Deep neural networks compression learning based on multiobjective evolutionary algorithms J Huang, W Sun, L Huang Neurocomputing 378, 260-269, 2020 | 38 | 2020 |
A flexible variable-length particle swarm optimization approach to convolutional neural network architecture design J Huang, B Xue, Y Sun, M Zhang 2021 IEEE Congress on Evolutionary Computation (CEC), 934-941, 2021 | 9 | 2021 |
Compressing fully connected layers using Kronecker tensor decomposition S Chen, W Sun, L Huang, X Yang, J Huang 2019 IEEE 7th International Conference on Computer Science and Network …, 2019 | 6 | 2019 |
Particle Swarm Optimization for Compact Neural Architecture Search for Image Classification J Huang, B Xue, Y Sun, M Zhang, GG Yen IEEE Transactions on Evolutionary Computation, 2022 | 4 | 2022 |
Joint structure and parameter optimization of multiobjective sparse neural network J Huang, W Sun, L Huang Neural Computation 33 (4), 1113-1143, 2021 | 2 | 2021 |
Deep compression with low rank and sparse integrated decomposition J Huang, W Sun, L Huang, S Chen 2019 IEEE 7th International Conference on Computer Science and Network …, 2019 | 2 | 2019 |
Split-Level Evolutionary Neural Architecture Search With Elite Weight Inheritance J Huang, B Xue, Y Sun, M Zhang, GG Yen IEEE Transactions on Neural Networks and Learning Systems, 2023 | | 2023 |
EDE-NAS: An Eclectic Differential Evolution Approach to Single-Path Neural Architecture Search J Huang, B Xue, Y Sun, M Zhang AI 2022: Advances in Artificial Intelligence: 35th Australasian Joint …, 2022 | | 2022 |