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2020 – today
- 2024
[j72]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): 1634-1669 (2024)- [j71]Deyan Yang, Hongquan Jiang, Song Ai, Tianlun Yang, Zelin Zhi, Deqiang Jing, Jianmin Gao, Kun Yue, Huyue Cheng, Yongjun Xu:
Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement. Eng. Appl. Artif. Intell. 138: 109442 (2024) - [j70]Kun Yue:
Application of EEUC-based inter aircraft ultraviolet communication network algorithm in energy consumption optimization of drone swarm. Energy Inform. 7(1): 27 (2024) - [j69]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): 395-412 (2024) - [j68]Xiaoqing Jing, Chun Yu, Kun Yue, Liangyou Lu, Nan Gao, Weinan Shi, Mingshan Zhang, Ruolin Wang, Yuanchun Shi:
AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(3): 108:1-108:31 (2024) - [c80]Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li:
Structural Entropy Based Graph Structure Learning for Node Classification. AAAI 2024: 8372-8379 - [c79]Yuncheng Shi, Jiahui Wang, Zehao Huang, Shiyao Li, Chengjie Xue, Kun Yue:
Joint Semantic Relation Extraction for Multiple Entity Packets. APWeb/WAIM (1) 2024: 74-89 - [c78]Kun Yue, Zhiwei Qi, Liang Duan:
Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. CIKM 2024: 3073-3082 - [c77]Silang Wang, Hyeongcheol Kim, Nuwan Janaka, Kun Yue, Hoang-Long Nguyen, Shengdong Zhao, Haiming Liu, Khanh-Duy Le:
"What's this?": Understanding User Interaction Behaviour with Multimodal Input Information Retrieval System. MobileHCI (Companion) 2024: 3:1-3:7 - [i3]Xiaoqing Jing, Chun Yu, Kun Yue, Liangyou Lu, Nan Gao, Weinan Shi, Mingshan Zhang, Ruolin Wang, Yuanchun Shi:
AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. CoRR abs/2408.13505 (2024) - 2023
- [j67]Zidu Yin, Kun Yue:
Temporal resonant graph network for representation learning on dynamic graphs. Appl. Intell. 53(7): 7466-7483 (2023) - [j66]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): 385-395 (2023) - [j65]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: 110174 (2023) - [c76]Xinran Wu, Xiang Chen, Kun Yue:
Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data. AICAS 2023: 1-5 - [c75]Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan:
Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. CollaborateCom (2) 2023: 458-473 - [c74]Zhengbao Sun, Hongyu Pan, Kun Yue:
Generative Adversarial Network Based NDVI Super-resolution Reconstruction. GCCE 2023: 350-351 - [c73]Zhongbin Li, Liang Duan, Kun Yue:
Efficient Inference of Markov Logic Network for Link Prediction. GCCE 2023: 352-353 - [c72]Jianyu Li, Kun Yue:
Relevance Search over Knowledge Graph with User-entity Interaction Data. GCCE 2023: 354-355 - [c71]Jun Zhang, Kun Yue:
Structural Entropy Based Graph Node Classification. GCCE 2023: 356-357 - [c70]Guowu Yuan, Kun Yue, Kuang Hu:
Practical Teaching Reform of Programming Courses Based on Online Coding Platforms. ICCSE (2) 2023: 316-326 - [i2]Na Zhang, Kun Yue, Chao Fang:
A Game-Theoretic Framework for AI Governance. CoRR abs/2305.14865 (2023) - 2022
- [j64]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): 7870-7889 (2022) - [j63]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): 82-107 (2022) - [j62]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): 285-310 (2022) - [j61]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: 198-216 (2022) - [j60]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: 107996 (2022) - [j59]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): 43:1-43:29 (2022) - [j58]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): 3330-3343 (2022) - [c69]Zhiwei Qi, Kun Yue:
Similarity Search with Graph Index on Bayesian Network Embedding. GCCE 2022: 247-248 - [c68]Jiahui Wang, Kun Yue, Liang Duan:
An Approach for Domain Relation Extraction. GCCE 2022: 249-250 - [c67]Zhengbao Sun, Kun Yue, Lizhen Wang, Siyang Guo:
Reconstructing NDVI Time Series by Spatio-temporal Feature Fusion. GCCE 2022: 251-252 - [c66]Kuang Hu, Kun Yue:
Convolutional Neural Network Based Detection of Seasonal Features in Time Series Data. GCCE 2022: 255-256 - [c65]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: 40-44 - [c64]Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang:
Similarity Search with Graph Index on Directed Social Network Embedding. ICWE 2022: 82-97 - [c63]Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li:
Mutual information based Bayesian graph neural network for few-shot learning. UAI 2022: 1866-1875 - [c62]Shanna Zhong, Kun Yue, Liang Duan:
Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. WISE 2022: 259-273 - [i1]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 abs/2207.09783 (2022) - 2021
- [j57]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): 8641-8660 (2021) - [j56]Jingru Wang, Jin Li, Kun Yue, Li Wang, Yuyun Ma, Qing Li:
NMCMDA: neural multicategory MiRNA-disease association prediction. Briefings Bioinform. 22(5) (2021) - [j55]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): 1165-1184 (2021) - [j54]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: 114294 (2021) - [j53]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): 24-31 (2021) - [j52]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): 762-777 (2021) - [j51]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: 106734 (2021) - [j50]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: 107260 (2021) - [j49]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) - [j48]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): 70:1-70:24 (2021) - [j47]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): 1054-1067 (2021) - [j46]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): 1084-1096 (2021) - [c61]Jianyu Li, Kun Yue, Jie Li, Liang Duan:
A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. APWeb/WAIM (2) 2021: 75-89 - [c60]Jie Li, Kun Yue, Liang Duan, Jianyu Li:
Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. DASFAA (1) 2021: 224-239 - 2020
- [b2]Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin:
Probabilistic Approaches for Social Media Analysis - Data, Community and Influence. East China Normal University Scientific Reports 11, WorldScientific 2020, ISBN 9789811207372, pp. 1-220 - [j45]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: 56-69 (2020) - [j44]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: 106206 (2020) - [j43]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): 2587-2606 (2020) - [c59]Biaoqi Li, Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu, Yong Feng:
PoW-Based Sybil Attack Resistant Model for P2P Reputation Systems. BlockSys 2020: 166-177 - [c58]Kun Yue, Jiahui Wang, Xinbai Li, Kuang Hu:
Representation-Based Completion of Knowledge Graph with Open-World Data. ICCCS 2020: 1-8 - [c57]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: 357-372 - [c56]Yan Fang, Zhiwei Qi, Kun Yue:
Learning and Deduction of Rules for Knowledge Graph Completion. ICBDC 2020: 102-107 - [c55]Xiaodong Fu, Li Liu, Lijun Liu, Yong Feng, Kun Yue:
Ordinal Preferences Driven Reputation Measurement for Online Services with User Incentive. ICWS 2020: 248-255
2010 – 2019
- 2019
- [j42]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) - [j41]Qimin Zhou, Hao Wu, Kun Yue, Ching-Hsien Hsu:
Spatio-temporal context-aware collaborative QoS prediction. Future Gener. Comput. Syst. 100: 46-57 (2019) - [j40]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): 85-92 (2019) - [j39]Dapeng Tao, Jun Cheng, Zhengtao Yu, Kun Yue, Lizhen Wang:
Domain-Weighted Majority Voting for Crowdsourcing. IEEE Trans. Neural Networks Learn. Syst. 30(1): 163-174 (2019) - [c54]Kun Yue, Alice C. Parker:
Analog Neurons with Dopamine-Modulated STDP. BioCAS 2019: 1-4 - [c53]Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun:
A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. DASFAA Workshops 2019: 3-18 - [c52]Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei:
Meta-path Based MiRNA-Disease Association Prediction. DASFAA Workshops 2019: 34-48 - [c51]Kun Yue, Xiaoyu Wang, Jay Jadav, Akshay Vartak, Alice C. Parker:
Analog Neurons that Signal with Spiking Frequencies. ICONS 2019: 8:1-8:8 - [c50]Kun Yue, Rebecca K. Lee, Alice C. Parker:
Simulation Studies of Neuronal Modulation Using Magneto-electric Nanoparticles for Astrocyte Stimulation. NER 2019: 762-765 - 2018
- [j38]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): 2081-2096 (2018) - [j37]Hao Wu, Kun Yue, Bo Li, Binbin Zhang, Ching-Hsien Hsu:
Collaborative QoS prediction with context-sensitive matrix factorization. Future Gener. Comput. Syst. 82: 669-678 (2018) - [j36]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) - [j35]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): 87-108 (2018) - [j34]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: 46-58 (2018) - [c49]Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu:
An Estimation Framework of Node Contribution Based on Diffusion Information. APWeb/WAIM (1) 2018: 130-137 - [c48]Zidu Yin, Kun Yue, Hao Wu, Yingjie Su:
Adaptive and Parallel Data Acquisition from Online Big Graphs. DASFAA (1) 2018: 323-331 - 2017
- [b1]Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao:
Discovery and Fusion of Uncertain Knowledge in Data. East China Normal University Scientific Reports 6, WorldScientific 2017, ISBN 9789813227125, pp. 1-224 - [j33]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: 550-560 (2017) - [j32]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: 364-375 (2017) - [j31]Wenhua Qian, Dan Xu, Zheng Guan, Kun Yue, Yuanyuan Pu:
Simulating Chalk Art Style Painting. Int. J. Pattern Recognit. Artif. Intell. 31(12): 1759026:1-1759026:20 (2017) - [j30]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): 14559-14579 (2017) - [c47]Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Ruichao Zhu:
Content Embedding Regularized Matrix Factorization for Recommender Systems. BigData Congress 2017: 209-215 - [c46]Zhijian Zhang, Kun Yue, Zhengbao Sun, Ling Liu, Weiyi Liu:
Locating Sources in Online Social Networks via Random Walk. BigData Congress 2017: 337-343 - [c45]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: 641-652 - [c44]Kun Yue, Alice C. Parker:
Noisy neuromorphic neurons with RPG on-chip noise source. IJCNN 2017: 1225-1229 - 2016
- [j29]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): 1650011:1-1650011:27 (2016) - [j28]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: 111-122 (2016) - [j27]Weiyi Liu, Kun Yue, Hong Wu, Jin Li, Donghua Liu, Duanping Tang:
Containment of competitive influence spread in social networks. Knowl. Based Syst. 109: 266-275 (2016) - [j26]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): 1977-1987 (2016) - [c43]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: 3-15 - [c42]Hong Wu, Kun Yue, Xiaodong Fu, Yujie Wang, Weiyi Liu:
Parallel Seed Selection for Influence Maximization Based on k-shell Decomposition. CollaborateCom 2016: 27-36 - [c41]Xiaoyi Duan, Cheqing Jin, Xiaoling Wang, Aoying Zhou, Kun Yue:
Real-Time Personalized Taxi-Sharing. DASFAA (2) 2016: 451-465 - [c40]Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu:
Aggregating Ordinal User Preferences for Effective Reputation Computation of Online Services. ICWS 2016: 554-561 - [c39]Zhijian Zhang, Hong Wu, Kun Yue, Jin Li, Weiyi Liu:
Influence Maximization for Cascade Model with Diffusion Decay in Social Networks. ICYCSEE (1) 2016: 418-427 - [c38]Hong Wu, Weiyi Liu, Kun Yue, Jin Li, Weipeng Huang:
Selecting Seeds for Competitive Influence Spread Maximization in Social Networks. ICYCSEE (1) 2016: 600-611 - [c37]Ke Yang, Kun Yue, Hong Wu, Jin Li, Weiyi Liu:
Evolutionary Analysis and Computing of the Financial Safety Net. MIWAI 2016: 255-267 - [c36]Saeid Barzegarjalali, Kun Yue, Alice C. Parker:
Noisy neuromorphic circuit modeling Obsessive Compulsive Disorder. SoCC 2016: 327-332 - [c35]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: 3-16 - [c34]Ying Chen, Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu:
Ranking Online Services by Aggregating Ordinal Preferences. WAIM Workshops 2016: 41-53 - 2015
- [j25]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: 345-362 (2015) - [j24]Xiaodong Fu, Kun Yue, Li Liu, Ping Zou, Yong Feng:
Discovering admissible Web services with uncertain QoS. Frontiers Comput. Sci. 9(2): 265-279 (2015) - [j23]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: 613612:1-613612:10 (2015) - [j22]Kun Yue, Wenhua Qian, Xiaodong Fu, Jin Li, Weiyi Liu:
Qualitative probabilistic network-based fusion of time-series uncertain knowledge. Soft Comput. 19(7): 1953-1972 (2015) - [j21]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): 2890-2904 (2015) - [c33]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: 147-150 - [c32]Ke Yang, Weiyi Liu, Hong Wu, Kun Yue:
Analysis of evolutionary stability of funds flows in financial networks. CEC 2015: 3340-3345 - [c31]Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu:
Tracing Errors in Probabilistic Databases Based on the Bayesian Network. DASFAA (2) 2015: 104-119 - [c30]Jixian Zhang, Kun Yue, Guowu Yuan, Binbin Zhang:
Grid fill algorithm for vector graphics render on mobile devices. ICMV 2015: 98750Y - [c29]Jie Liu, Xiaodong Fu, Li Liu, Kun Yue:
What Makes a Good Review: Analyzing Reviews on JD.com. ICSS 2015: 213-216 - [c28]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: 516-519 - 2014
- [j20]Weiyi Liu, Kun Yue, Hui Liu, Ping Zhang, Suiye Liu, Qianyi Wang:
Associative categorization of frequent patterns based on the probabilistic graphical model. Frontiers Comput. Sci. 8(2): 265-278 (2014) - [j19]Jin Li, Kun Yue, Weiyi Liu, Qing Liu:
Game-Theoretic Based Distributed Scheduling Algorithms for Minimum Coverage Breach in Directional Sensor Networks. Int. J. Distributed Sens. Networks 10 (2014) - [j18]Kun Yue, Jixian Zhang, Jin Li, Tian-Ying Wu, Weiyi Liu:
A Theoretic Approach for Prolonging Lifetime of Wireless Sensor Networks Based on the Coalition Game Model. Int. J. Distributed Sens. Networks 10 (2014) - [c27]Juan Xu, Kun Yue, Jin Li, Feng Wang, Weiyi Liu:
An approach for discovering user similarity in social networks based on the Bayesian network and MapReduce. BESC 2014: 54-60 - [c26]Chao He, Kun Yue, Hao Wu, Weiyi Liu:
Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement. Web-KRM@CIKM 2014: 37-44 - 2013
- [j17]Kun Yue, Wei-Yi Liu, Wenhua Qian, Xiaofeng Wang:
Discovering semantic associations between web services based on the electrostatic force theory. Comput. Syst. Sci. Eng. 28(5) (2013) - [c25]Qiyu Fang, Kun Yue, Xiaodong Fu, Hong Wu, Weiyi Liu:
A MapReduce-Based Method for Learning Bayesian Network from Massive Data. APWeb 2013: 697-708 - [c24]Ping Zhang, Kun Yue, Jin Li, Xiaodong Fu, Weiyi Liu:
Detecting Community Structures in Microblogs from Behavioral Interactions. APWeb 2013: 734-745 - [c23]Kun Yue, Minqi Zhou, Jixian Zhang, Ping Zhang, Qiyu Fang, Weiyi Liu:
Graph-Based Hierarchical Categorization of Microblog Users. BigData Congress 2013: 149-156 - [c22]Liang Duan, Kun Yue, Wenhua Qian, Weiyi Liu:
Cleaning Missing Data Based on the Bayesian Network. WAIM Workshops 2013: 348-359 - [c21]Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu:
An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. WISE (2) 2013: 458-468 - 2012
- [c20]Xiaodong Fu, Kun Yue, Ping Zou, Feng Wang, Kaifan Ji:
A Process Distance Metric Based on Alignment of Process Structure Trees. APWeb Workshops 2012: 221-232 - [c19]Chenjing Zhang, Kun Yue, Jinghua Zhu, Xiaoling Wang, Aoying Zhou:
Bayesian Network-Based Probabilistic XML Keywords Filtering. DASFAA Workshops 2012: 274-285 - [c18]Jin Li, Weiyi Liu, Kun Yue:
A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks. TAMC 2012: 487-497 - 2011
- [j16]Kun Yue, Weiyi Liu, MingLiang Yue:
Quantifying influences in the qualitative probabilistic network with interval probability parameters. Appl. Soft Comput. 11(1): 1135-1143 (2011) - [j15]Wei-Yi Liu, Kun Yue, Tian-Ying Wu, Mu-Jin Wei:
An approach for multi-objective categorization based on the game theory and Markov process. Appl. Soft Comput. 11(6): 4087-4096 (2011) - [j14]Kun Yue, Wei-Yi Liu, Li-Ping Zhou:
Automatic keyword extraction from documents based on multiple content-based measures. Comput. Syst. Sci. Eng. 26(2) (2011) - [j13]Wei-Yi Liu, Kun Yue, Weihua Li:
Constructing the Bayesian network structure from dependencies implied in multiple relational schemas. Expert Syst. Appl. 38(6): 7123-7134 (2011) - [j12]Xiaofeng Wang, Kun Yue, Wenjia Niu, Zhongzhi Shi:
An approach for adaptive associative classification. Expert Syst. Appl. 38(9): 11873-11883 (2011) - [j11]Wei-Yi Liu, Kun Yue:
Bayesian Network with Interval Probability parameters. Int. J. Artif. Intell. Tools 20(5): 911-939 (2011) - [j10]Wei-Yi Liu, Kun Yue, Ming-Hai Gao:
Constructing probabilistic graphical model from predicate formulas for fusing logical and probabilistic knowledge. Inf. Sci. 181(18): 3828-3845 (2011) - [c17]Tian-Ying Wu, Kun Yue, Weiyi Liu, Jin Xu:
An energy-efficient data transfer model of wireless sensor networks based on the coalitional game theory. FSKD 2011: 1354-1358 - [c16]Jin Li, Chi Zhang, Weiyi Liu, Kun Yue:
No Regret Learning for Sensor Relocation in Mobile Sensor Networks. ICICA (LNCS) 2011: 216-223 - 2010
- [j9]Kun Yue, Yu Yao, Jin Li, Wei-Yi Liu:
Qualitative probabilistic networks with reduced ambiguities. Appl. Intell. 33(2): 159-178 (2010) - [j8]Wei-Yi Liu, Kun Yue, Jin Li, Ning Song, Li Ding:
An Approach for Reducing the Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. J. Intell. Robotic Syst. 60(2): 241-261 (2010) - [c15]Xiaodong Fu, Ping Zou, Yuqian Ma, Ying Jiang, Kun Yue:
A Control-Flow Complexity Measure of Web Service Composition Process. APSCC 2010: 712-716 - [c14]Jin Li, Zhou Shi, Wei-Yi Liu, Kun Yue, Rui-Jie Chen:
No-regret learning for cost constrained resource selection game. ICNC 2010: 2921-2925
2000 – 2009
- 2009
- [j7]Weiyi Liu, Kun Yue, JiaDong Zhang:
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters. Expert Syst. Appl. 36(2): 3497-3504 (2009) - [j6]Wei-Yi Liu, Kun Yue, Jing-Yu Su, Yu Yao:
Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters. Expert Syst. Appl. 36(4): 8076-8083 (2009) - [j5]Kun Yue, Weiyi Liu, Xiaoling Wang, Aoying Zhou, Jin Li:
Discovering semantic associations among Web services based on the qualitative probabilistic network. Expert Syst. Appl. 36(5): 9082-9094 (2009) - [j4]Kun Yue, Wei-Yi Liu:
Semantic Field: a Theoretical Perspective of Modeling Information Retrieval. Int. J. Artif. Intell. Tools 18(6): 825-851 (2009) - [c13]Kun Yue, Mu-Jin Wei, Kai-Lin Tian, Wei-Yi Liu:
Representing and Inferring Causalities among Classes of Multidimensional Data. APWeb/WAIM 2009: 223-234 - 2008
- [j3]Weihua Li, Weiyi Liu, Kun Yue:
Recovering the Global Structure from Multiple Local Bayesian Networks. Int. J. Artif. Intell. Tools 17(6): 1067-1088 (2008) - [j2]Wei-Yi Liu, Kun Yue, Shuang-Xian Liu, Yin-Bo Sun:
Qualitative-probabilistic-network-based modeling of temporal causalities and its application to feedback loop identification. Inf. Sci. 178(7): 1803-1824 (2008) - [c12]JiaDong Zhang, Kun Yue, Weiyi Liu:
Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. ADMA 2008: 391-399 - [c11]JiaDong Zhang, Kun Yue, Weiyi Liu:
Learning-Function-Augmented Inferences of Causalities Implied in Health Data. APWeb Workshops 2008: 87-98 - [c10]Jin Li, Kun Yue, Weiyi Liu:
An adaptive Markov model for text categorization. ISKE 2008: 802-807 - 2007
- [c9]Wei-Yi Liu, Jin Li, Kun Yue, Ning Song:
Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. ICNC (3) 2007: 466-470 - [c8]Kun Yue, Weiyi Liu, Weihua Li:
Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. APWeb/WAIM 2007: 777-784 - 2006
- [j1]Wei-Yi Liu, Jin Li, Kun Yue, Ning Song, Hong Yao:
An Approach for Solving Fuzzy Games. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(3): 277-292 (2006) - 2005
- [c7]Kun Yue, Weiyi Liu, Aoying Zhou:
A Framework of Web Service Composition for Distributed XML Query Evaluation. APWeb 2005: 572-578 - [c6]Kun Yue, Weiyi Liu, Xiaoling Wang, Aoying Zhou:
Modeling Web Services Based on the Bayesian Network. ASIAN 2005: 263-264 - 2004
- [c5]Zhiming Pan, Yizhong Wu, Kun Yue, Xiaoling Wang, Aoying Zhou:
Efficient Community Management and Optimization Strategies of Web Services in Peer-to-Peer Environments. APWeb 2004: 301-310 - [c4]Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou:
Service Selection in Dynamic Demand-Driven Web Services. ICWS 2004: 376-383 - [c3]Dunlu Peng, Yang Yuan, Kun Yue, Xiaoling Wang, Aoying Zhou:
Capacity Planning for Composite Web Services Using Queueing Network-Based Models. WAIM 2004: 439-448 - 2003
- [c2]Kun Yue, Zhengchuan Xu, Zhimao Guo, Aoying Zhou:
Constraint Preserving XML Updating. APWeb 2003: 47-58 - [c1]Aoying Zhou, Qing Wang, Zhimao Guo, Xueqing Gong, Shihui Zheng, Hongwei Wu, Jianchang Xiao, Kun Yue, Wenfei Fan:
TREX: DTD-Conforming XML to XML Transformations. SIGMOD Conference 2003: 670
Coauthor Index
Weiyi Liu
aka: Wei-Yi Liu
aka: Wei-Yi Liu
[j63] [b2] [j38] [j35] [c49] [b1] [j32] [c46] [j29] [j27] [c43] [c42] [c39] [c38] [c37] [j25] [j22] [j21] [c32] [c31] [c28] [j20] [j19] [j18] [c27] [c26] [j17] [c25] [c24] [c23] [c22] [c21] [c18] [j16] [j15] [j14] [j13] [j11] [j10] [c17] [c16] [j9] [j8] [c14] [j7] [j6] [j5] [j4] [c13] [j3] [j2] [c12] [c11] [c10] [c9] [c8] [j1] [c7] [c6]
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