Application of deep learning in object detection X Zhou, W Gong, WL Fu, F Du 2017 IEEE/ACIS 16th international conference on computer and information …, 2017 | 159 | 2017 |
An improved method for LSB based color image steganography combined with cryptography X Zhou, W Gong, WL Fu, LJ Jin 2016 IEEE/ACIS 15th international conference on computer and information …, 2016 | 107 | 2016 |
A research of speech emotion recognition based on deep belief network and SVM C Huang, W Gong, W Fu, D Feng Mathematical Problems in Engineering 2014, 2014 | 93 | 2014 |
A survey of recent advances in transfer learning H Liang, W Fu, F Yi 2019 IEEE 19th international conference on communication technology (ICCT …, 2019 | 75 | 2019 |
Multi-objective feature selection in classification: A differential evolution approach B Xue, W Fu, M Zhang Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014 | 61 | 2014 |
Low-level feature extraction for edge detection using genetic programming W Fu, M Johnston, M Zhang IEEE Transactions on Cybernetics 44 (8), 1459-1472, 2013 | 61 | 2013 |
Genetic programming for edge detection: a global approach W Fu, M Johnston, M Zhang 2011 IEEE Congress of Evolutionary Computation (CEC), 254-261, 2011 | 41 | 2011 |
Differential evolution (DE) for multi-objective feature selection in classification B Xue, W Fu, M Zhang Proceedings of the companion publication of the 2014 annual conference on …, 2014 | 31 | 2014 |
A neural network based intrusion detection data fusion model W Gong, W Fu, L Cai 2010 Third International Joint Conference on Computational Science and …, 2010 | 27 | 2010 |
Transductive transfer learning in genetic programming for document classification W Fu, B Xue, M Zhang, X Gao Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | 20 | 2017 |
Distribution-based invariant feature construction using genetic programming for edge detection W Fu, M Johnston, M Zhang Soft computing 19, 2371-2389, 2015 | 20 | 2015 |
Hybrid particle swarm optimisation algorithms based on differential evolution and local search W Fu, M Johnston, M Zhang AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint …, 2011 | 19 | 2011 |
DRNet: A deep neural network with multi-layer residual blocks improves image denoising J Zhang, Y Zhu, W Li, W Fu, L Cao IEEE Access 9, 79936-79946, 2021 | 18 | 2021 |
Genetic programming for edge detection: a Gaussian-based approach W Fu, M Johnston, M Zhang Soft Computing 20, 1231-1248, 2016 | 17 | 2016 |
Soft edge maps from edge detectors evolved by genetic programming W Fu, M Johnston, M Zhang 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 15 | 2012 |
Automatic construction of invariant features using genetic programming for edge detection W Fu, M Johnston, M Zhang AI 2012: Advances in Artificial Intelligence: 25th Australasian Joint …, 2012 | 15 | 2012 |
NHNet: A non‐local hierarchical network for image denoising J Zhang, L Cao, T Wang, W Fu, W Shen IET Image Processing 16 (9), 2446-2456, 2022 | 14 | 2022 |
A text classifier of english movie reviews based on information gain L Jin, W Gong, W Fu, H Wu 2015 3rd International Conference on Applied Computing and Information …, 2015 | 12 | 2015 |
Genetic programming for edge detection based on accuracy of each training image W Fu, M Johnston, M Zhang AI 2011: Advances in Artificial Intelligence: 24th Australasian Joint …, 2011 | 10 | 2011 |
Unsupervised learning for edge detection using genetic programming W Fu, M Johnston, M Zhang 2014 IEEE Congress on Evolutionary Computation (CEC), 117-124, 2014 | 9 | 2014 |