machine learning and its optimization;
piecewise linear system;
sparse signal recovery;
applications on medical imaging

2012 Ph.D. in Enginnering, Tsinghua University, Beijing, China
2006 B.S. in Science, Xi'an Jiaontong University, Xi'an, China
2006 B.S. in Enginnering, Xi'an Jiaontong University, Xi'an, China

2016- Associate Professor, Shanghai Jiao Tong University,Shanghai, China
2015-2017 Group Head, Friedrich-Alexander Universitat Erlangen-Nürnberg, Erlangen, Germany,
2015-2017 Alexander von Humboldt Fellow, Friedrich-Alexander Universitat Erlangen-Nürnberg, Erlangen, Germany,
2015-2016 Free Researcher, KU Leuven, Leuven, Belgium,
2012-2015 Postdoctoral Researcher, KU Leuven, Leuven, Belgium,

2017-2019 National Natural Science Foundation of China (Young Program): Robust one-bit compressive sensing and its applications

2015-2017 Alexander von Humboldt Foundation: Piecewise linear technology in machine learning and applications on medical engineering

2013-2015 Bilateral scientific cooperation-KU Leuven and Tsinghua University (BIL11/12T)

2012-2016 ERC Advanced Grant: Advanced data-driven black-box modeling

2017 "1000-Talent" (Young Program), China

2017 Scientific Contribution Awards, Workshop Bildverarbeitung für die Medizin, Heidelberg, Germany

X. Huang, A. Maier, J. Hornegger, J.A.K. Suykens: Indefinite Kernels in Least Squares Support Vector Machine and Principal Component Analysis, Applied and Computational Harmonic Analysis, doi:10.1016/j.acha.2016.09.001.

X. Huang, J.A.K. Suykens, S. Wang, J. Hornegger, A. Maier: Classification with Truncated l1 Distance Kernel, IEEE Transactions on Neural Networks and Learning Systems, doi:10.1109/TNNLS.2017.2668610.

J. Wang, R. Schaffert, A. Borsdorf, B. Heigl, X. Huang, J. Hornegger, A. Maier: Dynamic 2-D/3-D Rigid Registration Framework using Point-to-Plane Correspondence Model, IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2702100.

Y. Liu, S. Wu, X. Huang, B. Chen, C. Zhu, Hybrid CS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction, IEEE Transactions on Medical Imaging, doi:10.1109/TMI.2017.2717502

X. Huang, L. Shi, J.A.K. Suykens: 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.

T. Koehler, X. Huang, F. Schebesch, A. Aichert, A. Maier, J. Hornegger: Robust Multi-Frame Super-Resolution Employing Iteratively Re-weighted Minimization, IEEE Transactions on Computational Imaging, 2(1): 42-58.

Y. Feng, Y. Yang, X. Huang, S. Mehrkanoon, J.A.K. Suykens: Robust Support Vector Machines for Classification with Non-convex and Smooth Losses, Neural Computation, 28, 1217-1247.

Y. Feng, X. Huang, L. Shi, Y. Yang, J.A.K. Suykens: Learning with the Maximum Correntropy Criterion Induced Losses for Regression, Journal of Machine Learning Research, 16: 993-1034.

X. Huang, L. Shi, J.A.K. Suykens: Ramp Loss Linear Programming Support Vector Machine, Journal of Machine Learning Research, 15: 2185-2211.

X. Huang, L. Shi, J.A.K. Suykens: Support Vector Machine Classifier with Pinball Loss, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(5): 984-997.

Y. Yang, Y. Feng, X. Huang, J.A.K. Suykens: Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems, SIAM Journal on Optimization, 26(1): 171-196.

C. Shang, F. Yang, X. Gao, X. Huang, J.A.K. Suykens, D. Huang: Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies with Slow Feature Analysis, AIChE Journal, 61(11): 3666-3682.

X. Huang, L. Shi, J.A.K. Suykens: Asymmetric Least Squares Support Vector Machine,Computational Statistics and Data Analysis, 70: 395-405.

X. Huang, M. Matijas, J.A.K. Suykens: Hinging Hyperplanes for Time-Series Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 24(8): 1279-1291.

L. Shi, X. Huang, J.A.K. Suykens: Quantile Regression with l1-regularization and Gaussian Kernels, Advances in Computational Mathematics, 40(2): 517-551.

F. Chen, X. Huang, J. Zhou: Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification, IEEE Transactions on Image Processing, 22(12): 4964-4971.

X. Huang, J. Xu, S. Wang: Exact Penalty and Optimality Condition for Nonseparable Continuous Piecewise Linear Programming, Journal of Optimization Theory and Applications, 155: 145-164.

X. Huang, J. Xu, X. Mu, S. Wang: The Hill Detouring Method for Minimizing Hinging Hyperplanes Functions, Computers and Operations Research, 39(7): 1763-1770.

S. Wang, X. Huang, Y. Yeung: A Neural Network of Smooth Hinge Functions, IEEE Transactions on Neural Networks, 21(9): 1381-1395, 2010.

J. Xu, X. Huang, S. Wang: Adaptive Hinging Hyperplanes and its Applications in Dynamic System Identification, Automatica, 45(10):2325-2332, 2009.

S. Wang, X. Huang, K.K. Junaid: Configuration of Continuous Piecewise Linear Neural Networks, IEEE Transactions on Neural Networks, 19(8): 1431-1445, 2008.