Welcome to Zhouchen Lin's Homepage!
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(Taken in 2000) |
(Taken in 2009) |
Dr. Zhouchen
Lin is a Professor in Department of Intelligence Sciences, School of
Electronics Engineering and Computer Science, Peking University.
I am now recruiting
Masters and Ph.D.s (domestic or overseas) 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!
I also welcome second and third year undergraduates in China to come to my lab for practice. Those selected may have chance to go to Prof. Xiaoou Tang's Media Laboratory at Chinese University of Hong Kong for visiting!
Nothing is more practical than a good theory. ---- V. Vapnik |
Latest News:
1. As the publicity chair, I warmly welcome you to submit to IScIDE2013 (http://iscide.ustb.edu.cn/2013/). IScIDE2013 now has the Turing Award Winner Prof. Andrew Yao as the keynote speaker. Its paper deadline is May 20th, 2013. Selected papers will be recommended to the following SCI journals:
2. I was invited to the editorial board of International Journal of Computer Vision (the first among domestic Chinese scholars).
3. A coauthored paper, Linearized Alternating Direction Method with Adaptive Penalty and Warm Starts for Fast Solving Transform Invariant Low-Rank Textures, was accepted by International J. Computer Vision.
4. A coauthored paper, Robust Recovery of Subspace Structures by Low-Rank Representation, appeared on IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 35, no. 1, pp. 171-184, 2013.
Curriculum Vitae:
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Mar. 2012 – present: |
Professor |
Peking University |
Image Processing, Pattern
Recognition, Machine Learning, Optimization |
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Mar. 2010 – Feb. 2012: |
Lead Researcher |
Visual Computing Group, Microsoft
Research, Asia |
Image Processing, Pattern
Recognition, Machine Learning, Optimization |
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Sept. 2004 – Feb. 2010: |
Researcher |
Visual Computing Group, Microsoft
Research, Asia |
Image Processing, Computer Vision,
Computer Graphics, Pattern Recognition, Machine Learning |
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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 |
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July 2000 - March 2002: |
Associate Researcher |
Visual Computing Group, Microsoft Research, China |
Computer Vision and Computer Graphics |
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April 1999 - Dec. 1999: |
Intern |
Visual Computing Group, Microsoft Research, China |
Computer Vision and Computer Graphics |
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Sept. 1997 - July 2000: |
Doctoral Candidate |
Dept. of Mathematics, Peking University |
Image Processing, Computer Vision, Pattern Recognition |
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Sept. 1995 - Aug. 1997: |
Master Candidate |
Dept. of Applied Mathematics, Hong Kong Polytechnic University |
Numerical Computation/Simulation |
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Sept. 1993 - Aug. 1995: |
Master Candidate |
Dept. of Mathematics, Peking University |
Image Processing, Image Database |
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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]
Journal Papers:
46. Jinshan Pan, Risheng Liu, Zhixun Su, and Zhouchen Lin, Robust Kernel Estimation for Blind Deblurring with Severe Outliers, submitted to IEEE Trans. Image Processing.
45.
Mingyu Fan, Xiaoqin Zhang, Zhouchen Lin, Zhongfei Zhang, Hujun Bao, Geodesic Based Semi-supervised Multi-manifold Discriminant Analysis for Image Classification, submitted to IEEE Trans. Image Processing, major revision.
44.
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.
43. 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.
42. Risheng Liu, Zhouchen Lin, and Zhixun Su, Learning Markov Random Walks for Robust Subspace Clustering and Enstimation, submitted to IEEE Trans. System, Man and Cybernetics, Part B.
41. Wenming Zheng and Zhouchen Lin, Mixture of Absolute Generalized Rayleigh Quotients: A Criterion via Bayes Error Estimation for Feature Extraction, submitted to IEEE Trans. Neural Networks and Learning Systems.
40. Risheng Liu, Zhouchen Lin, and Zhixun Su, Solving Principal Component Pursuit in Linear Time via l1 Filtering, submitted to Int’l J. Computer Vision (arXiv: 1108.5359), major revision.
39. Qin Lv, Zhouchen Lin, Yiyuan She, and Chao Zhang, A Comparison of Typical lp Minimization Algorithms, accepted by Neurocomputing. [pdf]
38. Chunguang Li, Zhouchen Lin, and Jun Guo, Bases Sorting: Generalizing the Concept of Frequency for Over-complete Dictionaries, accepted by Neurocomputing. [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, accepted by International J. Computer Vision. [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.
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.
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.
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:
45. Hongyang Zhang, Zhouchen Lin, and Chao Zhang, A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank, submitted to ECML2013, arXiv: 1304.6233.
44. Who, Who, Who, and Zhouchen Lin, Blah, Blah, Blah, Submitted to ICCV2013.
43. Who, Zhouchen Lin, Who, and Who, Blah, Blah, Blah, Submitted to ICCV2013.
42. Who, Zhouchen Lin, and Who, Blah, Blah, Blah, Submitted to ICCV2013.
41. Who, Who, Zhouchen Lin, Who, and Who, Blah, Blah, Blah, Submitted to ICCV2013.
40. Xin Zhang, Zhouchen Lin, Fuchun Sun, and Yi Ma, Rectification of Optical Characters as Transform Invariant Low-rank Textures, accepted by ICDAR2013.
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. [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 Casting，Proceedings 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 Slabs，Workshop 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.
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]
10. Zhouchen Lin, Some Software Packages for Partial SVD
Computation, arXiv: 1108.1548.
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
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. Associate Editor of International Journal of Computer Vision.
2. Associate
Editor of Neurocomputing.
3. Chair
Professor of Northeast Normal University.
4. Guest
Professor of Shanghai Jiaotong University.
5. Guest
Researcher of Institute of Computing Technologies, Chinese Academy of Sciences.
6. Guest
Professor of Southeast University.
7. Guest
Professor and Ph.D. Supervisor of Beijing Jiaotong University.
8. Technical Advisory Board of Key Lab. of Machine Vision and Pattern Recognition, Institute of Advanced Technology, Chinese Adacemy of Sciences, Shenzhen.
9. 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辑) [Science in China
(Series E)]
10. Reviewer to
Conferences:
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
11. Membership:
IEEE Senior Member, SIAM Member
Courses:
1. Fundamentals of Data Analysis (Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 8, Lecture 9, Lecture 10, Lecture 11)
2. Manifold Learning and Sparse Representation (Lecture 1, Lecture 2, Lecture 3, Lecture 4, Lecture 5, Lecture 6, Lecture 7, Lecture 8, Lecture 9, Lecture 10, Lecture 11, 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. Low-Rank
Matrix Recovery: Theories, Algorithms, and Applications
At: Int’l Conf.
Image Processing (ICIP 2010), Int’l Conf. Imaging and Graphics (ICIG) 2011
2. 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)
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)
20. A Gemoetric Method for Optimal Design of Color Filter Arrays
At: University of Science and Technology of China (Nov. 20, 2012)
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