Wenbin Pei
Orcid: 0000-0002-8259-2614Affiliations:
- Victoria University of Wellington, New Zealand
According to our database1,
Wenbin Pei authored at least 39 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
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on orcid.org
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Bibliography
2026
EvoSampling: A Granular Ball-Based Evolutionary Hybrid Sampling With Knowledge Transfer for Imbalanced Learning [Research Frontier].
IEEE Comput. Intell. Mag., May, 2026
Enhancing Discrete Particle Swarm Optimization for Hypergraph-Modeled Influence Maximization.
CoRR, April, 2026
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification.
CoRR, January, 2026
2025
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-Agnostic Explanations.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2025
DG-SMOTE: A Distance-Angle-Based Genetic Synthetic Minority Over-Sampling Technique for Unbalanced Data Learning.
IEEE Trans. Evol. Comput., December, 2025
HWL-HIN: A Hypergraph-Level Hypergraph Isomorphism Network as Powerful as the Hypergraph Weisfeiler-Lehman Test with Application to Higher-Order Network Robustness.
CoRR, December, 2025
A Group-Based Many-Task Collaborative Optimization Framework for Evolutionary Robots Design.
IEEE Trans. Syst. Man Cybern. Syst., May, 2025
IEEE Trans. Multim., 2025
Efficient hypergraph collective influence maximization in cascading processes based on general threshold model.
Inf. Sci., 2025
Critical nodes detection for complex networks via knowledge-guided evolutionary framework.
Eng. Appl. Artif. Intell., 2025
2024
A Multiobjective Genetic Algorithm to Evolving Local Interpretable Model-Agnostic Explanations for Deep Neural Networks in Image Classification.
IEEE Trans. Evol. Comput., August, 2024
IEEE Trans. Evol. Comput., April, 2024
CoRR, 2024
EvoSampling: A Granular Ball-based Evolutionary Hybrid Sampling with Knowledge Transfer for Imbalanced Learning.
CoRR, 2024
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba.
CoRR, 2024
CoRR, 2024
Influence Maximization in Hypergraphs Using A Genetic Algorithm with New Initialization and Evaluation Methods.
CoRR, 2024
Improving Critical Node Detection Using Neural Network-based Initialization in a Genetic Algorithm.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Toward Realistic 3D Human Motion Prediction With a Spatio-Temporal Cross- Transformer Approach.
IEEE Trans. Circuits Syst. Video Technol., October, 2023
Neural Comput. Appl., September, 2023
Attention-guided spatial-temporal graph relation network for video-based person re-identification.
Neural Comput. Appl., July, 2023
A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis.
Comput. Biol. Medicine, June, 2023
Detecting Overlapping Areas in Unbalanced High-Dimensional Data Using Neighborhood Rough Set and Genetic Programming.
IEEE Trans. Evol. Comput., 2023
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
Proceedings of the IEEE Congress on Evolutionary Computation, 2023
2022
High-Dimensional Unbalanced Binary Classification by Genetic Programming with Multi-Criterion Fitness Evaluation and Selection.
Evol. Comput., 2022
2021
Developing Interval-Based Cost-Sensitive Classifiers by Genetic Programming for Binary High-Dimensional Unbalanced Classification [Research Frontier].
IEEE Comput. Intell. Mag., 2021
Genetic programming for development of cost-sensitive classifiers for binary high-dimensional unbalanced classification.
Appl. Soft Comput., 2021
Evolving local interpretable model-agnostic explanations for deep neural networks in image classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Genetic programming for high-dimensional imbalanced classification with a new fitness function and program reuse mechanism.
Soft Comput., 2020
A genetic programming method for classifier construction and cost learning in high-dimensional unbalanced classification.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
A Threshold-free Classification Mechanism in Genetic Programming for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Cost-sensitive Genetic Programming Approach for High-dimensional Unbalanced Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019
Reuse of program trees in genetic programming with a new fitness function in high-dimensional unbalanced classification.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Genetic Programming Based on Granular Computing for Classification with High-Dimensional Data.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018