Le Zhang - Google Scholar

Cited by

	All	Since 2015
Citations	2641	2636
h-index	23	23
i10-index	33	33

920

460

230

690

20152016201720182019202015 97 250 505 920 839

Co-authors

Dr. P. N. SuganthanEEE, NTU (Honorary Doctorate, Uni. of Maribor, 2020)Verified email at ntu.edu.sg
Ming-Ming Cheng, 程明明Nankai UniversityVerified email at nankai.edu.cn
Yun LiuNankai UniversityVerified email at mail.nankai.edu.cn
Jia-Wang Bian, 边佳旺University of AdelaideVerified email at adelaide.edu.au
ZHENGHUA CHENInstitute for Infocomm Research (I2R), A*STAR, SingaporeVerified email at ntu.edu.sg
Zhiguang CaoNational University of SingaporeVerified email at nus.edu.sg
Zenglin ShiUniversity of AmsterdamVerified email at uva.nl
Guoyan Zheng, Prof. Dr.Professor of Shanghai Jiao Tong University, ChinaVerified email at ieee.org
Gehan AmaratungaProfessor of Electrical Engineering, University of CambridgeVerified email at cam.ac.uk
Wei CuiNangyang Technological UniversityVerified email at e.ntu.edu.sg
Jagannadan VaradarajanHead of Data Science (Machine Learning & Maps), GrabVerified email at grab.com
Pierre MoulinProfessor, University of Illinois at Urbana-ChampaignVerified email at ifp.uiuc.edu
Deng-Ping FanInception Institute of Artificial Intelligence (IIAI), Nankai UniversityVerified email at inceptioniai.org
Bing LiThe University of New South WalesVerified email at unsw.edu.au
Lihua XieProfessor of Electrical Engineering, Nanyang Technological UniversityVerified email at ntu.edu.sg
Stefan WinklerIEEE Fellow, Deputy Director @AI Singapore, Associate Professor @NUSVerified email at nus.edu.sg
Songyou PengETH Zurich and Max Planck Institute for Intelligent SystemsVerified email at inf.ethz.ch
Qingchang ZhuTencent, Ph. D from Nanyang Technological UniversityVerified email at e.ntu.edu.sg
Wei MengTemasek Laboratories, National University of SingaporeVerified email at nus.edu.sg
Rakesh KatuwalProject Officer, Nanyang Technological University, SingaporeVerified email at e.ntu.edu.sg

Le Zhang

Institute for Infocomm Research, Agency for Science, Technology and Research (A*STAR)

Verified email at e.ntu.edu.sg - Homepage

Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	347	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	292	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	218	2014
A survey of randomized algorithms for training neural networks L Zhang, PN Suganthan Information Sciences 364, 146-155, 2016	207	2016
A comprehensive evaluation of random vector functional link networks L Zhang, PN Suganthan Information sciences 367, 1094-1105, 2016	182	2016
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	176	2019
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	116	2018
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	98	2017
Random forests with ensemble of feature spaces L Zhang, PN Suganthan Pattern Recognition 47 (10), 3429-3437, 2014	98	2014
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	96	2019
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine L Zhang, PN Suganthan Cybernetics, IEEE Transactions on 45 (10), 2165 - 2176, 2014	75	2014
Visual tracking with convolutional random vector functional link network L Zhang, PN Suganthan IEEE transactions on cybernetics 47 (10), 3243-3253, 2016	66	2016
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	63	2019
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	63	2017
Robust visual tracking via co-trained kernelized correlation filters L Zhang, PN Suganthan Pattern Recognition 69, 82-93, 2017	53	2017
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	50	2017
Kernel cross-correlator C Wang, L Zhang, L Xie, J Yuan arXiv preprint arXiv:1709.05936, 2017	35	2017
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	32	2018
Semantic edge detection with diverse deep supervision Y Liu, MM Cheng, DP Fan, L Zhang, JW Bian, D Tao arXiv preprint arXiv:1804.02864, 2018	31	2018
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	30	2018

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