Xiaolin Huang (黄晓霖)
Xiaolin Huang (黄晓霖)
Associate Professor, Shanghai Jiao Tong University
Verified email at sjtu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1662014
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
1392015
Data-driven robust optimization based on kernel learning
C Shang, X Huang, F You
Computers & Chemical Engineering 106, 464-479, 2017
1022017
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
772016
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
742015
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
692013
Ramp loss linear programming support vector machine
X Huang, L Shi, JAK Suykens
Journal of Machine Learning Research 15, 2185−2211, 2014
572014
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
522015
Adaptive hinging hyperplanes and its applications in dynamic system identification
J Xu, X Huang, S Wang
Automatica 45 (10), 2325-2332, 2009
502009
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
482018
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
472017
Asymmetric least squares support vector machine classifiers
X Huang, L Shi, JAK Suykens
Computational Statistics & Data Analysis 70, 395-405, 2014
462014
Two-level ℓ1 minimization for compressed sensing
X Huang, Y Liu, L Shi, S Van Huffel, JAK Suykens
Signal Processing 143, 294-301, 2015
372015
Non-parallel support vector classifiers with different loss functions
S Mehrkanoon, X Huang, JAK Suykens
Neurocomputing 143, 294-301, 2014
342014
Configuration of continuous piecewise-linear neural networks
S Wang, X Huang, KM Junaid
IEEE Transactions on Neural Networks 19 (8), 1431-1445, 2008
332008
Support vector machines with piecewise linear feature mapping
X Huang, S Mehrkanoon, JAK Suykens
Neurocomputing 117, 118-127, 2013
322013
Restoration of missing data in limited angle tomography based on Helgason–Ludwig consistency conditions
Y Huang, X Huang, O Taubmann, Y Xia, V Haase, J Hornegger, ...
Biomedical Physics & Engineering Express 3 (3), 035015, 2017
292017
Sequential minimal optimization for SVM with pinball loss
X Huang, L Shi, JAK Suykens
Neurocomputing 149, 1596-1603, 2015
292015
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
282019
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, 2021
272021
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Articles 1–20