xu, Jun Zeng, Weile Peng, Hao Wu, Kun Yue, Haiyan Ding, Lei Zhang, Xin Wang
Modeling and predicting user preferences with multiple item attributes for sequential recommendations. Knowl. Based Syst. 260 (2023)
Jun Zhang, Kun Yue
Structural Entropy Based Graph Node Classification. GCCE (2023)
Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang
Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. Data Sci. Eng. 8 (4) (2023)
Na Zhang, Kun Yue, Chao Fang
A Game-Theoretic Framework for AI Governance. CoRR (2023)
Jianyu Li, Kun Yue
Relevance Search over Knowledge Graph with User-entity Interaction Data. GCCE (2023)
Zhongbin Li, Liang Duan, Kun Yue
Efficient Inference of Markov Logic Network for Link Prediction. GCCE (2023)
Xinran Wu, Xiang Chen, Kun Yue
Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data. AICAS (2023)
Zidu Yin, Kun Yue
Temporal resonant graph network for representation learning on dynamic graphs. Appl. Intell. 53 (7) (2023)
Guowu Yuan, Kun Yue, Kuang Hu
Practical Teaching Reform of Programming Courses Based on Online Coding Platforms. ICCSE (2) (2023)
Shaojie Qiao, Nan Han, Faliang Huang, Kun Yue, Tao Wu, Yugen Yi, Rui Mao, Chang-an Yuan
LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. Appl. Intell. 52 (7) (2022)
Yirong Kan, Kun Yue, Hao Wu, Xiaodong Fu, Zhengbao Sun
Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 30 (2) (2022)
Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR (2022)
Jiahui Wang, Kun Yue, Liang Duan
An Approach for Domain Relation Extraction. GCCE (2022)
Kuang Hu, Kun Yue
Convolutional Neural Network Based Detection of Seasonal Features in Time Series Data. GCCE (2022)
Kun Yue
Breaking down the Barrier between Teachers and Students by Using Metaverse Technology in Education: Based on A Survey and Analysis of Shenzhen City, China. IC4E (2022)
Weiyi Liu, Kun Yue, Jianyu Li, Jie Li, Jin Li, Zhijian Zhang
Inferring range of information diffusion based on historical frequent items. Data Min. Knowl. Discov. 36 (1) (2022)
Hao Wu, Yunhao Duan, Kun Yue, Lei Zhang
Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. IEEE Trans. Serv. Comput. 15 (6) (2022)
Zhengbao Sun, Kun Yue, Lizhen Wang, Siyang Guo
Reconstructing NDVI Time Series by Spatio-temporal Feature Fusion. GCCE (2022)
Shanna Zhong, Kun Yue, Liang Duan
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. WISE (2022)
Zhiwei Qi, Kun Yue
Similarity Search with Graph Index on Bayesian Network Embedding. GCCE (2022)
Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang
Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. Inf. Sci. 590 (2022)
Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao
An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. Knowl. Based Syst. 239 (2022)
Nan Han, Shaojie Qiao, Kun Yue, Jianbin Huang, Qiang He, Tingting Tang, Faliang Huang, Chunlin He, Chang-an Yuan
Algorithms for Trajectory Points Clustering in Location-based Social Networks. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li
Mutual information based Bayesian graph neural network for few-shot learning. UAI (2022)
Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang
Similarity Search with Graph Index on Directed Social Network Embedding. ICWE (2022)
Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu
Transfer learning of Bayesian network for measuring QoS of virtual machines. Appl. Intell. 51 (12) (2021)
Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu
Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes. Clust. Comput. 24 (2) (2021)
Jianyu Li, Kun Yue, Jie Li, Liang Duan
A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. APWeb/WAIM (2) (2021)
Jiaoling Zheng, Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Qiang He, Shengjie Min, Guanghua Ying, Xindong Wu
Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data. Knowl. Based Syst. 228 (2021)
Zejun Han, Hongwei Ding, Kun Yue, Liyong Bao, Zhijun Yang
New type NP-CSMA of adaptive multi-priority control WSN protocol analysis. Int. J. Reason. based Intell. Syst. 13 (1) (2021)
Shaojie Qiao, Guo-Ping Yang, Nan Han, Hao Chen, Faliang Huang, Kun Yue, Yugen Yi, Changan Yuan
Cardinality Estimator: Processing SQL with a Vertical Scanning Convolutional Neural Network. J. Comput. Sci. Technol. 36 (4) (2021)
Xiaodong Fu, Kun Yue, Li Liu, Yong Feng, Lijun Liu
Reputation Measurement for Online Services Based on Dominance Relationships. IEEE Trans. Serv. Comput. 14 (4) (2021)
Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie
netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis. PLoS Comput. Biol. 17 (6) (2021)
Jie Li, Kun Yue, Liang Duan, Jianyu Li
Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. DASFAA (1) (2021)
Jingru Wang, Jin Li, Kun Yue, Li Wang, Yuyun Ma, Qing Li
NMCMDA: neural multicategory MiRNA-disease association prediction. Briefings Bioinform. 22 (5) (2021)
Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu
Matrix factorization based Bayesian network embedding for efficient probabilistic inferences. Expert Syst. Appl. 169 (2021)
Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Rui Mao, Hongping Shu, Qiang He, Xindong Wu
A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model. ACM Trans. Intell. Syst. Technol. 12 (6) (2021)
Xiaoming Ye, Shaojie Qiao, Nan Han, Kun Yue, Tao Wu, Li Yang, Faliang Huang, Chang-an Yuan
Algorithm for detecting anomalous hosts based on group activity evolution. Knowl. Based Syst. 214 (2021)
Hao Wu, Zhengxin Zhang, Jiacheng Luo, Kun Yue, Ching-Hsien Hsu
Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. IEEE Trans. Serv. Comput. 14 (4) (2021)
Kun Yue, Xinran Wu, Liang Duan, Shaojie Qiao, Hao Wu
A parallel and constraint induced approach to modeling user preference from rating data. Knowl. Based Syst. 204 (2020)
Yan Fang, Zhiwei Qi, Kun Yue
Learning and Deduction of Rules for Knowledge Graph Completion. ICBDC (2020)
Kaiyu Song, Kun Yue, Xinran Wu, Jia Hao
An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM. CollaborateCom (1) (2020)
Kun Yue, Jiahui Wang, Xinbai Li, Kuang Hu
Representation-Based Completion of Knowledge Graph with Open-World Data. ICCCS (2020)
Biaoqi Li, Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu, Yong Feng
PoW-Based Sybil Attack Resistant Model for P2P Reputation Systems. BlockSys (2020)
Xi Xiong, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Rong-Hua Li, Kun Yue, Guan Yuan
Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. Neurocomputing 373 (2020)
Nan Han, Shaojie Qiao, Guan Yuan, Rui Mao, Kun Yue, Changan Yuan
A novel handover detection model via frequent trajectory patterns mining. Int. J. Mach. Learn. Cybern. 11 (12) (2020)
Xiaodong Fu, Li Liu, Lijun Liu, Yong Feng, Kun Yue
Ordinal Preferences Driven Reputation Measurement for Online Services with User Incentive. ICWS (2020)
Kun Yue, Xiaoyu Wang, Jay Jadav, Akshay Vartak, Alice C. Parker
Analog Neurons that Signal with Spiking Frequencies. ICONS (2019)
Nan Han, Shaojie Qiao, Guan Yuan, Ping Huang, Dingxiang Liu, Kun Yue
A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization. Artif. Intell. Medicine 101 (2019)
Dapeng Tao, Jun Cheng, Zhengtao Yu, Kun Yue, Lizhen Wang
Domain-Weighted Majority Voting for Crowdsourcing. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Binbin Zhang, Juan Wang, Kun Yue, Hao Wu, Jia Hao
基于随机森林的虚拟机性能预测与配置优化 (Performance Prediction and Configuration Optimization of Virtual Machines Based on Random Forest). 计算机科学 46 (9) (2019)
Kun Yue, Alice C. Parker
Analog Neurons with Dopamine-Modulated STDP. BioCAS (2019)
Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun
A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. DASFAA Workshops (2019)
Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei
Meta-path Based MiRNA-Disease Association Prediction. DASFAA Workshops (2019)
Qimin Zhou, Hao Wu, Kun Yue, Ching-Hsien Hsu
Spatio-temporal context-aware collaborative QoS prediction. Future Gener. Comput. Syst. 100 (2019)
Kun Yue, Rebecca K. Lee, Alice C. Parker
Simulation Studies of Neuronal Modulation Using Magneto-electric Nanoparticles for Astrocyte Stimulation. NER (2019)
Weiyi Liu, Kun Yue, MingLiang Yue, Zidu Yin, Binbin Zhang
A Bayesian Network-Based Approach for Incremental Learning of Uncertain Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26 (1) (2018)
Weiyi Liu, Kun Yue, Hao Wu, Xiaodong Fu, Zhijian Zhang, Weipeng Huang
Markov-network based latent link analysis for community detection in social behavioral interactions. Appl. Intell. 48 (8) (2018)
Hao Wu, Kun Yue, Bo Li, Binbin Zhang, Ching-Hsien Hsu
Collaborative QoS prediction with context-sensitive matrix factorization. Future Gener. Comput. Syst. 82 (2018)
Zidu Yin, Kun Yue, Hao Wu, Yingjie Su
Adaptive and Parallel Data Acquisition from Online Big Graphs. DASFAA (1) (2018)
Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu
An Estimation Framework of Node Contribution Based on Diffusion Information. APWeb/WAIM (1) (2018)
Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Jun He, Liangchen Sun
Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowl. Based Syst. 145 (2018)
Jia Hao, Binbin Zhang, Kun Yue, Hao Wu, Jixian Zhang
Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables. Int. J. Commun. Syst. 31 (13) (2018)
Hao Wu, Kun Yue, Ching-Hsien Hsu, Yiji Zhao, Binbin Zhang, Guoying Zhang
Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. Future Gener. Comput. Syst. 76 (2017)
Wenhua Qian, Dan Xu, Kun Yue, Zheng Guan, Yuanyuan Pu, Yongjie Shi
Gourd pyrography art simulating based on non-photorealistic rendering. Multim. Tools Appl. 76 (13) (2017)
Kun Yue, Hao Wu, Xiaodong Fu, Juan Xu, Zidu Yin, Weiyi Liu
A data-intensive approach for discovering user similarities in social behavioral interactions based on the bayesian network. Neurocomputing 219 (2017)
Jia Hao, Binbin Zhang, Kun Yue, Juan Wang, Hao Wu
Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network. ICCCS (2) (2017)
Kun Yue, Alice C. Parker
Noisy neuromorphic neurons with RPG on-chip noise source. IJCNN (2017)
Wenhua Qian, Dan Xu, Zheng Guan, Kun Yue, Yuanyuan Pu
Simulating Chalk Art Style Painting. Int. J. Pattern Recognit. Artif. Intell. 31 (12) (2017)
Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Ruichao Zhu
Content Embedding Regularized Matrix Factorization for Recommender Systems. BigData Congress (2017)
Zhijian Zhang, Kun Yue, Zhengbao Sun, Ling Liu, Weiyi Liu
Locating Sources in Online Social Networks via Random Walk. BigData Congress (2017)
Hong Wu, Zhijian Zhang, Kun Yue, Binbin Zhang, Weiyi Liu
Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing. APWeb Workshops (2016)
Ke Yang, Kun Yue, Hong Wu, Jin Li, Weiyi Liu
Evolutionary Analysis and Computing of the Financial Safety Net. MIWAI (2016)
Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu
Aggregating Ordinal User Preferences for Effective Reputation Computation of Online Services. ICWS (2016)
Weiyi Liu, Kun Yue, Xiaodong Fu, Zidu Yin, Jin Li
Multi-Objective Oriented Categorization Based on the Coalitional Game Theory. Int. J. Artif. Intell. Tools 25 (3) (2016)
Weiyi Liu, Kun Yue, Hong Wu, Jin Li, Donghua Liu, Duanping Tang
Containment of competitive influence spread in social networks. Knowl. Based Syst. 109 (2016)
Xiaoyi Duan, Cheqing Jin, Xiaoling Wang, Aoying Zhou, Kun Yue
Real-Time Personalized Taxi-Sharing. DASFAA (2) (2016)
Renshang Gao, Kun Yue, Hao Wu, Binbin Zhang, Xiaodong Fu
Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variable. WAIM Workshops (2016)
Saeid Barzegarjalali, Kun Yue, Alice C. Parker
Noisy neuromorphic circuit modeling Obsessive Compulsive Disorder. SoCC (2016)
Hong Wu, Kun Yue, Xiaodong Fu, Yujie Wang, Weiyi Liu
Parallel Seed Selection for Influence Maximization Based on k-shell Decomposition. CollaborateCom (2016)
Ying Chen, Xiaodong Fu, Kun Yue, Li Liu, Li-jun Liu
Ranking Online Services by Aggregating Ordinal Preferences. WAIM Workshops (2016)
Yanan Guo, Dapeng Tao, Jun Cheng, Alan William Dougherty, Yaotang Li, Kun Yue, Bob Zhang
Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition. IEEE Trans. Multim. 18 (10) (2016)
Hong Wu, Weiyi Liu, Kun Yue, Jin Li, Weipeng Huang
Selecting Seeds for Competitive Influence Spread Maximization in Social Networks. ICYCSEE (1) (2016)
Hao Wu, Kun Yue, Yijian Pei, Bo Li, Yiji Zhao, Fan Dong
Collaborative Topic Regression with social trust ensemble for recommendation in social media systems. Knowl. Based Syst. 97 (2016)
Zhijian Zhang, Hong Wu, Kun Yue, Jin Li, Weiyi Liu
Influence Maximization for Cascade Model with Diffusion Decay in Social Networks. ICYCSEE (1) (2016)
Kun Yue, Hao Wu, Weiyi Liu, Yun-Lei Zhu
Representing and processing lineages over uncertain data based on the Bayesian network. Appl. Soft Comput. 37 (2015)
Hao Wu, Kun Yue, Xiaoxin Liu, Yijian Pei, Bo Li
Context-Aware Recommendation via Graph-Based Contextual Modeling and Postfiltering. Int. J. Distributed Sens. Networks 11 (2015)
Xiaodong Fu, Kun Yue, Li Liu, Ping Zou, Yong Feng
Discovering admissible Web services with uncertain QoS. Frontiers Comput. Sci. 9 (2) (2015)
Xiaosa Wang, Xiaodong Fu, Li Liu, Qingsong Huang, Kun Yue
A Probabilistic Approach to Analyzing the Stochastic QoS of Web Service Composition. IEEE WISA (2015)
Kun Yue, Qiyu Fang, Xiaoling Wang, Jin Li, Weiyi Liu
A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks. IEEE Trans. Cybern. 45 (12) (2015)
Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu
Tracing Errors in Probabilistic Databases Based on the Bayesian Network. DASFAA (2) (2015)
Hong Wu, Weiyi Liu, Kun Yue, Weipeng Huang, Ke Yang
Maximizing the Spread of Competitive Influence in a Social Network Oriented to Viral Marketing. WAIM (2015)
Jie Liu, Xiaodong Fu, Li Liu, Kun Yue
What Makes a Good Review: Analyzing Reviews on JD.com. ICSS (2015)
Jixian Zhang, Kun Yue, Guowu Yuan, Binbin Zhang
Grid fill algorithm for vector graphics render on mobile devices. ICMV (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kun Yue