Yanan Sun

Orcid: 0000-0001-6374-1429

Affiliations:
  • Sichuan University, College of Computer Science, Chengdu, China


According to our database1, Yanan Sun authored at least 97 papers between 2016 and 2025.

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Bibliography

2025
Classification of sewer pipe defects based on an automatically designed convolutional neural network.
Expert Syst. Appl., 2025

2024
Analyzing the Expected Hitting Time of Evolutionary Computation-Based Neural Architecture Search Algorithms.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

GPU-Based Genetic Programming for Faster Feature Extraction in Binary Image Classification.
IEEE Trans. Evol. Comput., December, 2024

Benchmarking Analysis of Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput., December, 2024

Neural Networks Learn Specified Information for Imbalanced Data Classification.
IEEE Trans. Knowl. Data Eng., November, 2024

Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

A Lightweight Multidendritic Pyramidal Neuron Model With Neural Plasticity on Image Recognition.
IEEE Trans. Artif. Intell., September, 2024

Neural Network With a Preference Sampling Paradigm for Imbalanced Data Classification.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Guest Editorial Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput., June, 2024

Architecture Augmentation for Performance Predictor via Graph Isomorphism.
IEEE Trans. Cybern., March, 2024

Evolutionary Multi-objective Optimization for Contextual Adversarial Example Generation.
Proc. ACM Softw. Eng., 2024

A multiscale neural architecture search framework for multimodal fusion.
Inf. Sci., 2024

Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS.
Expert Syst. Appl., 2024

Genetic Auto-prompt Learning for Pre-trained Code Intelligence Language Models.
CoRR, 2024

A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search.
CoRR, 2024

Robust Neural Architecture Search under Long-Tailed Distribution.
Proceedings of the International Joint Conference on Neural Networks, 2024

One-step Spiking Transformer with a Linear Complexity.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Revisiting Neural Networks for Continual Learning: An Architectural Perspective.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CAP: A Context-Aware Neural Predictor for NAS.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Precisely Predicting Neutronics Parameters of Nuclear Reactor.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Physics-Informed Neural Networks with Generalized Residual-Based Adaptive Sampling.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Generalizable Symbolic Optimizer Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Accurate and Robust Architectures via Neural Architecture Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Evolutionary Neural Architecture Search for Facial Expression Recognition.
IEEE Trans. Emerg. Top. Comput. Intell., October, 2023

Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification.
IEEE Trans. Evol. Comput., October, 2023

Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP.
Inf. Fusion, August, 2023

Neural network with absent minority class samples and boundary shifting for imbalanced data classification.
Neural Comput. Appl., April, 2023

A Survey on Evolutionary Neural Architecture Search.
IEEE Trans. Neural Networks Learn. Syst., February, 2023

Differentiable Genetic Programming for High-dimensional Symbolic Regression.
CoRR, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
CoRR, 2023

Efficient Evaluation Methods for Neural Architecture Search: A Survey.
CoRR, 2023

Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

A Sampling Method for Performance Predictor Based on Contrastive Learning.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

2022
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search.
IEEE Trans. Evol. Comput., 2022

ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures.
IEEE Trans. Artif. Intell., 2022

A neural network learning algorithm for highly imbalanced data classification.
Inf. Sci., 2022

Differentiable Search of Accurate and Robust Architectures.
CoRR, 2022

DAS: Neural Architecture Search via Distinguishing Activation Score.
CoRR, 2022

Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms.
CoRR, 2022

Architecture Augmentation for Performance Predictor Based on Graph Isomorphism.
CoRR, 2022

Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy.
Appl. Soft Comput., 2022

Speeding up Genetic Programming Based Symbolic Regression Using GPUs.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor.
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.
Proceedings of the 5th International Conference on Machine Learning and Machine Intelligence, 2022

Exploring the Effectiveness of Appearance Descriptor in DeepSORT.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptively Joint Pixel-wise Semantic Correlation in Surface Normal Estimation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Large scale image classification using GPU-based genetic programming.
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.
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.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
A Distributed Framework for EA-Based NAS.
IEEE Trans. Parallel Distributed Syst., 2021

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms.
IEEE Trans. Evol. Comput., 2021

Evolving Deep Convolutional Variational Autoencoders for Image Classification.
IEEE Trans. Evol. Comput., 2021

Evolutionary Neural Architecture Search and Applications [Guest Editorial].
IEEE Comput. Intell. Mag., 2021

Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search.
Proceedings of the International Joint Conference on Neural Networks, 2021

Evolving Deep Neural Networks for Collaborative Filtering.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Homogeneous Architecture Augmentation for Neural Predictor.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Evolving Deep Parallel Neural Networks for Multi-Task Learning.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

Evolving transformer architecture for neural machine translation.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A Survey of Advances in Evolutionary Neural Architecture Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Completely Automated CNN Architecture Design Based on Blocks.
IEEE Trans. Neural Networks Learn. Syst., 2020

Evolving Deep Convolutional Neural Networks for Image Classification.
IEEE Trans. Evol. Comput., 2020

Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor.
IEEE Trans. Evol. Comput., 2020

Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification.
IEEE Trans. Cybern., 2020

A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms.
CoRR, 2020

A Survey on Evolutionary Neural Architecture Search.
CoRR, 2020

DBS: Dynamic Batch Size For Distributed Deep Neural Network Training.
CoRR, 2020

Heart sound segmentation via Duration Long-Short Term Memory neural network.
Appl. Soft Comput., 2020

Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition.
Appl. Soft Comput., 2020

Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification.
IEEE Trans. Neural Networks Learn. Syst., 2019

IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems.
IEEE Trans. Evol. Comput., 2019

Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations.
IEEE Trans. Evol. Comput., 2019

A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 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

A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Improved Regularity Model-Based EDA for Many-Objective Optimization.
IEEE Trans. Evol. Comput., 2018

Automatically Evolving CNN Architectures Based on Blocks.
CoRR, 2018

Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification.
CoRR, 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

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

2017
Explicit guiding auto-encoders for learning meaningful representation.
Neural Comput. Appl., 2017

Reference line-based Estimation of Distribution Algorithm for many-objective optimization.
Knowl. Based Syst., 2017

A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification.
CoRR, 2017

Evolving Deep Convolutional Neural Networks for Image Classification.
CoRR, 2017

Global view-based selection mechanism for many-objective evolutionary algorithms.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Learning a good representation with unsymmetrical auto-encoder.
Neural Comput. Appl., 2016

Manifold dimension reduction based clustering for multi-objective evolutionary algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016


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