Prof. Cheng-Lin Liu
Institute of Automation of Chinese Academy of Sciences, China
Biography: Cheng-Lin Liu received 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 director of the laboratory.
His research interests include pattern recognition, image processing, neural networks, machine learning, and especially the applications to character recognition and document analysis. He has contributed many effective methods to different aspects of handwritten document analysis, including image pre-processing, page segmentation, feature extraction, classifier design, and character string recognition. His algorithms have yielded superior performance, and have been transferred to industrial applications including mail sorting, form processing and Web document retrieval. He has published over 300 technical papers in journals and conferences, including IEEE T-PAMI, IJCV, Pattern Recognition, IEEE T-NNLS, IEEE T-IP, ICPR, ICDAR, CVPR, ICDM, AAAI and IJCAI. He won the IAPR/ICDAR Young Investigator Award of 2005, and received the Outstanding Youth Fund of NSFC in 2008. He is an associate Editor-in-Chief of Pattern Recognition Journal and Acta Automatica Sinica, an associate editor of Image and Vision Computing, International Journal on Document Analysis and Recognition, Cognitive Computation, IEEE/CAA Journal of Automatica Sinica, and CAAI Trans. Intelligence Technology. He is a Fellow of the CAAI, IAPR and the IEEE.