Zhongliang Zhang
Orcid: 0000-0001-6555-7908Affiliations:
- Shanghai Jiao Tong University, Antai College of Economics and Management, China
- Hangzhou Dianzi University, School of Management, Experimental Center of Data Science and Intelligent Decision-Making, China
- Northeastern University, China (PhD 2017)
According to our database1,
Zhongliang Zhang
authored at least 36 papers
between 2016 and 2025.
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Bibliography
2025
Multi-Class Imbalanced Learning with Support Vector Machines via Differential Evolution.
CoRR, February, 2025
Pattern Recognit., 2025
Exact and heuristic algorithms for team orienteering problem with fuzzy travel times.
Expert Syst. Appl., 2025
Iterative under-sampling for delisting risk prediction of Chinese listed companies based on financial information.
Eng. Appl. Artif. Intell., 2025
2024
Sentiment classification of movie reviews: a powerful method based on ensemble of classifiers and features.
Int. J. Mach. Learn. Cybern., December, 2024
Strategic Analysis of the Parameter Servers and Participants in Federated Learning: An Evolutionary Game Perspective.
IEEE Trans. Comput. Soc. Syst., February, 2024
Eng. Appl. Artif. Intell., January, 2024
IEEE Trans. Engineering Management, 2024
RAIRO Oper. Res., 2024
LSMOTE: A link-based Synthetic Minority Oversampling Technique for binary imbalanced datasets.
Neurocomputing, 2024
2023
Driving risk prevention in usage-based insurance services based on interpretable machine learning and telematics data.
Decis. Support Syst., September, 2023
Joint optimization of low-carbon product family configuration and smart production line selection.
Comput. Ind. Eng., August, 2023
Mining online reviews for ranking products: A novel method based on multiple classifiers and interval-valued intuitionistic fuzzy TOPSIS.
Appl. Soft Comput., May, 2023
ESMOTE: an overproduce-and-choose synthetic examples generation strategy based on evolutionary computation.
Neural Comput. Appl., March, 2023
Int. J. Hum. Comput. Interact., March, 2023
A multiple classifiers system with roulette-based feature subspace selection for one-vs-one scheme.
Pattern Anal. Appl., February, 2023
2022
DRCW-FRkNN-OVO: distance-based related competence weighting based on fixed radius k nearest neighbour for one-vs-one scheme.
Int. J. Mach. Learn. Cybern., 2022
Comput. Oper. Res., 2022
Concurr. Eng. Res. Appl., 2022
Service configuration optimization for multiple customers considering service process information and time-varying service resources.
Comput. Ind. Eng., 2022
2021
A novel density-based adaptive k nearest neighbor method for dealing with overlapping problem in imbalanced datasets.
Neural Comput. Appl., 2021
Regional integrated energy system schemes selection based on risk expectation and Mahalanobis-Taguchi system.
J. Intell. Fuzzy Syst., 2021
Eng. Appl. Artif. Intell., 2021
IEEE Access, 2021
2019
A distance-based weighting framework for boosting the performance of dynamic ensemble selection.
Inf. Process. Manag., 2019
A New Framework of Intelligent Public Transportation System Based on the Internet of Things.
IEEE Access, 2019
2018
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing, 2018
Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme.
Eng. Appl. Artif. Intell., 2018
2017
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst., 2017
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput., 2017
2016
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016