Yanan Sun

CoRR, 2024

2023

Evolutionary Neural Architecture Search for Facial Expression Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., October, 2023

Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP.

[BibT_eX]

[DOI]

Inf. Fusion, August, 2023

Neural network with absent minority class samples and boundary shifting for imbalanced data classification.

[BibT_eX]

[DOI]

Neural Comput. Appl., April, 2023

A Survey on Evolutionary Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

[BibT_eX]

[DOI]

CoRR, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Evaluation Methods for Neural Architecture Search: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

A neural network learning algorithm for highly imbalanced data classification.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Differentiable Search of Accurate and Robust Architectures.

[BibT_eX]

[DOI]

CoRR, 2022

DAS: Neural Architecture Search via Distinguishing Activation Score.

[BibT_eX]

[DOI]

CoRR, 2022

Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Architecture Augmentation for Performance Predictor Based on Graph Isomorphism.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2022

Speeding up Genetic Programming Based Symbolic Regression Using GPUs.

[BibT_eX]

[DOI]

Rui Zhang

Andrew Lensen

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Genetic Algorithm-based Transformer Architecture Design for Neural Machine Translation.

[BibT_eX]

[DOI]

Jie Wu

Ben Feng

Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, 2022

Exploring the Effectiveness of Appearance Descriptor in DeepSORT.

[BibT_eX]

[DOI]

Zilin Xiao

Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptively Joint Pixel-wise Semantic Correlation in Surface Normal Estimation.

[BibT_eX]

[DOI]

Jie Wu

Proceedings of the International Joint Conference on Neural Networks, 2022

Large scale image classification using GPU-based genetic programming.

[BibT_eX]

[DOI]

Peng Zeng

Andrew Lensen

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Neural architecture search using genetic algorithm for facial expression recognition.

[BibT_eX]

[DOI]

Shuchao Deng

Edgar Galván

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021

A Distributed Framework for EA-Based NAS.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Evolving Deep Convolutional Variational Autoencoders for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Evolutionary Neural Architecture Search and Applications [Guest Editorial].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2021

Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Evolving Deep Neural Networks for Collaborative Filtering.

[BibT_eX]

[DOI]

Yuhan Fang

Yuqiao Liu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Homogeneous Architecture Augmentation for Neural Predictor.

[BibT_eX]

[DOI]

Yuqiao Liu

Yehui Tang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Evolving Deep Parallel Neural Networks for Multi-Task Learning.

[BibT_eX]

[DOI]

Jie Wu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Evolving transformer architecture for neural machine translation.

[BibT_eX]

[DOI]

Ben Feng

Dayiheng Liu

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A Survey of Advances in Evolutionary Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Completely Automated CNN Architecture Design Based on Blocks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2020

Evolving Deep Convolutional Neural Networks for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Evolutionary Neural Architecture Search.

[BibT_eX]

[DOI]

CoRR, 2020

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2020

Heart sound segmentation via Duration Long-Short Term Memory neural network.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection.

[BibT_eX]

[DOI]

Wenxin Zhao

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2019

A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Evolving deep neural networks by multi-objective particle swarm optimization for image classification.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Improved Regularity Model-Based EDA for Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2018

Automatically Evolving CNN Architectures Based on Blocks.

[BibT_eX]

[DOI]

CoRR, 2018

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2018

Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Explicit guiding auto-encoders for learning meaningful representation.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2017

Reference line-based Estimation of Distribution Algorithm for many-objective optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Evolving Deep Convolutional Neural Networks for Image Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Global view-based selection mechanism for many-objective evolutionary algorithms.

[BibT_eX]

[DOI]