Le Zhang
Le Zhang
Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR)
Verified email at e.ntu.edu.sg - Homepage
Cited by
Cited by
Richer Convolutional Features for Edge Detection
Y Liu, MM Cheng, X Hu, JW Bian, L Zhang, X Bai, J Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (8), 1939 …, 2019
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
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
gms: grid-based motion statistics for fast, ultra-robust feature correspondence
JW Bian, WY Lin, Y Liu, L Zhang, SK Yeung, MM Cheng, I Reid
International Journal of Computer Vision 128, 1580–1593, 2019
A survey of randomized algorithms for training neural networks
L Zhang, PN Suganthan
Information Sciences 364, 146-155, 2016
A comprehensive evaluation of random vector functional link networks
L Zhang, PN Suganthan
Information sciences 367, 1094-1105, 2016
Development of a three-dimensional multiscale agent-based tumor model: simulating gene-protein interaction profiles, cell phenotypes and multicellular patterns in brain cancer
L Zhang, CA Athale, TS Deisboeck
Journal of theoretical biology 244 (1), 96-107, 2007
Multiscale agent-based cancer modeling
L Zhang, Z Wang, JA Sagotsky, TS Deisboeck
Journal of mathematical biology 58 (4), 545-559, 2009
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
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/CVF Conference on Computer Vision and Pattern …, 2019
In silico cancer modeling: is it ready for prime time?
TS Deisboeck, L Zhang, J Yoon, J Costa
Nature Clinical Practice Oncology 6 (1), 34-42, 2009
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
Random forests with ensemble of feature spaces
L Zhang, PN Suganthan
Pattern Recognition 47 (10), 3429-3437, 2014
A review on swarm intelligence and evolutionary algorithms for solving flexible job shop scheduling problems
K Gao, Z Cao, L Zhang, Z Chen, Y Han, Q Pan
IEEE/CAA Journal of Automatica Sinica 6 (4), 904-916, 2019
Simulating non-small cell lung cancer with a multiscale agent-based model
Z Wang, L Zhang, J Sagotsky, TS Deisboeck
Theoretical Biology and Medical Modelling 4 (1), 1-14, 2007
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine
L Zhang, PN Suganthan
Cybernetics, IEEE Transactions on 45 (10), 2165 - 2176, 2014
Visual tracking with convolutional random vector functional link network
L Zhang, PN Suganthan
IEEE transactions on cybernetics 47 (10), 3243-3253, 2016
Simulating brain tumor heterogeneity with a multiscale agent-based model: linking molecular signatures, phenotypes and expansion rate
L Zhang, CG Strouthos, Z Wang, TS Deisboeck
Mathematical and computer modelling 49 (1-2), 307-319, 2009
WiFi CSI based passive human activity recognition using attention based BLSTM
Z Chen, L Zhang, C Jiang, Z Cao, W Cui
IEEE Transactions on Mobile Computing 18 (11), 2714-2724, 2018
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
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