Le Zhang
Le Zhang
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR)
Verified email at e.ntu.edu.sg - Homepage
TitleCited byYear
Ensemble classification and regression-recent developments, applications and future directions
Y Ren, L Zhang, PN Suganthan
IEEE Computational intelligence magazine 11 (1), 41-53, 2016
1992016
Richer convolutional features for edge detection
Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, T Jinhui
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
1912019
A survey of randomized algorithms for training neural networks
L Zhang, PN Suganthan
Information Sciences 364, 146-155, 2016
1632016
Ensemble deep learning for regression and time series forecasting
X Qiu, L Zhang, Y Ren, PN Suganthan, G Amaratunga
2014 IEEE symposium on computational intelligence in ensemble learning (CIEL …, 2014
1512014
A comprehensive evaluation of random vector functional link networks
L Zhang, PN Suganthan
Information sciences 367, 1094-1105, 2016
1382016
Random forests with ensemble of feature spaces
L Zhang, PN Suganthan
Pattern Recognition 47 (10), 3429-3437, 2014
822014
Robust human activity recognition using smartphone sensors via CT-PCA and online SVM
Z Chen, Q Zhu, YC Soh, L Zhang
IEEE Transactions on Industrial Informatics 13 (6), 3070-3080, 2017
592017
Crowd counting with deep negative correlation learning
Z Shi, L Zhang, Y Liu, X Cao, Y Ye, MM Cheng, G Zheng
Proceedings of the IEEE conference on computer vision and pattern …, 2018
582018
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine
L Zhang, PN Suganthan
Cybernetics, IEEE Transactions on 45 (10), 2165 - 2176, 2014
582014
Robust visual tracking using oblique random forests
L Zhang, J Varadarajan, P Nagaratnam Suganthan, N Ahuja, P Moulin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
462017
Visual tracking with convolutional random vector functional link network
L Zhang, PN Suganthan
IEEE transactions on cybernetics 47 (10), 3243-3253, 2016
422016
Robust visual tracking via co-trained kernelized correlation filters
L Zhang, PN Suganthan
Pattern Recognition 69, 82-93, 2017
362017
Benchmarking ensemble classifiers with novel co-trained kernel ridge regression and random vector functional link ensembles [research frontier]
L Zhang, PN Suganthan
IEEE Computational Intelligence Magazine 12 (4), 61-72, 2017
332017
Received signal strength based indoor positioning using a random vector functional link network
W Cui, L Zhang, B Li, J Guo, W Meng, H Wang, L Xie
IEEE Transactions on Industrial Informatics 14 (5), 1846-1855, 2017
182017
Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection
JX Zhao, Y Cao, DP Fan, MM Cheng, XY Li, L Zhang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
172019
Towards generating random forests via extremely randomized trees
L Zhang, Y Ren, PN Suganthan
2014 International Joint Conference on Neural Networks (IJCNN), 2645-2652, 2014
172014
An ensemble of decision trees with random vector functional link networks for multi-class classification
R Katuwal, PN Suganthan, L Zhang
Applied Soft Computing 70, 1146-1153, 2018
162018
Distilling the knowledge from handcrafted features for human activity recognition
Z Chen, L Zhang, Z Cao, J Guo
IEEE Transactions on Industrial Informatics 14 (10), 4334-4342, 2018
152018
Oblique random forest ensemble via Least Square Estimation for time series forecasting
X Qiu, L Zhang, PN Suganthan, GAJ Amaratunga
Information Sciences 420, 249-262, 2017
152017
Kernel cross-correlator
C Wang, L Zhang, L Xie, J Yuan
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
132018
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