林宙辰

教授

2000年 获得理学博士学位(北京大学)

办公地址:北京大学理科2号楼2219室

联系电话:62753313 E-mail: zlin AT pku DOT edu DOT cn

Webpage: http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

2016年度国家杰出青年基金获得者

目前正在招收数学能力突出的硕士、博士、直博、博士后和Tenure Track Faculty!欢迎投递简历!

同时欢迎优秀二、三年级本科生前来实习,有选送去香港中文大学汤晓鸥教授多媒体实验室实习的机会!

主要研究领域

机器学习,模式识别,计算机视觉,图像处理,数值计算与优化

工作经历

2000年7月至2012年2月:微软亚洲研究院视觉计算组,历任副研究员、研究员、主管研究员

2012年3月至今:北京大学信息科学技术学院智能科学系,教授

教育经历

1989年9月至1993年7月:南开大学数学系,基础数学专业,本科

1993年9月至1995年8月:北京大学数学系,信息科学专业,硕士

1995年9月至1997年8月:香港理工大学应用数学系,计算数学专业,硕士

1997年9月至2000年7月:北京大学数学学院信息科学系,图像处理专业,博士

代表性学术论著(请到http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm查询最新论文列表并下载)

  • Xiang Ren and Zhouchen Lin, Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures, accepted by International J. Computer Vision.
  • Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, and Zhixun Su, Toward Designing Intelligent PDEs for Computer Vision: A Data-Based Optimal Control Approach, Image and Vision Computing, Vol. 31, No. 1, pp. 43–56, 2013.
  • Guangcan Liu, Zhouchen Lin, Shuicheng Yan, Ju Sun, and Yi Ma, Robust Recovery of Subspace Structures by Low-Rank Representation, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 35, no. 1, pp. 171-184, 2013.
  • WenmingZheng and Zhouchen Lin, Discriminant Subspace Analysis for Multi-Class Feature Extraction and Classification, Pattern Recognition, vol. 45, no. 4, pp. 1426-1435, April 2012.
  • WangmengZuo and Zhouchen Lin, A Generalized Accelerated Proximal Gradient Approach for Total Variation-Based Image Restoration, IEEE Trans. Image Processing , vol. 20, no. 10, pp. 2748-2759, Oct. 2011.
  • Moshe Ben-Ezra, Zhouchen Lin, Bennett Wilburn, and Wei Zhang, Penrose Pixels for Super-Resolution, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 33, no. 7, pp. 1370-1383, July 2011.
  • Pengwei Hao, Yan Li, Zhouchen Lin, and E. Dubois, A Geometric Method for Optimal Design of Color Filter Arrays, IEEE Trans. Image Processing, vol. 20, no. 3, pp. 709-722, 2011.
  • Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Learning Semi-Riemannian Metrics for Semi-Supervised Feature Extraction,IEEE Trans. Knowledge Discovery and Engineering, vol. 23, no. 4, pp.600-611, 2011.
  • Risheng Liu, Zhouchen Lin, Zhixun Su, and Kewei Tang, Feature Extraction by Learning Lorentzian Metric Tensor and Its Extensions, Pattern Recognition, Vol. 43, No. 10, pp. 3298-3306, October 2010.
  • WenmingZheng,Zhouchen LinandXiaoou Tang, A Rank-One Update Algorithm for Fast Solving Kernel Foley-Sammon Optimal Discriminant Vectors, IEEE Trans. Neural Networks, Vol.21, No. 3, pp.393-403, March 2010.
  • Jiaping Wang, Yue Dong, Xin Tong, Zhouchen Lin, and Baining Guo,Kernel Nystr?m Method for Light Transport,Siggraph 2009, ACM Trans. on Graphics, Vol. 28, No. 3, August 2009.
  • Guangcan Liu, Zhouchen Lin, and Yong Yu, Multi-Output Regression on the Output Manifold, Pattern Recognition, Vol. 42, No. 11, pp. 2737-2743, 2009.
  • Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, Unsupervised Object Segmentation with a Hybrid Graph Model, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 32, No. 5, pp. 910-924, May 2010.
  • Guangcan Liu, Zhouchen Lin, and Yong Yu, Radon Representation Based Feature Descriptor for Texture Classification, IEEE Trans. Image Processing, Vol. 18, No. 5, pp. 921-928, 2009.
  • Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Tensor Linear Laplacian Discrimination (TLLD) for Feature Extraction, Pattern Recognition, Vol. 42, No. 9, pp. 1941-1948, September 2009.
  • Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Fast, Automatic and Fine-Grained Tampered JPEG Images Detection via DCT Coefficient Analysis, Pattern Recognition, Vol. 42, No. 11, pp. 2492-2501, 2009.
  • Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Limits of Learning-Based Superresolution Algorithms, International Journal of Computer Vision, Vol. 80, No. 3, pp. 406-420, 2008.
  • Jiaping Wang, Shuang Zhao, Xin Tong, Stephen Lin, Zhouchen Lin, Yue Dong, Baining Guo, and Heung-Yeung Shum, Modeling and Rendering of Heterogeneous Translucent Materials Using the Diffusion Equation, ACM Trans. Graphics, Vol.27, No. 1, pp. 1-18, 2008.
  • Zhouchen Lin, Lifeng Wang, Yunbo Wang, Singbing Kang, and Tian Fang, High Resolution Animated Scenes from Stills, IEEE Trans. Visualization and Computer Graphics, Vol. 13, No. 3, pp. 562-568, 2007.
  • Zhouchen Lin and Liang Wan, Style-Preserving English Handwriting Synthesis, Pattern Recognition, Vol. 40, No. 73, pp. 2097-2109, 2007.
  • Zhouchen Lin, Rongrong Wang, and Heung-Yeung Shum, Rule-Based Cleanup of On-line English Ink Notes, Pattern Recognition, Vol. 39, No. 6, pp. 1074-1087, June 2006.
  • Zhouchen Lin, Junfeng He, ZhichengZhong, Rongrong Wang, and Heung-Yeung Shum, Table Detection in On-line Ink Notes, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 28, No. 8, pp. 1341-1346, August 2006.
  • Zhouchen Lin and Heung-Yeung Shum, A Geometric Analysis of Light Field Rendering, International J. of Computer Vision, Vol. 58, No. 2, pp. 121-138, July 2004.
  • Zhouchen Lin and Heung-Yeung Shum, Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 26, No. 1, pp. 83-97, 2004.
  • Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum, Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction, International J. of Computer Vision, Vol. 49, No. 2/3, pp. 229-246, 2002.
  • Risheng Liu, Zhouchen Lin, Fernando De La Torre, and Zhixun Su, Fixed-Rank Representation for Unsupervised Visual Learning, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2012.
  • LianshengZhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, and Nenghai Yu, Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2012.
  • Zhouchen Lin, Risheng Liu, and Zhixun Su, Linearized Alternating Direction Method with Adaptive Penalty for Low Rank Representation, Advances in Neural Information Processing Systems (NIPS) 2011.
  • WenmingZheng,Hao Tang, Zhouchen Lin and Thomas Huang,Emotion Recognition from Arbitrary View Facial Images, European conference on Computer Vision(ECCV) 2010.
  • Risheng Liu, Zhouchen Lin, Wei Zhang and Zhixun Su, Learning PDEs for Image Restoration via Optimal Control, European conference on Computer Vision (ECCV) 2010.
  • Guangcan Liu, Zhouchen Lin and Yong Yu, Robust Subspace Segmentation by Low-Rank Representation, International Conf. Machine Learning (ICML) 2010.
  • WangmengZuo, Zhouchen Lin, Zhenhua Guo, and David Zhang, The Multiscale Competitive Code via Sparse Representation for Palmprint Verification, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2010.
  • WenmingZheng and Zhouchen Lin, Optimizing Multi-class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification, Advances in Neural Information Processing Systems(NIPS) 2009, oral presentation.
  • WenmingZheng, Hao Tang, Zhouchen Lin and Thomas Huang, A Novel Approach to Expression Recognition from Non-frontal Face Images,Int’l Conf. Computer Vision (ICCV) 2009.
  • Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Classification via Semi-Riemannian Spaces, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2008.
  • John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, and Heung-Yeung Shum, Classification via Minimum Incremental Coding Length (MICL), Advances in Neural Information Processing Systems (NIPS) 2007.
  • Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Laplacian PCA and Its Applications, Int’l Conf. Computer Vision (ICCV) 2007.
  • Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Contextual Distance for Data Perception, Int’l Conf. Computer Vision (ICCV) 2007.
  • Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, A Hybrid Graph Model for Unsupervised Object Segmentation, Int’l Conf. Computer Vision (ICCV) 2007.
  • Moshe Ben-Ezra, Zhouchen Lin, and Bennett Wilburn, Penrose Pixels: Super-Resolution in the Detector Layout Domain, Int’l Conf. Computer Vision (ICCV) 2007.
  • Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Limits of Learning-Based Superresolution Algorithms, Int’l Conf. Computer Vision (ICCV) 2007.
  • Deli Zhao, Zhouchen Lin, Rong Xiao, and Xiaoou Tang, Linear Laplacian Discrimination for Feature Extraction, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2007.
  • Junfeng He, Zhouchen Lin, Lifeng Wang, and Xiaoou Tang, Detecting Doctored JPEG Images via DCT Coefficient Analysis, 9th European Conf. on Computer Vision (ECCV), Vol. 3953, pp. 423-435, 2006.
  • Zhouchen Lin, Rongrong Wang, Xiaoou Tang, and Heung-Yeung Shum, Detecting Doctored Images Using Camera Response Normality and Consistency, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)2005, pp.1087-1092.
  • Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum, Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2001, oral presentation.
  • Zhouchen Lin and Heung-Yeung Shum, On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2001.
  • Zhouchen Lin and Heung-Yeung Shum, On the Number of Samples needed in Light Field Rendering with Constant-depth Assumption, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)2000, oral presentation.

主要学术任职

  • IEEE Trans. Pattern Analysis and Machine Intelligence编委(国际顶尖期刊,中国大陆第四个编委)
  • International J. Computer Vision编委(国际顶尖期刊,中国大陆第一个编委)
  • Neurocomputing编委
  • IEEE高级会员(Senior Member)
  • Area Chair: IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014(国际顶尖会议,中国大陆第二个Area Chair)
  • 东北师范大学"东师学者"讲座教授(2011年9月至2014年8月)
  • 上海交通大学兼职研究员(2009年3月至2012年2月)
  • 中国科学院计算技术研究所客座研究员(2008年2月至2011年2月)
  • 东南大学兼职教授(2007年10月起)
  • 北京交通大学兼职教授(2006年11月至2009年11月)

其他

拥有46项美国/国际专利