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黄晓霖

副教授,博士生导师

通讯地址: 电信群楼 2-429
电子邮件: xiaolinhuang@sjtu.edu.cn

  • 个人简介

    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年加入上海交通大学自动化系任副教授,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。

  • 研究方向

    机器学习、优化算法及其医学应用

  • 科研项目

    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

  • 代表性论文专著

    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

    其它论文:
    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

友情链接
沪交ICP备20190057 版权所有 上海交通大学医疗机器人研究院
医疗机器人研究院