Scientists

Full Name

Cheng-Lin Liu

Gender

Male

Position

Deputy Director

Professional Title

Professor

Contacts

Email:liucl@nlpr.ia.ac.cn

Phone: +86-10-82544797

R&D Scopes

Pattern recognition, image processing, machine learning, handwriting recognition, document analysis

Personal Homepage

http://www.nlpr.ia.ac.cn/liucl/

Resume

Cheng-Lin Liureceived the B.S. degree in electronic engineering from Wuhan University, Wuhan, China, the M.E. degree in electronic engineering from Beijing Polytechnic University (currently Beijing University of Technology), Beijing, China, the Ph.D. degree in pattern recognition and intelligent control from the Institute of Automation of Chinese Academy of Sciences, Beijing, China, in 1989, 1992 and 1995, respectively. He was a postdoctoral fellow at Korea Advanced Institute of Science and Technology (KAIST) and later at Tokyo University of Agriculture and Technology from March 1996 to March 1999. From 1999 to 2004, he was a research staff member and later a senior researcher at the Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan. From 2005, he has been a Professor at the National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, Beijing, China, and is now the deputy director of the laboratory.

Professional Activities

l        IAPR Fellow (2012--)

l        Pattern Recognition Journal, Editorial Board Member (2010--)

l        Image and Vision Computing, Editorial Board Member (2008--)

l        Int. J. on Document Analysis and Recognition, Editorial Board Member (2011--)

l        Acta Automatica Sinica, Editorial Board Member (2011--)

Academic Achievements

He has contributed many effective methods to different aspects of handwritten document analysis, including image pre-processing, feature extraction, classifier design, and character string recognition. His algorithms have yielded superior performance, and have been transferred to industrial applications including mail sorting and form processing. He has published over 170 technical papers at prestigious international journals and conferences, including IEEE TPAMI, Pattern Recognition, IEEE TNN, ICPR, ICDAR, CVPR, AAAI and IJCAI. He won the IAPR/ICDAR Young Investigator Award of 2005, and received the Outstanding Youth Fund of NSFC in 2008.

l  Selected Publications

1.         Mohamed Cheriet, Nawwaf Kharma, Cheng-Lin Liu, Ching Y. Suen,Character Recognition Systems: A Guide for Students and Practitioners, John Wiley & Sons, 2007.

2.         Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa, Lexicon-driven segmentation and recognition of handwritten character strings for Japanese address reading,IEEE Trans. Pattern Analysis and Machine Intelligence, 24(11): 1425-1437, 2002.

3.         Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit recognition: Benchmarking of state-of-the-art techniques,Pattern Recognition, 36(10): 2271-2285, 2003.

4.         Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit recognition: Investigation of normalization and feature extraction techniques,Pattern Recognition, 37(2): 265-279, 2004.

5.         Cheng-Lin Liu, Stefan Jaeger, Masaki Nakagawa, Online handwritten Chinese character recognition: The state of the art,IEEE Trans. Pattern Analysis and Machine Intelligence, 26(2): 198-213, 2004.

6.         Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Discriminative learning quadratic discriminant function for handwriting recognition,IEEE Trans. Neural Networks, 15(2): 430-444, 2004.

7.         Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Effects of classifier structures and training regimes on integrated segmentation and recognition of handwritten numeral strings,IEEE Trans. Pattern Analysis and Machine Intelligence, 26(11): 1395-1407, 2004.

8.         Cheng-Lin Liu, Classifier combination based on confidence transformation,Pattern Recognition, 38(1): 11-28, 2005.

9.         Cheng-Lin Liu, Katsumi Marukawa, Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition,Pattern Recognition, 38(12): 2242-2255, 2005.

10.     Cheng-Lin Liu, Normalization-cooperated gradient feature extraction for handwritten character recognition,IEEE Trans. Pattern Analysis and Machine Intelligence, 29(8): 1465-1469, 2007.

11.     Tian-Fu Gao, Cheng-Lin Liu, High accuracy handwritten Chinese character recognition using LDA-based compound distances,Pattern Recognition, 42(11): 3442-3451, 2008.

12.     Fei Yin, Cheng-Lin Liu, Handwritten Chinese text line segmentation by clustering with distance metric learning,Pattern Recognition, 42(12): 3146-3157, 2009.

13.     Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu, A robust approach to detect and localize texts in natural scene images,IEEE Trans. Image Processing, 20(3): 800-813, 2011.

14.     Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Handwritten Chinese text recognition by integrating multiple contexts,IEEE Trans. Pattern Analysis and Machine Intelligence, 34(8): 1469-1481, 2012.

15.     Da-Han Wang, Cheng-Lin Liu, Xiang-Dong Zhou, An approach for real-time recognition of online Chinese handwritten sentences,Pattern Recognition, 45(10): 3661-3675, 2012.

16.     Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang,Online and offline handwritten Chinese character recognition: Benchmarking on new databases,Pattern Recognition, 46(1): 155-162, 2013.

17.     Xu-Yao Zhang, Cheng-Lin Liu, Writer adaptation with style transfer mapping,IEEE Trans. Pattern Analysis and Machine Intelligence, 35(7): 1773-1787, 2013.

18.     Heng Wang, Alex Klaeser, Cordelia Schmid, Cheng-Lin Liu,Dense trajectories and motion boundary descriptors for action recognition,Int. J. Computer Vision, 103: 60-79, 2013.

19.     Peipei Yang, Kaizhu Huang, Cheng-Lin Liu, Geometry preserving multi-task metric learning,Machine Learning, 92(1): 133–175, 2013.

20.     Xiang-Dong Zhou, Da-Han Wang, Feng Tian, Cheng-Lin Liu, Masaki Nakagawa,Handwritten Chinese/Japanese Text recognition using semi-Markov conditional random fields,IEEE Trans. Pattern Analysis and Machine Intelligence, 2013, accepted.

Current Research

Ongoing Projects

1.        Visual Perception and Semantic Computing, Strategic Priority Research Program of the CAS (Grant XDA06030300), 2012-2016, PI.

2.        Sensory Data Computing and Understanding in Physical Space, National Basic Research Program of China (973 Program) Grant 2012CB316302, Jan. 2012-August 2016, PI.

3.        Recognition and Retrieval of Naturally Written Offline Chinese Handwritten Documents, Key Project of NSFC (60933010), Jan. 2010—Dec. 2013, PI.