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Xiaolin Huang Ph.D.

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg



Journal Articals
  1. Huang X., Suykens J.A.K., Wang S., Hornegger J., Maier A., "Classification with Truncated l1 Distance Kernel", IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2017.26686101.


Journal Articals
  1. Huang X., Maier A., Hornegger J., Suykens J.A.K., "Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis", Applied and Computational Harmonic Analysis, doi:10.1016/j.acha.2016.09.001.
  2. Huang X., Shi L., Suykens J.A.K., ''Solution Path for pin-SVM Classifiers with Positive and Negative tau Value'', IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2016.2547324.
  3. Tao Q., Huang X., Wang S., Xi X., Li L., "Multiple Gaussian Graphical Estimation with Jointly Sparse Penalty", Signal Processing, vol. 128, Nov. 2016, pp. 88-97.
  4. Feng Y., Yang Y., Huang X., Mehrkanoon S., Suykens J.A.K., "Robust Support Vector Machines for Classification with Non-convex and Smooth Losses", Neural Computation, vol. 28. June 2016, pp. 1217-1247.
  5. Xi X., Huang X., Suykens J.A.K., Wang S., "Coordinate Descent Algorithm for Ramp Loss Linear Programming Support Vector Machines", Neural Processing Letters, vol. 43, June 2016, pp. 887-903.
  6. Yang Y., Feng Y., Huang X., Suykens J.A.K., "Rank-one Tensor Property from Rank-one Balanced-Unfoldings and Applications", SIAM Journal on Optimization, vol. 26, Feb. 2016, pp. 171-196.
  7. Köhler T., Huang X., Schebesch F., Aichert A., Maier A., Hornegger J., "Robust Multi-Frame Super-Resolution Employing Iteratively Re-weighted Minimization", IEEE Transactions on Computational Imaging,  vol. 2, Jan. 2016, pp. 42-58.


Journal Articles
  1. Feng Y., Huang X., Shi L., Yang Y., Suykens J.A.K., ''Learning with the Maximum Correntropy Criterion Induced Losses for Regression'', Journal of  Machine Learning Research, vol. 16, May 2015, pp. 993−1034.
  2. Shang C., Yang F., Gao X., Huang X., Suykens J.A.K., Huang D., "Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies with Slow Feature Analysis", AIChE Journal, doi:10.1002/aic.14888.
  3. Shang C., Huang X., Suykens J.A.K., Huang D., "Enhancing Dynamic Soft Sensors based on DPLS: a Temporal Smoothness Regularization Approach", Journal of Process Control, vol. 28, Apr. 2015, pp. 17-26.
  4. Huang X., Liu Y., Shi L., Van Huffel S., Suykens J.A.K., "Two-level l1 Minimization for Compressed Sensing", Signal Processing, vol. 108, Mar. 2015, pp. 459-475.
  5. Li L., Huang X., Suykens J.A.K., "Signal Recovery for Jointly Sparse Vectors with Diff erent Sensing Matrices", Signal Processing, vol. 108, Mar. 2015, pp. 451-458.
  6. Huang X., Shi L., Yan M.,''Nonconvex Sorted l1 Minimization for Sparse Approximation'', Journal of  Operations Research Society of China, vol 3, Feb. 2015, pp. 207-229.
  7. Huang X., Shi L., Suykens J.A.K., "Sequential Minimal Optimization for SVM with Pinball Loss", Neurocomputing, vol. 149, Feb. 2015, pp. 1596-1603.


Journal Articles
  1. Mehrkanoon S., Huang X., Suykens J.A.K., "Non-parallel Classifiers with Different Loss Functions", Neurocomputing, vol. 143, Nov. 2014, pp. 294-301.
  2. Huang X., Shi L., Pelckmans K., Suykens J.A.K., "Asymmetric nu-tube Support Vector Regression", Computational Statistics and Data Analysis, vol. 77, Sep. 2014, pp. 371-382.
  3. Huang X., Shi L., Suykens J.A.K., "Ramp Loss Linear Programming Support Vector Machine", Journal of Machine Learning Research, vol. 15, Jun. 2014, pp. 2185-2211.
  4. Huang X., Shi L., Suykens J.A.K., "Support Vector Machine Classifier with Pinball Loss", IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 36, May 2014, pp. 984-997.
  5. Shi L., Huang X., Tian Z., Suykens J.A.K., "Quantile Regression with L1-regularization and Gaussian Kernels", Advances in Computational Mathematics, vol. 40, Apr. 2014, pp. 517-551.
  6. Huang X., Shi L., Suykens J.A.K., "Asymmetric Least Squares Support Vector Machine Classifiers", Computational Statistics and Data Analysis, vol. 70, Feb. 2014, pp. 395-405.


Journal Articles
  1. Chen F., Huang X., Zhou J., ''Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification'', IEEE Transactions on Image Processing, vol.22, Dec. 2013,pp. 4964-4971.
  2. Huang X., Mehrkanoon S., Suykens J.A.K.., "Support Vector Machines with Piecewise Linear Feature Mapping", Neurocomputing, vol. 117, Oct. 2013, pp. 118-127.
  3. Huang X., Matijas M., Suykens J.A.K., "Hinging Hyperplanes for Time-Series Segmentation", IEEE Transactions on Neural Networks and Learning Systems, vol. 24, Aug. 2013, pp. 1279-1291.

2012 and before

Journal Articles
  1. Xu J., Huang X., Mu X.,  Wang S., ''Model Predictive Control Based on Adaptive Hinging Hyperplanes Model'', Journal of Process Control, 22(10): 1821-1831, 2012.
  2. Huang X., Xu J.,  Wang S., ''Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming'', Journal of Optimization Theory and Applications, 155: 145-164, 2012.
  3. Huang X., Xu J., Wang S., Xu C., ''Minimization of the k-th Maximum and its Application on LMS Regression and VaR Optimization'', Journal of the Operations Research Society, 63:1479-1491, 2012.
  4. Huang X., Xu J.,  Mu X.,  Wang S.,  ''The Hill Detouring Method for Minimizing Hinging Hyperplanes Functions'', Computers and Operations Research, 39(7): 1763-1770, 2012.
  5. Huang X., Xu J.,  Wang S., ''Nonlinear System Identification with Continuous Piecewise Linear Neural Network'', Neurocomputing, 77: 167 -- 177, 2012.
  6. Huang X., Xu J.,  Wang S., ''Parameters Estimation of Hinging Hyperplanes using Median Squared Error Criterion'',  International Journal of Control, Automation, and Systems, 9(4): 627-635, 2011.
  7. Wang S.,  Huang X.,  Yeung Y., ''A Neural Network of Smooth Hinge Functions'', IEEE Transactions on Neural Networks, 21(9): 1381-1395, 2010.
  8. Xu J., Huang X., Wang S., ''Adaptive Hinging Hyperplanes and its Applications in Dynamic System Identification'', Automatica, 45(10): 2325-2332, 2009.
  9. Wang S., Huang X.,  Junaid K.M., ''Configuration of Continuous Piecewise Linear Neural Networks'', IEEE Transactions on Neural Networks, 19(8): 1431-1445, 2008.