Constraint Preserving XML Updating. - Kun Yue; Zhengchuan Xu; Zhimao Guo; Aoying Zhou (APWeb, 2003)

TREX: DTD-Conforming XML to XML Transformations. - Aoying Zhou; Qing Wang 006; Zhimao Guo; Xueqing Gong; Shihui Zheng; Hongwei Wu; Jianchang Xiao; Kun Yue; Wenfei Fan (SIGMOD Conference, 2003)

Efficient Community Management and Optimization Strategies of Web Services in Peer-to-Peer Environments. - Zhiming Pan; Yizhong Wu; Kun Yue; Xiaoling Wang 004; Aoying Zhou (APWeb, 2004)

Service Selection in Dynamic Demand-Driven Web Services. - Xiaoling Wang 004; Kun Yue; Joshua Zhexue Huang; Aoying Zhou (ICWS, 2004)

Capacity Planning for Composite Web Services Using Queueing Network-Based Models. - Dunlu Peng; Yang Yuan; Kun Yue; Xiaoling Wang 004; Aoying Zhou (WAIM, 2004)

A Framework of Web Service Composition for Distributed XML Query Evaluation. - Kun Yue; Weiyi Liu; Aoying Zhou (APWeb, 2005)

Modeling Web Services Based on the Bayesian Network. - Kun Yue; Weiyi Liu; Xiaoling Wang 004; Aoying Zhou (ASIAN, 2005)

An Approach for Solving Fuzzy Games. - Wei-Yi Liu; Jin Li 007; Kun Yue; Ning Song; Hong Yao (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2006)

Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. - Wei-Yi Liu; Jin Li 007; Kun Yue; Ning Song (ICNC (3), 2007)

Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. - Kun Yue; Weiyi Liu; Weihua Li 006 (APWeb/WAIM, 2007)

Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. - JiaDong Zhang; Kun Yue; Weiyi Liu (ADMA, 2008)

Learning-Function-Augmented Inferences of Causalities Implied in Health Data. - JiaDong Zhang; Kun Yue; Weiyi Liu (APWeb Workshops, 2008)

An adaptive Markov model for text categorization. - Jin Li 007; Kun Yue; Weiyi Liu (ISKE, 2008)

Recovering the Global Structure from Multiple Local Bayesian Networks. - Weihua Li 006; Weiyi Liu; Kun Yue (Int. J. Artif. Intell. Tools, 2008)

Qualitative-probabilistic-network-based modeling of temporal causalities and its application to feedback loop identification. - Wei-Yi Liu; Kun Yue; Shuang-Xian Liu; Yin-Bo Sun (Inf. Sci., 2008)

Representing and Inferring Causalities among Classes of Multidimensional Data. - Kun Yue; Mu-Jin Wei; Kai-Lin Tian; Wei-Yi Liu (APWeb/WAIM, 2009)

Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters. - Wei-Yi Liu; Kun Yue; Jing-Yu Su; Yu Yao (Expert Syst. Appl., 2009)

Augmenting learning function to Bayesian network inferences with maximum likelihood parameters. - Weiyi Liu; Kun Yue; JiaDong Zhang (Expert Syst. Appl., 2009)

Discovering semantic associations among Web services based on the qualitative probabilistic network. - Kun Yue; Weiyi Liu; Xiaoling Wang 004; Aoying Zhou; Jin Li 007 (Expert Syst. Appl., 2009)

Semantic Field: a Theoretical Perspective of Modeling Information Retrieval. - Kun Yue; Wei-Yi Liu (Int. J. Artif. Intell. Tools, 2009)

A Control-Flow Complexity Measure of Web Service Composition Process. - Xiaodong Fu; Ping Zou; Yuqian Ma; Ying Jiang; Kun Yue (APSCC, 2010)

No-regret learning for cost constrained resource selection game. - Jin Li 007; Zhou Shi; Wei-Yi Liu; Kun Yue; Rui-Jie Chen (ICNC, 2010)

Qualitative probabilistic networks with reduced ambiguities. - Kun Yue; Yu Yao; Jin Li 007; Wei-Yi Liu (Appl. Intell., 2010)

An Approach for Reducing the Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. - Wei-Yi Liu; Kun Yue; Jin Li 007; Ning Song; Li Ding (J. Intell. Robotic Syst., 2010)

An energy-efficient data transfer model of wireless sensor networks based on the coalitional game theory. - Tian-Ying Wu; Kun Yue; Weiyi Liu; Jin Xu (FSKD, 2011)

No Regret Learning for Sensor Relocation in Mobile Sensor Networks. - Jin Li 007; Chi Zhang; Weiyi Liu; Kun Yue (ICICA (LNCS), 2011)

An approach for multi-objective categorization based on the game theory and Markov process. - Wei-Yi Liu; Kun Yue; Tian-Ying Wu; Mu-Jin Wei (Appl. Soft Comput., 2011)

Quantifying influences in the qualitative probabilistic network with interval probability parameters. - Kun Yue; Weiyi Liu; Mingliang Yue (Appl. Soft Comput., 2011)

Automatic keyword extraction from documents based on multiple content-based measures. - Kun Yue; Wei-Yi Liu; Li-Ping Zhou (Comput. Syst. Sci. Eng., 2011)

Constructing the Bayesian network structure from dependencies implied in multiple relational schemas. - Wei-Yi Liu; Kun Yue; Weihua Li 006 (Expert Syst. Appl., 2011)

An approach for adaptive associative classification. - Xiaofeng Wang; Kun Yue; Wenjia Niu; Zhongzhi Shi (Expert Syst. Appl., 2011)

Bayesian Network with Interval Probability parameters. - Wei-Yi Liu; Kun Yue (Int. J. Artif. Intell. Tools, 2011)

Constructing probabilistic graphical model from predicate formulas for fusing logical and probabilistic knowledge. - Wei-Yi Liu; Kun Yue; Ming-Hai Gao (Inf. Sci., 2011)

A Process Distance Metric Based on Alignment of Process Structure Trees. - Xiaodong Fu; Kun Yue; Ping Zou; Feng Wang 039; Kaifan Ji (APWeb Workshops, 2012)

Bayesian Network-Based Probabilistic XML Keywords Filtering. - Chenjing Zhang; Kun Yue; Jinghua Zhu; Xiaoling Wang 004; Aoying Zhou (DASFAA Workshops, 2012)

A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks. - Jin Li 007; Weiyi Liu; Kun Yue (TAMC, 2012)

A MapReduce-Based Method for Learning Bayesian Network from Massive Data. - Qiyu Fang; Kun Yue; Xiaodong Fu; Hong Wu; Weiyi Liu (APWeb, 2013)

Detecting Community Structures in Microblogs from Behavioral Interactions. - Ping Zhang; Kun Yue; Jin Li 007; Xiaodong Fu; Weiyi Liu (APWeb, 2013)

Graph-Based Hierarchical Categorization of Microblog Users. - Kun Yue; Minqi Zhou; Jixian Zhang; Ping Zhang; Qiyu Fang; Weiyi Liu (BigData Congress, 2013)

Cleaning Missing Data Based on the Bayesian Network. - Liang Duan; Kun Yue; Wenhua Qian; Weiyi Liu (WAIM Workshops, 2013)

An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. - Wenlin Xu; Kun Yue; Jin Li 007; Liang Duan; Suiye Liu; Weiyi Liu (WISE (2), 2013)

Discovering semantic associations between web services based on the electrostatic force theory. - Kun Yue; Wei-Yi Liu; Wenhua Qian; Xiaofeng Wang (Comput. Syst. Sci. Eng., 2013)

An approach for discovering user similarity in social networks based on the Bayesian network and MapReduce. - Juan Xu; Kun Yue; Jin Li 007; Feng Wang 039; Weiyi Liu (BESC, 2014)

Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement. - Chao He; Kun Yue; Hao Wu 010; Weiyi Liu (Web-KRM@CIKM, 2014)

Associative categorization of frequent patterns based on the probabilistic graphical model. - Weiyi Liu; Kun Yue; Hui Liu; Ping Zhang; Suiye Liu; Qianyi Wang (Frontiers Comput. Sci., 2014)

Game-Theoretic Based Distributed Scheduling Algorithms for Minimum Coverage Breach in Directional Sensor Networks. - Jin Li 007; Kun Yue; Weiyi Liu; Qing Liu 019 (Int. J. Distributed Sens. Networks, 2014)

A Theoretic Approach for Prolonging Lifetime of Wireless Sensor Networks Based on the Coalition Game Model. - Kun Yue; Jixian Zhang; Jin Li 007; Tian-Ying Wu; Weiyi Liu (Int. J. Distributed Sens. Networks, 2014)

A Probabilistic Approach to Analyzing the Stochastic QoS of Web Service Composition. - Xiaosa Wang; Xiaodong Fu; Li Liu 032; Qingsong Huang; Kun Yue (IEEE WISA, 2015)

Analysis of evolutionary stability of funds flows in financial networks. - Ke Yang; Weiyi Liu; Hong Wu; Kun Yue (CEC, 2015)

Tracing Errors in Probabilistic Databases Based on the Bayesian Network. - Liang Duan; Kun Yue; Cheqing Jin; Wenlin Xu; Weiyi Liu (DASFAA (2), 2015)

Grid fill algorithm for vector graphics render on mobile devices. - Jixian Zhang; Kun Yue; Guowu Yuan; Binbin Zhang (ICMV, 2015)

What Makes a Good Review: Analyzing Reviews on JD.com. - Jie Liu; Xiaodong Fu; Li Liu 032; Kun Yue (ICSS, 2015)

Maximizing the Spread of Competitive Influence in a Social Network Oriented to Viral Marketing. - Hong Wu; Weiyi Liu; Kun Yue; Weipeng Huang; Ke Yang (WAIM, 2015)

Representing and processing lineages over uncertain data based on the Bayesian network. - Kun Yue; Hao Wu 010; Weiyi Liu; Yun-Lei Zhu (Appl. Soft Comput., 2015)

Discovering admissible Web services with uncertain QoS. - Xiaodong Fu; Kun Yue; Li Liu 032; Ping Zou; Yong Feng 004 (Frontiers Comput. Sci., 2015)

Context-Aware Recommendation via Graph-Based Contextual Modeling and Postfiltering. - Hao Wu 010; Kun Yue; Xiaoxin Liu; Yijian Pei; Bo Li 025 (Int. J. Distributed Sens. Networks, 2015)

Qualitative probabilistic network-based fusion of time-series uncertain knowledge. - Kun Yue; Wenhua Qian; Xiaodong Fu; Jin Li 007; Weiyi Liu (Soft Comput., 2015)

A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks. - Kun Yue; Qiyu Fang; Xiaoling Wang 004; Jin Li 007; Weiyi Liu (IEEE Trans. Cybern., 2015)

Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing. - Hong Wu; Zhijian Zhang; Kun Yue; Binbin Zhang; Weiyi Liu (APWeb Workshops, 2016)

Parallel Seed Selection for Influence Maximization Based on k-shell Decomposition. - Hong Wu; Kun Yue; Xiaodong Fu; Yujie Wang; Weiyi Liu (CollaborateCom, 2016)

Real-Time Personalized Taxi-Sharing. - Xiaoyi Duan; Cheqing Jin; Xiaoling Wang 004; Aoying Zhou; Kun Yue (DASFAA (2), 2016)

Aggregating Ordinal User Preferences for Effective Reputation Computation of Online Services. - Xiaodong Fu; Kun Yue; Li Liu 032; Lijun Liu (ICWS, 2016)

Selecting Seeds for Competitive Influence Spread Maximization in Social Networks. - Hong Wu; Weiyi Liu; Kun Yue; Jin Li 007; Weipeng Huang (ICYCSEE (1), 2016)

Influence Maximization for Cascade Model with Diffusion Decay in Social Networks. - Zhijian Zhang; Hong Wu; Kun Yue; Jin Li 007; Weiyi Liu (ICYCSEE (1), 2016)

Evolutionary Analysis and Computing of the Financial Safety Net. - Ke Yang; Kun Yue; Hong Wu; Jin Li 007; Weiyi Liu (MIWAI, 2016)

Noisy neuromorphic circuit modeling Obsessive Compulsive Disorder. - Saeid Barzegarjalali; Kun Yue; Alice C. Parker (SoCC, 2016)

Ranking Online Services by Aggregating Ordinal Preferences. - Ying Chen; Xiaodong Fu; Kun Yue; Li Liu 032; Lijun Liu (WAIM Workshops, 2016)

Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variable. - Renshang Gao; Kun Yue; Hao Wu 010; Binbin Zhang; Xiaodong Fu (WAIM Workshops, 2016)

Multi-Objective Oriented Categorization Based on the Coalitional Game Theory. - Weiyi Liu; Kun Yue; Xiaodong Fu; Zidu Yin; Jin Li 007 (Int. J. Artif. Intell. Tools, 2016)

Containment of competitive influence spread in social networks. - Weiyi Liu; Kun Yue; Hong Wu; Jin Li 007; Donghua Liu; Duanping Tang (Knowl. Based Syst., 2016)

Collaborative Topic Regression with social trust ensemble for recommendation in social media systems. - Hao Wu 010; Kun Yue; Yijian Pei; Bo Li 025; Yiji Zhao; Fan Dong (Knowl. Based Syst., 2016)

Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition. - Yanan Guo 003; Dapeng Tao; Jun Cheng 002; Alan William Dougherty; Yaotang Li; Kun Yue; Bob Zhang 001 (IEEE Trans. Multim., 2016)

Discovery and Fusion of Uncertain Knowledge in Data - Kun Yue; Weiyi Liu; Hao Wu 010; Dapeng Tao; Ming Gao 001 (WorldScientific, 2017)

Content Embedding Regularized Matrix Factorization for Recommender Systems. - Hao Wu 010; Zhengxin Zhang; Kun Yue; Binbin Zhang; Ruichao Zhu (BigData Congress, 2017)

Locating Sources in Online Social Networks via Random Walk. - Zhijian Zhang; Kun Yue; Zhengbao Sun; Ling Liu; Weiyi Liu (BigData Congress, 2017)

Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network. - Jia Hao 001; Binbin Zhang; Kun Yue; Juan Wang; Hao Wu 010 (ICCCS (2), 2017)

Noisy neuromorphic neurons with RPG on-chip noise source. - Kun Yue; Alice C. Parker (IJCNN, 2017)

Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. - Hao Wu 010; Kun Yue; Ching-Hsien Hsu; Yiji Zhao; Binbin Zhang; Guoying Zhang (Future Gener. Comput. Syst., 2017)

A data-intensive approach for discovering user similarities in social behavioral interactions based on the bayesian network. - Kun Yue; Hao Wu 010; Xiaodong Fu; Juan Xu; Zidu Yin; Weiyi Liu (Neurocomputing, 2017)

Simulating Chalk Art Style Painting. - Wenhua Qian; Dan Xu 001; Zheng Guan; Kun Yue; Yuanyuan Pu (Int. J. Pattern Recognit. Artif. Intell., 2017)

Gourd pyrography art simulating based on non-photorealistic rendering. - Wenhua Qian; Dan Xu 001; Kun Yue; Zheng Guan; Yuanyuan Pu; Yongjie Shi (Multim. Tools Appl., 2017)

An Estimation Framework of Node Contribution Based on Diffusion Information. - Zhijian Zhang; Ling Liu; Kun Yue; Weiyi Liu (APWeb/WAIM (1), 2018)

Adaptive and Parallel Data Acquisition from Online Big Graphs. - Zidu Yin; Kun Yue; Hao Wu 010; Yingjie Su (DASFAA (1), 2018)

Markov-network based latent link analysis for community detection in social behavioral interactions. - Weiyi Liu; Kun Yue; Hao Wu 010; Xiaodong Fu; Zhijian Zhang; Weipeng Huang (Appl. Intell., 2018)

Collaborative QoS prediction with context-sensitive matrix factorization. - Hao Wu 010; Kun Yue; Bo Li 025; Binbin Zhang; Ching-Hsien Hsu (Future Gener. Comput. Syst., 2018)

Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables. - Jia Hao 001; Binbin Zhang; Kun Yue; Hao Wu 010; Jixian Zhang (Int. J. Commun. Syst., 2018)

A Bayesian Network-Based Approach for Incremental Learning of Uncertain Knowledge. - Weiyi Liu; Kun Yue; Mingliang Yue; Zidu Yin; Binbin Zhang (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018)

Dual-regularized matrix factorization with deep neural networks for recommender systems. - Hao Wu 010; Zhengxin Zhang; Kun Yue; Binbin Zhang; Jun He 006; Liangchen Sun (Knowl. Based Syst., 2018)

Analog Neurons with Dopamine-Modulated STDP. - Kun Yue; Alice C. Parker (BioCAS, 2019)

A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. - Lei Li 043; Kun Yue; Binbin Zhang; Zhengbao Sun (DASFAA Workshops, 2019)

Meta-path Based MiRNA-Disease Association Prediction. - Hao Lv; Jin Li 007; Sai Zhang; Kun Yue; Shaoyu Wei (DASFAA Workshops, 2019)

Analog Neurons that Signal with Spiking Frequencies. - Kun Yue; Xiaoyu Wang; Jay Jadav; Akshay Vartak; Alice C. Parker (ICONS, 2019)

Simulation Studies of Neuronal Modulation Using Magneto-electric Nanoparticles for Astrocyte Stimulation. - Kun Yue; Rebecca K. Lee; Alice C. Parker (NER, 2019)

A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization. - Nan Han; Shaojie Qiao; Guan Yuan; Ping Huang; Dingxiang Liu; Kun Yue (Artif. Intell. Medicine, 2019)

Spatio-temporal context-aware collaborative QoS prediction. - Qimin Zhou; Hao Wu 010; Kun Yue; Ching-Hsien Hsu (Future Gener. Comput. Syst., 2019)

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). - Binbin Zhang; Juan Wang; Kun Yue; Hao Wu 010; Jia Hao 001 (计算机科学, 2019)

Domain-Weighted Majority Voting for Crowdsourcing. - Dapeng Tao; Jun Cheng 002; Zhengtao Yu 001; Kun Yue; Lizhen Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Probabilistic Approaches for Social Media Analysis - Data, Community and Influence - Kun Yue; Jin Li 007; Hao Wu 010; Weiyi Liu; Zidu Yin (Probabilistic Approaches for Social Media Analysis, 2020)

PoW-Based Sybil Attack Resistant Model for P2P Reputation Systems. - Biaoqi Li; Xiaodong Fu; Kun Yue; Li Liu 032; Lijun Liu; Yong Feng 004 (BlockSys, 2020)

Representation-Based Completion of Knowledge Graph with Open-World Data. - Kun Yue; Jiahui Wang; Xinbai Li; Kuang Hu (ICCCS, 2020)

An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM. - Kaiyu Song; Kun Yue; Xinran Wu; Jia Hao 001 (CollaborateCom (1), 2020)

Learning and Deduction of Rules for Knowledge Graph Completion. - Yan Fang; Zhiwei Qi; Kun Yue (ICBDC, 2020)

Ordinal Preferences Driven Reputation Measurement for Online Services with User Incentive. - Xiaodong Fu; Li Liu 032; Lijun Liu; Yong Feng 004; Kun Yue (ICWS, 2020)

Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. - Xi Xiong; Shaojie Qiao; Nan Han; Fei Xiong; Zhan Bu; Rong-Hua Li; Kun Yue; Guan Yuan (Neurocomputing, 2020)

A parallel and constraint induced approach to modeling user preference from rating data. - Kun Yue; Xinran Wu; Liang Duan; Shaojie Qiao; Hao Wu 010 (Knowl. Based Syst., 2020)

A novel handover detection model via frequent trajectory patterns mining. - Nan Han; Shaojie Qiao; Guan Yuan; Rui Mao 001; Kun Yue; Changan Yuan 001 (Int. J. Mach. Learn. Cybern., 2020)

A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. - Jianyu Li; Kun Yue; Jie Li; Liang Duan (APWeb/WAIM (2), 2021)

Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. - Jie Li; Kun Yue; Liang Duan; Jianyu Li (DASFAA (1), 2021)

Transfer learning of Bayesian network for measuring QoS of virtual machines. - Jia Hao 001; Kun Yue; Binbin Zhang; Liang Duan; Xiaodong Fu (Appl. Intell., 2021)

NMCMDA: neural multicategory MiRNA-disease association prediction. - Jingru Wang; Jin Li 007; Kun Yue; Li Wang; Yuyun Ma; Qing Li (Briefings Bioinform., 2021)

Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes. - Jia Hao 001; Kun Yue; Liang Duan; Binbin Zhang; Xiaodong Fu (Clust. Comput., 2021)

Matrix factorization based Bayesian network embedding for efficient probabilistic inferences. - Zhiwei Qi; Kun Yue; Liang Duan; Jiahui Wang; Shaojie Qiao; Xiaodong Fu (Expert Syst. Appl., 2021)

New type NP-CSMA of adaptive multi-priority control WSN protocol analysis. - Zejun Han; Hongwei Ding; Kun Yue; Liyong Bao; Zhijun Yang (Int. J. Reason. based Intell. Syst., 2021)

Cardinality Estimator: Processing SQL with a Vertical Scanning Convolutional Neural Network. - Shaojie Qiao; Guo-Ping Yang; Nan Han; Hao Chen; Faliang Huang; Kun Yue; Yugen Yi; Changan Yuan 001 (J. Comput. Sci. Technol., 2021)

Algorithm for detecting anomalous hosts based on group activity evolution. - Xiaoming Ye; Shaojie Qiao; Nan Han; Kun Yue; Tao Wu 003; Li Yang; Faliang Huang; Chang-an Yuan 001 (Knowl. Based Syst., 2021)

Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data. - Jiaoling Zheng; Shaojie Qiao; Nan Han; Jianbin Huang; Kun Yue; Qiang He 001; Shengjie Min; Guanghua Ying; Xindong Wu 001 (Knowl. Based Syst., 2021)

netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis. - Michael Hellstern; Jing Ma; Kun Yue; Ali Shojaie (PLoS Comput. Biol., 2021)

A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model. - Shaojie Qiao; Nan Han; Jianbin Huang; Kun Yue; Rui Mao 001; Hongping Shu; Qiang He 001; Xindong Wu 001 (ACM Trans. Intell. Syst. Technol., 2021)

Reputation Measurement for Online Services Based on Dominance Relationships. - Xiaodong Fu; Kun Yue; Li Liu 032; Yong Feng 004; Lijun Liu (IEEE Trans. Serv. Comput., 2021)

Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. - Hao Wu 010; Zhengxin Zhang; Jiacheng Luo; Kun Yue; Ching-Hsien Hsu (IEEE Trans. Serv. Comput., 2021)

Convolutional Neural Network Based Detection of Seasonal Features in Time Series Data. - Kuang Hu; Kun Yue (GCCE, 2022)

Similarity Search with Graph Index on Bayesian Network Embedding. - Zhiwei Qi; Kun Yue (GCCE, 2022)

Reconstructing NDVI Time Series by Spatio-temporal Feature Fusion. - Zhengbao Sun; Kun Yue; Lizhen Wang 001; Siyang Guo (GCCE, 2022)

An Approach for Domain Relation Extraction. - Jiahui Wang; Kun Yue; Liang Duan (GCCE, 2022)

Breaking down the Barrier between Teachers and Students by Using Metaverse Technology in Education: Based on A Survey and Analysis of Shenzhen City, China. - Kun Yue (IC4E, 2022)

Similarity Search with Graph Index on Directed Social Network Embedding. - Zhiwei Qi; Kun Yue; Liang Duan; Zhihong Liang (ICWE, 2022)

Mutual information based Bayesian graph neural network for few-shot learning. - Kaiyu Song; Kun Yue; Liang Duan; Mingze Yang; Angsheng Li (UAI, 2022)

Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. - Shanna Zhong; Kun Yue; Liang Duan (WISE, 2022)

LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. - Shaojie Qiao; Nan Han; Faliang Huang; Kun Yue; Tao Wu 003; Yugen Yi; Rui Mao 001; Chang-an Yuan 001 (Appl. Intell., 2022)

Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. - Zheng Chen 012; Ziwei Yang 002; Lingwei Zhu; Guang Shi; Kun Yue; Takashi Matsubara 001; Shigehiko Kanaya; Md. Altaf-Ul-Amin (CoRR, 2022)

Inferring range of information diffusion based on historical frequent items. - Weiyi Liu; Kun Yue; Jianyu Li; Jie Li; Jin Li 007; Zhijian Zhang (Data Min. Knowl. Discov., 2022)

Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. - Yirong Kan; Kun Yue; Hao Wu 010; Xiaodong Fu; Zhengbao Sun (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2022)

Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. - Zhiwei Qi; Kun Yue; Liang Duan; Kuang Hu; Zhihong Liang (Inf. Sci., 2022)

An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. - Jiahui Wang; Kun Yue; Liang Duan; Zhiwei Qi; Shaojie Qiao (Knowl. Based Syst., 2022)

Algorithms for Trajectory Points Clustering in Location-based Social Networks. - Nan Han; Shaojie Qiao; Kun Yue; Jianbin Huang; Qiang He 001; Tingting Tang; Faliang Huang; Chunlin He; Chang-an Yuan 001 (ACM Trans. Intell. Syst. Technol., 2022)

Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. - Hao Wu 010; Yunhao Duan; Kun Yue; Lei Zhang 130 (IEEE Trans. Serv. Comput., 2022)

Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data. - Xinran Wu; Xiang Chen; Kun Yue (AICAS, 2023)

Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. - Tong Lu; Zhiwei Qi; Kun Yue; Liang Duan (CollaborateCom (2), 2023)

Efficient Inference of Markov Logic Network for Link Prediction. - Zhongbin Li; Liang Duan; Kun Yue (GCCE, 2023)

Relevance Search over Knowledge Graph with User-entity Interaction Data. - Jianyu Li; Kun Yue (GCCE, 2023)

Generative Adversarial Network Based NDVI Super-resolution Reconstruction. - Zhengbao Sun; Hongyu Pan; Kun Yue (GCCE, 2023)

Structural Entropy Based Graph Node Classification. - Jun Zhang; Kun Yue (GCCE, 2023)

Practical Teaching Reform of Programming Courses Based on Online Coding Platforms. - Guowu Yuan; Kun Yue; Kuang Hu (ICCSE (2), 2023)

A Game-Theoretic Framework for AI Governance. - Na Zhang; Kun Yue; Chao Fang (CoRR, 2023)

Modeling and predicting user preferences with multiple item attributes for sequential recommendations. - Li Xu; Jun Zeng; Weile Peng; Hao Wu 010; Kun Yue; Haiyan Ding; Lei Zhang 130; Xin Wang 114 (Knowl. Based Syst., 2023)

Temporal resonant graph network for representation learning on dynamic graphs. - Zidu Yin; Kun Yue (Appl. Intell., 2023)

Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. - Shanna Zhong; Jiahui Wang; Kun Yue; Liang Duan; Zhengbao Sun; Yan Fang (Data Sci. Eng., 2023)

Structural Entropy Based Graph Structure Learning for Node Classification. - Liang Duan; Xiang Chen; Wenjie Liu; Daliang Liu; Kun Yue; Angsheng Li (AAAI, 2024)

Joint Semantic Relation Extraction for Multiple Entity Packets. - Yuncheng Shi; Jiahui Wang; Zehao Huang; Shiyao Li; Chengjie Xue; Kun Yue (APWeb/WAIM (1), 2024)

Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. - Kun Yue; Zhiwei Qi; Liang Duan (CIKM, 2024)

Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. - Fulu Kou; Lixing Yu; Kun Yue; Liang Duan; Zhongbin Li (DASFAA (5), 2024)

Directed Brain Network Transformer for Psychiatric Diagnosis. - Xu Zhu; Zhiwei Qi; Kun Yue; Yunshan Su; Liang Duan (ICPR (11), 2024)

"What's this?": Understanding User Interaction Behaviour with Multimodal Input Information Retrieval System. - Silang Wang; Hyeongcheol Kim; Nuwan Janaka; Kun Yue; Hoang-Long Nguyen; Shengdong Zhao 001; Haiming Liu 002; Khanh-Duy Le (MobileHCI (Companion), 2024)

SituFont: A Just-in-Time Adaptive Intervention System for Enhancing Mobile Readability in Situational Visual Impairments. - Kun Yue; Mingshan Zhang; Jingruo Chen; Chun Yu; Kexin Nie; Zhiqi Gao; Jinghan Yang; Chen Liang; Yuanchun Shi (CoRR, 2024)

Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement. - Deyan Yang; Hongquan Jiang; Song Ai; Tianlun Yang; Zelin Zhi; Deqiang Jing; Jianmin Gao; Kun Yue; Huyue Cheng; Yongjun Xu (Eng. Appl. Artif. Intell., 2024)

Similarity search on social networks with incremental graph indexing based on probabilistic inference. - Zhiwei Qi; Tong Lu; Kun Yue; Liang Duan (Int. J. Web Inf. Syst., 2024)

Learning a Bayesian network with multiple latent variables for implicit relation representation. - Xinran Wu; Kun Yue; Liang Duan; Xiaodong Fu (Data Min. Knowl. Discov., 2024)

AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. - Xiaoqing Jing; Chun Yu; Kun Yue; Liangyou Lu; Nan Gao; Weinan Shi; Mingshan Zhang; Ruolin Wang; Yuanchun Shi (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Video object detection via space-time feature aggregation and result reuse. - Liang Duan; Rongfei Yang; Kun Yue; Zhengbao Sun; Guowu Yuan (IET Image Process., 2024)

Application of EEUC-based inter aircraft ultraviolet communication network algorithm in energy consumption optimization of drone swarm. - Kun Yue (Energy Inform., 2024)

Improving Graph Contrastive Learning with Community Structure. - Xiang Chen; Kun Yue; Liang Duan; Lixing Yu (UAI, 2025)

Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. - Liang Duan; Xinran Wu; Xinhui Li; Lixing Yu; Kun Yue (UAI, 2025)

Physics-informed dual guidance method using physical envelope harmonic distribution and transfer learning for few-shot gear fault classification. - Kun Yue; Liming Wang; Xiaoxi Ding; Wennian Yu; Zaigang Chen; Wenbin Huang 002 (Eng. Appl. Artif. Intell., 2025)

Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors. - Jianyu Li; Peizhong Yang; Kun Yue; Liang Duan; Zehao Huang (J. Database Manag., 2025)

Neighbor-Based Completion for Addressing Incomplete Multiview Clustering. - Wenbiao Yan; Jihua Zhu; Yiyang Zhou; Jinqian Chen; Haozhe Cheng; Kun Yue; Qinghai Zheng (IEEE Trans. Neural Networks Learn. Syst., 2025)