Bin Wang
Orcid: 0000-0002-9417-1956Affiliations:
- Victoria University of Wellington, School of Engineering and Computer Science, Wellington, New Zealand
According to our database1,
Bin Wang
authored at least 12 papers
between 2018 and 2022.
Collaborative distances:
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Bibliography
2022
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2022
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks.
CoRR, 2022
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations.
CoRR, 2022
2021
A transfer learning based evolutionary deep learning framework to evolve convolutional neural networks.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 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
2020
Particle Swarm Optimization for Evolving Deep Convolutional Neural Networks for Image Classification: Single- and Multi-Objective Approaches.
Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 2020
Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification.
CoRR, 2020
Particle Swarm optimisation for Evolving Deep Neural Networks for Image Classification by Evolving and Stacking Transferable Blocks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
Evolving deep neural networks by multi-objective particle swarm optimization for image classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
2018
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018