Cheng-Lin Liu (刘成林) PhD, Professor

    中国科学院自动化研究所 副所长

    中国科学院大学人工智能学院 副院长

    模式识别国家重点实验室 主 任

    Director, National Laboratory of Pattern Recognition (NLPR)

    Vice President, Institute of Automation of Chinese Academy of Sciences

    Vice Dean, School of Artificial Intelligence, University of Chinese Academy of Sciences

    95 Zhongguancun East Road, Beijing 100190, P.R. China

    Tel: +86-10-8254-4797, Fax: +86-10-8254-4594

    Email: liucl AT nlpr.ia.ac.cn

Biosketch     Projects     Activities     Awards     Publications     Slides    Links

 

Biosketch

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 International Journal on Document Analysis and Recognition, Cognitive Computation, IEEE/CAA Journal of Automatica Sinica, CAAI Trans. Intelligence Technology, CAAI Trans. Artificial Intelligence and Chinese Journal of Image and Graphics. He is a Vice President of Chinese Association of Artificial Intelligence (CAAI), the 2nd Vice President of International Association for Pattern Recognition (IAPR). He is a Fellow of the CAA, CAAI, IAPR and the IEEE.

 

Projects

Ongoing projects

  1. Theory and Methods for Big Visual Data Understanding, NSFC Innovation Group Fund (61721004), 2018-2023.
  2. Adaptive Perception for Open World, Major Project for New Generation of AI (2018AAA0100400), 2019-2023.
  3. Automatic Cleaning and Feature Learning for Low-Quality Data, NSFC (U20A20223), 2021-2024.

 

Activities

Editorial Board

Pattern Recognition Journal, Associate Editor-in-Chief (2017--)

Int. J. on Document Analysis and Recognition, Associate Editor (2011--)

Cognitive Computation, Associate Editor (2015--)

Acta Automatica Sinica, Associate Editor-in-Chief (2015--)

IEEE/CAA Journal of Automatica Sinica, Associate Editor (2014--)

CAAI Trans. Intelligence Technology, Associate Editor (2017--)

Chinese Journal of Image and Gaphics, Area Editor (2020--)

Book Series Editor, Series in Machine Perception and Artificial Intelligence, World Scientific, from April 2019.

 

Conference Chairs

Program Co-Chair, 2008 Chinese Conference on Pattern Recognition (CCPR), Beijing, China

Program Co-Chair, First CJK Joint Workshop on Pattern Recognition (CJKPR), Nanjing, China, 2009

General Co-Chair, Second CJK Joint Workshop on Pattern Recognition (CJKPR), Fukuoka, Japan, 2009

Publicity Co-Chair, 11th Int. Conf. on Frontiers of Handwriting Recognition (ICFHR), Kolkata, India, 2010

Executive Chair, 11th Int. Conf. on Document Analysis and Recognition (ICDAR), Beijing, China, 2011

Organizing Chair, First Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011

General Chair, 2012 Chinese Conference on Pattern Recognition (CCPR), Beijing, China

Program Co-Chair, Second Asian Conference on Pattern Recognition (ACPR), Okinawa, 2013

Program Chair, 2014 Chinese Conference on Pattern Recognition (CCPR), Changsha, China

General Chair, 10th IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition (GbR2015), Beijing, China, May 13-15, 2015

General Co-Chair, 3rd Asian Conference on Pattern Recognition (ACPR 2015), Kuala Lumpur, Malaysia, November 3-6, 2015

Tutorial Chair, 12th IAPR International Workshop on Document Analysis Systems (DAS2016), Santorini, April 11-14, 2016

General Chair, 15th International Conference on Frontiers in Handwriting Recognition (ICFHR2016), Shenzhen, China, October 23-26, 2016

General Chair, 8th International Conference on Brain-Inspired Cognitive Systems (BICS 2016), Beijing, China, November 28-30, 2016

General Co-Chair, 11th IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition (GbR2017), Anacapri, Italy, May 16-18, 2017

General Chair, 4th Asian Conference on Pattern Recognition (ACPR 2017), Nanjing, November 26-29, 2017

Publicity Chair, 14th Int. Conf. on Document Analysis and Recognition (ICDAR 2017), Kyoto, Japan, 2017

Tutorial Chair, 13th IAPR Int. Workshop on Document Analysis Systems (DAS 2018), Vienna, April 24-27, 2018

General Chair, International Conference on Computing and Pattern Recognition (ICCPR 2018), Shenzhen, June 23-25, 2018

Program Chair, 24th Int. Conf. on Pattern Recognition (ICPR 2018), Beijing, August 20-24, 2018

Program Co-Chair, 10th International Conference on Brain Inspired Cognitive Systems (BICS 2019), Guangzhou, China, July 13-14, 2019

Program Chair, 15th Int. Conf. on Document Analysis and Recognition (ICDAR 2019), Sydney, Australia, Sep. 20-25, 2019

General Chair, 15th International Workshop on Document Analysis Systems (DAS 2020), Wuhan, virtually, July 26-29, 2020

Program Co-Chair, 17th International Workshop on Frontiers of Handwriting Recognition (ICFHR 2020), Dortmund, Germany, virtually, Sep. 7-10, 2020

Program Co-Chair, Asian Conference on Computer Vision (ACCV 2020), Kyoto, online, Nov. 30-Dec. 4, 2020

General Co-Chair, Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2020), Nanjing, Oct. 16-18, 2020

General Co-Chair, ACPR 2021, Jeju Island, Korea

General Co-Chair, ICPR 2022, Montreal, Canada

 

Awards

  1. Excellent Dissertation Award, Chinese Academy of Sciences, 1995
  2. Third-level Technical Award, Hitachi, Ltd., 2000
  3. First-level Technical Award, Hitachi, Ltd., 2001
  4. IAPR/ICDAR Young Investigator Award, Seoul, Korea, 2005
  5. Top Reviewer 2009, Image and Vision Computing Journal, Elsevier
  6. Top Review 2008-2012, Pattern Recognition Letters, Elsevier
  7. Best Poster Award, Da-Han Wang, Cheng-Lin Liu, Dynamic Text Line Segmentation for Real-Time Recognition of Chinese Handwritten sentences, 11th ICDAR, Beijing, China, 2011.
  8. ICDAR2013 Competition on Historical Newspaper Layout Analysis (HNLA2013), First Place, Kai Chen, Fei Yin, Cheng-Lin Liu
  9. ICDAR2013 Competition on Historical Book Recognition (HCR2013) Task: Layout Analysis, First Place, Kai Chen, Fei Yin, Cheng-Lin Liu
  10. ICFHR 2014 Competition on Handwritten Digit String Recognition in Challenging Datasets, First Place, Yi-Chao Wu, Fei Yin, Chang Zhong, Cheng-Lin Liu.
  11. ICFHR2014 Best Poster Award, Yichao Wu, Fei Yin, Cheng-Lin Liu, Evaluation of geometric context models for handwritten numeral string recognition.
  12. CCIG Excellent Paper Award, Guoshuai Liu, Weifeng Zhong, Fei Yin, Cheng-Lin Liu, Fast classification of natural scene and born-digital images, 2014.
  13. CAS ZhuLiYueHua Excellent Teacher Award, 2016
  14. ICDAR2017 Competition on Page Object Detection. Winner of Task-D, Page Object Detection, Xiaohui Li, Wei Feng, Fei Yin, Chenglin Liu
  15. ICDAR2017 Competition on Page Object Detection. Winner of Task-C, Figure Detection, Xiaohui Li, Wei Feng, Fei Yin, Chenglin Liu
  16. ICDAR2017 Competition on Page Object Detection. Winner of Task-B, Table Detection, Xiaohui Li, Wei Feng, Fei Yin, Chenglin Liu
  17. ICDAR2017 Competition on Page Object Detection. Winner of Task-A, Formula Detection, Xiaohui Li, Wei Feng, Fei Yin, Chenglin Liu
  18. ICDAR2017 Competition on Reading Chinese Text in the wild. Winner of Task-2, End-to-End Recognition, Wenhao He, Fei Yin, Cheng-Lin Liu
  19. ICDAR2019 Competition on Historical Book Analysis - HBA2019, Challenge 1: Text/graphic separation, Winning Team: Xiao-Hui Li, Fei Yin, Cheng-Lin Liu
  20. ICDAR2019 Competition on Historical Book Analysis - HBA2019, Challenge 2: Font discrimination, Winning Team: Xiao-Hui Li, Fei Yin, Cheng-Lin Liu
  21. MICCAI 2019 Multimodal Brain Tumor Segmentation (BraTS) Challenge, Segmentation Task, 2nd Place, Yuan-Xing Zhao, Yanming Zhang, Cheng-Lin Liu
  22. DAS 2020 Best Student Paper Award. Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Dewarping document image by displacement flow estimation with fully convolutional network
  23. ICPR 2020 Best Scientific Paper Award. Meng-Biao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Mutually guided dual-task network for scene text detection
  24. National Natural Science Award Second Class, Theory and Methods for the Learning and Understanding of Visual Motion Patterns, Weiming Hu, Chenglin Liu, Bing Li, Xiaoqin Zhang, Heng Wang
  25. ACPR 2021 Best Student Paper Award, Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu, CASIA-onDo: A new database for online handwritten document analysis

 

 

Publications

Google Scholar

List of Publications

 

 

Slides

·        怎样做科研和写学术论文，CCPR2014模式识别讲习班，2014.11.15-16，长沙

·        文档图像识别：应用驱动的研究问题，第七届全国文字与计算学术研讨会，杭州，2017年12月16-17日

·        Deep Prototype Learning for Robust Pattern Recognition, 3rd International Symposium on Artificial Intelligence and Robotics (ISAIR), Nanjing, November 18-19, 2018

·        New Frontiers of Document Image Analysis and Recognition, 2nd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2020), Oct. 19-23, 2020.

 

Links

Pattern Analysis and Learning (PAL) Team, NLPR, CASIA

 

Updated 2022.09.17