Kun Yue - RankMe

188 papers A* 7A 11B 4C 11Misc 2Journal 89Unranked 62

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Multi-Model Inference Pipelines With Diffusion-Based Reinforcement Learning in Edge Computing. IEEE Trans. Serv. Comput. Jinhao Sheng, Zhiqing Tang, Jianxiong Guo, Kun Yue, Tian Wang, Weijia Jia
2026	J	`jnl`	Attention-Enhanced BiLSTM Network for Accurate Channel Estimation in High-Mobility OTFS Communications. IEEE Wirel. Commun. Lett. Jiujia Yin, Xilong Liu, Nirwan Ansari, Kun Yue
2026	J	`jnl`	Deep Variational Autoencoder-Based Parameter Learning of Bayesian Network With Multiple Latent Variables. IEEE Trans. Artif. Intell. Xinran Wu, Kun Yue, Liang Duan, Hong-Bo Xie, Huashuai Liu
2026	A*	`conf`	Dual-Kernel Graph Community Contrastive Learning. AAAI Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan
2026	J	`jnl`	SYMPHONY: Synergistic Multi-agent Planning with Heterogeneous Language Model Assembly. CoRR Wei Zhu, Zhiwen Tang, Kun Yue
2026	A*	`conf`	SituFont: A Just-in-Time Adaptive Intervention Interface for Enhancing Mobile Readability in Situational Visual Impairments. CHI Jingruo Chen, Kexin Nie, Mingshan Zhang, Chun Yu, Zhiqi Gao, Kun Yue, Yuanchun Shi, Chen Liang
2026	J	`jnl`	Structural Entropy Guided Meta-Learning for Few-Shot Node Classification. IEEE Trans. Knowl. Data Eng. Xiang Chen, Kun Yue, Daliang Liu, Wenjie Liu, Liang Duan, Angsheng Li
2026	J	`jnl`	Structural entropy guided relation extraction on adaptive graph structure. Pattern Recognit. Jiahui Wang, Jiangming Liu, Kun Yue, Liang Duan, Jiande Wu
2026	J	`jnl`	Supervised learning-based label integration for crowdsourcing. Pattern Recognit. Renping Di, Liangxiao Jiang, Shanshan Si, Kun Yue
2026	J	`jnl`	Task-Aware LLM Council with Adaptive Decision Pathways for Decision Support. CoRR Wei Zhu, Lixing Yu, Hao-Ren Yao, Zhiwen Tang, Kun Yue
2025	—	`conf`	ClassiCard: A Classifier Based Approach for Cardinality Estimation in Normalized Tables. APWeb-WAIM (2) Bingbing Xiang, Huashuai Liu, Xinran Wu, Kun Yue
2025	A*	`conf`	Conditional Information Bottleneck-Based Multivariate Time Series Forecasting. IJCAI Xinhui Li, Liang Duan, Lixing Yu, Kun Yue, Yuehua Li
2025	A	`conf`	Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion. CIKM Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu
2025	J	`jnl`	Dual-Kernel Graph Community Contrastive Learning. CoRR Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan
2025	A*	`conf`	Efficient Cardinality Estimation with Query-induced Probability Inference. ICDM Huashuai Liu, Xinran Wu, Kun Yue, Bingbing Xiang, Liang Duan
2025	J	`jnl`	Finding Associative Entities in Knowledge Graph by Incorporating User Behaviors. J. Database Manag. Jianyu Li, Peizhong Yang, Kun Yue, Liang Duan, Zehao Huang
2025	A	`conf`	GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning. CIKM Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li
2025	A*	`conf`	Hierarchical Structure Enhanced Graph Representation for Link Prediction. ICDM Wenjie Liu, Kun Yue, Zhenyu Zhang, Liang Duan
2025	A	`conf`	Improving Graph Contrastive Learning with Community Structure. UAI Xiang Chen, Kun Yue, Liang Duan, Lixing Yu
2025	A	`conf`	Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. CIKM Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan
2025	C	`conf`	Mining Associations of Electricity-Carbon Emission Influencing Factors By Knowledge Graph. INDIN Zhaorui Yin, Xinhui Li, Jiahui Wang, Kun Yue, Zhiwei Qi, Shenzhang Li
2025	J	`jnl`	Neighbor-Based Completion for Addressing Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Wenbiao Yan, Jihua Zhu, Yiyang Zhou, Jinqian Chen, Haozhe Cheng, Kun Yue, Qinghai Zheng
2025	J	`jnl`	Physics-informed dual guidance method using physical envelope harmonic distribution and transfer learning for few-shot gear fault classification. Eng. Appl. Artif. Intell. Kun Yue, Liming Wang, Xiaoxi Ding, Wennian Yu, Zaigang Chen, Wenbin Huang
2025	A	`conf`	Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies. UAI Liang Duan, Xinran Wu, Xinhui Li, Lixing Yu, Kun Yue
2025	—	`conf`	Structural Entropy Based Spatio-Temporal Sequence Forecasting. DASFAA (2) Daliang Liu, Kun Yue, Wenjie Liu, Xiang Chen, Liang Duan
2025	A	`conf`	Structural Entropy-based Multivariate Time Series Forecasting. CIKM Xinhui Li, Kun Yue, Lixing Yu, Peizhong Yang
2025	A*	`conf`	Trend-Aware Multivariate Time Series Forecasting Based on Mutual Information and Cross Attention. ICDM Jie Tu, Kun Yue, Zhenyu Zhang, Liang Duan
2024	—	`conf`	"What's this?": Understanding User Interaction Behaviour with Multimodal Input Information Retrieval System. MobileHCI (Companion) Silang Wang, Hyeongcheol Kim, Nuwan Janaka, Kun Yue, Hoang-Long Nguyen, Shengdong Zhao, Haiming Liu, Khanh-Duy Le
2024	J	`jnl`	AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. CoRR Xiaoqing Jing, Chun Yu, Kun Yue, Liangyou Lu, Nan Gao, Weinan Shi, Mingshan Zhang, Ruolin Wang, Yuanchun Shi
2024	J	`jnl`	AngleSizer: Enhancing Spatial Scale Perception for the Visually Impaired with an Interactive Smartphone Assistant. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Xiaoqing Jing, Chun Yu, Kun Yue, Liangyou Lu, Nan Gao, Weinan Shi, Mingshan Zhang, Ruolin Wang, Yuanchun Shi
2024	—	`conf`	Anomaly Detection for Multivariate Time Series with Multi-scale Feature Interactions. DASFAA (5) Fulu Kou, Lixing Yu, Kun Yue, Liang Duan, Zhongbin Li
2024	J	`jnl`	Application of EEUC-based inter aircraft ultraviolet communication network algorithm in energy consumption optimization of drone swarm. Energy Inform. Kun Yue
2024	J	`jnl`	Detection method for weld defects in time-of-flight diffraction images based on multi-image fusion and feature hybrid enhancement. Eng. Appl. Artif. Intell. Deyan Yang, Hongquan Jiang, Song Ai, Tianlun Yang, Zelin Zhi, Deqiang Jing, Jianmin Gao, Kun Yue, Huyue Cheng, Yongjun Xu
2024	—	`conf`	Directed Brain Network Transformer for Psychiatric Diagnosis. ICPR (11) Xu Zhu, Zhiwei Qi, Kun Yue, Yunshan Su, Liang Duan
2024	—	`conf`	Joint Semantic Relation Extraction for Multiple Entity Packets. APWeb/WAIM (1) Yuncheng Shi, Jiahui Wang, Zehao Huang, Shiyao Li, Chengjie Xue, Kun Yue
2024	J	`jnl`	Learning a Bayesian network with multiple latent variables for implicit relation representation. Data Min. Knowl. Discov. Xinran Wu, Kun Yue, Liang Duan, Xiaodong Fu
2024	J	`jnl`	Similarity search on social networks with incremental graph indexing based on probabilistic inference. Int. J. Web Inf. Syst. Zhiwei Qi, Tong Lu, Kun Yue, Liang Duan
2024	J	`jnl`	SituFont: A Just-in-Time Adaptive Intervention System for Enhancing Mobile Readability in Situational Visual Impairments. CoRR Kun Yue, Mingshan Zhang, Jingruo Chen, Chun Yu, Kexin Nie, Zhiqi Gao, Jinghan Yang, Chen Liang, Yuanchun Shi
2024	A*	`conf`	Structural Entropy Based Graph Structure Learning for Node Classification. AAAI Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue, Angsheng Li
2024	A	`conf`	Transformer Based Bayesian Network Embedding for Efficient Multiple Probabilistic Inferences. CIKM Kun Yue, Zhiwei Qi, Liang Duan
2024	J	`jnl`	Video object detection via space-time feature aggregation and result reuse. IET Image Process. Liang Duan, Rongfei Yang, Kun Yue, Zhengbao Sun, Guowu Yuan
2023	J	`jnl`	A Game-Theoretic Framework for AI Governance. CoRR Na Zhang, Kun Yue, Chao Fang
2023	—	`conf`	Efficient Inference of Markov Logic Network for Link Prediction. GCCE Zhongbin Li, Liang Duan, Kun Yue
2023	—	`conf`	Efficient Parameter Learning of Bayesian Network with Latent Variables from High-Dimensional Data. AICAS Xinran Wu, Xiang Chen, Kun Yue
2023	J	`jnl`	Few-Shot Relation Prediction of Knowledge Graph via Convolutional Neural Network with Self-Attention. Data Sci. Eng. Shanna Zhong, Jiahui Wang, Kun Yue, Liang Duan, Zhengbao Sun, Yan Fang
2023	—	`conf`	Generative Adversarial Network Based NDVI Super-resolution Reconstruction. GCCE Zhengbao Sun, Hongyu Pan, Kun Yue
2023	J	`jnl`	Modeling and predicting user preferences with multiple item attributes for sequential recommendations. Knowl. Based Syst. Li Xu, Jun Zeng, Weile Peng, Hao Wu, Kun Yue, Haiyan Ding, Lei Zhang, Xin Wang
2023	—	`conf`	Practical Teaching Reform of Programming Courses Based on Online Coding Platforms. ICCSE (2) Guowu Yuan, Kun Yue, Kuang Hu
2023	—	`conf`	Probabilistic Inference Based Incremental Graph Index for Similarity Search on Social Networks. CollaborateCom (2) Tong Lu, Zhiwei Qi, Kun Yue, Liang Duan
2023	—	`conf`	Relevance Search over Knowledge Graph with User-entity Interaction Data. GCCE Jianyu Li, Kun Yue
2023	—	`conf`	Structural Entropy Based Graph Node Classification. GCCE Jun Zhang, Kun Yue
2023	J	`jnl`	Temporal resonant graph network for representation learning on dynamic graphs. Appl. Intell. Zidu Yin, Kun Yue
2022	J	`jnl`	Algorithms for Trajectory Points Clustering in Location-based Social Networks. ACM Trans. Intell. Syst. Technol. Nan Han, Shaojie Qiao, Kun Yue, Jianbin Huang, Qiang He, Tingting Tang, Faliang Huang, Chunlin He, Chang-An Yuan
2022	—	`conf`	An Approach for Domain Relation Extraction. GCCE Jiahui Wang, Kun Yue, Liang Duan
2022	J	`jnl`	An efficient approach for multiple probabilistic inferences with Deepwalk based Bayesian network embedding. Knowl. Based Syst. Jiahui Wang, Kun Yue, Liang Duan, Zhiwei Qi, Shaojie Qiao
2022	B	`conf`	Attention-Based Relation Prediction of Knowledge Graph by Incorporating Graph and Context Features. WISE Shanna Zhong, Kun Yue, Liang Duan
2022	—	`conf`	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 Kun Yue
2022	J	`jnl`	Cancer Subtyping by Improved Transcriptomic Features Using Vector Quantized Variational Autoencoder. CoRR Zheng Chen, Ziwei Yang, Lingwei Zhu, Guang Shi, Kun Yue, Takashi Matsubara, Shigehiko Kanaya, Md. Altaf-Ul-Amin
2022	—	`conf`	Convolutional Neural Network Based Detection of Seasonal Features in Time Series Data. GCCE Kuang Hu, Kun Yue
2022	J	`jnl`	Dynamic embeddings for efficient parameter learning of Bayesian network with multiple latent variables. Inf. Sci. Zhiwei Qi, Kun Yue, Liang Duan, Kuang Hu, Zhihong Liang
2022	J	`jnl`	Inferring range of information diffusion based on historical frequent items. Data Min. Knowl. Discov. Weiyi Liu, Kun Yue, Jianyu Li, Jie Li, Jin Li, Zhijian Zhang
2022	J	`jnl`	LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning. Appl. Intell. Shaojie Qiao, Nan Han, Faliang Huang, Kun Yue, Tao Wu, Yugen Yi, Rui Mao, Chang-An Yuan
2022	J	`jnl`	Mashup-Oriented Web API Recommendation via Multi-Model Fusion and Multi-Task Learning. IEEE Trans. Serv. Comput. Hao Wu, Yunhao Duan, Kun Yue, Lei Zhang
2022	A	`conf`	Mutual information based Bayesian graph neural network for few-shot learning. UAI Kaiyu Song, Kun Yue, Liang Duan, Mingze Yang, Angsheng Li
2022	J	`jnl`	Online Learning of Parameters for Modeling User Preference Based on Bayesian Network. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Yirong Kan, Kun Yue, Hao Wu, Xiaodong Fu, Zhengbao Sun
2022	—	`conf`	Reconstructing NDVI Time Series by Spatio-temporal Feature Fusion. GCCE Zhengbao Sun, Kun Yue, Lizhen Wang, Siyang Guo
2022	—	`conf`	Similarity Search with Graph Index on Bayesian Network Embedding. GCCE Zhiwei Qi, Kun Yue
2022	B	`conf`	Similarity Search with Graph Index on Directed Social Network Embedding. ICWE Zhiwei Qi, Kun Yue, Liang Duan, Zhihong Liang
2021	J	`jnl`	A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model. ACM Trans. Intell. Syst. Technol. Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Rui Mao, Hongping Shu, Qiang He, Xindong Wu
2021	—	`conf`	A Probabilistic Inference Based Approach for Querying Associative Entities in Knowledge Graph. APWeb/WAIM (2) Jianyu Li, Kun Yue, Jie Li, Liang Duan
2021	J	`jnl`	Algorithm for detecting anomalous hosts based on group activity evolution. Knowl. Based Syst. Xiaoming Ye, Shaojie Qiao, Nan Han, Kun Yue, Tao Wu, Li Yang, Faliang Huang, Chang-An Yuan
2021	J	`jnl`	Cardinality Estimator: Processing SQL with a Vertical Scanning Convolutional Neural Network. J. Comput. Sci. Technol. Shaojie Qiao, Guo-Ping Yang, Nan Han, Hao Chen, Faliang Huang, Kun Yue, Yugen Yi, Changan Yuan
2021	J	`jnl`	Matrix factorization based Bayesian network embedding for efficient probabilistic inferences. Expert Syst. Appl. Zhiwei Qi, Kun Yue, Liang Duan, Jiahui Wang, Shaojie Qiao, Xiaodong Fu
2021	J	`jnl`	Multiple Attributes QoS Prediction via Deep Neural Model with Contexts. IEEE Trans. Serv. Comput. Hao Wu, Zhengxin Zhang, Jiacheng Luo, Kun Yue, Ching-Hsien Hsu
2021	J	`jnl`	NMCMDA: neural multicategory MiRNA-disease association prediction. Briefings Bioinform. Jingru Wang, Jin Li, Kun Yue, Li Wang, Yuyun Ma, Qing Li
2021	J	`jnl`	New type NP-CSMA of adaptive multi-priority control WSN protocol analysis. Int. J. Reason. based Intell. Syst. Zejun Han, Hongwei Ding, Kun Yue, Liyong Bao, Zhijun Yang
2021	J	`jnl`	Predicting QoS of virtual machines via Bayesian network with XGboost-induced classes. Clust. Comput. Jia Hao, Kun Yue, Liang Duan, Binbin Zhang, Xiaodong Fu
2021	—	`conf`	Ranking Associative Entities in Knowledge Graph by Graphical Modeling of Frequent Patterns. DASFAA (1) Jie Li, Kun Yue, Liang Duan, Jianyu Li
2021	J	`jnl`	Reputation Measurement for Online Services Based on Dominance Relationships. IEEE Trans. Serv. Comput. Xiaodong Fu, Kun Yue, Li Liu, Yong Feng, Lijun Liu
2021	J	`jnl`	Transfer learning of Bayesian network for measuring QoS of virtual machines. Appl. Intell. Jia Hao, Kun Yue, Binbin Zhang, Liang Duan, Xiaodong Fu
2021	J	`jnl`	Which, Who and How: Detecting fraudulent sale accumulation behavior from multi-dimensional sparse data. Knowl. Based Syst. Jiaoling Zheng, Shaojie Qiao, Nan Han, Jianbin Huang, Kun Yue, Qiang He, Shengjie Min, Guanghua Ying, Xindong Wu
2021	J	`jnl`	netgsa: Fast computation and interactive visualization for topology-based pathway enrichment analysis. PLoS Comput. Biol. Michael Hellstern, Jing Ma, Kun Yue, Ali Shojaie
2020	J	`jnl`	A novel handover detection model via frequent trajectory patterns mining. Int. J. Mach. Learn. Cybern. Nan Han, Shaojie Qiao, Guan Yuan, Rui Mao, Kun Yue, Changan Yuan
2020	J	`jnl`	A parallel and constraint induced approach to modeling user preference from rating data. Knowl. Based Syst. Kun Yue, Xinran Wu, Liang Duan, Shaojie Qiao, Hao Wu
2020	—	`conf`	An Efficient Approach for Parameters Learning of Bayesian Network with Multiple Latent Variables Using Neural Networks and P-EM. CollaborateCom (1) Kaiyu Song, Kun Yue, Xinran Wu, Jia Hao
2020	—	`conf`	Learning and Deduction of Rules for Knowledge Graph Completion. ICBDC Yan Fang, Zhiwei Qi, Kun Yue
2020	A	`conf`	Ordinal Preferences Driven Reputation Measurement for Online Services with User Incentive. ICWS Xiaodong Fu, Li Liu, Lijun Liu, Yong Feng, Kun Yue
2020	—	`conf`	PoW-Based Sybil Attack Resistant Model for P2P Reputation Systems. BlockSys Biaoqi Li, Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu, Yong Feng
2020	—	`book`	Probabilistic Approaches for Social Media Analysis - Data, Community and Influence Probabilistic Approaches for Social Media Analysis Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin
2020	—	`conf`	Representation-Based Completion of Knowledge Graph with Open-World Data. ICCCS Kun Yue, Jiahui Wang, Xinbai Li, Kuang Hu
2020	J	`jnl`	Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. Neurocomputing Xi Xiong, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Rong-Hua Li, Kun Yue, Guan Yuan
2019	—	`conf`	A Probabilistic Approach for Inferring Latent Entity Associations in Textual Web Contents. DASFAA Workshops Lei Li, Kun Yue, Binbin Zhang, Zhengbao Sun
2019	J	`jnl`	A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization. Artif. Intell. Medicine Nan Han, Shaojie Qiao, Guan Yuan, Ping Huang, Dingxiang Liu, Kun Yue
2019	—	`conf`	Analog Neurons that Signal with Spiking Frequencies. ICONS Kun Yue, Xiaoyu Wang, Jay Jadav, Akshay Vartak, Alice C. Parker
2019	—	`conf`	Analog Neurons with Dopamine-Modulated STDP. BioCAS Kun Yue, Alice C. Parker
2019	J	`jnl`	Domain-Weighted Majority Voting for Crowdsourcing. IEEE Trans. Neural Networks Learn. Syst. Dapeng Tao, Jun Cheng, Zhengtao Yu, Kun Yue, Lizhen Wang
2019	—	`conf`	Meta-path Based MiRNA-Disease Association Prediction. DASFAA Workshops Hao Lv, Jin Li, Sai Zhang, Kun Yue, Shaoyu Wei
2019	—	`conf`	Simulation Studies of Neuronal Modulation Using Magneto-electric Nanoparticles for Astrocyte Stimulation. NER Kun Yue, Rebecca K. Lee, Alice C. Parker
2019	J	`jnl`	Spatio-temporal context-aware collaborative QoS prediction. Future Gener. Comput. Syst. Qimin Zhou, Hao Wu, Kun Yue, Ching-Hsien Hsu
2019	J	`jnl`	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 Binbin Zhang, Juan Wang, Kun Yue, Hao Wu, Jia Hao
2018	J	`jnl`	A Bayesian Network-Based Approach for Incremental Learning of Uncertain Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Weiyi Liu, Kun Yue, Mingliang Yue, Zidu Yin, Binbin Zhang
2018	—	`conf`	Adaptive and Parallel Data Acquisition from Online Big Graphs. DASFAA (1) Zidu Yin, Kun Yue, Hao Wu, Yingjie Su
2018	—	`conf`	An Estimation Framework of Node Contribution Based on Diffusion Information. APWeb/WAIM (1) Zhijian Zhang, Ling Liu, Kun Yue, Weiyi Liu
2018	J	`jnl`	Collaborative QoS prediction with context-sensitive matrix factorization. Future Gener. Comput. Syst. Hao Wu, Kun Yue, Bo Li, Binbin Zhang, Ching-Hsien Hsu
2018	J	`jnl`	Dual-regularized matrix factorization with deep neural networks for recommender systems. Knowl. Based Syst. Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Jun He, Liangchen Sun
2018	J	`jnl`	Markov-network based latent link analysis for community detection in social behavioral interactions. Appl. Intell. Weiyi Liu, Kun Yue, Hao Wu, Xiaodong Fu, Zhijian Zhang, Weipeng Huang
2018	J	`jnl`	Measuring performance degradation of virtual machines based on the Bayesian network with hidden variables. Int. J. Commun. Syst. Jia Hao, Binbin Zhang, Kun Yue, Hao Wu, Jixian Zhang
2017	J	`jnl`	A data-intensive approach for discovering user similarities in social behavioral interactions based on the bayesian network. Neurocomputing Kun Yue, Hao Wu, Xiaodong Fu, Juan Xu, Zidu Yin, Weiyi Liu
2017	—	`conf`	Content Embedding Regularized Matrix Factorization for Recommender Systems. BigData Congress Hao Wu, Zhengxin Zhang, Kun Yue, Binbin Zhang, Ruichao Zhu
2017	J	`jnl`	Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services. Future Gener. Comput. Syst. Hao Wu, Kun Yue, Ching-Hsien Hsu, Yiji Zhao, Binbin Zhang, Guoying Zhang
2017	—	`book`	Discovery and Fusion of Uncertain Knowledge in Data Kun Yue, Weiyi Liu, Hao Wu, Dapeng Tao, Ming Gao
2017	J	`jnl`	Gourd pyrography art simulating based on non-photorealistic rendering. Multim. Tools Appl. Wenhua Qian, Dan Xu, Kun Yue, Zheng Guan, Yuanyuan Pu, Yongjie Shi
2017	—	`conf`	Locating Sources in Online Social Networks via Random Walk. BigData Congress Zhijian Zhang, Kun Yue, Zhengbao Sun, Ling Liu, Weiyi Liu
2017	B	`conf`	Noisy neuromorphic neurons with RPG on-chip noise source. IJCNN Kun Yue, Alice C. Parker
2017	—	`conf`	Performance Measurement and Configuration Optimization of Virtual Machines Based on the Bayesian Network. ICCCS (2) Jia Hao, Binbin Zhang, Kun Yue, Juan Wang, Hao Wu
2017	J	`jnl`	Simulating Chalk Art Style Painting. Int. J. Pattern Recognit. Artif. Intell. Wenhua Qian, Dan Xu, Zheng Guan, Kun Yue, Yuanyuan Pu
2016	A	`conf`	Aggregating Ordinal User Preferences for Effective Reputation Computation of Online Services. ICWS Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu
2016	J	`jnl`	Collaborative Topic Regression with social trust ensemble for recommendation in social media systems. Knowl. Based Syst. Hao Wu, Kun Yue, Yijian Pei, Bo Li, Yiji Zhao, Fan Dong
2016	J	`jnl`	Containment of competitive influence spread in social networks. Knowl. Based Syst. Weiyi Liu, Kun Yue, Hong Wu, Jin Li, Donghua Liu, Duanping Tang
2016	—	`conf`	Evolutionary Analysis and Computing of the Financial Safety Net. MIWAI Ke Yang, Kun Yue, Hong Wu, Jin Li, Weiyi Liu
2016	—	`conf`	Influence Maximization for Cascade Model with Diffusion Decay in Social Networks. ICYCSEE (1) Zhijian Zhang, Hong Wu, Kun Yue, Jin Li, Weiyi Liu
2016	—	`conf`	Maximizing the Cooperative Influence Spread in a Social Network Oriented to Viral Marketing. APWeb Workshops Hong Wu, Zhijian Zhang, Kun Yue, Binbin Zhang, Weiyi Liu
2016	—	`conf`	Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variable. WAIM Workshops Renshang Gao, Kun Yue, Hao Wu, Binbin Zhang, Xiaodong Fu
2016	J	`jnl`	Multi-Objective Oriented Categorization Based on the Coalitional Game Theory. Int. J. Artif. Intell. Tools Weiyi Liu, Kun Yue, Xiaodong Fu, Zidu Yin, Jin Li
2016	—	`conf`	Noisy neuromorphic circuit modeling Obsessive Compulsive Disorder. SoCC Saeid Barzegarjalali, Kun Yue, Alice C. Parker
2016	C	`conf`	Parallel Seed Selection for Influence Maximization Based on k-shell Decomposition. CollaborateCom Hong Wu, Kun Yue, Xiaodong Fu, Yujie Wang, Weiyi Liu
2016	—	`conf`	Ranking Online Services by Aggregating Ordinal Preferences. WAIM Workshops Ying Chen, Xiaodong Fu, Kun Yue, Li Liu, Lijun Liu
2016	—	`conf`	Real-Time Personalized Taxi-Sharing. DASFAA (2) Xiaoyi Duan, Cheqing Jin, Xiaoling Wang, Aoying Zhou, Kun Yue
2016	—	`conf`	Selecting Seeds for Competitive Influence Spread Maximization in Social Networks. ICYCSEE (1) Hong Wu, Weiyi Liu, Kun Yue, Jin Li, Weipeng Huang
2016	J	`jnl`	Tensor Manifold Discriminant Projections for Acceleration-Based Human Activity Recognition. IEEE Trans. Multim. Yanan Guo, Dapeng Tao, Jun Cheng, Alan William Dougherty, Yaotang Li, Kun Yue, Bob Zhang
2015	J	`jnl`	A Parallel and Incremental Approach for Data-Intensive Learning of Bayesian Networks. IEEE Trans. Cybern. Kun Yue, Qiyu Fang, Xiaoling Wang, Jin Li, Weiyi Liu
2015	—	`conf`	A Probabilistic Approach to Analyzing the Stochastic QoS of Web Service Composition. IEEE WISA Xiaosa Wang, Xiaodong Fu, Li Liu, Qingsong Huang, Kun Yue
2015	B	`conf`	Analysis of evolutionary stability of funds flows in financial networks. CEC Ke Yang, Weiyi Liu, Hong Wu, Kun Yue
2015	J	`jnl`	Context-Aware Recommendation via Graph-Based Contextual Modeling and Postfiltering. Int. J. Distributed Sens. Networks Hao Wu, Kun Yue, Xiaoxin Liu, Yijian Pei, Bo Li
2015	J	`jnl`	Discovering admissible Web services with uncertain QoS. Frontiers Comput. Sci. Xiaodong Fu, Kun Yue, Li Liu, Ping Zou, Yong Feng
2015	C	`conf`	Grid fill algorithm for vector graphics render on mobile devices. ICMV Jixian Zhang, Kun Yue, Guowu Yuan, Binbin Zhang
2015	—	`conf`	Maximizing the Spread of Competitive Influence in a Social Network Oriented to Viral Marketing. WAIM Hong Wu, Weiyi Liu, Kun Yue, Weipeng Huang, Ke Yang
2015	J	`jnl`	Qualitative probabilistic network-based fusion of time-series uncertain knowledge. Soft Comput. Kun Yue, Wenhua Qian, Xiaodong Fu, Jin Li, Weiyi Liu
2015	J	`jnl`	Representing and processing lineages over uncertain data based on the Bayesian network. Appl. Soft Comput. Kun Yue, Hao Wu, Weiyi Liu, Yun-Lei Zhu
2015	—	`conf`	Tracing Errors in Probabilistic Databases Based on the Bayesian Network. DASFAA (2) Liang Duan, Kun Yue, Cheqing Jin, Wenlin Xu, Weiyi Liu
2015	—	`conf`	What Makes a Good Review: Analyzing Reviews on JD.com. ICSS Jie Liu, Xiaodong Fu, Li Liu, Kun Yue
2014	J	`jnl`	A Theoretic Approach for Prolonging Lifetime of Wireless Sensor Networks Based on the Coalition Game Model. Int. J. Distributed Sens. Networks Kun Yue, Jixian Zhang, Jin Li, Tian-Ying Wu, Weiyi Liu
2014	—	`conf`	An approach for discovering user similarity in social networks based on the Bayesian network and MapReduce. BESC Juan Xu, Kun Yue, Jin Li, Feng Wang, Weiyi Liu
2014	J	`jnl`	Associative categorization of frequent patterns based on the probabilistic graphical model. Frontiers Comput. Sci. Weiyi Liu, Kun Yue, Hui Liu, Ping Zhang, Suiye Liu, Qianyi Wang
2014	J	`jnl`	Game-Theoretic Based Distributed Scheduling Algorithms for Minimum Coverage Breach in Directional Sensor Networks. Int. J. Distributed Sens. Networks Jin Li, Kun Yue, Weiyi Liu, Qing Liu
2014	—	`conf`	Structure Learning of Bayesian Network with Latent Variables by Weight-Induced Refinement. Web-KRM@CIKM Chao He, Kun Yue, Hao Wu, Weiyi Liu
2013	C	`conf`	A MapReduce-Based Method for Learning Bayesian Network from Massive Data. APWeb Qiyu Fang, Kun Yue, Xiaodong Fu, Hong Wu, Weiyi Liu
2013	—	`conf`	An Approach for Sponsored Search Auctions Based on the Coalitional Game Theory. WISE (2) Wenlin Xu, Kun Yue, Jin Li, Liang Duan, Suiye Liu, Weiyi Liu
2013	—	`conf`	Cleaning Missing Data Based on the Bayesian Network. WAIM Workshops Liang Duan, Kun Yue, Wenhua Qian, Weiyi Liu
2013	C	`conf`	Detecting Community Structures in Microblogs from Behavioral Interactions. APWeb Ping Zhang, Kun Yue, Jin Li, Xiaodong Fu, Weiyi Liu
2013	J	`jnl`	Discovering semantic associations between web services based on the electrostatic force theory. Comput. Syst. Sci. Eng. Kun Yue, Wei-Yi Liu, Wenhua Qian, Xiaofeng Wang
2013	—	`conf`	Graph-Based Hierarchical Categorization of Microblog Users. BigData Congress Kun Yue, Minqi Zhou, Jixian Zhang, Ping Zhang, Qiyu Fang, Weiyi Liu
2012	C	`conf`	A Game-Theoretic Approach for Balancing the Tradeoffs between Data Availability and Query Delay in Multi-hop Cellular Networks. TAMC Jin Li, Weiyi Liu, Kun Yue
2012	—	`conf`	A Process Distance Metric Based on Alignment of Process Structure Trees. APWeb Workshops Xiaodong Fu, Kun Yue, Ping Zou, Feng Wang, Kaifan Ji
2012	—	`conf`	Bayesian Network-Based Probabilistic XML Keywords Filtering. DASFAA Workshops Chenjing Zhang, Kun Yue, Jinghua Zhu, Xiaoling Wang, Aoying Zhou
2011	J	`jnl`	An approach for adaptive associative classification. Expert Syst. Appl. Xiaofeng Wang, Kun Yue, Wenjia Niu, Zhongzhi Shi
2011	J	`jnl`	An approach for multi-objective categorization based on the game theory and Markov process. Appl. Soft Comput. Wei-Yi Liu, Kun Yue, Tian-Ying Wu, Mu-Jin Wei
2011	—	`conf`	An energy-efficient data transfer model of wireless sensor networks based on the coalitional game theory. FSKD Tian-Ying Wu, Kun Yue, Weiyi Liu, Jin Xu
2011	J	`jnl`	Automatic keyword extraction from documents based on multiple content-based measures. Comput. Syst. Sci. Eng. Kun Yue, Wei-Yi Liu, Li-Ping Zhou
2011	J	`jnl`	Bayesian Network with Interval Probability parameters. Int. J. Artif. Intell. Tools Wei-Yi Liu, Kun Yue
2011	J	`jnl`	Constructing probabilistic graphical model from predicate formulas for fusing logical and probabilistic knowledge. Inf. Sci. Wei-Yi Liu, Kun Yue, Ming-Hai Gao
2011	J	`jnl`	Constructing the Bayesian network structure from dependencies implied in multiple relational schemas. Expert Syst. Appl. Wei-Yi Liu, Kun Yue, Weihua Li
2011	—	`conf`	No Regret Learning for Sensor Relocation in Mobile Sensor Networks. ICICA (LNCS) Jin Li, Chi Zhang, Weiyi Liu, Kun Yue
2011	J	`jnl`	Quantifying influences in the qualitative probabilistic network with interval probability parameters. Appl. Soft Comput. Kun Yue, Weiyi Liu, Mingliang Yue
2010	C	`conf`	A Control-Flow Complexity Measure of Web Service Composition Process. APSCC Xiaodong Fu, Ping Zou, Yuqian Ma, Ying Jiang, Kun Yue
2010	J	`jnl`	An Approach for Reducing the Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. J. Intell. Robotic Syst. Wei-Yi Liu, Kun Yue, Jin Li, Ning Song, Li Ding
2010	Misc	`conf`	No-regret learning for cost constrained resource selection game. ICNC Jin Li, Zhou Shi, Wei-Yi Liu, Kun Yue, Rui-Jie Chen
2010	J	`jnl`	Qualitative probabilistic networks with reduced ambiguities. Appl. Intell. Kun Yue, Yu Yao, Jin Li, Wei-Yi Liu
2009	J	`jnl`	Augmenting learning function to Bayesian network inferences with maximum likelihood parameters. Expert Syst. Appl. Weiyi Liu, Kun Yue, Jiadong Zhang
2009	J	`jnl`	Discovering semantic associations among Web services based on the qualitative probabilistic network. Expert Syst. Appl. Kun Yue, Weiyi Liu, Xiaoling Wang, Aoying Zhou, Jin Li
2009	J	`jnl`	Probabilistic representation and approximate inference of type-2 fuzzy events in Bayesian networks with interval probability parameters. Expert Syst. Appl. Wei-Yi Liu, Kun Yue, Jing-Yu Su, Yu Yao
2009	—	`conf`	Representing and Inferring Causalities among Classes of Multidimensional Data. APWeb/WAIM Kun Yue, Mu-Jin Wei, Kai-Lin Tian, Wei-Yi Liu
2009	J	`jnl`	Semantic Field: a Theoretical Perspective of Modeling Information Retrieval. Int. J. Artif. Intell. Tools Kun Yue, Wei-Yi Liu
2008	Misc	`conf`	An adaptive Markov model for text categorization. ISKE Jin Li, Kun Yue, Weiyi Liu
2008	C	`conf`	Learning and Inferences of the Bayesian Network with Maximum Likelihood Parameters. ADMA Jiadong Zhang, Kun Yue, Weiyi Liu
2008	—	`conf`	Learning-Function-Augmented Inferences of Causalities Implied in Health Data. APWeb Workshops Jiadong Zhang, Kun Yue, Weiyi Liu
2008	J	`jnl`	Qualitative-probabilistic-network-based modeling of temporal causalities and its application to feedback loop identification. Inf. Sci. Wei-Yi Liu, Kun Yue, Shuang-Xian Liu, Yin-Bo Sun
2008	J	`jnl`	Recovering the Global Structure from Multiple Local Bayesian Networks. Int. J. Artif. Intell. Tools Weihua Li, Weiyi Liu, Kun Yue
2007	—	`conf`	Reduction of Graphical Model and Genetic Algorithm for Computing Approximate Nash Equilibrium in Static Games. ICNC (3) Wei-Yi Liu, Jin Li, Kun Yue, Ning Song
2007	—	`conf`	Towards Web Services Composition Based on the Mining and Reasoning of Their Causal Relationships. APWeb/WAIM Kun Yue, Weiyi Liu, Weihua Li
2006	J	`jnl`	An Approach for Solving Fuzzy Games. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Wei-Yi Liu, Jin Li, Kun Yue, Ning Song, Hong Yao
2005	C	`conf`	A Framework of Web Service Composition for Distributed XML Query Evaluation. APWeb Kun Yue, Weiyi Liu, Aoying Zhou
2005	—	`conf`	Modeling Web Services Based on the Bayesian Network. ASIAN Kun Yue, Weiyi Liu, Xiaoling Wang, Aoying Zhou
2004	—	`conf`	Capacity Planning for Composite Web Services Using Queueing Network-Based Models. WAIM Dunlu Peng, Yang Yuan, Kun Yue, Xiaoling Wang, Aoying Zhou
2004	C	`conf`	Efficient Community Management and Optimization Strategies of Web Services in Peer-to-Peer Environments. APWeb Zhiming Pan, Yizhong Wu, Kun Yue, Xiaoling Wang, Aoying Zhou
2004	A	`conf`	Service Selection in Dynamic Demand-Driven Web Services. ICWS Xiaoling Wang, Kun Yue, Joshua Zhexue Huang, Aoying Zhou
2003	C	`conf`	Constraint Preserving XML Updating. APWeb Kun Yue, Zhengchuan Xu, Zhimao Guo, Aoying Zhou
2003	—	`conf`	TREX: DTD-Conforming XML to XML Transformations. SIGMOD Conference Aoying Zhou, Qing Wang, Zhimao Guo, Xueqing Gong, Shihui Zheng, Hongwei Wu, Jianchang Xiao, Kun Yue, Wenfei Fan