Yanan Sun
Yanan Sun
College of Computer Science, Sichuan University
Verified email at scu.edu.cn
Title
Cited by
Cited by
Year
IGD indicator-based evolutionary algorithm for many-objective optimization problems
Y Sun, GG Yen, Z Yi
IEEE Transactions on Evolutionary Computation 23 (2), 173-187, 2019
532019
Evolving unsupervised deep neural networks for learning meaningful representations
Y Sun, GG Yen, Z Yi
IEEE Transactions on Evolutionary Computation 23 (1), 89-103, 2018
472018
Evolving deep convolutional neural networks for image classification
Y Sun, B Xue, M Zhang, GG Yen
IEEE Transactions on Evolutionary Computation, 2019
462019
Evolving deep convolutional neural networks by variable-length particle swarm optimization for image classification
B Wang, Y Sun, B Xue, M Zhang
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
342018
Automatically designing CNN architectures using genetic algorithm for image classification
Y Sun, B Xue, M Zhang, GG Yen
IEEE Transactions on Cybernetics, 2020
262020
A Particle Swarm Optimization-based Flexible Convolutional Auto-Encoder for Image Classification
Y Sun, B Xue, M Zhang, GG Yen
IEEE Transactions on Neural Networks and Learning Systems, 2018
222018
Reference line-based estimation of distribution algorithm for many-objective optimization
Y Sun, GG Yen, Z Yi
Knowledge-Based Systems 132, 129-143, 2017
152017
Improved Regularity Model-based EDA for Many-objective Optimization
Y Sun, GG Yen, Z Yi
IEEE Transactions on Evolutionary Computation, 2018
122018
An experimental study on hyper-parameter optimization for stacked auto-encoders
Y Sun, B Xue, M Zhang, GG Yen
2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018
102018
A hybrid differential evolution approach to designing deep convolutional neural networks for image classification
B Wang, Y Sun, B Xue, M Zhang
Australasian Joint Conference on Artificial Intelligence, 237-250, 2018
92018
A new two-stage evolutionary algorithm for many-objective optimization
Y Sun, B Xue, M Zhang, GG Yen
IEEE Transactions on Evolutionary Computation 23 (5), 748-761, 2018
92018
Explicit guiding auto-encoders for learning meaningful representation
Y Sun, H Mao, Y Sang, Z Yi
Neural Computing and Applications 28 (3), 429-436, 2017
92017
A survey on evolutionary machine learning
H Al-Sahaf, Y Bi, Q Chen, A Lensen, Y Mei, Y Sun, B Tran, B Xue, ...
Journal of the Royal Society of New Zealand 49 (2), 205-228, 2019
72019
Syntactic processing in music and language: Parallel abnormalities observed in congenital amusia
Y Sun, X Lu, HT Ho, BW Johnson, D Sammler, WF Thompson
NeuroImage: Clinical 19, 640-651, 2018
72018
Learning a good representation with unsymmetrical auto-encoder
Y Sun, H Mao, Q Guo, Z Yi
Neural Computing and Applications 27 (5), 1361-1367, 2016
72016
Surrogate-assisted evolutionary deep learning using an end-to-end random forest-based performance predictor
Y Sun, H Wang, B Xue, Y Jin, GG Yen, M Zhang
IEEE Transactions on Evolutionary Computation, 2019
52019
Completely Automated CNN Architecture Design Based on Blocks
Y Sun, B Xue, M Zhang, GG Yen
IEEE transactions on neural networks and learning systems, 2019
52019
A Hybrid GA-PSO Method for Evolving Architecture and Short Connections of Deep Convolutional Neural Networks
B Wang, Y Sun, B Xue, M Zhang
Pacific Rim International Conference on Artificial Intelligence, 650-663, 2019
42019
Evolving Deep Neural Networks by Multi-objective Particle Swarm Optimization for Image Classification
B Wang, Y Sun, B Xue, M Zhang
GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference …, 2019
42019
Manifold dimension reduction based clustering for multi-objective evolutionary algorithm
Y Sun, GG Yen, H Mao, Z Yi
2016 IEEE Congress on Evolutionary Computation (CEC), 3785-3792, 2016
42016
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