Yanan Sun

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 88

Top Topics

Image Classification

Evolutionary Algorithm

Neural Architecture

Top Venues

IEEE Trans. Evol. Comput.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zeqiong Lv, Chao Qian, Yanan Sun
A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search. CoRR (2024)
Jindi Lv, Yanan Sun, Qing Ye, Wentao Feng, Jiancheng Lv
A multiscale neural architecture search framework for multimodal fusion. Inf. Sci. 679 (2024)
Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv
Neural Network With a Preference Sampling Paradigm for Imbalanced Data Classification. IEEE Trans. Neural Networks Learn. Syst. 35 (7) (2024)
Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun
Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. GECCO (2024)
Xiaotian Song, Shuchao Deng, Jiahao Fan, Yanan Sun
Physics-Informed Neural Networks with Generalized Residual-Based Adaptive Sampling. ICIC (2) (2024)
Ying Bi, Stefano Cagnoni, Yanan Sun
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition. GECCO Companion (2024)
Xiaojun Zhou, Wan Tan, Yanan Sun, Tingwen Huang, Chunhua Yang
Multi-objective optimization and decision making for integrated energy system using STA and fuzzy TOPSIS. Expert Syst. Appl. 240 (2024)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
Guest Editorial Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 28 (3) (2024)
Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54 (3) (2024)
Xiangning Xie, Xiaotian Song, Zeqiong Lv, Gary G. Yen, Weiping Ding, Yanan Sun
Efficient Evaluation Methods for Neural Architecture Search: A Survey. CoRR (2023)
Yuhao Zhou, Mingjia Shi, Qing Ye, Yanan Sun, Jiancheng Lv
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. CoRR (2023)
Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. ICCV (2023)
Peng Zeng, Xiaotian Song, Andrew Lensen, Yuwei Ou, Yanan Sun, Mengjie Zhang, Jiancheng Lv
Differentiable Genetic Programming for High-dimensional Symbolic Regression. CoRR (2023)
Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 7 (4) (2023)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang, Gary G. Yen
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification. IEEE Trans. Evol. Comput. 27 (5) (2023)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Kay Chen Tan
A Survey on Evolutionary Neural Architecture Search. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Siyi Li, Yanan Sun, Gary G. Yen, Mengjie Zhang
Automatic Design of Convolutional Neural Network Architectures Under Resource Constraints. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
Multi-Objective Evolutionary Search of Compact Convolutional Neural Networks with Training-Free Estimation. GECCO Companion (2023)
Yanan Sun, Xiaojun Zhou, Chunhua Yang, Tingwen Huang
A visual analytics approach for multi-attribute decision making based on intuitionistic fuzzy AHP and UMAP. Inf. Fusion 96 (2023)
Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv
Neural network with absent minority class samples and boundary shifting for imbalanced data classification. Neural Comput. Appl. 35 (12) (2023)
Shuchao Deng, Zeqiong Lv, Edgar Galván, Yanan Sun
Evolutionary Neural Architecture Search for Facial Expression Recognition. IEEE Trans. Emerg. Top. Comput. Intell. 7 (5) (2023)
Zeqiong Lv, Chao Qian, Gary G. Yen, Yanan Sun
Analysis of Expected Hitting Time for Designing Evolutionary Neural Architecture Search Algorithms. CoRR (2022)
Peng Zeng, Andrew Lensen, Yanan Sun
Large scale image classification using GPU-based genetic programming. GECCO Companion (2022)
Zhan ao Huang, Yongsheng Sang, Yanan Sun, Jiancheng Lv
A neural network learning algorithm for highly imbalanced data classification. Inf. Sci. 612 (2022)
Yuwei Ou, Xiangning Xie, Shangce Gao, Yanan Sun, Kay Chen Tan, Jiancheng Lv
Differentiable Search of Accurate and Robust Architectures. CoRR (2022)
Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. NeurIPS (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. IEEE Trans. Evol. Comput. 26 (6) (2022)
Rui Zhang, Andrew Lensen, Yanan Sun
Speeding up Genetic Programming Based Symbolic Regression Using GPUs. PRICAI (1) (2022)
Xiaojun Zhou, Yanan Sun, Zhaoke Huang, Chunhua Yang, Gary G. Yen
Dynamic multi-objective optimization and fuzzy AHP for copper removal process of zinc hydrometallurgy. Appl. Soft Comput. 129 (2022)
Yuqiao Liu, Haipeng Li, Yanan Sun, Shuaicheng Liu
DAS: Neural Architecture Search via Distinguishing Activation Score. CoRR (2022)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Mengjie Zhang, Kay Chen Tan
Architecture Augmentation for Performance Predictor Based on Graph Isomorphism. CoRR (2022)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search. AI (2022)
Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang, Jiancheng Lv
ArcText: A Unified Text Approach to Describing Convolutional Neural Network Architectures. IEEE Trans. Artif. Intell. 3 (4) (2022)
Yanan Sun, Mengjie Zhang, Gary G. Yen
Evolutionary Neural Architecture Search and Applications [Guest Editorial]. IEEE Comput. Intell. Mag. 16 (3) (2021)
Xiangning Xie, Yuqiao Liu, Yanan Sun, Gary G. Yen, Bing Xue, Mengjie Zhang
BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search. CoRR (2021)
Xiangru Chen, Yanan Sun, Mengjie Zhang, Dezhong Peng
Evolving Deep Convolutional Variational Autoencoders for Image Classification. IEEE Trans. Evol. Comput. 25 (5) (2021)
Yuqiao Liu, Yehui Tang, Yanan Sun
Homogeneous Architecture Augmentation for Neural Predictor. ICCV (2021)
Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. CoRR (2021)
Yanan Sun, Xian Sun, Yuhan Fang, Gary G. Yen, Yuqiao Liu
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms. IEEE Trans. Evol. Comput. 25 (3) (2021)
Yuqiao Liu, Yehui Tang, Yanan Sun
Homogeneous Architecture Augmentation for Neural Predictor. CoRR (2021)
Ben Feng, Dayiheng Liu, Yanan Sun
Evolving transformer architecture for neural machine translation. GECCO Companion (2021)
Xun Zhou, A. Kai Qin, Yanan Sun, Kay Chen Tan
A Survey of Advances in Evolutionary Neural Architecture Search. CEC (2021)
Jindi Lv, Qing Ye, Yanan Sun, Juan Zhao, Jiancheng Lv
Heart-Darts: Classification of Heartbeats Using Differentiable Architecture Search. IJCNN (2021)
Junhao Huang, Bing Xue, Yanan Sun, Mengjie Zhang
A Flexible Variable-length Particle Swarm Optimization Approach to Convolutional Neural Network Architecture Design. CEC (2021)
Yuhan Fang, Yuqiao Liu, Yanan Sun
Evolving Deep Neural Networks for Collaborative Filtering. ICONIP (6) (2021)
Yuhan Fang, Yuqiao Liu, Yanan Sun
Evolving Deep Neural Networks for Collaborative Filtering. CoRR (2021)
Qing Ye, Yanan Sun, Jixin Zhang, Jiancheng Lv
A Distributed Framework for EA-Based NAS. IEEE Trans. Parallel Distributed Syst. 32 (7) (2021)
Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. CoRR (2020)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
Evolving Deep Convolutional Neural Networks for Image Classification. IEEE Trans. Evol. Comput. 24 (2) (2020)
Yanan Sun, Handing Wang, Bing Xue, Yaochu Jin, Gary G. Yen, Mengjie Zhang
Surrogate-Assisted Evolutionary Deep Learning Using an End-to-End Random Forest-Based Performance Predictor. IEEE Trans. Evol. Comput. 24 (2) (2020)
Qing Ye, Yuhao Zhou, Mingjia Shi, Yanan Sun, Jiancheng Lv
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training. CoRR (2020)
Yao Chen, Jiancheng Lv, Yanan Sun, Bijue Jia
Heart sound segmentation via Duration Long-Short Term Memory neural network. Appl. Soft Comput. 95 (2020)
Wenxin Zhao, Yanan Sun, Bing Xue
Improved Binary Particle Swarm optimization with Evolutionary Population Dynamic for Key Oncogene Selection. SSCI (2020)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. CoRR (2020)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
A Survey on Evolutionary Neural Architecture Search. CoRR (2020)
Yuqiao Liu, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Convolutional Neural Networks for Hyperspectral Image Denoising. IJCNN (2020)
Yanan Sun, Xian Sun, Yuhan Fang, Gary G. Yen
A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms. CoRR (2020)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen, Jiancheng Lv
Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification. IEEE Trans. Cybern. 50 (9) (2020)
Stefano Cagnoni, Harith Al-Sahaf, Yanan Sun, Bing Xue, Mengjie Zhang
Special Issue on Evolutionary Computer Vision, Image Processing and Pattern Recognition. Appl. Soft Comput. 97 (Part B) (2020)
Qing Ye, Yuxuan Han, Yanan Sun, Jiancheng Lv
PSO-PS: Parameter Synchronization with Particle Swarm Optimization for Distributed Training of Deep Neural Networks. IJCNN (2020)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
Completely Automated CNN Architecture Design Based on Blocks. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. CoRR (2019)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
A New Two-Stage Evolutionary Algorithm for Many-Objective Optimization. IEEE Trans. Evol. Comput. 23 (5) (2019)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification. CoRR (2019)
William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. CEC (2019)
Yanan Sun, Gary G. Yen, Zhang Yi
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations. IEEE Trans. Evol. Comput. 23 (1) (2019)
Yanan Sun, Gary G. Yen, Zhang Yi
IGD Indicator-Based Evolutionary Algorithm for Many-Objective Optimization Problems. IEEE Trans. Evol. Comput. 23 (2) (2019)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30 (8) (2019)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks. PRICAI (3) (2019)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving deep neural networks by multi-objective particle swarm optimization for image classification. GECCO (2019)
Yanan Sun, Gary G. Yen, Zhang Yi
Improved Regularity Model-based EDA for Many-objective Optimization. CoRR (2018)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
An Experimental Study on Hyper-parameter Optimization for Stacked Auto-Encoders. CEC (2018)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification. CoRR (2018)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. Australasian Conference on Artificial Intelligence (2018)
Yanan Sun, Bing Xue, Mengjie Zhang, Gary G. Yen
Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification. CoRR (2018)
Yanan Sun, Gary G. Yen, Zhang Yi
IGD Indicator-based Evolutionary Algorithm for Many-objective Optimization Problems. CoRR (2018)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Convolutional Neural Networks by Variable-Length Particle Swarm Optimization for Image Classification. CEC (2018)
Yanan Sun, Bing Xue, Mengjie Zhang
Automatically Evolving CNN Architectures Based on Blocks. CoRR (2018)
Bin Wang, Yanan Sun, Bing Xue, Mengjie Zhang
A Hybrid Differential Evolution Approach to Designing Deep Convolutional Neural Networks for Image Classification. CoRR (2018)
Yanan Sun, Gary G. Yen, Zhang Yi
Improved Regularity Model-Based EDA for Many-Objective Optimization. IEEE Trans. Evol. Comput. 22 (5) (2018)
Yanan Sun, Bing Xue, Mengjie Zhang
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification. CoRR (2017)
Yanan Sun, Hua Mao, Yongsheng Sang, Zhang Yi
Explicit guiding auto-encoders for learning meaningful representation. Neural Comput. Appl. 28 (3) (2017)
Yanan Sun, Gary G. Yen, Zhang Yi
Evolving Unsupervised Deep Neural Networks for Learning Meaningful Representations. CoRR (2017)
Yanan Sun, Bing Xue, Mengjie Zhang
Evolving Deep Convolutional Neural Networks for Image Classification. CoRR (2017)
Yanan Sun, Gary G. Yen, Zhang Yi
Reference line-based Estimation of Distribution Algorithm for many-objective optimization. Knowl. Based Syst. 132 (2017)
Yanan Sun, Gary G. Yen, Zhang Yi
Global view-based selection mechanism for many-objective evolutionary algorithms. CEC (2017)
Yanan Sun, Hua Mao, Quan Guo, Zhang Yi
Learning a good representation with unsymmetrical auto-encoder. Neural Comput. Appl. 27 (5) (2016)
Yanan Sun, Gary G. Yen, Hua Mao, Zhang Yi
Manifold dimension reduction based clustering for multi-objective evolutionary algorithm. CEC (2016)