PEOPLE

Adjunct Faculty

Xiaolin Huang

Associate Professor

Location: 2-429, Telecom Group Building
E-mail: xiaolinhuang@sjtu.edu.cn

Biography

Huang Xiaolin obtained a bachelor's degree in engineering and science from Xi'an Jiaotong University in 2016, and received a doctorate in engineering from the Department of Automation of Tsinghua University in 2012. From 2012 to 2015, he served as a postdoctoral fellow in the Department of Electronic Engineering of the University of Leuven, Belgium (KU Leuven). Since April 2015, as a Humboldt scholar, he has served as Head of the research team at the Computer Department of the Friedrich-Alexander Universität Erlangen-Nürnberg University in Germany. In 2016, he joined Shanghai Jiao Tong University as an associate professor and doctoral tutor.

The main research directions are machine learning, optimization algorithms and their applications in medical images; more than forty papers have been published in JMLR, TPAMI, ACHA, TNNLS, TMI, TIP, TMM, Automatica, SIAM J. Optimization and other journals and conferences Articles. In recent years, Huang has hosted one general project of the National Natural Science Foundation of China, one youth project, and participated in one national key research and development plan. His research results won the first prize of the best scientific contribution of the German Medical Image Processing Annual Conference (2017), and his collaborative paper won Best Student Paper Award of the 13th International Workshop on Document Analysis Systems, and Best Paper Award of the 2019 International Conference on Industrial Artificial Intelligence.

Research Interests

Machine learning, optimization algorithms and the medical applications

Selected Publications

Sanli Tang, Xiaolin Huang, Mingjian Chen, Chengjin Sun, and Jie Yang “Adversarial Attack Type I: Cheat Classifiers by Significant Changes,” IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted.

Wei Liu, Pingping Zhang, Xiaolin Huang, Jie Yang, Chunhua Shen, Ian Reid: Real-time Image Smoothing via Iterative Least Squares, ACM Transactions on Graphics, accepted.

Lei Shi, Xiaolin Huang, Yunlong Feng, Johan A.K. Suykens: Sparse Kernel Regression with Coefficient-based lq regularization, Journal of Machine Learning Research, 161: 1-44, 2019

Xiaolin Huang, Andreas Maire, Joachim Hornegger, Johan A.K. Suykens: Indefinite Kernels in Least Squares Support Vector Machine and Principal Component Analysis, Applied and Computational Harmonic Analysis, 43(1): 162-172, 2017

Yunlong Feng, Xiaolin Huang, Yuning Yang, Johan A.K. Suykens: Learning with the Maximum Correntropy Criterion Induced Losses for Regression, Journal of Machine Learning Research, 16(1): 993-1034, 2015

Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Support Vector Machine Classifier with Pinball Loss, IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(5): 984-997, 2014

Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Ramp Loss Linear Programming Support Vector Machine, Journal of Machine Learning Research, 15(1): 2185-2211, 2014

Other papers:
Wei Xiao, Xiaolin Huang, Fan He, Jorge Silva, Saba Emrani, Arin Chaudhuri: Online Robust Principal Component Analysis with Change Point Detection, IEEE Transactions on Multimedia, 22(1): 59-68, 2020.

Chao Ma, Chen Gong, Xiang Li, Xiaolin Huang,Jie Yang: Towards Making Unsupervised Graph Hashing Discriminative, IEEE Transactions on Multimedia, 22(3): 760-774, 2020.

Fanghui Liu, Xiaolin Huang, Jie Yang, Chen Gong, Johan A.K. Suykens: Indefinite Kernel Logistic Regression with Concave-inexact-convex Procedure, IEEE Transactions on Neural Networks and Learning Systems, 30(3): 765-776, 2019

Yulei Qin, Juan Wan, Hao Zheng, Xiaolin Huang, Jie Yang, Lingqian Wu, Ning Song, Yue-min Zhu, Guang-zhong Yang: Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks, IEEE Transactions on Medical Imaging, 38(11): 2569-2581, 2019.

Xiaolin Huang, Johan A.K. Suykens, Shuning Wang, Joachim Hornegger, Andreas Maier: Classification With Truncated l1 Distance Kernel, IEEE Transactions on Neural Networks and Learning Systems, 29(5): 2025-2030, 2018

Jia Cai, Xiaolin Huang: Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties, IEEE Transactions on Neural Networks and Learning Systems, 29(10): 4957-4966, 2018

Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao: Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transactions on Image Processing, 27(6): 2777-2790, 2018

Yanye Lu, Markus Kowarschik, Xiaolin Huang, Shuqing Chen, Qiushi Ren, Rebecca Fahrig, Joachim Hornegger, Andreas Maier: Material Decomposition using Ensemble Learning for Spectral X-ray Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences, 2(3): 2469-7311, 2018

Yixing Huang, Oliver Taubmann, Xiaolin Huang, Viktor Haase, Guenter Lauritsch, Andreas Maier: Scale-Space Anisotropic Total Variation for Limited Angle Tomography, IEEE Transactions on Radiation and Plasma Medical Sciences, 2(4): 307-314, 2018

Xiaolin Huang, Lei Shi, Johan A.K. Suykens: Solution Path for pin-SVM Classifiers with Positive and Negative tau Value, IEEE Transactions on Neural Networks and Learning Systems, 28(7): 1584-1593, 2017

Jian Wang, R. Schaffert, A. Borsdorf, B. Heigl, Xiaolin Huang, Joachim Hornegger, Andreas Maier: Dynamic 2-D/3-D Rigid Registration Framework using Point-to-Plane Correspondence Model, IEEE Transactions on Medical Imaging, 36(9): 1939-1954, 2017

Yipeng Liu, Shan Wu, Xiaolin Huang, Bing Chen, Ce Zhu: HCS-DMRI: Periodic Time-Variant Subsampling and Omnidirectional Total Variation Based Reconstruction, IEEE Transactions on Medical Imaging, 36(10): 2148-2159, 2017

Yuning Yang, Yunlong Feng, Xiaolin Huang, Johan A.K. Suykens: Rank-1 Tensor Properties with Applications to a Class of Tensor Optimization Problems, SIAM Journal on Optimization, 26(1): 171-196, 2016

Thomas Köhler, Xiaolin Huang, Frank Schebesch, Andre Aichert, Andreas Maier, Joachime Hornegger: Robust Multi-Frame Super- Resolution Employing Iteratively Re-weighted Minimization, IEEE Transactions on Computational Imaging, 2(1): 42-58, 2016

Chao Shang, Fan Yang, Xiaoyong Gao, Xiaolin Huang, Johan A.K. Suykens, Dexian Huang: Concurrent Monitoring of Operating Condition Deviations and Process Dynamics Anomalies with Slow Feature Analysis, AIChE Journal, 61(11): 3666-3682, 2015

Xiaolin Huang, Marin Matijiaš, Johan A.K. Suykens: Hinging Hyperplanes for Time-Series Segmentation, IEEE Transactions on Neural Networks and Learning Systems, 24(8): 1279 -1291, 2013

Fanglin Chen, Xiaolin Huang, Jie Zhou: Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification, IEEE Transactions on Image Processing, 22(12): 4964-4971, 2013

Institute of Medical Robotics

沪交ICP备20190057 All rights reserved Institute of Medical Robotics Shanghai Jiao Tong University