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ORCIDGuangquan Zhang 0001
Person information
- affiliation: University of Technology Sydney, Faculty of Engineering and Information Technology, Centre for Artificial Intelligence, NSW, Australia
- affiliation (PhD 2000): Curtin University of Technology, Department of Mathematics and Statistics, Perth, WA, Australia
- affiliation (1979 - 1997): Hebei University, Baoding, China
Other persons with the same name
- Guangquan Zhang 0002 — Soochow University, Suzhou, China
- Guangquan Zhang 0003
![[0009-0004-0385-1852]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0004-0385-1852")
— Wuhan University of Science and Technology, Department of Resource and Environmental Engineering, China
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Books and Theses
- 2020
[b4]Jie Lu, Qian Zhang, Guangquan Zhang:
Recommender Systems - Advanced Developments. Intelligent Information Systems 6, WorldScientific 2020, ISBN 9789811224621, pp. 1-380- 2015
- [b3]Guangquan Zhang, Jie Lu, Ya Gao:
Multi-Level Decision Making - Models, Methods and Applications. Intelligent Systems Reference Library 82, Springer 2015, ISBN 978-3-662-46058-0, pp. 3-356 - 2009
- [b2]Li Niu, Jie Lu, Guangquan Zhang:
Cognition-Driven Decision Support for Business Intelligence: Models, Techniques, Systems and Applications. Studies in Computational Intelligence 238, Springer 2009, ISBN 978-3-642-03207-3 - 2007
- [b1]Jie Lu, Guangquan Zhang, Da Ruan, Fengjie Wu:
Multi-Objective Group Decision Making - Methods, Software and Applications with Fuzzy Set Techniques(With CD-ROM). Series in Electrical and Computer Engineering 6, WorldScientific 2007, ISBN 978-1-86094-793-3, pp. 1-408
Journal Articles
- 2024
- [j204]Ningyuan Zhang, Jie Lu, Keqiuyin Li, Zhen Fang, Guangquan Zhang:
Source-Free Unsupervised Domain Adaptation: Current research and future directions. Neurocomputing 564: 126921 (2024) - [j203]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Robust Gaussian Process Regression With Input Uncertainty: A PAC-Bayes Perspective. IEEE Trans. Cybern. 54(2): 962-973 (2024) - [j202]Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang:
Multiclass Classification With Fuzzy-Feature Observations: Theory and Algorithms. IEEE Trans. Cybern. 54(2): 1048-1061 (2024) - [j201]Zhen Fang, Jie Lu, Guangquan Zhang:
An Extremely Simple Algorithm for Source Domain Reconstruction. IEEE Trans. Cybern. 54(3): 1921-1933 (2024) - [j200]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multidomain Adaptation With Sample and Source Distillation. IEEE Trans. Cybern. 54(4): 2193-2205 (2024) - 2023
- [j199]Haotian Xu, Zheng Yan, Junyu Xuan, Guangquan Zhang, Jie Lu:
Improving proximal policy optimization with alpha divergence. Neurocomputing 534: 94-105 (2023) - [j198]Yi Zhang, Mengjia Wu, Guangquan Zhang, Jie Lu:
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation. J. Assoc. Inf. Sci. Technol. 74(7): 775-790 (2023) - [j197]Kairui Guo, Mengjia Wu, Zelia Soo, Yue Yang, Yi Zhang, Qian Zhang, Hua Lin, Mark Grosser, Deon Venter, Guangquan Zhang, Jie Lu:
Artificial intelligence-driven biomedical genomics. Knowl. Based Syst. 279: 110937 (2023) - [j196]Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Semi-Supervised Heterogeneous Domain Adaptation: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1087-1105 (2023) - [j195]Hang Yu, Weixu Liu, Jie Lu, Yimin Wen, Xiangfeng Luo, Guangquan Zhang:
Detecting group concept drift from multiple data streams. Pattern Recognit. 134: 109113 (2023) - [j194]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang, Li Xiong:
Evolving Gradient Boost: A Pruning Scheme Based on Loss Improvement Ratio for Learning Under Concept Drift. IEEE Trans. Cybern. 53(4): 2110-2123 (2023) - [j193]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multidomain Adaptation With Fuzzy Rule-Based Deep Neural Networks. IEEE Trans. Fuzzy Syst. 31(12): 4180-4194 (2023) - [j192]Fujin Zhu, Jie Lu, Adi Lin, Junyu Xuan, Guangquan Zhang:
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. 35(3): 2457-2470 (2023) - [j191]Qian Zhang, Wenhui Liao, Guangquan Zhang, Bo Yuan, Jie Lu:
A Deep Dual Adversarial Network for Cross-Domain Recommendation. IEEE Trans. Knowl. Data Eng. 35(4): 3266-3278 (2023) - [j190]Anjin Liu, Jie Lu, Yiliao Song, Junyu Xuan, Guangquan Zhang:
Concept Drift Detection Delay Index. IEEE Trans. Knowl. Data Eng. 35(5): 4585-4597 (2023) - [j189]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Dynamic Classifier Alignment for Unsupervised Multi-Source Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(5): 4727-4740 (2023) - [j188]Ming Zhou, Jie Lu, Yiliao Song, Guangquan Zhang:
Multi-Stream Concept Drift Self-Adaptation Using Graph Neural Network. IEEE Trans. Knowl. Data Eng. 35(12): 12828-12841 (2023) - [j187]Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3859-3873 (2023) - [j186]Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang:
Learning Data Streams With Changing Distributions and Temporal Dependency. IEEE Trans. Neural Networks Learn. Syst. 34(8): 3952-3965 (2023) - [j185]Wenhui Liao, Qian Zhang, Bo Yuan, Guangquan Zhang, Jie Lu:
Heterogeneous Multidomain Recommender System Through Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8965-8977 (2023) - 2022
- [j184]Bin Wang, Jie Lu, Tianrui Li, Zheng Yan, Guangquan Zhang:
A quantile fusion methodology for deep forecasting. Neurocomputing 483: 286-298 (2022) - [j183]Kun Wang, Jie Lu, Anjin Liu, Yiliao Song, Li Xiong, Guangquan Zhang:
Elastic gradient boosting decision tree with adaptive iterations for concept drift adaptation. Neurocomputing 491: 288-304 (2022) - [j182]En Yu, Yiliao Song, Guangquan Zhang, Jie Lu:
Learn-to-adapt: Concept drift adaptation for hybrid multiple streams. Neurocomputing 496: 121-130 (2022) - [j181]Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang, Li Hou:
Transfer learning based on sparse Gaussian process for regression. Inf. Sci. 605: 286-300 (2022) - [j180]Hang Yu, Qingyong Zhang, Tianyu Liu, Jie Lu, Yimin Wen, Guangquan Zhang:
Meta-ADD: A meta-learning based pre-trained model for concept drift active detection. Inf. Sci. 608: 996-1009 (2022) - [j179]Hang Yu, Jie Lu, Guangquan Zhang:
Continuous Support Vector Regression for Nonstationary Streaming Data. IEEE Trans. Cybern. 52(5): 3592-3605 (2022) - [j178]Fan Dong, Jie Lu, Yiliao Song, Feng Liu, Guangquan Zhang:
A Drift Region-Based Data Sample Filtering Method. IEEE Trans. Cybern. 52(9): 9377-9390 (2022) - [j177]Hang Yu, Jie Lu, Guangquan Zhang:
Topology Learning-Based Fuzzy Random Neural Networks for Streaming Data Regression. IEEE Trans. Fuzzy Syst. 30(2): 412-425 (2022) - [j176]Hang Yu, Jie Lu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang:
Real-Time Prediction System of Train Carriage Load Based on Multi-Stream Fuzzy Learning. IEEE Trans. Intell. Transp. Syst. 23(9): 15155-15165 (2022) - [j175]Hang Yu, Jie Lu, Guangquan Zhang:
An Online Robust Support Vector Regression for Data Streams. IEEE Trans. Knowl. Data Eng. 34(1): 150-163 (2022) - [j174]Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang:
A Segment-Based Drift Adaptation Method for Data Streams. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4876-4889 (2022) - [j173]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Contribution Learning for Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5293-5307 (2022) - [j172]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning From a Complementary-Label Source Domain: Theory and Algorithms. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7667-7681 (2022) - [j171]Hang Yu, Jie Lu, Guangquan Zhang:
MORStreaming: A Multioutput Regression System for Streaming Data. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 4862-4874 (2022) - 2021
- [j170]Wenjun Chang, Qian Zhang, Chao Fu, Weiyong Liu, Guangquan Zhang, Jie Lu:
A cross-domain recommender system through information transfer for medical diagnosis. Decis. Support Syst. 143: 113489 (2021) - [j169]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Statistical generalization performance guarantee for meta-learning with data dependent prior. Neurocomputing 465: 391-405 (2021) - [j168]Qian Liu, Jie Lu, Guangquan Zhang, Tao Shen, Zhihan Zhang, Heyan Huang:
Domain-specific meta-embedding with latent semantic structures. Inf. Sci. 555: 410-423 (2021) - [j167]Kai Yang, Jie Lu, Wanggen Wan, Guangquan Zhang:
Multi-source transfer regression via source-target pairwise segment. Inf. Sci. 556: 389-403 (2021) - [j166]Yi Zhang, Mengjia Wu, George Yijun Tian, Guangquan Zhang, Jie Lu:
Ethics and privacy of artificial intelligence: Understandings from bibliometrics. Knowl. Based Syst. 222: 106994 (2021) - [j165]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection via Equal Intensity k-Means Space Partitioning. IEEE Trans. Cybern. 51(6): 3198-3211 (2021) - [j164]Qian Liu, Heyan Huang, Junyu Xuan, Guangquan Zhang, Yang Gao, Jie Lu:
A Fuzzy Word Similarity Measure for Selecting Top-$k$ Similar Words in Query Expansion. IEEE Trans. Fuzzy Syst. 29(8): 2132-2144 (2021) - [j163]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection: Dealing With Missing Values via Fuzzy Distance Estimations. IEEE Trans. Fuzzy Syst. 29(11): 3219-3233 (2021) - [j162]Feng Liu, Guangquan Zhang, Jie Lu:
Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks. IEEE Trans. Fuzzy Syst. 29(11): 3308-3322 (2021) - [j161]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining. ACM Trans. Intell. Syst. Technol. 12(1): 5:1-5:22 (2021) - [j160]Anjin Liu, Jie Lu, Guangquan Zhang:
Diverse Instance-Weighting Ensemble Based on Region Drift Disagreement for Concept Drift Adaptation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 293-307 (2021) - [j159]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4309-4322 (2021) - 2020
- [j158]Yi Zhang, Mengjia Wu, Hua Lin, Steven Tipper, Mark Grosser, Guangquan Zhang, Jie Lu:
Framework of Computational Intelligence-Enhanced Knowledge Base Construction: Methodology and A Case of Gene-Related Cardiovascular Disease. Int. J. Comput. Intell. Syst. 13(1): 1109-1119 (2020) - [j157]Fujin Zhu, Jie Lu, Adi Lin, Guangquan Zhang:
A Pareto-smoothing method for causal inference using generalized Pareto distribution. Neurocomputing 378: 142-152 (2020) - [j156]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
Output based transfer learning with least squares support vector machine and its application in bladder cancer prognosis. Neurocomputing 387: 279-292 (2020) - [j155]Bin Wang, Tianrui Li, Zheng Yan, Guangquan Zhang, Jie Lu:
DeepPIPE: A distribution-free uncertainty quantification approach for time series forecasting. Neurocomputing 397: 11-19 (2020) - [j154]Guanjin Wang, Jie Lu, Kup-Sze Choi, Guangquan Zhang:
A Transfer-Based Additive LS-SVM Classifier for Handling Missing Data. IEEE Trans. Cybern. 50(2): 739-752 (2020) - [j153]Yiliao Song, Jie Lu, Haiyan Lu, Guangquan Zhang:
Fuzzy Clustering-Based Adaptive Regression for Drifting Data Streams. IEEE Trans. Fuzzy Syst. 28(3): 544-557 (2020) - [j152]Jie Lu, Hua Zuo, Guangquan Zhang:
Fuzzy Multiple-Source Transfer Learning. IEEE Trans. Fuzzy Syst. 28(12): 3418-3431 (2020) - [j151]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
A Causal Dirichlet Mixture Model for Causal Inference from Observational Data. ACM Trans. Intell. Syst. Technol. 11(3): 33:1-33:29 (2020) - [j150]Hang Yu, Jie Lu, Guangquan Zhang:
Online Topology Learning by a Gaussian Membership-Based Self-Organizing Incremental Neural Network. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3947-3961 (2020) - [j149]Feng Liu, Guangquan Zhang, Jie Lu:
Heterogeneous Domain Adaptation: An Unsupervised Approach. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5588-5602 (2020) - [j148]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Web event evolution trend prediction based on its computational social context. World Wide Web 23(3): 1861-1886 (2020) - 2019
- [j147]Junyu Xuan, Jie Lu, Guangquan Zhang:
Cooperative hierarchical Dirichlet processes: Superposition vs. maximization. Artif. Intell. 271: 43-73 (2019) - [j146]Junyu Xuan, Jie Lu, Guangquan Zhang:
A Survey on Bayesian Nonparametric Learning. ACM Comput. Surv. 52(1): 13:1-13:36 (2019) - [j145]Ximeng Wang, Yun Liu, Jie Lu, Fei Xiong, Guangquan Zhang:
TruGRC: Trust-Aware Group Recommendation with Virtual Coordinators. Future Gener. Comput. Syst. 94: 224-236 (2019) - [j144]Mingsong Mao, Jie Lu, Jialin Han, Guangquan Zhang:
Multiobjective e-commerce recommendations based on hypergraph ranking. Inf. Sci. 471: 269-287 (2019) - [j143]Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu:
A deeper graph neural network for recommender systems. Knowl. Based Syst. 185 (2019) - [j142]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain network representations. Pattern Recognit. 94: 135-148 (2019) - [j141]Peng Hao, Guangquan Zhang, Luis Martínez-López, Jie Lu:
Regularizing Knowledge Transfer in Recommendation With Tag-Inferred Correlation. IEEE Trans. Cybern. 49(1): 83-96 (2019) - [j140]Jie Lu, Zheng Yan, Jialin Han, Guangquan Zhang:
Data-Driven Decision-Making (D3M): Framework, Methodology, and Directions. IEEE Trans. Emerg. Top. Comput. Intell. 3(4): 286-296 (2019) - [j139]Hua Zuo, Jie Lu, Guangquan Zhang, Feng Liu:
Fuzzy Transfer Learning Using an Infinite Gaussian Mixture Model and Active Learning. IEEE Trans. Fuzzy Syst. 27(2): 291-303 (2019) - [j138]Hua Zuo, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Fuzzy Rule-Based Domain Adaptation in Homogeneous and Heterogeneous Spaces. IEEE Trans. Fuzzy Syst. 27(2): 348-361 (2019) - [j137]Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang:
Learning under Concept Drift: A Review. IEEE Trans. Knowl. Data Eng. 31(12): 2346-2363 (2019) - [j136]Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang:
A Cross-Domain Recommender System With Kernel-Induced Knowledge Transfer for Overlapping Entities. IEEE Trans. Neural Networks Learn. Syst. 30(7): 1998-2012 (2019) - [j135]Wei Wang, Guangquan Zhang, Jie Lu:
Hierarchy Visualization for Group Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 49(6): 1152-1163 (2019) - [j134]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Jie Lu:
Deep Additive Least Squares Support Vector Machines for Classification With Model Transfer. IEEE Trans. Syst. Man Cybern. Syst. 49(7): 1527-1540 (2019) - 2018
- [j133]Fan Dong, Jie Lu, Guangquan Zhang, Kan Li:
Active Fuzzy Weighting Ensemble for Dealing with Concept Drift. Int. J. Comput. Intell. Syst. 11(1): 438-450 (2018) - [j132]Junyu Xuan, Jie Lu, Zheng Yan, Guangquan Zhang:
Bayesian Deep Reinforcement Learning via Deep Kernel Learning. Int. J. Comput. Intell. Syst. 12(1): 164-171 (2018) - [j131]Yue Zheng, Guangquan Zhang, Zhen Zhang, Jie Lu:
A reducibility method for the weak linear bilevel programming problems and a case study in principal-agent. Inf. Sci. 454-455: 46-58 (2018) - [j130]Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang:
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics 12(4): 1099-1117 (2018) - [j129]Fan Dong, Guangquan Zhang, Jie Lu, Kan Li:
Fuzzy competence model drift detection for data-driven decision support systems. Knowl. Based Syst. 143: 284-294 (2018) - [j128]Jie Lu, Junyu Xuan, Guangquan Zhang, Xiangfeng Luo:
Structural property-aware multilayer network embedding for latent factor analysis. Pattern Recognit. 76: 228-241 (2018) - [j127]Anjin Liu, Jie Lu, Feng Liu, Guangquan Zhang:
Accumulating regional density dissimilarity for concept drift detection in data streams. Pattern Recognit. 76: 256-272 (2018) - [j126]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Granular Fuzzy Regression Domain Adaptation in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 26(2): 847-858 (2018) - [j125]Feng Liu, Jie Lu, Guangquan Zhang:
Unsupervised Heterogeneous Domain Adaptation via Shared Fuzzy Equivalence Relations. IEEE Trans. Fuzzy Syst. 26(6): 3555-3568 (2018) - [j124]Tinghua Wang, Jie Lu, Guangquan Zhang:
Two-Stage Fuzzy Multiple Kernel Learning Based on Hilbert-Schmidt Independence Criterion. IEEE Trans. Fuzzy Syst. 26(6): 3703-3714 (2018) - [j123]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Doubly Nonparametric Sparse Nonnegative Matrix Factorization Based on Dependent Indian Buffet Processes. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1835-1849 (2018) - [j122]Jorge Castro, Jie Lu, Guangquan Zhang, Yucheng Dong, Luis Martínez-López:
Opinion Dynamics-Based Group Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 48(12): 2394-2406 (2018) - 2017
- [j121]Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu:
Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access 5: 21029-21038 (2017) - [j120]Qian Zhang, Dianshuang Wu, Jie Lu, Feng Liu, Guangquan Zhang:
A cross-domain recommender system with consistent information transfer. Decis. Support Syst. 104: 49-63 (2017) - [j119]Junyu Xuan, Xiangfeng Luo, Jie Lu, Guangquan Zhang:
Explicitly and implicitly exploiting the hierarchical structure for mining website interests on news events. Inf. Sci. 420: 263-277 (2017) - [j118]Jialin Han, Jie Lu, Guangquan Zhang:
Tri-level decision-making for decentralized vendor-managed inventory. Inf. Sci. 421: 85-103 (2017) - [j117]Yi Zhang, Guangquan Zhang, Donghua Zhu, Jie Lu:
Scientific evolutionary pathways: Identifying and visualizing relationships for scientific topics. J. Assoc. Inf. Sci. Technol. 68(8): 1925-1939 (2017) - [j116]Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang:
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowl. Based Syst. 133: 255-268 (2017) - [j115]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
A Bayesian nonparametric model for multi-label learning. Mach. Learn. 106(11): 1787-1815 (2017) - [j114]Yi Zhang, Yue Qian, Ying Huang, Ying Guo, Guangquan Zhang, Jie Lu:
An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation. Scientometrics 111(3): 1925-1946 (2017) - [j113]Chao Yang, Donghua Zhu, Xuefeng Wang, Yi Zhang, Guangquan Zhang, Jie Lu:
Requirement-oriented core technological components' identification based on SAO analysis. Scientometrics 112(3): 1229-1248 (2017) - [j112]Mahardhika Pratama, Guangquan Zhang, Meng Joo Er, Sreenatha G. Anavatti:
An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. IEEE Trans. Cybern. 47(2): 339-353 (2017) - [j111]Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang:
Multirelational Social Recommendations via Multigraph Ranking. IEEE Trans. Cybern. 47(12): 4049-4061 (2017) - [j110]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Meng Joo Er:
An Incremental Learning of Concept Drifts Using Evolving Type-2 Recurrent Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 25(5): 1175-1192 (2017) - [j109]Jie Lu, Francisco Herrera, Guangquan Zhang:
Guest Editorial Special Section on Fuzzy Systems in Data Science. IEEE Trans. Fuzzy Syst. 25(6): 1373-1375 (2017) - [j108]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Vahid Behbood, Jie Lu:
Fuzzy Regression Transfer Learning in Takagi-Sugeno Fuzzy Models. IEEE Trans. Fuzzy Syst. 25(6): 1795-1807 (2017) - [j107]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Bayesian Nonparametric Relational Topic Model through Dependent Gamma Processes. IEEE Trans. Knowl. Data Eng. 29(7): 1357-1369 (2017) - 2016
- [j106]Ning Lu, Jie Lu, Guangquan Zhang, Ramón López de Mántaras:
A concept drift-tolerant case-base editing technique. Artif. Intell. 230: 108-133 (2016) - [j105]Wei Wang, Guangquan Zhang, Jie Lu:
Member contribution-based group recommender system. Decis. Support Syst. 87: 80-93 (2016) - [j104]Guangquan Zhang, Jialin Han, Jie Lu:
Fuzzy Bi-level Decision-Making Techniques: A Survey. Int. J. Comput. Intell. Syst. 9(sup1): 25-34 (2016) - [j103]Mahardhika Pratama, Jie Lu, Edwin Lughofer, Guangquan Zhang, Sreenatha G. Anavatti:
Scaffolding type-2 classifier for incremental learning under concept drifts. Neurocomputing 191: 304-329 (2016) - [j102]Jie Lu, Jialin Han, Yaoguang Hu, Guangquan Zhang:
Multilevel decision-making: A survey. Inf. Sci. 346-347: 463-487 (2016) - [j101]Jialin Han, Guangquan Zhang, Yaoguang Hu, Jie Lu:
A solution to bi/tri-level programming problems using particle swarm optimization. Inf. Sci. 370-371: 519-537 (2016) - [j100]Yue Zheng, Guangquan Zhang, Jialin Han, Jie Lu:
Pessimistic bilevel optimization model for risk-averse production-distribution planning. Inf. Sci. 372: 677-689 (2016) - [j99]Yi Zhang, Lining Shang, Lu Huang, Alan L. Porter, Guangquan Zhang, Jie Lu, Donghua Zhu:
A hybrid similarity measure method for patent portfolio analysis. J. Informetrics 10(4): 1108-1130 (2016) - [j98]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
A safety-critical decision support system evaluation using situation awareness and workload measures. Reliab. Eng. Syst. Saf. 150: 147-159 (2016) - [j97]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
Evolving Type-2 Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 24(3): 574-589 (2016) - [j96]Xiangfeng Luo, Junyu Xuan, Jie Lu, Guangquan Zhang:
Measuring the Semantic Uncertainty of News Events for Evolution Potential Estimation. ACM Trans. Inf. Syst. 34(4): 24:1-24:25 (2016) - [j95]Junyu Xuan, Xiangfeng Luo, Guangquan Zhang, Jie Lu, Zheng Xu:
Uncertainty Analysis for the Keyword System of Web Events. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 829-842 (2016) - 2015
- [j94]Jie Lu, Zheng Zheng, Guangquan Zhang, Qing He, Zhongzhi Shi:
A new solution algorithm for solving rule-sets based bilevel decision problems. Concurr. Comput. Pract. Exp. 27(4): 830-854 (2015) - [j93]Jie Lu, Dianshuang Wu, Mingsong Mao, Wei Wang, Guangquan Zhang:
Recommender system application developments: A survey. Decis. Support Syst. 74: 12-32 (2015) - [j92]Wei Wang, Guangquan Zhang, Jie Lu:
Collaborative Filtering with Entropy-Driven User Similarity in Recommender Systems. Int. J. Intell. Syst. 30(8): 854-870 (2015) - [j91]Jialin Han, Jie Lu, Yaoguang Hu, Guangquan Zhang:
Tri-level decision-making with multiple followers: Model, algorithm and case study. Inf. Sci. 311: 182-204 (2015) - [j90]Jie Lu, Vahid Behbood, Peng Hao, Hua Zuo, Shan Xue, Guangquan Zhang:
Transfer learning using computational intelligence: A survey. Knowl. Based Syst. 80: 14-23 (2015) - [j89]Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu:
A patent time series processing component for technology intelligence by trend identification functionality. Neural Comput. Appl. 26(2): 345-353 (2015) - [j88]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
An abnormal situation modeling method to assist operators in safety-critical systems. Reliab. Eng. Syst. Saf. 133: 33-47 (2015) - [j87]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Topic Model for Graph Mining. IEEE Trans. Cybern. 45(12): 2792-2803 (2015) - [j86]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A Fuzzy Preference Tree-Based Recommender System for Personalized Business-to-Business E-Services. IEEE Trans. Fuzzy Syst. 23(1): 29-43 (2015) - [j85]Vahid Behbood, Jie Lu, Guangquan Zhang, Witold Pedrycz:
Multistep Fuzzy Bridged Refinement Domain Adaptation Algorithm and Its Application to Bank Failure Prediction. IEEE Trans. Fuzzy Syst. 23(6): 1917-1935 (2015) - [j84]Dianshuang Wu, Jie Lu, Guangquan Zhang:
A Fuzzy Tree Matching-Based Personalized E-Learning Recommender System. IEEE Trans. Fuzzy Syst. 23(6): 2412-2426 (2015) - 2014
- [j83]Ning Lu, Guangquan Zhang, Jie Lu:
Concept drift detection via competence models. Artif. Intell. 209: 11-28 (2014) - [j82]Ya Gao, Guangquan Zhang, Jie Lu, Jun Ma:
A bi-Level Decision Model for Customer Churn Analysis. Comput. Intell. 30(3): 583-599 (2014) - [j81]Jun Ma, Jie Lu, Guangquan Zhang:
A three-level-similarity measuring method of participant opinions in multiple-criteria group decision supports. Decis. Support Syst. 59: 74-83 (2014) - [j80]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
An intelligent situation awareness support system for safety-critical environments. Decis. Support Syst. 59: 325-340 (2014) - [j79]Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Witold Pedrycz:
A fuzzy reliability assessment of basic events of fault trees through qualitative data processing. Fuzzy Sets Syst. 243: 50-69 (2014) - [j78]Julwan Hendry Purba, Jie Lu, Guangquan Zhang:
An Intelligent System by fuzzy reliability Algorithm in Fault Tree Analysis for nuclear Power plant Probabilistic Safety Assessment. Int. J. Comput. Intell. Appl. 13(3) (2014) - [j77]Vahid Behbood, Jie Lu, Guangquan Zhang:
Fuzzy Refinement Domain Adaptation for Long Term Prediction in Banking Ecosystem. IEEE Trans. Ind. Informatics 10(2): 1637-1646 (2014) - [j76]Ning Lu, Hua Lin, Jie Lu, Guangquan Zhang:
A Customer Churn Prediction Model in Telecom Industry Using Boosting. IEEE Trans. Ind. Informatics 10(2): 1659-1665 (2014) - 2013
- [j75]Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang:
A Web-Based Personalized Business Partner Recommendation System using Fuzzy Semantic Techniques. Comput. Intell. 29(1): 37-69 (2013) - [j74]Vahid Behbood, Jie Lu, Guangquan Zhang:
Fuzzy bridged Refinement Domain Adaptation: Long-Term Bank Failure Prediction. Int. J. Comput. Intell. Appl. 12(1) (2013) - [j73]Li Niu, Jie Lu, Guangquan Zhang, Dianshuang Wu:
FACETS: A cognitive business intelligence system. Inf. Syst. 38(6): 835-862 (2013) - [j72]Zui Zhang, Hua Lin, Kun Liu, Dianshuang Wu, Guangquan Zhang, Jie Lu:
A hybrid fuzzy-based personalized recommender system for telecom products/services. Inf. Sci. 235: 117-129 (2013) - [j71]Jie Lu, Li Niu, Guangquan Zhang:
A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems. IEEE Trans. Ind. Electron. 60(3): 1059-1069 (2013) - 2012
- [j70]Julwan Hendry Purba, Jie Lu, Guangquan Zhang, Da Ruan:
An Area defuzzification Technique to Assess nuclear Event Reliability Data from Failure Possibilities. Int. J. Comput. Intell. Appl. 11(4) (2012) - [j69]Guangquan Zhang, Yang Xu, Tianrui Li:
A special issue on new trends in Intelligent Decision Support Systems. Knowl. Based Syst. 32: 1-2 (2012) - [j68]Will Tao, Guangquan Zhang:
Trusted interaction approach for dynamic service selection using multi-criteria decision making technique. Knowl. Based Syst. 32: 116-122 (2012) - [j67]Jun Ma, Guangquan Zhang, Jie Lu:
A Method for Multiple Periodic Factor Prediction Problems Using Complex Fuzzy Sets. IEEE Trans. Fuzzy Syst. 20(1): 32-45 (2012) - [j66]Jie Lu, Guangquan Zhang, Javier Montero, Luis Garmendia:
Multifollower Trilevel Decision Making Models and System. IEEE Trans. Ind. Informatics 8(4): 974-985 (2012) - 2011
- [j65]Guangquan Zhang, Zheng Zheng, Jie Lu, Qing He:
An Algorithm for Solving Rule Sets-Based Bilevel Decision Problems. Comput. Intell. 27(2): 235-259 (2011) - [j64]Ruijun Zhang, Jie Lu, Guangquan Zhang:
A knowledge-based multi-role decision support system for ore blending cost optimization of blast furnaces. Eur. J. Oper. Res. 215(1): 194-203 (2011) - [j63]Dianshuang Wu, Jie Lu, Guangquan Zhang:
Similarity measure models and algorithms for hierarchical cases. Expert Syst. Appl. 38(12): 15049-15056 (2011) - [j62]Jie Zhang, Jie Lu, Guangquan Zhang:
A Seasonal Auto-Regressive Model Based Support Vector Regression Prediction Method for H5N1 avian Influenza Animal Events. Int. J. Comput. Intell. Appl. 10(2): 199-230 (2011) - [j61]Jie Zhang, Jie Lu, Guangquan Zhang:
Joint Sub-Classifiers One Class Classification Model for avian Influenza Outbreak Detection. Int. J. Comput. Intell. Appl. 10(4): 425-443 (2011) - [j60]Jie Lu, Guangquan Zhang:
Guest editorial: a special issue on optimization techniques for business intelligence systems. J. Glob. Optim. 51(2): 185-187 (2011) - [j59]Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee:
Particle swarm optimization for bi-level pricing problems in supply chains. J. Glob. Optim. 51(2): 245-254 (2011) - [j58]Ruijun Zhang, Jie Lu, Guangquan Zhang:
An information presentation method based on tree-like super entity component. J. Syst. Softw. 84(8): 1306-1318 (2011) - [j57]Jie Zhang, Jie Lu, Guangquan Zhang:
A Hybrid Knowledge-based Risk Prediction Method Using Fuzzy Logic and CBR for Avian Influenza Early Warning. J. Multiple Valued Log. Soft Comput. 17(4): 363-386 (2011) - [j56]Xiaowei Yang, Guangquan Zhang, Jie Lu, Jun Ma:
A Kernel Fuzzy c-Means Clustering-Based Fuzzy Support Vector Machine Algorithm for Classification Problems With Outliers or Noises. IEEE Trans. Fuzzy Syst. 19(1): 105-115 (2011) - [j55]Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu:
Competitive Strategic Bidding Optimization in Electricity Markets Using Bilevel Programming and Swarm Technique. IEEE Trans. Ind. Electron. 58(6): 2138-2146 (2011) - [j54]Jie Lu, Jun Ma, Guangquan Zhang, Yijun Zhu, Xianyi Zeng, Ludovic Koehl:
Theme-Based Comprehensive Evaluation in New Product Development Using Fuzzy Hierarchical Criteria Group Decision-Making Method. IEEE Trans. Ind. Electron. 58(6): 2236-2246 (2011) - 2010
- [j53]Jie Lu, Chao Wang, Guangquan Zhang, Jun Ma:
Collaborative management of web ontology data with flexible access control. Expert Syst. Appl. 37(5): 3737-3746 (2010) - [j52]Fei-Ching Kuo, Zhiquan Zhou, Jun Ma, Guangquan Zhang:
Metamorphic testing of decision support systems: a case study. IET Softw. 4(4): 294-301 (2010) - [j51]Tiefeng Zhang, Guangquan Zhang, Jun Ma, Jie Lu:
Power Distribution System Planning Evaluation by a Fuzzy Multi-Criteria Group Decision Support System. Int. J. Comput. Intell. Syst. 3(4): 474-485 (2010) - [j50]Jie Lu, Qusai Shambour, Yisi Xu, Qing Lin, Guangquan Zhang:
BizSeeker: A hybrid semantic recommendation system for personalized government-to-business e-services. Internet Res. 20(3): 342-365 (2010) - [j49]Guangquan Zhang, Jie Lu, Javier Montero, Yi Zeng:
Model, solution concept, and Kth-best algorithm for linear trilevel programming. Inf. Sci. 180(4): 481-492 (2010) - [j48]Guangquan Zhang, Jie Lu:
Fuzzy bilevel programming with multiple objectives and cooperative multiple followers. J. Glob. Optim. 47(3): 403-419 (2010) - [j47]Da Ruan, Jie Lu, Erik Laes, Guangquan Zhang, Jun Ma, Gaston Meskens:
Multi-criteria Group Decision Support with Linguistic Variables in Long-term Scenarios for Belgian Energy Policy. J. Univers. Comput. Sci. 16(1): 103-120 (2010) - [j46]Jie Lu, Da Ruan, Guangquan Zhang:
A special issue on Intelligent Decision Support and Warning Systems. Knowl. Based Syst. 23(1): 1-2 (2010) - [j45]Jun Ma, Jie Lu, Guangquan Zhang:
Decider: A fuzzy multi-criteria group decision support system. Knowl. Based Syst. 23(1): 23-31 (2010) - [j44]Jun Ma, Guangquan Zhang, Jie Lu:
A state-based knowledge representation approach for information logical inconsistency detection in warning systems. Knowl. Based Syst. 23(2): 125-131 (2010) - [j43]Xiaowei Yang, Jie Lu, Guangquan Zhang:
Adaptive pruning algorithm for least squares support vector machine classifier. Soft Comput. 14(7): 667-680 (2010) - [j42]Jie Lu, Guangquan Zhang:
A special issue on decision intelligence with soft computing. Soft Comput. 14(12): 1253-1254 (2010) - [j41]Jun Ma, Jie Lu, Guangquan Zhang:
Team situation awareness measure using semantic utility functions for supporting dynamic decision-making. Soft Comput. 14(12): 1305-1316 (2010) - [j40]Ya Gao, Guangquan Zhang, Jun Ma, Jie Lu:
A bm Lambda -Cut and Goal-Programming-Based Algorithm for Fuzzy-Linear Multiple-Objective Bilevel Optimization. IEEE Trans. Fuzzy Syst. 18(1): 1-13 (2010) - 2009
- [j39]Zheng Zheng, Jie Lu, Guangquan Zhang, Qing He:
Rule sets based bilevel decision model and algorithm. Expert Syst. Appl. 36(1): 18-26 (2009) - [j38]Jie Lu, Chenggang Bai, Guangquan Zhang:
Cost-benefit factor analysis in e-services using bayesian networks. Expert Syst. Appl. 36(3): 4617-4625 (2009) - [j37]Jun Ma, Jie Lu, Guangquan Zhang:
Information inconsistencies detection using a rule-map technique. Expert Syst. Appl. 36(10): 12510-12519 (2009) - [j36]Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang:
A linguistic multi-criteria group decision support system for fabric hand evaluation. Fuzzy Optim. Decis. Mak. 8(4): 395-413 (2009) - [j35]Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu:
Operation properties and delta-equalities of complex fuzzy sets. Int. J. Approx. Reason. 50(8): 1227-1249 (2009) - [j34]Ya Gao, Guangquan Zhang, Jie Lu:
A Fuzzy Multi-Objective bilevel Decision Support System. Int. J. Inf. Technol. Decis. Mak. 8(1): 93-108 (2009) - [j33]Chao Wang, Jie Lu, Guangquan Zhang:
Web ontology data matching for integration: method and framework. Int. J. Web Inf. Syst. 5(2): 220-238 (2009) - [j32]Guangquan Zhang, Jie Lu:
A linguistic intelligent user guide for method selection in multi-objective decision support systems. Inf. Sci. 179(14): 2299-2308 (2009) - 2008
- [j31]Jie Lu, Xiaowei Yang, Guangquan Zhang:
Support vector machine-based multi-source multi-attribute information integration for situation assessment. Expert Syst. Appl. 34(2): 1333-1340 (2008) - [j30]Jie Lu, Guangquan Zhang, Fengjie Wu:
Team Situation Awareness using Web-Based Fuzzy Group Decision Support Systems. Int. J. Comput. Intell. Syst. 1(1): 50-59 (2008) - [j29]Guangquan Zhang, Chenggen Shi, Jie Lu:
An Extended Kth-Best Approach For Referential-Uncooperative Bilevel Multi-Follower Decision Making. Int. J. Comput. Intell. Syst. 1(3): 205-214 (2008) - [j28]Ya Gao, Guangquan Zhang, Jie Lu, Tharam S. Dillon, Xianyi Zeng:
A lambda-Cut Approximate Algorithm for Goal-Based bilevel Risk Management Systems. Int. J. Inf. Technol. Decis. Mak. 7(4): 589-610 (2008) - [j27]Guangquan Zhang, Jie Lu, Ya Gao:
Fuzzy bilevel Programming: Multi-Objective and Multi-Follower with Shared Variables. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 16(Supplement-2): 105-133 (2008) - [j26]Guangquan Zhang, Jie Lu, Ya Gao:
An algorithm for fuzzy multi-objective multi-follower partial cooperative bilevel programming. J. Intell. Fuzzy Syst. 19(4-5): 303-319 (2008) - [j25]Jie Lu, Guangquan Zhang, Tharam S. Dillon:
Fuzzy Multi-objective Bilevel Decision Making by an Approximation Kth-Best Approach. J. Multiple Valued Log. Soft Comput. 14(3-5): 205-232 (2008) - [j24]Jie Lu, Guangquan Zhang, Da Ruan:
Intelligent multi-criteria fuzzy group decision-making for situation assessments. Soft Comput. 12(3): 289-299 (2008) - 2007
- [j23]Chenggen Shi, Hong Zhou, Jie Lu, Guangquan Zhang, Zhongwei Zhang:
The Kth-best approach for linear bilevel multifollower programming with partial shared variables among followers. Appl. Math. Comput. 188(2): 1686-1698 (2007) - [j22]Chao Wang, Jie Lu, Guangquan Zhang:
Mining key information of web pages: A method and its application. Expert Syst. Appl. 33(2): 425-433 (2007) - [j21]Jun Ma, Da Ruan, Yang Xu, Guangquan Zhang:
A fuzzy-set approach to treat determinacy and consistency of linguistic terms in multi-criteria decision making. Int. J. Approx. Reason. 44(2): 165-181 (2007) - [j20]Jun Ma, Da Ruan, Yang Xu, Guangquan Zhang:
Erratum to "A fuzzy-set approach to treat determinacy and consistency of linguistic terms in multi-criteria decision making" [Int. J. Approx. Reasoning 44 (2007) 165-181]. Int. J. Approx. Reason. 46(1): 254 (2007) - [j19]Jie Lu, Da Ruan, Guangquan Zhang, Hans-Jürgen Zimmermann:
Editorial: A special issue on e-service intelligence. Int. J. Intell. Syst. 22(5): 397-400 (2007) - [j18]Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan:
An Extended Branch and Bound Algorithm for bilevel Multi-Follower Decision Making in a Referential-Uncooperative Situation. Int. J. Inf. Technol. Decis. Mak. 6(2): 371-388 (2007) - [j17]Guangquan Zhang, Jie Lu:
Model and approach of fuzzy bilevel decision making for logistics planning problem. J. Enterp. Inf. Manag. 20(2): 178-197 (2007) - [j16]Jie Lu, Chenggen Shi, Guangquan Zhang, Tharam S. Dillon:
Model and extended Kuhn-Tucker approach for bilevel multi-follower decision making in a referential-uncooperative situation. J. Glob. Optim. 38(4): 597-608 (2007) - [j15]Jie Lu, Fengjie Wu, Guangquan Zhang:
On a generalized fuzzy goal optimization for solving fuzzy multi-objective linear programming problems. J. Intell. Fuzzy Syst. 18(1): 83-97 (2007) - [j14]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
Decentralized multi-objective bilevel decision making with fuzzy demands. Knowl. Based Syst. 20(5): 495-507 (2007) - [j13]Jie Lu, Da Ruan, Fengjie Wu, Guangquan Zhang:
An alpha-Fuzzy Goal Approximate Algorithm for Solving Fuzzy Multiple Objective Linear Programming Problems. Soft Comput. 11(3): 259-267 (2007) - 2006
- [j12]Fengjie Wu, Jie Lu, Guangquan Zhang:
A new approximate algorithm for solving multiple objective linear programming problems with fuzzy parameters. Appl. Math. Comput. 174(1): 524-544 (2006) - [j11]Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou:
An extended branch and bound algorithm for linear bilevel programming. Appl. Math. Comput. 180(2): 529-537 (2006) - [j10]Jie Lu, Chenggen Shi, Guangquan Zhang:
On bilevel multi-follower decision making: General framework and solutions. Inf. Sci. 176(11): 1607-1627 (2006) - 2005
- [j9]Chenggen Shi, Guangquan Zhang, Jie Lu:
On the definition of linear bilevel programming solution. Appl. Math. Comput. 160(1): 169-176 (2005) - [j8]Chenggen Shi, Jie Lu, Guangquan Zhang:
An extended Kuhn-Tucker approach for linear bilevel programming. Appl. Math. Comput. 162(1): 51-63 (2005) - [j7]Chenggen Shi, Jie Lu, Guangquan Zhang:
An extended Kth-best approach for linear bilevel programming. Appl. Math. Comput. 164(3): 843-855 (2005) - [j6]Jie Lu, Guangquan Zhang, Fengjie Wu:
Web-based Multi-Criteria Group Decision Support System with Linguistic Term Processing Function. IEEE Intell. Informatics Bull. 5(1): 34-43 (2005) - [j5]Guangquan Zhang, Jie Lu:
The Definition of Optimal Solution and an Extended Kuhn-Tucker Approach for Fuzzy Linear Bilevel Programming. IEEE Intell. Informatics Bull. 6(2): 1-7 (2005) - [j4]Chenggen Shi, Guangquan Zhang, Jie Lu:
The K th-Best Approach for Linear Bilevel Multi-follower Programming. J. Glob. Optim. 33(4): 563-578 (2005) - 2003
- [j3]Guangquan Zhang, Yonghong Wu, M. Remias, Jie Lu:
Formulation of fuzzy linear programming problems as four-objective constrained optimization problems. Appl. Math. Comput. 139(2-3): 383-399 (2003) - 2001
- [j2]Gert De Cooman, Guangquan Zhang, Etienne E. Kerre:
Possibility measures and possibility integrals defined on a complete lattice. Fuzzy Sets Syst. 120(3): 459-467 (2001) - 1999
- [j1]Yian-Kui Liu, Guangquan Zhang:
On the completeness of fuzzy measure-space. Fuzzy Sets Syst. 102(2): 345-351 (1999)
Conference and Workshop Papers
- 2024
- [c159]En Yu, Jie Lu, Bin Zhang, Guangquan Zhang:
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. AAAI 2024: 16522-16530 - 2023
- [c158]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
An Augmented Learning Approach for Multiple Data Streams Under Concept Drift. AI (1) 2023: 391-402 - [c157]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Attention-Bridging TS Fuzzy Rules for Universal Multi-Domain Adaptation Without Source Data. FUZZ 2023: 1-6 - [c156]Guangzhi Ma, Jie Lu, Guangquan Zhang:
Interval-Valued Observations-Based Multi-Source Domain Adaptation Using Fuzzy Neural Networks. FUZZ 2023: 1-6 - [c155]Mengjia Wu, Yi Zhang, Hua Lin, Mark Grosser, Guangquan Zhang, Jie Lu:
BiblioEngine: An AI-Empowered Platform for Disease Genetic Knowledge Mining. HIS 2023: 187-198 - [c154]Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang:
Meta OOD Learning For Continuously Adaptive OOD Detection. ICCV 2023: 19296-19307 - [c153]Guohang Zeng, Zhen Fang, Guangquan Zhang, Jie Lu:
One-step Domain Adaptation Approach with Partial Label. IJCNN 2023: 1-8 - [c152]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Incomplete Source Label Spaces. KES 2023: 2343-2350 - [c151]Pham Minh Thu Do, Qian Zhang, Guangquan Zhang, Jie Lu:
meta-GRS: A Graph Neural Network for Cross-Domain Recommender System via Meta-Learning. KES 2023: 2536-2545 - [c150]Kun Wang, Jie Lu, Anjin Liu, Guangquan Zhang:
TCR-M: A Topic Change Recognition-based Method for Data Stream Learning. KES 2023: 3001-3010 - 2022
- [c149]Zhaoqing Liu, Anjin Liu, Guangquan Zhang, Jie Lu:
An Empirical Study of Fuzzy Decision Tree for Gradient Boosting Ensemble. AI 2022: 716-727 - [c148]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Source-Free Multi-Domain Adaptation with Generally Auxiliary Model Training. IJCNN 2022: 1-8 - 2021
- [c147]Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? AAAI 2021: 11079-11087 - [c146]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Fuzzy-Rule based Deep Neural Networks. FUZZ-IEEE 2021: 1-6 - [c145]Guangzhi Ma, Feng Liu, Guangquan Zhang, Jie Lu:
Learning from Imprecise Observations: An Estimation Error Bound based on Fuzzy Random Variables. FUZZ-IEEE 2021: 1-8 - [c144]Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang:
Learning Bounds for Open-Set Learning. ICML 2021: 3122-3132 - [c143]Ming Zhou, Yiliao Song, Guangquan Zhang, Bin Zhang, Jie Lu:
An Efficient Bayesian Neural Network for Multiple Data Streams. IJCNN 2021: 1-8 - 2020
- [c142]Hang Yu, Anjin Liu, Bin Wang, Ruimin Li, Guangquan Zhang, Jie Lu:
Real-Time Decision Making for Train Carriage Load Prediction via Multi-stream Learning. Australasian Conference on Artificial Intelligence 2020: 29-41 - [c141]Kun Wang, Anjin Liu, Jie Lu, Guangquan Zhang, Li Xiong:
An Elastic Gradient Boosting Decision Tree for Concept Drift Learning. Australasian Conference on Artificial Intelligence 2020: 420-432 - [c140]Feng Liu, Guangquan Zhang, Jie Lu:
A Novel Non-parametric Two-Sample Test on Imprecise Observations. FUZZ-IEEE 2020: 1-6 - [c139]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Fuzzy Drift Correlation Matrix for Multiple Data Stream Regression. FUZZ-IEEE 2020: 1-6 - [c138]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. ICML 2020: 6316-6326 - [c137]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. IJCAI 2020: 2526-2532 - [c136]Qian Zhang, Jie Lu, Guangquan Zhang:
Cross-Domain Recommendation with Multiple Sources. IJCNN 2020: 1-7 - [c135]Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Domain Adaptation with Distribution Fusion and Relationship Extraction. IJCNN 2020: 1-6 - [c134]Anjin Liu, Guangquan Zhang, Kun Wang, Jie Lu:
Fast Switch Naïve Bayes to Avoid Redundant Update for Concept Drift Learning. IJCNN 2020: 1-7 - [c133]Hua Zuo, Jie Lu, Guangquan Zhang:
Multiple-source Domain Adaptation in Rule-based Neural Network. IJCNN 2020: 1-6 - 2019
- [c132]Feng Liu, Guangquan Zhang, Jie Lu:
A Novel Fuzzy Neural Network for Unsupervised Domain Adaptation in Heterogeneous Scenarios. FUZZ-IEEE 2019: 1-6 - [c131]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Noise-tolerant Fuzzy c-Means based Drift Adaptation Method for Data Stream Regression. FUZZ-IEEE 2019: 1-6 - [c130]Hua Zuo, Guangquan Zhang, Witold Pedrycz, Jie Lu:
Domain Selection of Transfer Learning in Fuzzy Prediction Models. FUZZ-IEEE 2019: 1-6 - [c129]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
One-Stage Deep Instrumental Variable Method for Causal Inference from Observational Data. ICDM 2019: 419-428 - [c128]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Transfer Learning in Heterogeneous Space Using Takagi-Sugeno Fuzzy Models. IFSA/NAFIPS 2019: 752-763 - [c127]Dennis Chow, Anjin Liu, Guangquan Zhang, Jie Lu:
Knowledge graph-based entity importance learning for multi-stream regression on Australian fuel price forecasting. IJCNN 2019: 1-8 - [c126]Zhen Fang, Jie Lu, Feng Liu, Guangquan Zhang:
Unsupervised Domain Adaptation with Sphere Retracting Transformation. IJCNN 2019: 1-8 - [c125]Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang:
RsyGAN: Generative Adversarial Network for Recommender Systems. IJCNN 2019: 1-7 - [c124]Hang Yu, Jie Lu, Jialu Xu, Guangquan Zhang:
A Hybrid Incremental Regression Neural Network for Uncertain Data Streams. IJCNN 2019: 1-8 - [c123]Qian Zhang, Peng Hao, Jie Lu, Guangquan Zhang:
Cross-domain Recommendation with Semantic Correlation in Tagging Systems. IJCNN 2019: 1-8 - [c122]Bin Zhang, Jie Lu, Guangquan Zhang:
Drift Adaptation via Joint Distribution Alignment. ISKE 2019: 498-504 - [c121]Qian Zhang, Di Zhang, Jie Lu, Guangquan Zhang, Wei Qu, Mark Cohen:
A Recommender System for Cold-start Items: A Case Study in the Real Estate Industry. ISKE 2019: 1185-1192 - [c120]Yi Zhang, Yihe Zhu, Lu Huang, Guangquan Zhang, Jie Lu:
Characterizing the Potential of Being Emerging Generic Technologies: A Bi-Layer Network Analytics-based Prediction Method. ISSI 2019: 1436-1447 - [c119]Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang:
Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting. KDD 2019: 2087-2095 - [c118]Ruiping Yin, Kan Li, Jie Lu, Guangquan Zhang:
Enhancing Fashion Recommendation with Visual Compatibility Relationship. WWW 2019: 3434-3440 - 2018
- [c117]Qian Liu, Heyan Huang, Guangquan Zhang, Yang Gao, Junyu Xuan, Jie Lu:
Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence. AAAI 2018: 5261-5268 - [c116]Yi Zhang, Ximeng Wang, Guangquan Zhang, Jie Lu:
Predicting the dynamics of scientific activities: A diffusion-based network analytic methodology. ASIST 2018: 598-607 - [c115]Zheng Yan, Jie Lu, Guangquan Zhang:
Distributed Model Predictive Control of Linear Systems with Coupled Constraints Based on Collective Neurodynamic Optimization. Australasian Conference on Artificial Intelligence 2018: 318-328 - [c114]Fujin Zhu, Adi Lin, Guangquan Zhang, Jie Lu:
Counterfactual Inference with Hidden Confounders Using Implicit Generative Models. Australasian Conference on Artificial Intelligence 2018: 519-530 - [c113]Feng Liu, Guangquan Zhang, Jie Lu:
Unconstrained fuzzy feature fusion for heterogeneous unsupervised domain adaptation. FUZZ-IEEE 2018: 1-8 - [c112]Yiliao Song, Guangquan Zhang, Haiyan Lu, Jie Lu:
A Self-adaptive Fuzzy Network for Prediction in Non-stationary Environments. FUZZ-IEEE 2018: 1-8 - [c111]Hang Yu, Jie Lu, Guangquan Zhang, Dianshuang Wu:
A Dual Neural Network Based On Confidence Intervals For Fuzzy Random Regression Problems. FUZZ-IEEE 2018: 1-8 - [c110]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Deep Multi-task Learning for Air Quality Prediction. ICONIP (5) 2018: 93-103 - [c109]Qian Zhang, Dianshuang Wu, Jie Lu, Guangquan Zhang:
Cross-domain Recommendation with Probabilistic Knowledge Transfer. ICONIP (3) 2018: 208-219 - [c108]Hua Zuo, Guangquan Zhang, Jie Lu:
Fuzzy Domain Adaptation Using Unlabeled Target Data. ICONIP (3) 2018: 242-250 - [c107]Bin Wang, Zheng Yan, Jie Lu, Guangquan Zhang, Tianrui Li:
Explore Uncertainty in Residual Networks for Crowds Flow Prediction. IJCNN 2018: 1-7 - [c106]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. IJCNN 2018: 1-6 - [c105]Hang Yu, Jie Lu, Guangquan Zhang:
An Incremental Dual nu-Support Vector Regression Algorithm. PAKDD (2) 2018: 522-533 - [c104]Qian Zhang, Jie Lu, Dianshuang Wu, Guangquan Zhang:
Cross-domain Recommendation with Consistent Knowledge Transfer by Subspace Alignment. WISE (2) 2018: 67-82 - 2017
- [c103]Qian Liu, Heyan Huang, Jie Lu, Yang Gao, Guangquan Zhang:
Enhanced word embedding similarity measures using fuzzy rules for query expansion. FUZZ-IEEE 2017: 1-6 - [c102]Feng Liu, Guangquan Zhang, Jie Lu:
Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion. FUZZ-IEEE 2017: 1-6 - [c101]Anjin Liu, Guangquan Zhang, Jie Lu:
Fuzzy time windowing for gradual concept drift adaptation. FUZZ-IEEE 2017: 1-6 - [c100]Yiliao Song, Guangquan Zhang, Jie Lu, Haiyan Lu:
A fuzzy kernel c-means clustering model for handling concept drift in regression. FUZZ-IEEE 2017: 1-6 - [c99]Ruiping Yin, Kan Li, Guangquan Zhang, Jie Lu:
Detecting overlapping protein complexes in dynamic protein-protein interaction networks by developing a fuzzy clustering algorithm. FUZZ-IEEE 2017: 1-6 - [c98]Hua Zuo, Guangquan Zhang, Jie Lu, Witold Pedrycz:
Fuzzy rule-based transfer learning for label space adaptation. FUZZ-IEEE 2017: 1-6 - [c97]Anjin Liu, Yiliao Song, Guangquan Zhang, Jie Lu:
Regional Concept Drift Detection and Density Synchronized Drift Adaptation. IJCAI 2017: 2280-2286 - [c96]Guanjin Wang, Guangquan Zhang, Kup-Sze Choi, Kin-Man Lam, Jie Lu:
An output-based knowledge transfer approach and its application in bladder cancer prediction. IJCNN 2017: 356-363 - [c95]Fujin Zhu, Guangquan Zhang, Jie Lu, Donghua Zhu:
First-order causal process for causal modelling with instantaneous and cross-temporal relations. IJCNN 2017: 380-387 - [c94]Fan Dong, Jie Lu, Kan Li, Guangquan Zhang:
Concept drift region identification via competence-based discrepancy distribution estimation. ISKE 2017: 1-7 - [c93]Jialin Han, Shuping Wan, Jie Lu, Guangquan Zhang:
Tri-level multi-follower decision-making in a partial-cooperative situation. ISKE 2017: 1-6 - [c92]Dan Shang, Guangquan Zhang, Jie Lu:
Fast concept drift detection using singular vector decomposition. ISKE 2017: 1-6 - [c91]Hang Yu, Jie Lu, Guangquan Zhang:
Learning a fuzzy decision tree from uncertain data. ISKE 2017: 1-7 - 2016
- [c90]Anjin Liu, Guangquan Zhang, Jie Lu, Ning Lu, Chin-Teng Lin:
An Online Competence-Based Concept Drift Detection Algorithm. Australasian Conference on Artificial Intelligence 2016: 416-428 - [c89]Tiefeng Zhang, Mingdi Gu, Guangquan Zhang, Jie Lu:
A fast load pattern extraction approach based on dimension reduction and sampling. FUZZ-IEEE 2016: 1253-1258 - [c88]Peng Hao, Guangquan Zhang, Jie Lu:
Enhancing cross domain recommendation with domain dependent tags. FUZZ-IEEE 2016: 1266-1273 - [c87]Qian Zhang, Dianshuang Wu, Guangquan Zhang, Jie Lu:
Fuzzy user-interest drift detection based recommender systems. FUZZ-IEEE 2016: 1274-1281 - [c86]Yu-Ting Liu, Shang-Lin Wu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Wen-Chieh Lin, Chin-Teng Lin:
Driving fatigue prediction with pre-event electroencephalography (EEG) via a recurrent fuzzy neural network. FUZZ-IEEE 2016: 2488-2494 - [c85]Shang-Lin Wu, Yu-Ting Liu, Kuang-Pen Chou, Yang-Yin Lin, Jie Lu, Guangquan Zhang, Chun-Hsiang Chuang, Wen-Chieh Lin, Chin-Teng Lin:
A motor imagery based brain-computer interface system via swarm-optimized fuzzy integral and its application. FUZZ-IEEE 2016: 2495-2500 - [c84]Feng Gu, Guangquan Zhang, Jie Lu, Chin-Teng Lin:
Concept drift detection based on equal density estimation. IJCNN 2016: 24-30 - [c83]Shan Xue, Jie Lu, Jia Wu, Guangquan Zhang, Li Xiong:
Multi-instance graphical transfer clustering for traffic data learning. IJCNN 2016: 4390-4395 - 2015
- [c82]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu:
Feature Spaces-based Transfer Learning. IFSA-EUSFLAT 2015 - [c81]Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu:
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. FUZZ-IEEE 2015: 1-7 - [c80]Mingsong Mao, Jie Lu, Guangquan Zhang, Jinlong Zhang:
A fuzzy content matching-based e-Commerce recommendation approach. FUZZ-IEEE 2015: 1-8 - [c79]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
An incremental interval Type-2 neural fuzzy Classifier. FUZZ-IEEE 2015: 1-8 - [c78]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process. ICDM 2015: 489-498 - [c77]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
SEIR Immune Strategy for Instance Weighted Naive Bayes Classification. ICONIP (1) 2015: 283-292 - [c76]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
Heterogeneous Feature Space Based Task Selection Machine for Unsupervised Transfer Learning. ISKE 2015: 46-51 - [c75]Hua Zuo, Guangquan Zhang, Vahid Behbood, Jie Lu, Xianli Meng:
Transfer Learning in Hierarchical Feature Spaces. ISKE 2015: 183-188 - [c74]Qian Zhang, Guangquan Zhang, Jie Lu, Dianshuang Wu:
A Framework of Hybrid Recommender System for Personalized Clinical Prescription. ISKE 2015: 189-195 - [c73]Jialin Han, Yaoguang Hu, Guangquan Zhang, Jie Lu:
A Compromise-Based Particle Swarm Optimization Algorithm for Solving Bi-Level Programming Problems with Fuzzy Parameters. ISKE 2015: 214-221 - [c72]Chao Yang, Donghua Zhu, Guangquan Zhang:
Semantic-Based Technology Trend Analysis. ISKE 2015: 222-228 - [c71]Mahardhika Pratama, Jie Lu, Guangquan Zhang:
A Novel Meta-Cognitive Extreme Learning Machine to Learning from Data Streams. SMC 2015: 2792-2797 - 2014
- [c70]Hong Zhou, Jie Lu, Guangquan Zhang:
An extended bilevel programming model and its kth-best algorithm for dynamic decision making in emergency situations. MCDM 2014: 100-105 - [c69]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A fuzzy tree matching-based personalised e-learning recommender system. FUZZ-IEEE 2014: 1898-1904 - [c68]Tiefeng Zhang, Guangquan Zhang, Jie Lu, Jianwei Gu:
A novel evaluation approach for power distribution system planning based on linear programming model and ELECTRE III. FUZZ-IEEE 2014: 1921-1928 - [c67]Anjin Liu, Guangquan Zhang, Jie Lu:
Concept Drift Detection Based on Anomaly Analysis. ICONIP (1) 2014: 263-270 - [c66]Jialin Han, Guangquan Zhang, Jie Lu, Yaoguang Hu, Shuyuan Ma:
Model and Algorithm for Multi-follower Tri-level Hierarchical Decision-Making. ICONIP (3) 2014: 398-406 - [c65]Junyu Xuan, Jie Lu, Guangquan Zhang, Xiangfeng Luo:
Extension of similarity measures in VSM: From orthogonal coordinate system to affine coordinate system. IJCNN 2014: 4084-4091 - 2013
- [c64]Jie Lu, Guangquan Zhang, Jun Ma, Fengjie Wu, Chao Wang, Jack Zhang, Julwan Hendry Purba:
In the Days since Da Passed Away: Our Best Adjunct Professor and Best Friend. A Tribute to Prof. Dr. Da Ruan 2013: 121-136 - [c63]Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long:
Optimal Cloud Resource Auto-Scaling for Web Applications. CCGRID 2013: 58-65 - [c62]Zhen Zhang, Guangquan Zhang, Jie Lu, Chonghui Guo:
A fuzzy tri-level decision making algorithm and its application in supply chain. EUSFLAT Conf. 2013 - [c61]Vahid Behbood, Jie Lu, Guangquan Zhang:
Text categorization by fuzzy domain adaptation. FUZZ-IEEE 2013: 1-7 - [c60]Mohsen Naderpour, Jie Lu, Guangquan Zhang:
A fuzzy dynamic bayesian network-based situation assessment approach. FUZZ-IEEE 2013: 1-8 - [c59]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A fuzzy tree similarity based recommendation approach for telecom products. IFSA/NAFIPS 2013: 813-818 - [c58]Jun Ma, H. Lin, Jie Lu, Guangquan Zhang:
A hybrid model for migrating customer segmentation with missing attributes. IFSA/NAFIPS 2013: 825-830 - [c57]Hongshu Chen, Guangquan Zhang, Jie Lu:
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. SMC 2013: 3477-3482 - [c56]Dianshuang Wu, Guangquan Zhang, Jie Lu:
A Fuzzy Tree Similarity Measure and Its Application in Telecom Product Recommendation. SMC 2013: 3483-3488 - 2012
- [c55]Hua Lin, Guangquan Zhang:
Risk Prediction Framework and Model for Bank External Fund Attrition. IPMU (1) 2012: 170-180 - 2011
- [c54]Jie Zhang, Jie Lu, Guangquan Zhang:
Combining one class classification models for avian influenza outbreaks. MCDM 2011: 190-196 - [c53]Jing Jiang, Jie Lu, Guangquan Zhang:
An Innovative Self-Adaptive Configuration Optimization System in Cloud Computing. DASC 2011: 621-627 - [c52]Vahid Behbood, Jie Lu, Guangquan Zhang:
Long term bank failure prediction using Fuzzy Refinement-based Transductive Transfer learning. FUZZ-IEEE 2011: 2676-2683 - [c51]Dianshuang Wu, Guangquan Zhang:
Fuzzy Similarity Measure Model for Trees with Duplicated Attributes. NL-MUA 2011: 333-340 - [c50]Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long:
Scaling-Up Item-Based Collaborative Filtering Recommendation Algorithm Based on Hadoop. SERVICES 2011: 490-497 - 2010
- [c49]Guangquan Zhang, Tharam S. Dillon, Kai-Yuan Cai, Jun Ma, Jie Lu:
Delta-equalities of Complex Fuzzy Relations. AINA 2010: 1218-1224 - [c48]Julwan Hendry Purba, Jie Lu, Da Ruan, Guangquan Zhang:
A Hybrid Approach for Fault Tree Analysis Combining Probabilistic Method with Fuzzy Numbers. ICAISC (1) 2010: 194-201 - [c47]Ning Lu, Guangquan Zhang, Jie Lu:
Detecting Change via Competence Model. ICCBR 2010: 201-212 - [c46]Guo-Li Zhang, Haiyan Lu, Guangquan Zhang:
A new hybrid evolutionary algorithm with quasi-simplex technique. ICMLC 2010: 1811-1816 - [c45]Dianshuang Wu, Jie Lu, Guangquan Zhang, Hua Lin:
A fuzzy matching based recommendation approach for mobile products/services. ISDA 2010: 645-650 - [c44]Tiefeng Zhang, Jie Lu, Guangquan Zhang, Qian Ding:
Fault diagnosis of transformer using association rule mining and knowledge base. ISDA 2010: 737-742 - [c43]Vahid Behbood, Jie Lu, Guangquan Zhang:
Adaptive inference-based learning and rule generation algorithms in Fuzzy Neural Network for failure prediction. ISKE 2010: 33-38 - [c42]Dianshuang Wu, Jie Lu, Guangquan Zhang:
A hybrid recommendation approach for hierarchical items. ISKE 2010: 492-497 - [c41]Tiefeng Zhang, Lisong Liang, Jie Lu, Hua Lin, Guangquan Zhang:
A Knowledge-based Efficiency Assessment System for Distribution Network using Data Envelopment Analysis. RCIS 2010: 331-336 - 2009
- [c40]Jun Ma, Guangquan Zhang, Jie Lu, Da Ruan:
Impute Missing Assessments by Opinion Clustering in Multi-Criteria Group Decision Making Problems. IFSA/EUSFLAT Conf. 2009: 555-560 - [c39]Ya Gao, Guangquan Zhang, Jie Lu, Hui-Ming Wee:
A Fuzzy Bi-level Pricing Model and a PSO Based Algorithm in Supply Chains. ICONIP (2) 2009: 226-233 - [c38]Ning Lu, Jie Lu, Guangquan Zhang:
Maintaining Footprint-Based Retrieval for Case Deletion. ICONIP (2) 2009: 318-325 - [c37]Madhu Lata Goyal, Guangquan Zhang:
Using attribute and attitude assessment for bidding in automated auctions. iiWAS 2009: 380-384 - [c36]Ning Lu, Jie Lu, Guangquan Zhang:
An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems. KES (2) 2009: 372-379 - [c35]Guangquan Zhang, Guoli Zhang, Ya Gao, Jie Lu:
A Fuzzy Bilevel Model and a PSO-Based Algorithm for Day-Ahead Electricity Market Strategy Making. KES (2) 2009: 736-744 - [c34]Hui-Ming Wee, Jie Lu, Guangquan Zhang, Huai-En Chiao, Ya Gao:
A Decision Making Model for Vendor-Buyer Inventory Systems. RSFDGrC 2009: 336-343 - [c33]Ya Gao, Guangquan Zhang, Jie Lu:
A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers. SAC 2009: 1075-1079 - [c32]Guangquan Zhang, Jie Lu, Ya Gao, Guoli Zhang:
A Bilevel Optimization Model and a PSO-based Algorithm in Day-ahead Electricity Markets. SMC 2009: 611-616 - [c31]Guangquan Zhang, Jie Zhang, Jie Lu:
A Hybrid Knowledge-based Prediction Method for Avian Influenza Early Warning. SMC 2009: 617-622 - 2008
- [c30]Jie Lu, Yijun Zhu, Xianyi Zeng, Ludovic Koehl, Jun Ma, Guangquan Zhang:
A Fuzzy Decision Support System for Garment New Product Development. Australasian Conference on Artificial Intelligence 2008: 532-543 - [c29]Ya Gao, Guangquan Zhang, Jie Lu:
A particle swarm optimization based algorithm for fuzzy bilevel decision making. FUZZ-IEEE 2008: 1452-1457 - [c28]Jie Lu, Xiaoguang Deng, Philippe Vroman, Xianyi Zeng, Jun Ma, Guangquan Zhang:
A fuzzy multi-criteria group decision support system for nonwoven based cosmetic product development evaluation. FUZZ-IEEE 2008: 1700-1707 - [c27]Chao Wang, Jie Lu, Guangquan Zhang:
An ontology data matching method for web information integration. iiWAS 2008: 208-213 - [c26]Jun Ma, Guangquan Zhang:
Team Situation Awareness measurement using group aggregation and implication operators. ISKE 2008: 625-630 - [c25]Zi Lu, Ruiling Han, Peipei Zhang, Yiming Ren, Guangquan Zhang:
An intelligent evaluation system for tourism websites in Shijiazhuang city. ISKE 2008: 1404-1408 - [c24]Ya Gao, Guangquan Zhang, Jie Lu:
A Particle Swarm Optimization Based Algorithm for Fuzzy Bilevel Decision Making with Objective-Shared Followers. SEAL 2008: 190-199 - [c23]Li Niu, Guangquan Zhang:
A Model of Cognition-Driven Decision Process for Business Intelligence. Web Intelligence 2008: 876-879 - 2007
- [c22]Jun Ma, Jie Lu, Guangquan Zhang:
A Two-level Information Filtering Model in Generating Warning Information. MCDM 2007: 354-359 - [c21]Fengjie Wu, Jie Lu, Guangquan Zhang, Da Ruan:
The Development of A Fuzzy Multi-Objective Group Decision Support System. FUZZ-IEEE 2007: 1-6 - [c20]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
Models and Algorithm for Fuzzy Multi-objective Multi-follower Linear Bilevel Programming. FUZZ-IEEE 2007: 1-6 - [c19]Li Niu, Jie Lu, Guangquan Zhang:
Enriching Executives' Situation Awareness and Mental Models - A Conceptual ESS Framework. ICEIS (2) 2007: 510-516 - [c18]Chao Wang, Jie Lu, Guangquan Zhang:
A Constrained Clustering Approach to Duplicate Detection Among Relational Data. PAKDD 2007: 308-319 - [c17]Chao Wang, Jie Lu, Guangquan Zhang:
Generation and Matching of Ontology Data for the Semantic Web in a Peer-to-Peer Framework. APWeb/WAIM 2007: 136-143 - [c16]Li Niu, Jie Lu, Eng Chew, Guangquan Zhang:
An Exploratory Cognitive Business Intelligence System. Web Intelligence 2007: 812-815 - [c15]Chao Wang, Jie Lu, Guangquan Zhang, Xianyi Zeng:
Creating and Managing Ontology Data on the Web: A Semantic Wiki Approach. WISE 2007: 513-522 - 2006
- [c14]Zheng Zheng, Guangquan Zhang, Qing He, Jie Lu, Zhongzhi Shi:
Rule sets based bilevel decision model. ACSC 2006: 113-120 - [c13]Zi Lu, Jie Lu, Chenggang Bai, Guangquan Zhang:
Customer Online Shopping Behaviours Analysis Using Bayesian Networks. Australian Conference on Artificial Intelligence 2006: 1293-1297 - [c12]Madhu Lata Goyal, Jie Lu, Guangquan Zhang:
A Novel Fuzzy Attitude Based Bidding Strategy for Multi-attribute Auction. IAT Workshops 2006: 535-539 - [c11]Zhifeng Hao, Wen Wen, Xiaowei Yang, Jie Lu, Guangquan Zhang:
A Fast Data Preprocessing Procedure for Support Vector Regression. IDEAL 2006: 48-56 - [c10]Chao Wang, Jie Lu, Guangquan Zhang:
Integration of Ontology Data through Learning Instance Matching. Web Intelligence 2006: 536-539 - 2005
- [c9]Xuetao Guo, Guangquan Zhang, Eng Chew, Steve Burdon:
A Hybrid Recommendation Approach for One-and-Only Items. Australian Conference on Artificial Intelligence 2005: 457-466 - [c8]Madhu Lata Goyal, Jie Lu, Guangquan Zhang:
Negotiating Multi-Issue e-Market Auction through Fuzzy Attitudes. CIMCA/IAWTIC 2005: 922-927 - [c7]Fengjie Wu, Jie Lu, Guangquan Zhang:
A decision support system prototype for fuzzy multiple objective optimization. EUSFLAT Conf. 2005: 985-990 - [c6]Jie Lu, Chenggen Shi, Guangquan Zhang, Da Ruan:
Multi-follower linear bilevel programming: model and Kuhn-Tucker approach. IADIS AC 2005: 81-88 - [c5]Fengjie Wu, Jie Lu, Guangquan Zhang:
Development and Implementation on a Fuzzy Multiple Objective Decision Support System. KES (1) 2005: 261-267 - [c4]Chenggen Shi, Jie Lu, Guangquan Zhang, Hong Zhou:
An extended Kuhn-Tucker approach for linear bilevel multifollower programming with partial shared variables among followers. SMC 2005: 3350-3357 - [c3]Chao Wang, Jie Lu, Guangquan Zhang:
A Semantic Classification Approach for Online Product Reviews. Web Intelligence 2005: 276-279 - 2004
- [c2]Fengjie Wu, Jie Lu, Guangquan Zhang:
A Decision Support System for Multiple Objective Linear Programming with Fuzzy Parameters. EEE 2004: 425-429 - [c1]Xuetao Guo, Jie Lu, Guangquan Zhang:
A recommender system by two-level collaborative filtering. IASTED Conf. on Software Engineering and Applications 2004: 65-69
Parts in Books or Collections
- 2011
- [p6]Jun Ma, Guangquan Zhang, Jie Lu:
A Fuzzy Hierarchical Multiple Criteria Group Decision Support System - Decider - and Its Applications. Consensual Processes 2011: 383-403 - 2008
- [p5]Guangquan Zhang, Jie Lu, Tharam S. Dillon:
An Approximation Kuhn-Tucker Approach for Fuzzy Linear Bilevel Decision Making. Intelligent Decision Making: An AI-Based Approach 2008: 157-171 - [p4]Jie Lu, Da Ruan, Guangquan Zhang:
Fuzzy Set Techniques in E-Service Applications. Fuzzy Sets and Their Extensions: Representation, Aggregation and Models 2008: 553-566 - 2007
- [p3]Jie Lu, Da Ruan, Guangquan Zhang:
E-Service Intelligence: An Introduction. E-Service Intelligence 2007: 1-33 - [p2]Jie Lu, Chenggang Bai, Guangquan Zhang:
E-Service Cost Benefit Evaluation and Analysis. E-Service Intelligence 2007: 389-409 - 2005
- [p1]Jie Lu, Guangquan Zhang:
Personalized Multi-Stage Decision Support in Reverse Logistics Management. Intelligent Data Mining 2005: 293-312
Editorship
- 2007
- [e1]Jie Lu, Guangquan Zhang, Da Ruan:
E-Service Intelligence: Methodologies, Technologies and Applications. Studies in Computational Intelligence 37, Springer 2007, ISBN 978-3-540-37015-4 [contents]
Informal and Other Publications
- 2023
- [i28]Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang:
Meta OOD Learning for Continuously Adaptive OOD Detection. CoRR abs/2309.11705 (2023) - [i27]En Yu, Jie Lu, Bin Zhang, Guangquan Zhang:
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification. CoRR abs/2312.10841 (2023) - 2022
- [i26]Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang:
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms. CoRR abs/2206.04311 (2022) - [i25]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
Streaming PAC-Bayes Gaussian process regression with a performance guarantee for online decision making. CoRR abs/2210.08486 (2022) - 2021
- [i24]Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? CoRR abs/2101.01104 (2021) - [i23]Tianyu Liu, Jie Lu, Zheng Yan, Guangquan Zhang:
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior. CoRR abs/2102.03748 (2021) - [i22]Hang Yu, Tianyu Liu, Jie Lu, Guangquan Zhang:
Automatic Learning to Detect Concept Drift. CoRR abs/2105.01419 (2021) - [i21]Zhen Fang, Jie Lu, Anjin Liu, Feng Liu, Guangquan Zhang:
Learning Bounds for Open-Set Learning. CoRR abs/2106.15792 (2021) - [i20]Adi Lin, Jie Lu, Junyu Xuan, Fujin Zhu, Guangquan Zhang:
Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time. CoRR abs/2109.11929 (2021) - [i19]Junyu Xuan, Jie Lu, Guangquan Zhang:
Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning. CoRR abs/2109.13233 (2021) - 2020
- [i18]Feng Liu, Wenkai Xu, Jie Lu, Guangquan Zhang, Arthur Gretton, Danica J. Sutherland:
Learning Deep Kernels for Non-Parametric Two-Sample Tests. CoRR abs/2002.09116 (2020) - [i17]Jie Lu, Anjin Liu, Fan Dong, Feng Gu, João Gama, Guangquan Zhang:
Learning under Concept Drift: A Review. CoRR abs/2004.05785 (2020) - [i16]Anjin Liu, Jie Lu, Guangquan Zhang:
Diverse Instances-Weighting Ensemble based on Region Drift Disagreement for Concept Drift Adaptation. CoRR abs/2004.05810 (2020) - [i15]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection via Equal Intensity k-means Space Partitioning. CoRR abs/2004.11587 (2020) - [i14]Li Zhong, Zhen Fang, Feng Liu, Bo Yuan, Guangquan Zhang, Jie Lu:
Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation. CoRR abs/2006.13022 (2020) - [i13]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation. CoRR abs/2007.14612 (2020) - [i12]Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning from a Complementary-label Source Domain: Theory and Algorithms. CoRR abs/2008.01454 (2020) - [i11]Anjin Liu, Jie Lu, Guangquan Zhang:
Concept Drift Detection: Dealing with MissingValues via Fuzzy Distance Estimations. CoRR abs/2008.03662 (2020) - 2019
- [i10]Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama:
Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation. CoRR abs/1905.07720 (2019) - [i9]Zhen Fang, Jie Lu, Feng Liu, Junyu Xuan, Guangquan Zhang:
Open Set Domain Adaptation: Theoretical Bound and Algorithm. CoRR abs/1907.08375 (2019) - [i8]Shan Xue, Jie Lu, Guangquan Zhang:
Cross-domain Network Representations. CoRR abs/1908.00205 (2019) - [i7]Shan Xue, Jie Lu, Guangquan Zhang, Li Xiong:
A Framework of Transferring Structures Across Large-scale Information Networks. CoRR abs/1911.04665 (2019) - 2018
- [i6]Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang:
Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting. CoRR abs/1812.09467 (2018) - 2017
- [i5]Feng Liu, Guangquan Zhang, Haiyan Lu, Jie Lu:
Heterogeneous Unsupervised Cross-domain Transfer Learning. CoRR abs/1701.02511 (2017) - [i4]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu:
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization. CoRR abs/1707.05420 (2017) - 2015
- [i3]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process. CoRR abs/1503.08535 (2015) - [i2]Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo:
Nonparametric Relational Topic Models through Dependent Gamma Processes. CoRR abs/1503.08542 (2015) - [i1]Junyu Xuan, Jie Lu, Xiangfeng Luo, Guangquan Zhang:
Nonnegative Multi-level Network Factorization for Latent Factor Analysis. CoRR abs/1504.00416 (2015)
Coauthor Index
[b4] [b3] [b2] [b1] [j204] [j203] [j202] [j201] [j200] [j199] [j198] [j197] [j196] [j195] [j194] [j193] [j192] [j191] [j190] [j189] [j188] [j187] [j186] [j185] [j184] [j183] [j182] [j181] [j180] [j179] [j178] [j177] [j176] [j175] [j174] [j173] [j172] [j171] [j170] [j169] [j168] [j167] [j166] [j165] [j164] [j163] [j162] [j161] [j160] [j159] [j158] [j157] [j156] [j155] [j154] [j153] [j152] [j151] [j150] [j149] [j148] [j147] [j146] [j145] [j144] [j143] [j142] [j141] [j140] [j139] [j138] [j137] [j136] [j135] [j134] [j133] [j132] [j131] [j130] [j129] [j128] [j127] [j126] [j125] [j124] [j123] [j122] [j121] [j120] [j119] [j118] [j117] [j116] [j115] [j114] [j113] [j111] [j110] [j109] [j108] [j107] [j106] [j105] [j104] [j103] [j102] [j101] [j100] [j99] [j98] [j97] [j96] [j95] [j94] [j93] [j92] [j91] [j90] [j89] [j88] [j87] [j86] [j85] [j84] [j83] [j82] [j81] [j80] [j79] [j78] [j77] [j76] [j75] [j74] [j73] [j72] [j71] [j70] [j67] [j66] [j65] [j64] [j63] [j62] [j61] [j60] [j59] [j58] [j57] [j56] [j55] [j54] [j53] [j51] [j50] [j49] [j48] [j47] [j46] [j45] [j44] [j43] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [j23] [j22] [j19] [j18] [j17] [j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [c158] [c157] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [c133] [c132] [c131] [c130] [c129] [c128] [c127] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c118] [c117] [c116] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c24] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p6] [p5] [p4] [p3] [p2] [p1] [e1] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
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To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-03 22:53 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
