黄晓霖

职称:长聘教轨副教授

邮箱:xiaolinhuang@sjtu.edu.cn

地址:电信群楼 2-429

个人主页:http://www.pami.sjtu.edu.cn/xiaolin

实验室主页:http://www.pami.sjtu.edu.cn

教育经历

- 2006-2012 清华大学 工学博士
- 2002-2006 西安交通大学 工学学士/理学学士

工作经历

  • 2016 至今  上海交通大学 副教授 
  • 2015-2017 埃尔兰根-纽伦堡大学(Friedrich-Alexander Universität Erlangen-Nürnberg) 洪堡学者
  • 2015-2016 鲁汶大学(KU Leuven) 自由研究员(兼)
  • 2012-2015 鲁汶大学(KU Leuven) 博士后研究员

科研方向

  • 机器学习方法及其优化 
  • 分片线性系统的建模、辨识及优化
  • 机器学习方法的医学应用(CT 图像重建等)

代表作

  • [著] S. Boyd, L. Vandenberghe, [译] 王书宁, 许鋆, 黄晓霖: 《凸优化》, 清华大学出版社, 2013. 
  • S. Chen, Z. He, C. Sun, J. Yang, X. Huang*: Universal Adversarial Attack on Attention and the Resulting Dataset DamageNet, IEEE Transactions on Pattern Analysis and Machine Intelligence, in press
  • S. Tang#, X. Huang#*, M. Chen, C. Sun, J. Yang*: Adversarial Attack Type I: Cheat Classifiers by Significant Changes, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3): 1100-1109, 2021
  • F. Liu, X. Huang*, C. Gong, J. Yang*, L. Li: Learning Data-adaptive Non-parametric Kernels, Journal of Machine Learning Research, 208: 1-39, 2020
  • W. Liu, P. Zhang, X. Huang*, J. Yang*, C. Shen, I. Reid: Real-time Image Smoothing via Iterative Least Squares, ACM Transactions on Graphics, 39(3): 1-10, 2020
  • L. Shi, X. Huang*, Y. Feng, J.A.K. Suykens: Sparse Kernel Regression with Coefficient-based lq regularization, Journal of Machine Learning Research, 161:1-64, 2019
  • 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, 43(1): 162-172, 2017.
  • 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, 2015.
  • X. Huang*, L. Shi, J.A.K. Suykens: Ramp Loss Linear Programming Support Vector Machine,Journal of Machine Learning Research, 15: 2185-2211, 2014.
  • 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, 2014.

其它论文


  • F.  Liu, X. Huang*, L. Shi, J. Yang*, J.A.K. Suykens: A Double-Variational Bayesian Framework in Random Fourier Features for Indefinite Kernels, IEEE Transactions on Neural Networks and Learning Systems, 31(8): 2162-2388, 2020
  • W. Xiao*, X. Huang*, F. He, J. Silva, S. Emrani, A.Chaudhuri: Online Robust Principal Component Analysis with Change Point Detection, IEEE Transactions on Multimedia, 22(1): 59-68, 2020
  • C. Ma, C. Gong, X. Li, X. Huang, W. Liu, J. Yang*: Toward Making Unsupervised Graph Hashing Discriminative, IEEE Transactions on Multimedia, 22(3): 760-774, 2020.
  • Y. Qin, J. Wan, H. Zheng, X. Huang, J. Yang*, L. Wu, N. Song, Y. Zhu, G.-Z. Yang: Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks, IEEE Transactions on Medical Imaging, 38(11): 2569-2581, 2019.
  • F. Liu, X. Huang*, J.Yang*, C. Gong, J.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
  • J. Cai, X. Huang*: Modified Sparse Linear-Discriminant Analysis via Nonconvex Penalties,  IEEE Transactions on Neural Networks and Learning Systems, 29(10): 4957-4966, 2018
  • 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, 29(5): 2025-2030, 2018.
  • Y. Huang*, O. Taubmann, X. Huang, V. Haase, G. Lauritsch, A. Maier, Scale-Space Anisotropic Total Variation for Limited Angle Tomography, IEEE Transactions on Radiation and Plasma Medical Sciences, 2(4): 307-314, 2018.
  • Y. Lu*, M. Kowarschik, X. Huang, S. Chen, Q. Ren, R. Fahrig, J. Hornegger, A. Maier: Material Decomposition using Ensemble Learning for Spectral X-ray Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences,2(3): 2469-7311, 2018.
  • F. Liu, C. Gong, X. Huang, T. Zhou, J. Yang*, D. Tao, Robust Visual Tracking Revisited: From Correlation Filter to Template Matching, IEEE Transcations on Image Processing,  27(6): 2777-2790, 2018. 
  • 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,  28(7):1584-1593, 2017.
  • 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, 36 (10): 2148-2159, 2017.
  • 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, 36(9): 1939-1954, 2017.
  • T. Köhler*, X. Huang, F. Schebesch, A. Aichert, A. Maier, and J. Hornegger: Robust Multi-Frame Super-Resolution Employing Iteratively Re-weighted Minimization, IEEE Transactions on Computational Imaging, 2(1): 42-58, 2016.
  • 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, 2016.
  • 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, 2016.
  • 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, 2015.
  • X. Huang*, L. Shi, J.A.K. Suykens: Asymmetric Least Squares Support Vector Machine,Computational Statistics and Data Analysis, 70: 395-405, 2014.
  • L. Shi*, X. Huang, J.A.K. Suykens: Quantile Regression with l1-regularization and Gaussian Kernels, Advances in Computational Mathematics, 40(2): 517-551, 2014.
  • 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, 2013.
  • F. Chen*, X. Huang, J. Zhou: Hierarchical Minutiae Matching for Fingerprint and Palmprint Identification, IEEE Transactions on Image Processing, 22(12): 4964-4971, 2013.
  • 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, 2012.
  • 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, 2012.
  • 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.


讲授课程



  • AU311   本科生课程《模式识别导论》(中英双文授课)
  • VE485   本科生课程(密歇根学院)《Convex Optimization in Machine Learning》 (英文授课)
  • AU7021 研究生课程《学习与控制中的优化》


   


小组成员

2016级:杨海岩(硕士研究生,2019 年毕业,入职百度)

2017级:楚天舒(博士研究生)   谢佳轩(硕士研究生,2020年毕业,UC Irvine 攻读博士)   何    凡(硕士研究生,2019年毕业,本校攻读博士)

2018级:王凯捷(博士研究生)   孙程锦(硕士研究生,2021年毕业,入职美团)   徐金田(硕士研究生,2021年毕业,入职拼多多) 

2019级:吴颖雯(博士研究生)   何    凡(博士研究生)   罗    钦(硕士研究生)  姚乐宇(硕士研究生) 王鹏博(硕士研究生)  谭   雷(硕士研究生)

2020级:何铭震(博士研究生)   陈思哲(硕士研究生)    李    涛(硕士研究生)  吴枢同(硕士研究生)

 

 

 

博士后研究员:期待有志在机器学习理论、优化算法、及其工业应用方面开展研究的优秀博士加入课题组,欢迎来信咨询。

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