Le Zhang - Google Scholar

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	All	Since 2015
Citations	2341	2337
h-index	22	22
i10-index	31	31

920

460

230

690

20152016201720182019202015 95 245 506 918 549

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Professor, CS, 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
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
Wei CuiNangyang Technological UniversityVerified email at e.ntu.edu.sg
Deng-Ping FanInception Institute of Artificial Intelligence (IIAI)Verified 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
Qingchang ZhuTencent, Ph. D from Nanyang Technological UniversityVerified email at e.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
Wei MengTemasek Laboratories, National University of SingaporeVerified email at nus.edu.sg
Narendra AhujaDonald Biggar Willet Professor, University of Illinois at Urbana-ChampagnVerified email at illinois.edu

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	301	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	268	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	201	2014
A survey of randomized algorithms for training neural networks L Zhang, PN Suganthan Information Sciences 364, 146-155, 2016	196	2016
A comprehensive evaluation of random vector functional link networks L Zhang, PN Suganthan Information sciences 367, 1094-1105, 2016	168	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 IJCV, 2019	156	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	103	2018
Random forests with ensemble of feature spaces L Zhang, PN Suganthan Pattern Recognition 47 (10), 3429-3437, 2014	94	2014
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	91	2017
Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine L Zhang, PN Suganthan Cybernetics, IEEE Transactions on 45 (10), 2165 - 2176, 2014	74	2014
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	60	2017
Visual tracking with convolutional random vector functional link network L Zhang, PN Suganthan IEEE transactions on cybernetics 47 (10), 3243-3253, 2016	56	2016
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	55	2019
Robust visual tracking via co-trained kernelized correlation filters L Zhang, PN Suganthan Pattern Recognition 69, 82-93, 2017	50	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	47	2017
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	45	2019
Kernel cross-correlator C Wang, L Zhang, L Xie, J Yuan Thirty-Second AAAI Conference on Artificial Intelligence, 2018	28	2018
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	28	2017
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	27	2018
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	25	2018

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