Xiaolin Huang (黄晓霖)

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Johan SuykensProfessor, KU LeuvenDirección de correo verificada de esat.kuleuven.be
Jie YangShanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Andreas K. MaierUniversity of Erlangen-NurembergDirección de correo verificada de fau.de
Fanghui Liu (刘方辉)Postdoc researcher, EPFLDirección de correo verificada de epfl.ch
Joachim HorneggerProfessor of Computer Science, Friedrich-Alexander-Universität Erlangen-NürnbergDirección de correo verificada de fau.de
Chao SHANG / 尚超Associate Professor of Automation, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Jun Xu哈尔滨工业大学（深圳）Dirección de correo verificada de hit.edu.cn
Sizhe ChenUC BerkeleyDirección de correo verificada de berkeley.edu
Yipeng Liu (刘翼鹏)University of Electronic Science and Technology of ChinaDirección de correo verificada de uestc.edu.cn
Yun Gu (顾运)Shanghai Jiao Tong UniversityDirección de correo verificada de sjtu.edu.cn
Siamak MehrkanoonAssistant Professor, Utrecht UniversityDirección de correo verificada de uu.nl
Ming Yan (严明)Associate Professor, CUHK(SZ)Dirección de correo verificada de msu.edu
Li LiTsinghua UniversityDirección de correo verificada de mail.tsinghua.edu.cn
Yunlong FengState University of New York at AlbanyDirección de correo verificada de albany.edu
Yuning YangCollege of Mathematics & Information Science, Guangxi UniversityDirección de correo verificada de esat.kuleuven.be
Yudong ChenAssociate Professor, University of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Fanglin ChenAssociate Professor, Harbin Institute of Technology, ShenzhenDirección de correo verificada de hit.edu.cn
Wei XiaoAWS AI Labs, AmazonDirección de correo verificada de amazon.com

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Xiaolin Huang (黄晓霖)

Associate Professor, Shanghai Jiao Tong University

Dirección de correo verificada de sjtu.edu.cn - Página principal

machine learning kernel method deep neural network training piecewise linear model


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Support vector machine classifier with pinball loss X Huang, L Shi, J Suykens IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (8), 1279-1291, 2014	236	2014
Concurrent monitoring of operating condition deviations and process dynamics anomalies with slow feature analysis C Shang, F Yang, X Gao, X Huang, JAK Suykens, D Huang AIChE Journal 61 (11), 3666-3682, 2015	207	2015
Data-driven robust optimization based on kernel learning C Shang, X Huang, F You Computers & Chemical Engineering 106, 464-479, 2017	157	2017
Robust multiframe super-resolution employing iteratively re-weighted minimization T Köhler, X Huang, F Schebesch, A Aichert, A Maier, J Hornegger IEEE Transactions on Computational Imaging 2 (1), 42-58, 2016	98	2016
Learning with the maximum correntropy criterion induced losses for regression Y Feng, X Huang, L Shi, Y Yang, JAK Suykens Journal of Machine Learning Research 16 (1), 993-1034, 2015	97	2015
Random features for kernel approximation: A survey on algorithms, theory, and beyond F Liu, X Huang, Y Chen, JAK Suykens IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7975 …, 2022	91	2022
Ramp loss linear programming support vector machine X Huang, L Shi, JAK Suykens Journal of Machine Learning Research 15, 2185−2211, 2014	81	2014
Hierarchical minutiae matching for fingerprint and palmprint identification F Chen, X Huang, J Zhou IEEE Transactions on Image Processing 22 (11-12), 4964-4971, 2013	76	2013
Indefinite kernels in least squares support vector machines and principal component analysis X Huang, A Maier, J Hornegger, JAK Suykens Applied and Computational Harmonic Analysis 43 (1), 162-172, 2017	65	2017
Enhancing dynamic soft sensors based on DPLS: A temporal smoothness regularization approach C Shang, X Huang, JAK Suykens, D Huang Journal of Process Control 28, 17-26, 2015	64	2015
Universal adversarial attack on attention and the resulting dataset damagenet S Chen, Z He, C Sun, J Yang, X Huang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022	63	2022
Robust visual tracking revisited: From correlation filter to template matching F Liu, C Gong, X Huang, T Zhou, J Yang, D Tao IEEE Transactions on Image Processing 27 (6), 2777-2790, 2018	60	2018
Online PCB defect detector on a new PCB defect dataset S Tang, F He, X Huang, J Yang arXiv preprint arXiv:1902.06197, 2019	59	2019
Varifocal-net: A chromosome classification approach using deep convolutional networks Y Qin, J Wan, H Zheng, X Huang, J Yang, L Wu, N Song, Y Zhu, G Yang IEEE Transactions on Medical Imaging, doi 10.1109/TMI.2019.2905841, 2019	57	2019
Asymmetric least squares support vector machine classifiers X Huang, L Shi, JAK Suykens Computational Statistics & Data Analysis 70, 395-405, 2014	57	2014
Adaptive hinging hyperplanes and its applications in dynamic system identification J Xu, X Huang, S Wang Automatica 45 (10), 2325-2332, 2009	57	2009
Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks Y Qin, M Chen, H Zheng, Y Gu, M Shen, J Yang, X Huang, YM Zhu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019	44	2019
Two-level ℓ1 minimization for compressed sensing X Huang, Y Liu, L Shi, S Van Huffel, JAK Suykens Signal Processing 143, 294-301, 2015	44	2015
Real-time image smoothing via iterative least squares W Liu, P Zhang, X Huang, J Yang, C Shen, I Reid ACM Transactions on Graphics (TOG) 39 (3), 1-24, 2020	42	2020
Non-parallel support vector classifiers with different loss functions S Mehrkanoon, X Huang, JAK Suykens Neurocomputing 143, 294-301, 2014	42	2014

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