2006年在西安交通大学获工学和理学学士学位，2012年在清华大学自动化系获工学博士学位。2012年至2015年在比利时鲁汶大学（KU Leuven）电子工程系任博士后。2015年4月起作为洪堡学者在德国埃尔兰根-纽伦堡大学（Friedrich-Alexander Universität Erlangen-Nürnberg）计算机系任研究组组长。2016年加入开云网页登录 自动化系任副教授，博士生导师。
主要研究方向为机器学习、优化算法及其在医学图像中的应用；已在JMLR, TPAMI, ACHA, TNNLS, TMI, TIP, TMM, Automatica, SIAM J. Optimization等期刊和会议上发表论文四十余篇。近年来，主持国家自然科学基金面上项目1项，青年项目1项，参与国家重点研发计划1项。研究成果获得德国医学图象处理年会最佳科学贡献一等奖（2017），合作论文获得13th International Workshop on Document Analysis Systems 最佳学生论文奖，2019 International Conference on Industrial Artificial Intelligence 最佳论文奖。

机器学习、优化算法及其医学应用

自然科学基金：多层非正定核学习理论、算法及应用研究
自然科学基金：稳健一比特压缩感知及其应用
洪堡基金: Piecewise linear technology in machine learning and applications on medical engineering
华为公司项目：检测与分类方法的稳定性增强方法

Mingzhen He, Fen He, Lei Shi*, Xiaolin Huang*, Johan A.K. Suykens: Learning with Asymmetric Kernels: Least Squares and Feature Interpretation, IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted

Tao Li, Lei Tan, Zhehao Huang, Qinghua Tao, Yipeng Liu, Xiaolin Huang*: Low Dimensional Trajectory Hypothesis is True: DNNs can be Trained in Tiny Subspaces, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3): 3411-3420, 2023

Qinghua Tao*, Li Li*, Xiaolin Huang*, Xiangming Xi, Shuning Wang, Johan A.K. Suykens: Piecewise Linear Neural Networks and Deep Learning, Nature Review Method Primers, 2: 1-17, 2022.

Fanghui Liu*, Xiaolin Huang*, Yudong Chen, Johan A.K. Suykens: Towards a Unified Quadrature Framework for Large-Scale Kernel Machines, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11): 7975-7988, 2022

Fanghui Liu*, Xiaolin Huang*, Yudong Chen, Johan A.K. Suykens: Random features for kernel approximation: A survey on algorithms, theory, and beyond, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10): 7128-7148, 2022

Wei Liu, Pingping Zhang, Yinjie Lei, Xiaolin Huang*, Jie Yang*, Michael Ng: A generalized framework for edge-preserving and structure-preserving image smoothing, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(10): 6631-6648, 2022

Sizhe Chen, Zhengbao He, Chengjin Sun, Jie Yang, Xiaolin Huang*: Universal Adversarial Attack on Attention and the Resulting Dataset DamageNet, IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(4): 2188-2197, 2022

Fanghui Liu*, Lei Shi, Xiaolin Huang, Jie Yang*, Johan A.K. Suykens: Generalization properties of hyper-RKHS and its applications, Journal of Machine Learning Research, 22(1): 1-38, 2021.

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, 43(3): 1100-1109, 2021.

Fanghui Liu, Xiaolin Huang*, Chen Gong, Jie Yang*, Li Li: Learning Data-adaptive Non-parametric Kernels, Journal of Machine Learning Research, 21(208): 1-39, 2020

Wei Liu, Pingping Zhang, Xiaolin Huang*, Jie Yang*, Chunhua Shen, Ian Reid: Real-time Image Smoothing via Iterative Least Squares, ACM Transactions on Graphics, 39(3): 1-10, 2020.

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 Maier, 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

其它论文：
Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-zhong Yang: Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT, IEEE Transactions on Medical Imaging, 2021

Shuqing Chen, Xia Zhong, Sabrina Dorn, Nishant Ravikumar, Qinghua Tao, Xiaolin Huang, Michael Lell, Marc Kachelriess, Andreas Maier: Improving Generalization Capability of Multi-Organ Segmentation Models Using Dual-Energy CT, IEEE Transactions on Radiation and Plasma Medical Sciences, 2021

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