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Welcome to Zhouchen Lin's Homepage!

Dr. Zhouchen Lin is a RESEARCHER in the Visual Computing Group, Microsoft Research Asia.

Curriculum Vitae:

Sept. 2004 - present:

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, Computer Graphics, Pattern Recognition, Document Processing/Analysis

Current Research Topics:

1.   Sparse Representation for Computer Vision and Related Convex Optimization

Sparsity is ubiquitous. Most high-dimensional data only occupy a tiny portion of their ambient Euclidean space. Sparsity often brings the advantage of high noise/outlier resistance. How to utilize the sparsity effectively, particularly for machine learning and pattern recognition in computer vision, is still not well explored. As sparsity is often depicted by the L1 norm, resulting in non-smooth and non-linear optimization problems, we are also faced with computational difficulties. We are pushing more applications of sparse representation in computer vision and also solving the related optimization problems that we encounter.

 

2.   GPGPU-Based Parallel Computing

To solve problems with intense computation, distributed and parallel computing are the only choices. Thanks to the standardization and stabilization of programming languages for general purpose graphics processing unit (GPGPU), GPGPU based parallel computing has become an accessible and powerful tool for general purpose computing, especially numerical computing. We are using GPGPU to help solve the optimization problems that we encounter. We also investigate how to adapt the state-of-the-art numerical algorithms to GPGPU, by considering the architecture of GPGPU.

 

3.   Theories and Applications of Discriminant Analysis and Manifold Learning

Multi-class classification is a long-existing yet much less studied problem in discriminant analysis. Different from the traditional way of reducing the problem to multiple two-class classification, we develop algorithms that work for multi-class problems directly. They are derived by minimizing the multi-class Bayesian error bounds, hence are more solid in theory. For manifold learning, we are also introducing more advanced geometric concepts, e.g., semi-Riemannian geometry and vector bundle, to help unify the existing methods and also propose more effective feature extraction algorithms.

Book Chapters:

1. Liang Wan and Zhouchen Lin, Signature Sample Synthesis, to appear in Encyclopedia of Biometrics (Stan Z. Li (Ed.)), Springer, May 2009.

2. Zhouchen Lin, Learning-Based Image Superresolution Algorithms, to appear in Machine Learning and Applications 2009 (Z. Zhou and J. Wang (Ed.)), Tsinghua University Press, July 2009.

Journal Papers:

39. Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Demosaicking via Partial Differential Equations: A Learning-Based Design, to be submitted to SIAM Journal on Imaging Science.

 

38. Moshe Ben-Ezra, Zhouchen Lin, and Wei Zhang, On the Computational Relation of the Retinal Mosaic to the Eye Movements and Visual Acuity, to be submitted to Nature.

 

37. Risheng Liu, Zhouchen Lin, and Zhixun Su, Vector Bundle Learning: A General Framework for Feature Extraction, submitted to Neurocomputing.

 

36. Wenming Zheng and Zhouchen Lin, Solving the Close Class Means Heteroscedastic Discriminant Analysis Problems via Bayes Error Estimation, submitted to Journal of Machine Learning Research.

 

35. Wenming Zheng and Zhouchen Lin, Multiclass Common Local Temporal-Spatial Patterns for EEG Feature Extraction, submitted to Transactions on Biomedical Engineering.

 

34. Guangcan Liu, Zhouchen Lin, Yi Ma, and Yong Yu, Data Classification by Associative Reconstruction, submitted to IEEE Trans. Pattern Analysis and Machine Intelligence.

 

33. Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Learning Semi-Riemannian Metrics for Semi-Supervised Feature Extraction, submitted to IEEE Trans. Knowledge Discovery and Engineering.

 

32. Jingjing Fu, Feng Wu, Zhouchen Lin, and Bing Zeng, Rate-Distortion Performance of Compressive Sensing for Binary Sparse Sources, submitted to IEEE Trans. Information Theory.

 

31. Guangcan Liu, Zhouchen Lin, and Yong Yu, Learning Semi-Riemannian Manifolds for Unsupervised Dimensionality Reduction, submitted to IEEE Trans. Neural Networks.

 

30. Sijun Liu, Xu Yang, and Zhouchen Lin, An Algorithm for Computing the Minimal Polynomials of Radical Expressions, submitted to Journal of Symbolic Computation.

 

29. Wenming Zheng, Zhouchen Lin, and Xiaoou Tang, Multiclass Fukunaga-Koontz Transform for Discriminant Subspace Analysis, submitted to IEEE Transactions on Systems, Man and Cybernetics, Part B.

 

28. Wenming Zheng, and Zhouchen Lin, A Rank-One Update Algorithm for Fast Solving Kernel Foley-Sammon Optimal Discriminant Vectors, submitted to IEEE Trans. Neural Networks.

 

27. Pengwei Hao, Yan Li, Zhouchen Lin, and E. Dubois, A Geometric Method for Optimal Design of Color Filter Arrays, submitted to IEEE Trans. Image Processing.

 

26. Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, Unsupervised Classification with a Hybrid Graph Model, submitted to Pattern Recognition.

 

25. Jiaping Wang, Yue Dong, Xin Tong, Zhouchen Lin, and Baining Guo, Kernel Nyström Method for Light Transport, accepted by Siggraph 2009.

 

24. Guangcan Liu, Zhouchen Lin, and Yong Yu, Multi-Output Regression on the Output Manifold, accepted by Pattern Recognition, available at http://dx.doi.org/10.1016/j.patcog.2009.05.001.

 

23. Guangcan Liu, Zhouchen Lin, Xiaoou Tang, and Yong Yu, Unsupervised Object Segmentation with a Hybrid Graph Model, accepted by IEEE Trans. Pattern Analysis and Machine Intelligence.

 

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.

 

21. Wei Zhang, Zhouchen Lin, and Xiaoou Tang, Tensor Linear Laplacian Discrimination (TLLD) for Feature Extraction, Pattern Recognition, Vol. 42, No. 9, September 2009, pp. 1941-1948, available at http://dx.doi.org/10.1016/j.patcog.2009.01.010.

 

20. John Wright, Yangyu Tao, Zhouchen Lin, Yi Ma, and Heung-Yeung Shum, Classification via Minimal Incremental Coding Length, accepted by SIAM Journal on Imaging Science.

 

19. Zhouchen Lin, Junfeng He, Xiaoou Tang, and Chi-Keung Tang, Fast, Automatic and Fine-Grained Tampered JPEG Images Detection via DCT Coefficient Analysis, accepted by Pattern Recognition, available at http://dx.doi.org/10.1016/j.patcog.2009.03.019.

 

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, available at http://dx.doi.org/10.1007/s11263-008-0148-2.

 

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.

 

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.

 

14. Zhouchen Lin and Liang Wan, Style-Preserving Handwriting Synthesis, Pattern Recognition, Vol. 40, No. 73, pp. 2097-2109, 2007.

 

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.

 

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

 

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.

 

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

 

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.

 

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.

 

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.

 

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, 2002.

 

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, (An 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:

30. Who, Zhouchen Lin, Who, and Who, Blah Blah Blah Blah Blah Blah Blah Blah, submitted to NIPS 2009.

 

29. Who, Zhouchen Lin, Who, and Who, Blah Blah Blah Blah Blah Blah Blah Blah, submitted to NIPS 2009.

 

28. Who, Zhouchen Lin, and Who, Blah Blah Blah Blah Blah Blah Blah Blah, submitted to ACCV 2009.

 

27. Who, Zhouchen Lin, and Who, Blah Blah Blah Blah Blah Blah Blah Blah, submitted to ACCV 2009.

 

26. Who, Who, Zhouchen Lin, and Who, Blah Blah Blah Blah Blah Blah Blah Blah, submitted to ITW 2009.

 

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

 

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.

 

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

 

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.

 

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

 

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

 

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

 

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

 

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

 

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).

 

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

 

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

 

13. Junfeng He, Zhouchen Lin, Lifeng Wang, and Xiaoou Tang, Detecting Doctored JPEG Images via DCT Coefficient Analysis, 9th European Conf. on Computer Vision, Vol. 3953, pp. 423-435, 2006, available at: http://dx.doi.org/10.1007/11744078_33.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

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.

 

3. Zhouchen Lin, Tsai-Man Shih, Constrained Optimal Control 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.

International/US Patents:

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#003797.01169/MS#310608.01) Spatial Transforms from Displayed Codes

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

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

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

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

20. (OC#312934.01/MS#418268220US) Cleaning up Handwriting

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

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

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

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

25. (OC#003797.01712/MS#314960.01) Signature Verification

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

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

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

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

30. (OC#MS1-3026US/MS#315780.01) Perceptual Image Preview

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

47. (MS#325161.01) Computing Minimal Polynomials

Academic Activities:

1. Guest Professor to Shanghai Jiaotong University.

2. Guest Researcher to Institute of Computing Technologies, Chinese Academy of Sciences.

3. Guest Professor to Southeast University.

4. Guest Professor and Ph.D. Supervisor to Beijing Jiaotong University.

5. Consultant to: Peking University-Microsoft Joint Lab of Statistics and Information Technology, Shanghai Jiaotong University-Microsoft Joint Lab of Intelligent Computing and Intelligent Systems

6. Reviewer to Journals:

IEEE Trans. Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, IEEE Trans. Image Processing, IEEE Trans. Signal Processing, IEEE Trans. Circuits and Systems for Video Technology, IEEE Trans. Multimedia, ACM Trans. on Graphics, Signal Processing, Signal Processing Letters, 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)]

7. Reviewer to Conferences:

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

8. Membership: IEEE Senior Member, ACM Member

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

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)

9: Sparsity: the Current Surge

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

This website was last updated on June 11, 2009.