Welcome to Zhouchen Lin's Homepage!

(Taken in 2000)

(Taken in 2009)

Dr. Zhouchen Lin is a Professor in Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University.

I am now recruiting Masters and Ph.D.s who have strong mathematical abilities (however, this does not imply that you have to come from mathematics department) in order to enjoy with me how to use mathematics to solve real problems elegantly. Welcome to send me (zlin (at) pku (dot) edu (dot) cn) your detailed resume as early as possible!

Nothing is more practical than a good theory. ---- V. Vapnik

Latest News:

1. Five coauthored papers were accepted by CVPR2014, including three orals.

2. Two coauthored papers were accepted by ICCV 2013.

3. I was invited to be an exectutive editor of a new American Institute of Mathematical Sciences journal, Big Data and Information Analytics.

4. I was invited to be an area chair of IEEE Conf. Computer Vision and Pattern Recognition (CVPR) 2014.

5. I was invited to the editorial board of International Journal of Computer Vision (the first among domestic Chinese scholars).


Curriculum Vitae:

Mar. 2012 – present:

Professor

Peking University

Image Processing, Pattern Recognition, Machine Learning, Optimization

Mar. 2010 – Feb. 2012:

Lead Researcher

Visual Computing Group, Microsoft Research, Asia

Image Processing, Pattern Recognition, Machine Learning, Optimization

Sept. 2004 – Feb. 2010:

Researcher

Visual Computing Group, Microsoft Research, Asia

Image Processing, Computer Vision, Computer Graphics, Pattern Recognition, Machine Learning

April 2002 - Aug. 2004:

Researcher

Multi-Modal User Interface Group, Microsoft Research, Asia

Digital Ink, Digital Pen, Pattern Recognition, Machine Learning, Document Processing/Analysis, Biometrics, Numerical Computation, Coding Theory, Security

July 2000 - March 2002:

Associate Researcher

Visual Computing Group,  Microsoft Research, China

Computer Vision and Computer Graphics

April 1999 - Dec. 1999:

Intern

Visual Computing Group,  Microsoft Research, China

Computer Vision and Computer Graphics

Sept. 1997 - July 2000:

Doctoral Candidate

Dept. of Mathematics, Peking University

Image Processing, Computer Vision, Pattern Recognition

Sept. 1995 - Aug. 1997:

Master Candidate

Dept. of Applied Mathematics, Hong Kong Polytechnic University

Numerical Computation/Simulation

Sept. 1993 - Aug. 1995:

Master Candidate

Dept. of Mathematics, Peking University

Image Processing, Image Database

Sept. 1989 - Aug. 1993:

Bachelor Candidate

Dept. of  Mathematics, Nankai University

Pure Mathematics

Research Interest:

Computer Vision, Image Processing, Machine Learning, Numerical Computation and Optimization, Computer Graphics, Pattern Recognition

Book Chapters:

1. Liang Wan and Zhouchen Lin, Signature Sample Synthesis, Encyclopedia of Biometrics (Stan Z. Li (Ed.)), pp. 1205-1210, Springer, August 27, 2009. [pdf]

2. Zhouchen Lin, Learning-Based Image Superresolution Algorithms (in Chinese), Machine Learning and Applications 2009 (Z. Zhou and J. Wang (Ed.)), Tsinghua University Press, Nov. 2009. [pdf]

3. Wei Feng, Liang Wan, Zhouchen Lin, Tien-Tsin Wong, Zhi-Qiang Liu, Perceptual Thumnail Generation, Perceptual Digital Imaging: Methods and Applications (Rastislav Lukac (Ed.)), CRC Press, Oct. 29, 2012. [pdf]

4. Zhouchen Lin, Rank Minimization: Theories, Algorithms, and Applications (in Chinese), Machine Learning and Applications 2013 (C. Zhang and Z. Zhou (Ed.)), Tsinghua University Press, Oct. 2013. [pdf]

5. Zhouchen Lin, Wei Zhang, Learning Partial Differential Equations for Computer Vision, Proc. of the third Tsinghua International Mathematics Forum, Higher Education Press, to appear. [pdf]

Journal Papers:

55. Hongyang Zhang, Zhouchen Lin, Chao Zhang, and Junbin Gao, Relation among Some Low Rank Subspace Recovery Models, submitted to J. Machine Learning Research.

 

54. Yifan Fu, Junbin Gao, David Tien, Zhouchen Lin, and Xia Hong, Tensor LRR and Sparse Coding Based Subspace Clustering, submitted to IEEE Trans. Knowledge and Data Engineering.

 

53. Zhouchen Lin, Risheng Liu, and Huan Li, Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penality for Separable Convex Programs in Machine Learning , submitted to Machine Learning (Special Issue for ACML2013).

 

52. Canyi Lu, Zhouchen Lin, and Shuicheng Yan, Smoothed Low Rank and Sparse Matrix Recovery by Iteratively Reweighted Least Squared Minimization, submitted to IEEE Trans. Image Processing.

 

51. Ming Yin, Junbin Gao, Zhouchen Lin, Laplacian Regularized Low-Rank Representation and Its Applications, submitted to IEEE Trans. Pattern Analysis and Machine Intelligence.

 

50. Li Yang, Yang Lin, Zhouchen Lin, Tong Lin, and Hongbin Zha, Factorization for Projective and Metric Reconstruction via Weighted Nuclear Norm Minimization, submitted to Neurocomputing.

 

49. Jinshan Pan, Risheng Liu, Zhixun Su, and Zhouchen Lin, Robust Kernel Estimation for Blind Deblurring with Severe Outliers, submitted to IEEE Trans. Image Processing.

 

48. Jinshan Pan, Zhixun Su, Risheng Liu, Zhouchen Lin, and Yu Cai, Blind Image Deblurring via Salient Structure Detection and Sparse Representation, submitted to Image and Vision Computing.

 

47. Wenming Zheng, Hao Tang, Zhouchen Lin, and Thomas Huang, Emotion Recognition from Arbitrary View Facial Expression Images, submitted to IEEE Trans. Neural Networks and Learning Systems.

 

46. Risheng Liu, Zhouchen Lin, and Zhixun Su, Learning Markov Random Walks for Robust Subspace Clustering and Enstimation, submitted to IEEE Trans. Neural Networks and Learning Systems.

 

45. Hongyang Zhang, Zhouchen Lin, Chao Zhang, Junbin Gao, Robust Latent Low Rank Representation for Subspace Clustering, accepted by Neurocomputing. [pdf]

 

44. Risheng Liu, Zhouchen Lin, Zhixun Su, and Junbin Gao, Solving Principal Component Pursuit in Linear Time via l1 Filtering, accepted by Neurocomputing (arXiv: 1108.5359).

 

43. Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao, Geodesic Based Semi-supervised Multi-manifold Discriminant Analysis for Image Classification, accepted by IEEE Trans. Image Processing. [pdf]

 

42. Wenming Zheng, Zhouchen Lin, and Haixian Wang, L1-Norm Kernel Discriminant Analysis via Bayes Error Bound Optimization for Robust Feature Extraction, IEEE Trans. Neural Networks and Learning Systems, Vol. 25, No. 4, pp. 793-805, April 2014. [pdf]

 

41. Xin Zhang, Zhouchen Lin, Fuchun Sun, and Yi Ma, Transform invariant text extraction, The Visual Computer, Aug. 2013. [pdf]

 

40. Liansheng Zhuang, Haoyuan Gao, Jiebo Luo, Zhouchen Lin, Regularized Semi-Supervised Latent Dirichlet Allocation for Visual Concept Learning, Neurocomputing, Vol. 119, pp. 26-32, Nov. 7, 2013. [pdf]

 

39. Qin Lyu, Zhouchen Lin, Yiyuan She, and Chao Zhang, A Comparison of Typical lp Minimization Algorithms, Neurocomputing, Vol. 119, pp. 413-424, 2013. [pdf]

 

38. Chunguang Li, Zhouchen Lin, and Jun Guo, Bases Sorting: Generalizing the Concept of Frequency for Over-complete Dictionaries, Neurocomputing, Vol. 115, pp. 192-200, Sept. 2013. [pdf]

 

37. Xiang Ren and Zhouchen Lin, Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures, International J. Computer Vision, Vol. 104, pp. 1-14, 2013. [pdf][code]

 

36. Risheng Liu, Zhouchen Lin, Wei Zhang, Kewei Tang, and Zhixun Su, Toward Designing Intelligent PDEs for Computer Vision: An Optimal Control Approach, Image and Vision Computing, Vol. 31, No. 1, pp. 43–56, 2013. [pdf][code]

 

35. Dongwei Ren, Wangmeng Zuo, Xiaofei Zhao, Zhouchen Lin, David Zhang, Fast Gradient Vector Flow Computation Based on Augmented Lagrangian Method, Pattern Recognition Letters, vol. 34, no. 2, pp. 219-225, 2013. [pdf]

 

34. 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. [pdf]

 

33. Wenming Zheng and Zhouchen Lin, A New Discriminant Subspace Analysis Approach for Multi-Class Problems, Pattern Recognition, vol. 45, no. 4, pp. 1426-1435, April 2012.[pdf]

 

32. Wangmeng Zuo 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. [pdf][code]

 

31. 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. [pdf]

 

30. 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. [pdf]

 

29. Yan Li, Pengwei Hao, and Zhouchen Lin, The Frequency Structure Matrix: A Representation of Color Filter Arrays, International Journal of Imaging Systems and Technology, vol. 21, pp. 101-106, 2011. [pdf]

 

28. Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction, IEEE Trans. Knowledge Discovery and Engineering, vol. 23, no. 4, pp. 600-611, 2011. [pdf]

 

27. 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.  [pdf]

 

26. Wenming Zheng, Zhouchen Lin, and XiaoouTang, 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. [pdf]

 

25. Jiaping Wang, Yue Dong, Xin Tong, Zhouchen Lin, and Baining Guo, Kernel Nyström Method for Light Transport, Siggraph 2009, ACM Trans. on Graphics, Vol. 28, No. 3, August 2009. [pdf]

 

24. Guangcan Liu, Zhouchen Lin, and Yong Yu, Multi-Output Regression on the Output Manifold, Pattern Recognition, Vol. 42, No. 11, pp. 2737-2743, 2009. [pdf]

 

23. Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, Unsupervised Object Segmentation with a Hybrid Graph Model, IEEE Trans. Pattern Analysis and Machine Intelligence, May 2010. [pdf]

 

22. 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. [pdf]

 

21. Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Tensor Linear Laplacian Discrimination (TLLD) for Feature Extraction, Pattern Recognition, Vol. 42, No. 9, pp. 1941-1948, 2009. [pdf]

 

20. John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, and Heung-Yeung Shum, Classification via Minimum Incremental Coding Length, SIAM Journal on Imaging Science, Vol. 2, No. 2, pp. 367-395, 2009. [pdf]

 

19. 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. [pdf]

 

18. 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. [pdf]

 

17. Liang Wan, Wei Feng, Zhouchen Lin, Tien-Tsin Wong, and Zhi-Qiang Liu, Perceptual Image Preview, Multimedia Systems Journal, Vol. 14, No. 4, pp. 195-204, September 2008. [pdf]

 

16. 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. on Graphics, Vol.27, No. 1, pp. 1-18, 2008. [pdf]

 

15. 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. [pdf]

 

14. Zhouchen Lin and Liang Wan, Style-Preserving Handwriting Synthesis, Pattern Recognition, Vol. 40, No. 7, pp. 2097-2109, 2007. [pdf]

 

13. 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. [pdf]

 

12. Zhouchen Lin, Junfeng He, Zhicheng Zhong, Rongrong Wang, and Heung-Yeung Shum, Table Detection in Online Ink Notes, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, No. 8, pp. 1341-1346, August 2006. [pdf]

 

11. Zhouchen Lin and Heung-Yeung Shum, Response to Comments on Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 28, No. 5, p. 847, May 2006.

 

10. Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, and Jian Wang, Pre-filtering 2D Polygons without Clipping, Journal of Graphics Tools, 10(1):17-26, 2005. [pdf]

 

9. Zhouchen Lin, Hai-Tao Chen, Heung-Yeung Shum, and Jian Wang, Optimal Polynomial Filters, Journal of Graphics Tools, 10(1):27-38, 2005. [pdf]

 

8. 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. [pdf]

 

7. 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. [pdf]

 

6. Ke Deng, Lifeng Wang, Zhouchen Lin, Tao Feng, and Zhidong Deng, Correction and Rectification of Light Fields, Computers & Graphics, Vol. 27, No. 2, pp. 169-177, 2003. [pdf]

 

5. 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, Sept. 2002. [pdf]

 

4. 林宙辰,石青云,用四次多项式插值消除医用X射线CT中的金属伪影(Reduction of Metal Artifact in X-ray CT using Quartic-Polynomial Interpolation),  Journal of Image and Graphics (中国图象图形学报), Vol. 6, no. 2, pp. 142-147, 2001.

 

3. 林宙辰,石青云,一个能去噪和保持真实感的各向异性扩散方程, (Anisotropic Diffusion Equation that Can Remove Noise and Keep Naturalness), Chinese Journal of Computers (计算机学报), Vol.22, No.11, pp.1133-1137, 1999.

 

2. 林宙辰,石青云,用二进小波消除磁共振图像中的振铃效应(Using Dyadic Wavelets to Reduce the Ringing Artifacts in NMR Images), Pattern Recognition and Artificial Intelligence (模式识别与人工智能)Vol.12, No.3, pp.320-324 (1999).

 

1. Zhouchen Lin, Tsai-Man Shih, Mathematical Optimal Control Models of Continuous Casting, Mathematica Applicata (应用数学), Vol. 11, No. 1, pp. 119-127, 1998.

Refereed Conference Papers:

55. Who, Who, Who, and Zhouchen Lin, Blah, Blah, Blah, Blah, submitted to CVPR 2014 Biometrics Workshop.

54. Who, Who, Zhouchen Lin, Who, Who, and Who, Blah, Blah, Blah, Blah, submitted to ECCV2014.

53. Who, Who, Who, Zhouchen Lin, and Who, Blah, Blah, Blah, Blah, submitted to ICIP2014.

52. Li Yang, Yang Lin, Zhouchen Lin, and Hongbin Zha, Blah, Blah, Blah, Blah, accepted by ICPR2014.

51. Canyi Lu, Yunchao Wei, Zhouchen Lin, and Shuicheng Yan, Proximal Iteratively Reweighted Algorithm with Multiple Splitting for Noncovex Sparsity Optimization , AAAI2014. [pdf]

50. Yifan Fu, Junbin Gao, David Tien, and Zhouchen Lin, Tensor LRR Based Subspace Clustering, International Joint Conference on Neural Networks (IJCNN) 2014. [pdf]

49. Han Hu, Zhouchen Lin, Jianjiang Feng, and Jie Zhou, Smooth Representation Clustering, CVPR2014, oral presentation. [pdf][supplementary material]

48. Jiashi Feng, Zhouchen Lin, Huan Xu, and Shuicheng Yan, Robust Subspace Segmentation with Block-diagonal Prior, CVPR2014, oral presentation. [pdf][supplementary material]

47. Risheng Liu, Jingjie Cao, Guangyu Zhong, Zhouchen Lin, Shiguang Shan, and Zhixun Su, Adaptive Partial Differential Equation Learning for Visual Saliency Detection, CVPR2014, oral presentation. [pdf][supplementary material]

46. Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille, and Wen Gao, Robust Estimation of 3D Human Poses from Single Images, CVPR2014. [pdf][supplementary material]

45. Canyi Lu, Shuicheng Yan, and Zhouchen Lin, Generalized Nonconvex Nonsmooth Low-Rank Minimization, CVPR2014. [pdf]

44. Risheng Liu and Zhouchen Lin, Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning, ACML2013, arXiv: 1310.5035. [pdf][supplementary material]

43. Canyi Lu, Shuicheng Yan, and Zhouchen Lin, Correntropy Induced L2 Graph for Robust Subspace Clustering, ICCV2013. [pdf]

42. Canyi Lu, Zhouchen Lin, and Shuicheng Yan, Correlation Adaptive Subspace Segmentation by Trace Lasso, ICCV2013. [pdf] [supplementary material] [code]

41. Hongyang Zhang, Zhouchen Lin, and Chao Zhang, A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank, ECML/PKDD2013, arXiv: 1304.6233.

40. Xin Zhang, Zhouchen Lin, Fuchun Sun, and Yi Ma, Rectification of Optical Characters as Transform Invariant Low-rank Textures, ICDAR2013. [pdf]

39. Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, and Hujun Bao, Geodesic Based Semi-supervised Multi-manifold Feature Extraction, ICDM 2012, pp. 852-857. [pdf]

 

38. Risheng Liu, Zhouchen Lin, Fernando De La Torre, and Zhixun Su, Fixed-Rank Representation for Unsupervised Visual Learning, CVPR 2012. [pdf][supplementary material]

 

37. Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma, Xin Zhang, and Nenghai Yu, Non-Negative Low Rank and Sparse Graph for Semi-Supervised Learning, CVPR2012. [pdf]

 

36. Zhouchen Lin, Risheng Liu, and Zhixun Su, Linearized Alternating Direction Method with Adaptive Penalty for Low Rank Representation, NIPS 2011, arXiv: 1109.0367. [pdf][supplementary material][code]

 

35. Wenming Zheng, Hao Tang, Zhouchen Lin and Thomas Huang, Emotion Recognition from Arbitrary View Facial Images, ECCV 2010. [pdf]

 

34. Risheng Liu, Zhouchen Lin, Wei Zhang and Zhixun Su, Learning PDEs for Image Restoration via Optimal Control, ECCV 2010. [pdf]

 

33. Guangcan Liu, Zhouchen Lin and Yong Yu, Robust Subspace Segmentation by Low-Rank Representation, ICML 2010. [pdf]

 

32. Moshe Ben-Ezra, Zhouchen Lin, and Bennett S. Wilburn, Aperiodic pixel layout for super-resolution (Invited Paper), Optics, Photonics and Digital Technologies for Multimedia Applications (SPIE photonics Europe 2010), Proceedings of SPIE, Volume 7723, April 2010.

 

31. Wangmeng Zuo, Zhouchen Lin, Zhenhua Guo, and David Zhang, The Multiscale Competitive Code via Sparse Representation for Palmprint Verification, CVPR 2010. [pdf]

 

30. Jingjing Fu, Zhouchen Lin, Bing Zeng, and Feng Wu, Tree Structure Based Analyses on Compressive Sensing for Binary Sparse Sources, Data Compression Conference (DCC) 2010.

 

29. Arvind Ganesh, Zhouchen Lin, John Wright, Leqin Wu, Minming Chen, and Yi Ma, Fast Algorithms for Recovering a Corrupted Low-Rank Matrix, International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, December 2009, invited paper. [pdf]

 

28. Wenming Zheng and Zhouchen Lin, Optimizing Multi-class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification, NIPS 2009, oral presentation. [pdf]

 

27. Yanlin Geng, Tong Lin, Zhouchen Lin, and Pengwei Hao, Refined Exponential Filter with Applications to Image Restoration and Interpolation, ACCV 2009. [pdf]

 

26. Risheng Liu, Zhixun Su, Zhouchen Lin, and Xiaoyu Hou, Lorentzian Discriminant Projection and Its Applications, ACCV 2009. [pdf]

 

25. Wenming Zheng, Hao Tang, Zhouchen Lin and Thomas Huang, A Novel Approach to Expression Recognition from Non-frontal Face Images, ICCV 2009. [pdf]

 

24. Feng Wu, Jingjing Fu, Zhouchen Lin, and Bing Zeng, Analysis on Rate-distortion Performance of Compressive Sensing for Binary Sparse Source, Data Compression Conference (DCC) 2009, pp. 113-122. [pdf]

 

23. Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Classification via Semi-Riemannian Spaces, CVPR 2008. [pdf]

 

22. 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 2007. [pdf]

 

21. Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Laplacian PCA and Its Applications, Int’l Conf. Computer Vision’07. [pdf]

 

20. Deli Zhao, Zhouchen Lin, and Xiaoou Tang, Contextual Distance for Data Perception, Int’l Conf. Computer Vision’07. [pdf]

 

19. Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, A Hybrid Graph Model for Unsupervised Object Segmentation, Int’l Conf. Computer Vision’07. [pdf]

 

18. Moshe Ben-Ezra, Zhouchen Lin, and Bennett Wilburn, Penrose Pixels: Super-Resolution in the Detector Layout Domain, Int’l Conf. Computer Vision’07. [pdf]

 

17. Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Limits of Learning-Based Superresolution Algorithms, Int’l Conf. Computer Vision’07. [pdf]

 

16. Deli Zhao, Zhouchen Lin, Rong Xiao, and Xiaoou Tang, Linear Laplacian Discrimination for Feature Extraction, IEEE Conf. on Computer Vision and Pattern Recognition 2007 (CVPR’07). [pdf]

 

15. Lifeng Wang, Zhouchen Lin, Tian Fang, Xu Yang, Xuan Yu, and Singbing Kang, Real-Time Rendering of Realistic Rain, Siggraph 2006 Sketches, p. 156. [pdf]

 

14. Zhouchen Lin, Lifeng Wang, and Liang Wan, First Order Approximation for Texture Filtering, Pacific Graphics 2006, Taipei, Taiwan, October 2006. [pdf]

 

13. Junfeng He, Zhouchen Lin, Lifeng Wang, and Xiaoou Tang, Detecting Doctored JPEG Images via DCT Coefficient Analysis, 9th European Conf. on Computer Vision, Lecture Notes on Computer Science, Vol. 3953, pp. 423-435, 2006. [pdf]

 

12. Liang Wan, Bin Wan, and Zhouchen Lin, On-Line Signature Verification With Two-Stage Statistical Models, Int’l Conf. on Document Analysis and Recognition 2005 (ICDAR’05), pp. 282-286, 2005. [pdf]

 

11. 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 2005 (CVPR’05), pp.1087-1092. [pdf]

 

10. Liang Wan, Zhouchen Lin, and Rong Chun Zhao, Signature verification using integrated classifiers, The 4th Chinese Conference on Biometric Recognition (Sinobiometrics'03), Beijing, P.R. China, Dec. 7-8, 2003.

 

9. Liang Wan, Zhouchen Lin, Rong-Chun Zhao, Off-line Signature Verification Incorporating the Prior Model, International Conference on Machine Learning and Cybernetics (ICMLC2003), Xi'an, China, pp. 1602-1606, 2-5 November, 2003. [pdf]

 

8. Ke Deng, Lifeng Wang, Zhouchen Lin, Tao Feng, Zhidong Deng, Baining Guo, Correction and Rectification of Light Field, Proceedings of Virtual Reality and Its Implement (VRAI’2002), pp. 84-91, Hangzhou ,China, 2002.

 

7. Zhouchen Lin, Tien-Tsin Wong, Heung-Yeung Shum, Relighting with the Reflected Irradiance Field: Representation, Sampling and Reconstruction, CVPR'01, Kauai, Hawaii, pp. 561-567, Vol. 1, 8-14 December, 2001, oral presentation. [pdf]

 

6. Zhouchen Lin and Heung-Yeung Shum, On the Fundamental Limits of Reconstruction-Based Super-resolution Algorithms, CVPR'01, Kauai, Hawaii, pp. 1171-1176, Vol. 1, 8-14 December, 2001. [pdf]

 

5. Zhouchen Lin and Heung-Yeung Shum, On the Number of Samples Needed in Light Field Rendering with Constant-depth Assumption, Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR’2000), Hilton Head Island, South Carolina, USA, pp. 588-579, June 2000, oral presentation. [pdf]

 

4. Zhouchen Lin, Qing-Yun Shi, An Anisotropic Diffusion PDE for Noise Reduction and Thin Edge Preservation, Proceedings of ICIAP'99 (10th International Conference on Image Analysis and Processing), Venice, Italy, pp. 102-107, 1999. [pdf]

 

3. Zhouchen Lin, Tsai-Man Shih, Constrained Optimal 0Control of Continuous CastingProceedings of THERMEC'97 (International Conference on Thermo-mechanical Processing of Steels and Other Materials), Wollongong, Australia, The Minerals, Metals and Materials Society, pp. 2133-2139, 1997.

 

2. Zhouchen Lin, Tsai-Man Shih, Numerical Analysis of the Bulging of Continuously Cast SlabsWorkshop on Scientific Computing (G. Golub et al. eds.)Springer-Verlag, pp. 243-249, 1997.

 

1. 林宙辰,石济民,连续铸钢的最优控制 (Optimal Control of Continuous Casting),第九届全国炼钢学术会议论文集,广州,中国,pp. 630-637,  1996.

Technical Reports:

1. Lifeng Wang, Zhouchen Lin, Tian Fang, Xu Yang, Xuan Yu, Sing Bing Kang, Real-Time Rendering of Realistic Rain, MSR-TR-2006-102, July 2006.

 

2. Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Limits of Learning-Based Superresolution Algorithms, MSR-TR-2009-92, August 2007.

 

3. Lifeng Wang, Zhouchen Lin, Wenle Wang, and Kai Fu, One-Shot Approximate Local Shading, 2008. [pdf]

 

4. Yan Li, Pengwei Hao, and Zhouchen Lin, Color Filter Arrays: Representation and Analysis, Tech. Report no. RR-08-04, Dept. of Computer Science, Queen Mary, Univ. of London, 2008.

 

5. Yan Li, Pengwei Hao, and Zhouchen Lin, Color Filter Arrays: A Design Methodology, Tech. report no. RR-08-03, Dept. of Computer Science, Queen Mary, Univ. of London, 2008.

 

6. Zhouchen Lin, Wei Zhang, and Xiaoou Tang, Learning Partial Differential Equations for Computer Vision, MSR-TR-2008-189, August 2008.

 

7. Zhouchen Lin, Wei Zhang, and Xiaoou Tang, Designing Partial Differential Equations for Image Processing by Combining Differential Invariants, MSR-TR-2009-192, August 2009.

 

8. Zhouchen Lin, Arvind Ganesh, John Wright, Leqin Wu, Minming Chen, and Yi Ma, Fast Convex Optimization Algorithms for Exact Recovery of a Corrupted Low-Rank Matrix, Technical Report UILU-ENG-09-2214, UIUC, August 2009.

 

9. Zhouchen Lin, Minming Chen, and Yi Ma, The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrix, Technical Report UILU-ENG-09-2215, UIUC, October 2009 (arXiv: 1009.5055). [pdf][code] Please cite this technical report as "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." instead. Thanks!

 

10. Zhouchen Lin, Some Software Packages for Partial SVD Computation, arXiv: 1108.1548. [optPROPACK-code][thresholdLANSVD-code][BLWS-code]

 

11. Siming Wei and Zhouchen Lin, Analysis and Improvement of Low Rank Representation for Subspace segmentation, arXiv: 1107.1561.

 

12. Zhouchen Lin and Siming Wei, A Block Lanczos with Warm Start Technique for Accelerating Nuclear Norm Minimization Algorithms, arXiv: 1012.0365. [code]

 

International/US Patents: (Those marked by ‘*’ have been approved)

1. Inertial Sensors Integration

2. ****Decoding and Error Correction in 2-D Arrays (Four Patents)

3. *High Quality Anti-Aliasing

4. *Enhanced Approach of m-Array Decoding and Error Correction

5. *System and Method for Shape Recognition of Hand-Drawn Objects

6. *System and Method for Detecting a List in Ink Input

7. *(OC#003797.01141/MS#310592.01) Personalized Ink Font

8. *(OC#003797.01286/MS#312273.01) Ink Input Region Adjustments

9. *(OC#003797.01138/MS#310593.01) Form Factor and Input Method for Language Input

10. *(OC#003797.01171/MS#310612.01) Direct Homography Computation by Local Linearization

11. *(OC#003797.01143/MS#310599.01) Digital Pen Calibration by Local Linearization

12. (OC#003797.01215/MS#310614.01) Embedding Method for Embedded Interaction Code Array

13. *(OC#003797.01180/MS#310618.01) Global Metadata Embedding and Decoding

14. *(OC#003797.01146/MS#310607.01) Local Metadata Embedding and Decoding

15. (OC#418268599US/MS#310609.01) Stroke Localization and Binding to Electronic Document

16. *(OC#003797.01169/MS#310608.01) Spatial Transforms from Displayed Codes

17. *(OC#003797.01178/MS#310615.01) Fast Error-Correcting of Embedded Interaction Codes

18. *(OC#003797.01223/MS#311650.01) Detecting Doctored Images Using Camera Response Normality and Consistency

19. *(MS#312122.01) Analyzing Scripts and Determining Characters in Expression Recognition

20. *(MS#312123.01) Analyzing Subordinate Sub-Expressions in Expression Recognition

21. *(OC#312934.01/MS#418268220US) Cleaning up Handwriting Intra-Stroke and Inter-Stroke Overtracing

22. *(OC#003797.01708/MS#314962.01) Script Recognition for Ink Notes

23. *(OC#003797.01709/MS#314958.01) Table Detection in Ink Notes

24. *(OC#003797.01768/MS#315791.01) Framework for Detecting a Structured Handwritten Object

25. *(OC#003797.01713/MS#314957.01) Handwriting Recognition Training and Synthesis

26. *(OC#003797.01712/MS#314960.01) Signature Verification

27. *(OC#003797.01714/MS#314963.01) Annotation Detection and Anchoring on Ink Notes

28. *(OC#MS1-2868US/MS#314961.01) Strategies for Processing Annotations

29. *(OC#003797.01710/MS#314956.01) Ink-Parser-Parameter Optimization

30. *(OC#MS1-3025US/MS#315779.01) Detecting Doctored JPEG Images

31. *(OC#MS1-3026US/MS#315780.01) Method, Device and Program for Detecting Perceptual Features of a Larger Image and Incorporating Information of the Detected Perceptual Features into a Smaller Preview Image

32. *(OC#MS1-3144US/MS#316796.01) Producing Animated Scenes from Still Images

33. *(OC#MS1-3129US/MS#316797.01) Real-Time Rendering of Realistic Rain

34. *(OC#MS1-3165US/MS#317058.01) Decoding Technique for Linear Block Codes

35. (OC#MS1-3232US/MS#317729.01) Revenue-Based Advertising Auction

36. *(OC#MS1-3430US/MS#319037.01) 2D Barcode Recognition

37. *(MS#321551.01) Super-resolution in Periodic and Aperiodic Pixel Imaging

38. *(OC#MS1-3608US/MS#321168.01) Hybrid Graph Model for Unsupervised Object Segmentation

39. *(MS#322063.01) Method for Modeling Data Structures Using Local Context

40. *(OC#MS1-366US/ MS#321952.01) Laplacian Principal Components Analysis (LPCA)

41. *(OC#MS1-3609US/MS#321459.01) Modeling and Rendering of Heterogeneous Translucent Materials Using the Diffusion Equation

42. *(OC#MS1-3668US/MS#321953.01) Linear Laplacian Discrimination for Feature Extraction

43. (MS#323404.01) Multi-class Transform for Discriminant Subspace Analysis

44. (MS#323402.01) Globally Invariant Radom Feature Transforms for Texture Classification

45. (OC#418268497US /MS#324254.01) Learning-Based Partial Differential Equations for Computer Vision

46. *(MS#323405.01) Tensor Linear Laplacian Discrimination for Feature Extraction

47. *(MS#323406.01) Classification via Semi-Riemannian Spaces

48. *(MS#325359.01) Computing Minimal Polynomials of Radical Expressions

49. *(MS#325161.01) Computing Minimal Polynomials

50. *(MS#329259.01) Kernel Nystrom Method for Light Transport

51. (MS#333145.01) Rectification of Characters and Text as Transform Invariant Low-Rank Textures

Academic Activities:

1. Executive Editor of Big Data and Information Analytics (a new journal to be launched).

2. Associate Editor of International Journal of Computer Vision.

3. Associate Editor of Neurocomputing.

4. Chair Professor of Northeast Normal University.

5. Guest Professor of Shanghai Jiaotong University.

6. Guest Researcher of Institute of Computing Technologies, Chinese Academy of Sciences.

7. Guest Professor of Southeast University.

8. Guest Professor and Ph.D. Supervisor of Beijing Jiaotong University.

9. Technical Advisory Board of Key Lab. of Machine Vision and Pattern Recognition, Institute of Advanced Technology, Chinese Adacemy of Sciences, Shenzhen.

10. Reviewer to Journals:

IEEE Trans. Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Trans. Information Theory, Mathematical Reviews, IEEE Trans. Image Processing, IEEE Trans. Signal Processing, IEEE Trans. Neural Network, Optimization Letters, IEEE Trans. Circuits and Systems for Video Technology, Pattern Recognition, IEEE Trans. Multimedia, IEEE Trans. Information Forensics and Security, ACM Trans. on Graphics, Signal Processing, IEEE Signal Processing Magazine, IEEE Signal Processing Letters, SIAM J. Numerical Analysis, SIAM J. Imaging Sciences, Signal Processing Letters, The Visual Computer, Computer Vision and Image Understanding, Multimedia Systems Journal, Machine Vision and Applications, Photogrammetric Engineering and Remote Sensing, 中国科学(E) [Science in China (Series E)]

11. Reviewer to Conferences:

NIPS2014, ECCV2014, ICML2014, CVPR2014 (Area Chair), Siggraph Asia 2013, ICCV2013, IJCAI2013, ACCV 2012, Siggraph 2012, IEEE Computer Vision and Pattern Recognition 2012, Asian Conf. Machine Learning 2011, NIPS 2011, Int’l Conf. Computer Vision 2011, Eurographics 2011, IEEE Computer Vision and Pattern Recognition 2011, Asian Conf. Machine Learning 2010, IEEE Computer Vision and Pattern Recognition 2010, Asian Conf. Computer Vision 2009 (Area Chair), Int’l Conf. Computer Vision 2009,  IEEE Computer Vision and Pattern Recognition 2009, Asian Conf. Machine Learning 2009, European Conf. Computer Vision 2008, IEEE Computer Vision and Pattern Recognition 2008, Int’l Conf. Computer Vision 2007, IEEE Computer Vision and Pattern Recognition 2007, Asian Conf. Computer Vision 2007, Pacific Graphics 2006, Geometric Modeling and Processing 2006, IEEE Computer Vision and Pattern Recognition 2005, Visual Communications and Image Processing 2005, IEEE Computer Vision and Pattern Recognition 2004, Eurographics 2002, Asian Conf. Computer Vision 2002, Int’l Conf. Multimodal Interfaces 2002, Int’l Conf. Images and Graphics 2002, Int’l Conf. Computer Vision 2001, Pacific Graphics 2001

12. Membership: IEEE Senior Member, SIAM Member

Courses:

1. Fundamentals of Data Analysis (Class 1, Class 2, Class 3, Class4, Class 5, Class 6, Class 7, Class 8, Class 9, References)

2. Manifold Learning and Sparse Representation (Class 1, Class 2, Class 3, Class4, Class 5, Class 6, Class 7, Class 8, Class 9, Remaining Classes (subject to change), References)

Graduated Students:

1. Guangcan Liu, from Shanghai Jiaotong University, Ph.D. in 2010.

2. Minming Chen, from Institute of Computing Technologies, Chinease Academy of Sciences, Master in 2010. Thesis: Algorithms and Implementations of Matrix Reconstruction (in Chinese).

3. Risheng Liu, from Dalian University of Technology, Ph.D. in 2012.

Keynote Speeches:

1. Low Rank Representation: Theories, Algorithms, and Applications

At: Digital Image Computing: Techniques and Applications (DICTA2012)

Tutorials:

1. Rank Minimization: Theories, Algorithms, and Applications

At: Charles-Sturt University (July 25-26, 2013)

2. Low-Rank Matrix Recovery: Theories, Algorithms, and Applications

At: Int’l Conf. Image Processing (ICIP 2010), Int’l Conf. Imaging and Graphics (ICIG) 2011

3. Useful Mathematics for Machine Learning

At: Hong Kong Polytechnic University (Aug. 27, 18, and 31, 2012)

Invited Talks:

1.   Fundamental Limits of Reconstruction-Based Superresolution

At: Peking University, Institute of Remote Sensing Applications (Chinese Academy of Sciences)

2.   Applications of Mathematics in Computer Vision by Examples

At: Peking University, Tsinghua University, Nankai University, Dalian University of Technology, Huazhong University of Science and Technology, Beijing Jiaotong University

3.   Learning-Based Superresolution

At: Lotus Hill Institute for Computer Vision and Information Science, Institute of Automation (Chinese Academy of Sciences) (Oct. 27, 2008), Nanjing University (Nov. 8, 2008)

4.   Contextual Asymmetric Data Perception

At: Institute of Automation (Chinese Academy of Sciences), Institute of Computing Technologies (Chinese Academy of Sciences), Shanghai Jiaotong University, Beijing Jiaotong University, Southeast University, Sichuan University

5.   Doctored Image Detection

At: Beijing Jiaotong University, Shanghai Jiaotong University

6.   How to Write Good Papers [pdf]

At: Institute of Computing Technologies (Chinese Academy of Sciences) (Apr. 24, 2008), Southeast University (May 26, 2008), Nanjing University of Aeronautics and Astronautics (May 27, 2008), Peking University (Oct. 10, 2008)

7.   A Glance over Manifold Learning

At: Peking University (Oct. 9, 2008), Institute of Computing Technologies (Chinese Academy of Sciences, Oct. 28)

8.   A Geometric Method for Optimal Design of Color Filter Arrays

At: Peking University (Nov. 30, 2008), University of Science and Technology of China (Nov. 20, 2012)

9. Sparsity: the Current Surge

At: People’s University of China (Dec. 10, 2008)

10. Solving the Close-Class-Means Heteroscedastic Discriminant Analysis Problems via Bayes Error Estimation

 

At: ACCV 2009 Workshop on Computer Vision (July 9, 2009)

 

11. Robust PCA: Theories, Algorithms and Applications

 

At: Peking University (April 20, 2010)

 

12. Rank Minimization – A Way to 2D Sparsity

 

At: Institute of Computing Technologies (Chinese Academy of Sciences, Dec. 1, 2010), Northeast Normal University (Dec. 8, 2010), Fudan University (Dec. 15, 2010), Beijing University of Posts and Communications, Dec. 22, 2010), Dalian Univeristy of Technology (Sept. 26, 2011)

 

13. Advances and Problems in 2D and Higher Dimensional Sparsity

At: Peking University (June 8, 2011)

 

14. Rank Minimization: Theories, Algorithms, and Applications

 

At: Zhejiang University (Jul. 28, 2011), Nanjing University of Aeronautics and Astronautics (May 4, 2012), A-Star Singapore (Aug. 3, 2012), Hong Kong Polytechnic University (Aug. 29, 2012) , Sino-Foreign-Interchange Workshop on Intelligence Science and Intelligence Data Engineering (IScIDE2012), Machine Learning and Applications (MLA2012), University of Science and Technology of China (Nov. 19, 2012)

 

15. New Advances in Rank Minimization

 

At: Northeast Normal University (Sept. 19, 2011), Xi’an Jiaotong University (Sept. 22, 2011)

 

16. Computation Techniques in Nuclear Norm Minimization

 

At: Zhejiang University (Oct. 28, 2011)

 

17. Low Rank Representation: Theories, Algorithms, and Applications

 

At: PKU KLMP Annual Conference (March 24, 2012), Vision and Learning Seminar (VALSE2012), Nanjing Univ. of Information Science & Technology (May 3, 2012), Nanjing University of Science and Technology (May 3, 2012), Nanyang Technology University (Aug. 1, 2012), Workshop on Data Science and Information Industry (Nov. 18, 2012)

 

18. Fast Solving Transform Invariant Low-Rank Textures (TILT)

 

At: National University of Singapore (Aug.10, 2012), Hong Kong Baptist University (Aug. 21, 2012)

 

19. Learning Partial Differential Equations for Computer Vision and Image Processing

 

At: University of Science and Technology of China (Nov. 20, 2012), International Conf. Image Science (ICIS2012, Dec. 12, 2013), Tsinghua International Mathematics Forum (Jan. 6, 2013), Osaka University (Mar. 26, 2013), Charles-Sturt University (July 31, 2013), University of Technology Sydney (Aug. 7, 2013), Institute of Information Engineering, Chinese Academy of Sciences (Sept. 12, 2013)

 

20. A Gemoetric Method for Optimal Design of Color Filter Arrays

 

At: University of Science and Technology of China (Nov. 20, 2012)

 

21. Subspace Clustering - Recent Advances

 

At: Tsinghua University (Oct. 10, 2013), Institute of Automation, Chinese Academy of Sciences (Oct. 16, 2013), National University of Defense Technologies (Oct. 22, 2013), Hunan University (Oct. 23, 2013), Beijing Jiaotong University (Oct. 28, 2013), Shanghai Jiaotong University (Oct. 31, 2013), Beijing Institute of Technology (Nov. 6, 2013), Beijing University of Technology (Dec. 18, 2013),Tianjin University (Dec. 26, 2013), Workshop on Recent Trends in Computer Vision (Feb. 24, 2014)

 

22. Linearized alternating direction method: two blocks and multiple blocks

 

At: 2013 PKU Workshop on Optimization and Data Science (Dec. 22, 2013)


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