Home Page of Cheng-Lin Liu

List of Publications

Books    Int'l Journals    Int'l Confs    Domestic Journals    Domestic Confs

Books

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

 

Edited Books

1.         Cheng-Lin Liu, Changshui Zhang, Liang Wang (Eds.), Pattern Recognition: CCPR 2012, Springer, CCIS Vol. 321, 2012.

2.         Shutao Li, Chenglin Liu, Yaonan Wang (Eds.), Pattern Recognition: CCPR 2014, Changsha, China, Springer, CCIS Vol. 483 and 484, 2014.

3.         Cheng-Lin Liu, Bin Luo, Walter Kropatsch, Jian Cheng (Eds.), Graph-Based Representations in Pattern Recognition, GbR 2015, Beijing, China, LNCS Vol.9069, Springer, 2015.

4.         Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang, Advances in Brain Inspired Cognitive Systems, BICS 2016, Beijing, China, November 28-30, 2016, LNCS Vol.10023, ISBN 978-3-319-49684-9, 2016.

5.         Cheng-Lin Liu, Yue Lu, Advances in Chinese Document and Text Processing, Series on Language Processing, Pattern Recognition, and Intelligent Systems, World Scientific, ISBN 978-981-3143-67-8, 2017. http://www.worldscientific.com/worldscibooks/10.1142/10134

 

Special Issue Editors

1.         Hiromichi Fujisawa, Jin H. Kim, Cheng-Lin Liu (Eds.), Special Issue on Oriental Character Recognition, Int. J. Computer Processing of Oriental Languages, 15(2), 2002.

2.         Sebastiano Impedovo, Cheng-Lin Liu, Donato Impedovo, Giusepppe Pirlo (Eds.), Special Issue on Handwriting recognition and other PR applications, Pattern Recognition, 47(3): 915, 2014.

3.         Cheng-Lin Liu, Brian Lovell, Dacheng Tao, Massimo Tistarelli (Eds.), Special Issue on Pattern Recognition, IEEE Intelligent Systems, Part 1, 31(2): 6-8, 2016; Part 2, 32(3), 2016.

4.         Cheng-Lin Liu, Bin Luo, Walter Kropatsch, Special Issue on Graph-based Pattern Recognition, Pattern Recognition Letters, 2017.

 

Book Chapters

1.        Cheng-Lin Liu, Ying-Jian Liu, Ru-Wei Dai, Preprocessing and statistical/structural feature extraction for handwritten numeral recognition, in Progress of Handwriting Recognition, A.C. Downton and S. Impedovo (Eds.), World Scientific, 1997, pp.161-168.

2.        Cheng-Lin Liu, Masaki Nakagawa, A probabilistic model for candidate selection in recognition of large character set, in Advances in Handwriting Recognition, S.-W. Lee (Ed.), World Scientific, 1999, pp.277-286.

3.        Cheng-Lin Liu, Hiromichi Fujisawa, Classification and learning in character recognition: Advances and remaining problems, In: Machine Learning in Document Analysis and Recognition, S. Marinai and Hiromichi Fujisawa (Eds.), Springer, 2008, pp.139-161.

4.        Cheng-Lin Liu, Handwritten Chinese character recognition: Effects of shape normalization and feature extraction, In: Arabic and Chinese Handwriting Recognition, Stefan Jaeger and D. Doermann (Eds.), LNCS Vol.4768, Springer, 2008, pp.104-128.

5.        Cheng-Lin Liu, Long-Long Ma, Radical-based hybrid statistical-structural approach for online handwritten Chinese character recognition, Pattern Recognition, Machine Intelligence and Biometrics, P.S.P. Wang (Ed.), Springer, ISBN 978-7-04-033139-4, 2011, Chapter 24, pp. 633-655.

6.        An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen, Insect recognition using sparse coding and decision fusion, In: Computer Vision and Pattern Recognition in Environmental Informatics, Jun Zhou, Xiao Bai and Terry Caelli (Eds.), IGI Global, 2015.

 

International Journals

1.         Cheng-Lin Liu, Jin H. Kim, Ru-Wei Dai, Multiresolution locally expanded HONN for handwritten numeral recognition, Pattern Recognition Letters, 18(10): 1019-1025, 1997.

2.         Cheng-Lin Liu, Masaki Nakagawa, Precise candidate selection for large character set recognition by confidence evaluation, IEEE Trans. Pattern Analysis and Machine Intelligence, 22(6): 636-642, 2000.

3.         Cheng-Lin Liu, Masaki Nakagawa, Evaluation of prototype learning algorithms for nearest neighbor classifier in application to handwritten character recognition, Pattern Recognition, 34(3): 601-615, 2001.

4.         Cheng-Lin Liu, In-Jung Kim, Jin H. Kim, Model-based stroke extraction and matching for handwritten Chinese character recognition, Pattern Recognition, 34(12): 2339-2352, 2001.

5.         Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Performance evaluation of pattern classifiers for handwritten character recognition, Int. J. Document Analysis and Recognition, 4(3): 191-204, 2002.

6.         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.

7.         Ondrej Velek, Masaki Nakagawa, Cheng-Lin Liu, Vector-to-image transformation of character patterns for on-line and off-line recognition, Int. J. Computer Processing of Oriental Languages, 15(2): 187-209, 2002.

8.         Stefan Jaeger, Cheng-Lin Liu, Masaki Nakagawa, The state of the art in Japanese on-line handwriting recognition compared to techniques in western handwriting recognition, Int. J. Document Analysis and Recognition, 6(2): 75-88, 2003.

9.         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.

10.     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.

11.     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.

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

13.     Cheng-Lin Liu, Hongwei Hao, Hiroshi Sako, Confidence transformation for combining classifiers, Pattern Analysis and Applications, 7(1): 2-17, 2004.

14.     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.

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

16.     Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Handwritten numeral string recognition: effects of character normalization and feature extraction, IEICE Trans. Information and Systems, E88-D(8): 1791-1798, 2005.

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

18.     Cheng-Lin Liu, Hiroshi Sako, Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition, Pattern Recognition, 39(4): 669-681, 2006.

19.     Ruwei Dai, Chenglin Liu, Baihua Xiao, Chinese character recognition: history, status and prospects, Frontiers of Computer Science in China, 1(2): 126-136, 2007.

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

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

22.     Cheng-Lin Liu, Partial discriminative training for classification of overlapping classes in document analysis, Int. J. Document Analysis and Recognition, 11(2): 53-65, 2008.

23.     Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu, A robust approach to text line grouping in online handwritten Japanese documents, Pattern Recognition, 42(9): 2077-2088, 2009.

24.     Cheng-Lin Liu, Ching Y. Suen, A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters, Pattern Recognition, 42(12): 3287-3295, 2009.

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

26.     Xiao-Bo Jin, Cheng-Lin Liu, Xinwen Hou, Regularized margin-based conditional log-likelihood loss for prototype learning, Pattern Recognition, 43(7): 2428-2438, 2010.

27.     Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, A robust model for on-line handwritten Japanese text recognition, Int. J. Document Analysis and Recognition, 13(2): 121-131, 2010.

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

29.     Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu, Joint learning of error-correcting output codes and dichotomizers from data, Neural Computation and Applications, 21: 715-724, 2012.

30.     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.

31.     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.

32.     Bo Xu, Kaizhu Huang, Cheng-Lin Liu, Maxi-min discriminant analysis via online learning, Neural Networks, 34: 56-64, 2012.

33.     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.

34.     Guoqiang Zhong, Cheng-Lin Liu, Error-correcting output codes based ensemble feature extraction, Pattern Recognition, 46(4): 1091-1100, 2013.

35.     Qiu-Feng Wang, Eric Cambria, Cheng-Lin Liu, Amir Hussain, Common sense knowledge for handwritten Chinese text recognition, Cognitive Computation, 5(2): 234-242, 2013.

36.     Peipei Yang, Kaizhu Huang, Cheng-Lin Liu, A multi-task framework for metric learning with common subspace, Neural Computing and Applications, 22(7-8): 1337-1347, 2013.

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

38.     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.

39.     Xu-Yao Zhang, Cheng-Lin Liu, Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition, Pattern Recognition, 46(9): 2599-2611, 2013.

40.     Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context, Pattern Recognition, 46(10): 2807-2818, 2013.

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

42.     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, 35(10): 2484-2497, 2013.

43.     Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Horst Bunke, Keyword spotting from online Chinese handwritten documents using one-versus-all character classification model, Int. J. Pattern Recognition and Artificial Intelligence, 27(3), 2013.

44.     Jingnian Chen, Caiming Zhang, Xiaoping Xue, Cheng-Lin Liu, Fast instance selection for speeding up support vector machines, Knowledge-Based Systems, 45: 1-7, 2013.

45.     G.-R. Park, In-Jung Kim, Cheng-Lin Liu, An evaluation of statistical methods in handwritten Hangul recognition, Int. J. Document Analysis and Recognition, 16(3): 273-283, 2013.

46.     Liang Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu, Keyword spotting in unconstrained handwritten Chinese documents using contextual word model, Image and Vision Computing, 31(12): 958-968, 2013.

47.     Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Unsupervised language model adaptation for handwritten Chinese text recognition, Pattern Recognition, 47(3): 1202-1216, 2014.

48.     Adrien Delaye, Cheng-Lin Liu, Contextual text/non-text stroke classification in online handwritten notes with conditional random fields, Pattern Recognition, 47(3): 959-968, 2014.

49.     Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Character confidence based on N-Best list for keyword spotting in online Chinese handwritten documents, Pattern Recognition, 47(5): 1880-1890, 2014.

50.     Xiang-Dong Zhou, Yan-Ming Zhang, Feng Tian, Hong-An Wang, Cheng-Lin Liu, Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition, Pattern Recognition, 47(5): 1904-1916, 2014.

51.     Bo Xu, Kaizhu Huang, Irwing King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi, Graphical Lasso quadratic discriminant function and its application to character recognition, Neurocomputing, 129: 33-40, 2014.

52.     Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, An over-segmentation method for single-touching Chinese handwriting with learning based filtering, Int. J. Document Analysis and Recognition, 17(1): 91-104, 2014.

53.     Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle detection in satellite images by hybrid deep convolutional neural networks, IEEE Geoscience and Remote Sensing Letters, 11(10): 1797-1801, 2014.

54.     Da-Han Wang, Cheng-Lin Liu, Learning confidence transformation for handwritten Chinese text recognition, Int. J. Document Analysis and Recognition, 17(3): 205-219, 2014.

55.     Yan-Ming Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu, Learning locality preserving graph from data, IEEE Trans. SMC Part B, 44(11): 2088-2098, 2014.

56.     Adrien Delaye, Cheng-Lin Liu, Multi-class segmentation of free-form online documents with tree conditional random fields, Int. J. Document Analysis and Recognition, 17: 313-329, 2014.

57.     Xu-Yao Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu, Combination of clustering and classification results with label propagation, IEEE Signal Processing Letters, 21(5): 610-614, 2014.

58.     Yan-Ming Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu, MTC: A fast and robust graph-based transductive learning algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 1979-1991, 2015.

59.     Xu-Yao Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu, Retargeted least squares regression algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 2206-2213, 2015.

60.     Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao, A sparse projection and low-rank recovery framework for handwriting representation and salient stroke feature extraction, ACM Trans. On Intelligent System and Technology, 6(1): No.9, 2015.

61.     Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Discriminative quadratic feature learning for handwritten Chinese character recognition, Pattern Recognition, 49(1): 7-18, 2016.

62.     Peng Wang, Jiaming Xu, Guanhua Tian, Cheng-Lin Liu, Hongwei Hao, Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification, Neurocomputing, 174: 806-814, 2015.

63.     Yinglu Liu, Yanming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Adaptive spatial pooling for image classification, Pattern Recognition, 55: 58-67, 2016.

64.     Xu-Cheng Yin, Ze-Yu Zuo, Shu Tian, Cheng-Lin Liu, Text Detection, Tracking and Recognition in Video: A Comprehensive Survey, IEEE Trans. Image Processing, 25(6): 2752-2773, 2016.

65.     Yao Lu, Kaizhu Huang, Cheng-Lin Liu, Doubly stochastic projected fixed-point algorithm for large graph matching, Pattern Recognition, 60: 971-982, 2016.

66.     Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu, New Benchmark for Online and Offline Handwritten Chinese Character Recognition with Deep Convolutional Network and Adaptation, Pattern Recognition, 61: 348-360, 2017.

67.     Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu, Keyword spotting from handwritten Chinese documents based on semi-Markov conditional random fields, Engineering Applications of Artificial Intelligence, 58: 49-61, 2017.

68.     Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Improving Handwritten Chinese Text Recognition Using Neural Network Language Models and Convolutional Neural Network Shape Models, Pattern Recognition, 65: 251-264, 2017.

69.     Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu, Hybrid CNN and Dictionary-Based Features for Scene Recognition and Domain Adaptation, IEEE Trans. CSVT, 2015, accepted.

70.     Xu-Yao Zhang, Guo-Sen Xie, Cheng-Lin Liu, Yoshua Bengio, End-to-end online writer identification with recurrent neural network, IEEE Trans. Human-Machine Systems, 47(2): 285-292, 2017.

71.     Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu, SDE: A novel selective, discriminative and equalizing feature representation for visual recognition, International Journal of Computer Vision (IJCV), 2017.

72.     Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue, Cheng-Lin Liu, Traffic sign detection using a cascade method with fast feature extraction and saliency test, IEEE Trans. Intelligent Transportation Systems, accepted.

 

International Conferences

1.         Cheng-Lin Liu, Ru-Wei Dai, Ying-Jian Liu, Extracting individual features from moments for Chinese writer identification, Proc. 3rd ICDAR, Montreal, Canada, 1995, pp.438-441.

2.         Cheng-Lin Liu, Hong-Wei Hao, Ying-Jian Liu, Handwritten numeral recognition by spatial filtering and neural networks, Proc. ICNNSP, Nanjing, China, 1995.

3.         Cheng-Lin Liu, Ying-Jian Liu, Ru-Wei Dai, Multiresolution statistical and structural feature extraction for handwritten numeral recognition, Proc. 5th IWFHR, Colchester, UK, 1996, pp.61-66.

4.         Cheng-Lin Liu, In-Jung Kim, Jin H. Kim, High accuracy handwritten Chinese character recognition by improved feature matching method, Proc. 4th ICDAR, Ulm, Germany, 1997, pp.1033-1037.

5.         Cheng-Lin Liu, In-Jung Kim, Jin H. Kim, Model-based stroke extraction and matching by heuristic search for handwritten Chinese character recognition, Proc. 6th IWFHR, Taejon, Korea, 1998, pp.547-556.

6.         Cheng-Lin Liu, Masaki Nakagawa, A probabilistic model for precise candidate selection in large character set recognition, Proc. 6th IWFHR, Taejon, Korea, 1998, pp.259-268.

7.         Cheng-Lin Liu, Masaki Nakagawa, Prototype learning algorithms for nearest neighbor classification with application to handwritten character recognition, Proc. 5th ICDAR, Bangalore, India, 1999, pp.378-381.

8.         Cheng-Lin Liu, Masaki Nakagawa, Handwritten numeral recognition using neural networks: Improving the accuracy by discriminative training, Proc. 5th ICDAR, Bangalore, India, 1999, pp.257-260.

9.         In-Jung Kim, Cheng-Lin Liu, Jin H. Kim, Stroke-guided pixel matching for handwritten Chinese character recognition, Proc. 5th ICDAR, Bangalore, India, 1999, pp.665-668.

10.     Cheng-Lin Liu, Masashi Koga, Hiroshi Sako, Hiromichi Fujisawa, Aspect ratio adaptive normalization for handwritten character recognition, Advances in Multimodal Interfaces--ICMI2000, LNCS Vol. 1948, T. Tan, Y. Shi, and W. Gao (Eds.), Springer, 2000, pp.418-425.

11.     Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa, Lexicon-driven handwritten character string recognition for Japanese address reading, Proc. 6th ICDAR, Seattle, USA, 2001, pp.877-881.

12.     Ondrej Velek, Cheng-Lin Liu, Masaki Nakagawa, Generating realistic Kanji character images from on-line patterns, Proc. 6th ICDAR, Seattle, USA, 2001, pp.556-560.

13.     Cheng-Lin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit recognition using state-of-the-art techniques, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.320-325.

14.     Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Integrated segmentation and recognition of handwritten numerals: Comparison of classification algorithms, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.303-308.

15.     Srihasha Veeramachaneni, George Nagy, Cheng-Lin Liu, Hiromichi Fujisawa, Classifying isogenous fields, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.41-46.

16.     Stefan Jaeger, Masaki Nakagawa, Cheng-Lin Liu, Comparing on-line recognition of Japanese and Western script in preparation for recognizing multi-language documents, Proc. 8th IWFHR, Ontario, Canada, 2002, 84-89.

17.     Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Learning quadratic discriminant function for handwritten character recognition, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. IV, pp.44-47.

18.     Ondrej Velek, Cheng-Lin Liu, Stefan Jaeger, Masaki Nakagawa, An improved approach to generating Kanji images from on-line characters, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. I, pp.588-591.

19.     Srihasha Veeramachaneni, Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy, Style-conscious quadratic field classifier, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. II, pp.72-75.

20.     Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Handwritten Chinese character recognition: Alternatives to nonlinear normalization, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.524-528.

21.     Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako, Confidence evaluation for combining diverse classifiers, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.760-764.

22.     Hongwei Hao, Cheng-Lin Liu, Hiroshi Sako, Comparison of sequential search methods and genetic algorithm for classifier selection, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.765-769.

23.     Hiromichi Fujisawa, Cheng-Lin Liu, Directional pattern matching for character recognition revisited, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.794-798.

24.     Cheng-Lin Liu, Katsumi Marukawa, Handwritten numeral string recognition: Character-level training vs. string-level training, Proc. 17th ICPR, Cambridge, UK, 2004, Vol.1, pp.405-408.

25.     Cheng-Lin Liu, Katsumi Marukawa, Normalization ensemble for handwritten character recognition, Proc. 9th IWFHR, Tokyo, 2004, pp.69-74.

26.     Cheng-Lin Liu, Katsumi Marukawa, Global shape normalization for handwritten Chinese character recognition: a new method, Proc. 9th IWFHR, Tokyo, Japan, 2004, pp.300-305.

27.     Cheng-Lin Liu, Ryuji Mine, Masashi Koga, Building compact classifier for large character set recognition using discriminative feature extraction, Proc. 8th ICDAR, Seoul, Korea, 2005, pp.846-850.

28.     Cheng-Lin Liu, Masashi Koga, Hiromichi Fujisawa, Gabor feature extraction for character recognition: Comparison with gradient feature, Proc. 8th ICDAR, Seoul, Korea, 2005, pp.121-125.

29.     Cheng-Lin Liu, Hiromichi Fujisawa, Classification and learning in character recognition: comparison of methods and remaining problems, Proc. Int. Workshop on Neural Networks and Learning in Document Analysis and Recognition, Seoul, Korea, August, 2005.

30.     Xinwen Hou, Cheng-Lin Liu, Tieniu Tan, Learning boosted asymmetric classifiers for object detection, Proc. CVPR 2006, New York, Vol.1, pp.330-338.

31.     Cheng-Lin Liu, High accuracy handwritten Chinese character recognition using quadratic classifiers with discriminative feature extraction, Proc. 18th ICPR, Hong Kong, 2006, Vol.2, pp.942-945.

32.     Cheng-Lin Liu, Polynomial network classifier with discriminative feature extraction, Structural, Syntactic, and Statistical Pattern Recognition: Joint IAPR Int. Workshops, D.-Y. Yeung, et al. (Eds.), LNCS Vol.4109, Springer, 2006, pp.732-740.

33.     Cheng-Lin Liu, Xiang-Dong Zhou, Online Japanese character recognition using trajectory-based normalization and direction feature extraction, Proc. 10th IWFHR, La Baule, France, 2006, pp.217-222.

34.     Cheng-Lin Liu, Handwritten Chinese character recognition: Effects of shape normalization and feature extraction, Summit on Arabic and Chinese Handwriting Recognition (SACH06), University of Maryland, College Park, MD, 2006, pp.13-27. (Invited speech)

35.     Srinivas Andra, George Nagy, Cheng-Lin Liu, Frequency coding: An effective method for combining dichotomizers, Document Recognition and Retrieval XIV, San Jose, CA, Jan. 31-Feb. 1, Proceedings of SPIE, Vol.6500, 2007.

36.     Sa Wang, Cheng-Lin Liu, Lian Zheng, Feature selection by combining Fisher criterion and principal feature analysis, Proc. ICMLC 2007, Hong Kong, Vol.2, pp.1149-1154.

37.     Xiang-Dong Zhou, Jin-Lun Yu, Cheng-Lin Liu, Takeshi Nagasaki, Katsumi Marukawa, Online handwritten Japanese character string recognition incorporating geometric context, Proc. 9th ICDAR, Curitiba, Brazil, 2007, Vol.1, pp.48-52.

38.     Xiang-Dong Zhou, Cheng-Lin Liu, Text/non-text ink stroke classification in Japanese handwriting based on Markov random fields, Proc. 9th ICDAR, Curitiba, Brazil, 2007, Vol.1, pp.377-381.

39.     Tian-Fu Gao, Cheng-Lin Liu, LDA-based compound distance for handwritten Chinese character recognition, Proc. 9th ICDAR, Curitiba, Brazil, 2007, Vol.2, pp.904-908.

40.     Fei Yin, Cheng-Lin Liu, Handwritten text line extraction by minimum spanning tree clustering, Proc.5th Int. Conf. on Wavelet Analysis and Pattern Recognition, Beijing, China, 2007, Vol.3, pp.1123-1128.

41.     Xiao-Bo Jin, Xinwen Hou, Cheng-Lin Liu, A hybrid generative-discriminative learning algorithm for Bayesian network structure, Proc. 5th Int. Conf. on Wavelet Analysis and Pattern Recognition, Beijing, China, 2007, Vol.2, pp.618-623.

42.     Cyril Cassisa, V. Prinet, L. Shao, S. Simoens, Cheng-Lin Liu, Optical flow robust estimation in a hybrid multi-resolution MRF framework, Proc. ICASSP 2008, Las Vegas, Nevada, 2008.

43.     Xiao-Hua Liu, Cheng-Lin Liu, Xinwen Hou, A pooled subspace mixture density model for pattern classification in high-dimensional spaces, Proc. IJCNN 2008, Hong Kong, pp.2467-2472.

44.     Cheng-Lin Liu, Partial discriminative training of neural networks for classification of overlapping classes, Artificial Neural Networks in Pattern Recognition: Third IAPR Workshop, Paris, France, 2008, LNAI 5064, Springer, pp.137-146.

45.     Cheng-Lin Liu, Ching Y. Suen, A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters, Proc. 11th ICFHR, Montreal, Canada, Aug. 2008, pp.278-283.

46.     Fei Yin, Cheng-Lin Liu, Handwritten text line segmentation by clustering with distance metric learning, Proc. 11th ICFHR, Montreal, Canada, Aug. 2008, p.229-234.

47.     Xiang-Dong Zhou, Da-Han Wang, Cheng-Lin Liu, Grouping text lines in online handwritten Japanese documents by combining temporal and spatial information, Proc. 8th IAPR Int. Workshop on DAS, Nara, Japan, Sep. 2008, pp.61-68.

48.     Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu, A robust system to detect and localize texts in natural scene images, Proc. 8th IAPR Int. Workshop on DAS, Nara, Japan, Sep. 2008, pp.35-42.

49.     Long-Long Ma, Cheng-Lin Liu, A new radical-based approach to online handwritten Chinese character recognition, Proc. 19th ICPR, Tampa, USA, 2008.

50.     Xiao-Bo Jin, Cheng-Lin Liu, Xinwen Hou, Prototype learning by margin-based conditional log-likelihood loss, Proc. 19th ICPR, Tampa, USA, 2008.

51.     Tian-Fu Gao, Cheng-Lin Liu, Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition, Proc. 19th ICPR, Tampa, USA, 2008.

52.     Tong-Hua Su, Tian-Wen Zhang, H.-J. Huang, Cheng-Lin Liu, Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting, Proc. 19th ICPR, Tampa, USA, 2008.

53.     Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, A robust model for on-line handwritten Japanese text recognition, Document Recognition and Retrieval XVI, Proc. SPIE, Vol.7247, 2009.

54.     Yi-Feng Pan, Xinwen Hou, Cheng-Lin Liu, Text localization in natural scene images based on conditional random field, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.6-10.

55.     Fei Yin, Cheng-Lin Liu, A variational Bayes method for handwritten text line segmentation, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.436-440.

56.     Bilan Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, Effect of improved path evaluation for on-line handwritten Japanese text recognition, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.516-520.

57.     Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, Online handwritten Japanese character string recognition using conditional random fields, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.521-525.

58.     Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, A tool for ground-truthing text lines and characters in off-line handwritten Chinese documents, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.951-955.

59.     Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Integrating language model in handwritten Chinese text recognition, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.1036-1040.

60.     Da-Han Wang, Cheng-Lin Liu, J.-L. Yu, Xiang-Dong Zhou, CASIA-OLHWDB1: A database of online handwritten Chinese characters, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.1206-1210.

61.     Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu, Subspace regularization: a new semi-supervised learning method, ECML PKDD2009, Bled, Slovenia, LNCS Vol.5782, Springer, 2009, pp.586-601.

62.     Heng Wang, Xinwen Hou, Cheng-Lin Liu, Object tracking by bidirectional learning with feature selection, Proc. Int. Conf. Image Processing (ICIP), Cairo, Egypt, 2009.

63.     Guoqiang Zhong, Xinwen Hou, Cheng-Lin Liu, Relative distance-based Laplacian eigenmaps, Proc. 2009 Chinese Conference on Pattern Recognition (CCPR) and First CJK Workshop on Pattern Recognition (CJKPR), Nanjing, China, 2009, pp.784-788.

64.     Long-Long Ma, Cheng-Lin Liu, On-line handwritten Chinese character recognition based on nested segmentation of radicals, Proc. 2009 Chinese Conference on Pattern Recognition (CCPR) and First CJK Workshop on Pattern Recognition (CJKPR), Nanjing, China, 2009, pp.929-933.

65.     Ming-Bo Wang, Cheng-Lin Liu, Class selection based iterative supervised latent semantic indexing for text categorization, Proc. Int. Conf. Information Engineering and Computer Science (ICIECS), Wuhan, China, 2009, pp.261-264.

66.     Yan-Ming Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou, Transductive learning on adaptive graphs, Proc. 24th AAAI Conference on Artificial Intelligence, 2010, pp.661-666.

67.     Guoqiang Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu, Gaussian process latent random field, Proc. 24th AAAI Conference on Artificial Intelligence, 2010, pp.679-684.

68.     Cheng-Lin Liu, One-vs-all training of prototype classifiers for pattern classification and retrieval, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.3328-3331.

69.     Bo Xu, Kaizhu Huang, Cheng-Lin Liu, Dimensionality reduction by minimal distance maximization, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.569-572.

70.     Xiao-Bo Jin, Xinwen Hou, Cheng-Lin Liu, Multi-class AdaBoost with hypothesis margin, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.65-68.

71.     Heng Wang, Xinwen Hou, Cheng-Lin Liu, Boosting incremental semi-supervised discriminant analysis for tracking, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.2748-2751.

72.     Kaizhu Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu, Robust metric learning with smooth optimization, Proc. 26th Int. Conf. Uncertainty in Artificial Intelligence (UAI), Catalina Island, CA, 2010.

73.     Xiao-Hua Liu, Cheng-Lin Liu, Discriminative training of subspace Gaussian mixture model for pattern classification, Proc. 6th Int. Conf. on Intelligent Computing (ICIC), Changsha, China, LNCS Vol.6216, Springer, 2010, pp.213-221.

74.     An Lu, Xinwen Hou, X. Chen, Cheng-Lin Liu, Insect species recognition using sparse representation, Proc. BMVC 2000, Aberystwyth, UK, 2010.

75.     Yi-Feng Pan, Cheng-Lin Liu, Xinwen Hou, Fast scene text localization by learning-based filtering and verification, Proc. Int. Conf. Image Processing (ICIP), Hong Kong, 2010, pp.2269-2272.

76.     Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, Integrating geometric context for text alignment of handwritten Chinese documents, Proc. 12th ICFHR, Kolkata, India, 2010, pp.7-12.

77.     Tong-Hua Su, Cheng-Lin Liu, Improving HMM-based Chinese handwriting recognition using Delta features and synthesized string samples, Proc. 12th ICFHR, Kolkata, India, 2010, pp.78-83.

78.     Heng Zhang, Da-Han Wang, Cheng-Lin Liu, Keyword spotting from online Chinese handwritten documents using one-vs-all trained character classifier, Proc. 12th ICFHR, Kolkata, India, 2010, pp.271-276.

79.     Xiang-Dong Zhou, Da-Han Wang, Masaki Nakagawa, Cheng-Lin Liu, Error reduction by confusing characters discrimination for online handwritten Japanese character recognition, Proc. 12th ICFHR, Kolkata, India, 2010, pp.495-500.

80.     Long-Long Ma, Adrien Delaye, Cheng-Lin Liu, Special radical detection by statistical classification for on-line handwritten Chinese character recognition, Proc. 12th ICFHR, Kolkata, India, 2010, pp.501-506.

81.     Bo Xu, Kaizhu Huang, Cheng-Lin Liu, Similar characters recognition by critical region selection based on average symmetric uncertainty, Proc. 12th ICFHR, Kolkata, India, 2010, pp.527-532.

82.     Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Online and offline handwritten Chinese character recognition: benchmarking on new databases, Proc. 2nd CJK Joint Workshop on Pattern Recognition (CJKPR2010), Fukuoka, Japan, 2010, pp.197-202.

83.     Da-Han Wang, Cheng-Lin Liu, An approach to real-time recognition of online handwritten Chinese sentences, Proc. 2nd CJK Joint Workshop on Pattern Recognition (CJKPR2010), Fukuoka, Japan, 2010, pp.203-208.

84.     Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu, Learning ECOC and dichotomizers jointly from data, Neural Information Processing: Theory and Algorithms - ICONIP 2010, LNCS Vol.6443, Springer, 2010, pp.494-502.

85.     Xu-Yao Zhang, Cheng-Lin Liu, Style transfer matrix learning for writer adaptation, Proc. CVPR 2011, Colorado Springs, USA, pp.393-398.

86.     Heng Wang, Alex Kläser, Cordelia Schmid, Cheng-Lin Liu, Action recognition by dense trajectories, Proc. CVPR 2011, Colorado Springs, USA, pp.3169-3176.

87.     Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu, Pattern field classification with style normalized transformation, Proc. IJCAI 2011, Barcelona, Spain, pp.1621-1626.

88.     Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, CASIA online and offline Chinese handwriting databases, Proc. 11th ICDAR, Beijing, China, 2011, pp.37-41.

89.     Xiang-Dong Zhou, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Masaki Nakagawa, Cheng-Lin Liu, Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields, Proc. 11th ICDAR, Beijing, China, 2011, pp.58-62.

90.     Liang Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu, Keyword Spotting in offline Chinese handwritten documents using a statistical model, Proc. 11th ICDAR, Beijing, China, 2011, pp.78-82.

91.     Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Improving handwritten Chinese text recognition by confidence transformation, Proc. 11th ICDAR, Beijing, China, 2011, pp.518-522.

92.     Liang Xu, Fei Yin, Cheng-Lin Liu, Touching character separation in Chinese handwriting using visibility-based foreground analysis, Proc. 11th ICDAR, Beijing, China, 2011, pp.859-863.

93.     Da-Han Wang, Cheng-Lin Liu, Dynamic text line segmentation for real-time recognition of Chinese handwritten sentences, Proc. 11th ICDAR, Beijing, China, 2011, pp.931-935. Best Poster Award.

94.     Heng Zhang, Cheng-Lin Liu, A lattice-based method for keyword spotting in online Chinese handwriting, Proc. 11th ICDAR, Beijing, China, 2011, pp.1064-1068.

95.     Tong-Hua Su, Cheng-Lin Liu, Perceptron learning of modified quadratic discriminant function, Proc. 11th ICDAR, Beijing, China, 2011, pp.1007-1011.

96.     Cheng-Lin Liu, Fei Yin, Qiu-Feng Wang, Da-Han Wang, ICDAR 2011 Chinese handwriting recognition competition, Proc. 11th ICDAR, Beijing, China, 2011, pp.1464-1469.

97.     Jingnian Chen, Cheng-Lin Liu, Fast multi-class sample reduction for speeding up support vector machines, Proc. IEEE Int. Workshop on Machine Learning for Signal Processing, Beijing, China, 2011.

98.     Peipei Yang, Kaizhu Huang, Cheng-Lin Liu, Multi-task low-rank metric learning based on common subspace, Proc. ICONIP 2011, Shanghai, China, 2011, Part II, LNCS Vol. 7063, Springer, pp.151-159.

99.     Bo Xu, Kaizhu Huang, Irwing King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi, Graphical Lasso quadratic discriminant function for character recognition, Proc. ICONIP 2011, Shanghai, China, 2011, Part II, LNCS Vol. 7064, Springer, pp.747-755.

100. Xiao-Hua Liu, Cheng-Lin Liu, Discriminative model selection for Gaussian mixture models for classification, Proc. First Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011, pp.62-66.

101. Jingnian Chen, Cheng-Lin Liu, Instance selection for speeding up multi-class SVMs with neighborhoods, Proc. First Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011, pp.264-268.

102. Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu, Fast and robust graph-based transductive learning via minimum tree cut, Proc. Int. Conf. on Data Mining (ICDM), Vancouver, Canada, 2011.

103. Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu, Low rank metric learning with manifold regularization, Proc. Int. Conf. on Data Mining (ICDM), Vancouver, Canada, 2011.

104. Bo Bai, Fei Yin, Cheng-Lin Liu, A fast stroke-based method for text detection in video, Proc. DAS, 2012, Gold Coast, Australia, pp.69-73.

105. Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Improving handwritten Chinese text recognition by unsupervised language model adaptation, Proc. DAS, 2012, Gold Coast, Australia, pp.110-114.

106. Muna Khayyat, Louisa Lam, Ching Y. Suen, Fei Yin, Cheng-Lin Liu, Arabic handwritten text line extraction by applying an adaptive mask to morphological dilation, Proc. DAS, 2012, Gold Coast, Australia, pp.100-104.

107. Xu-Yao Zhang, Cheng-Lin Liu, Confused distance maximization for large category dimensionality reduction, Proc. 13th ICFHR, Bari, Italy, 2012, pp.213-218.

108. Liang Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, A touching character database from Chinese handwriting for assessing segmentation algorithms, Proc. 13th ICFHR, Bari, Italy, 2012, pp.89-94.

109. Peipei Yang, Kaizhu Huang, Cheng-Lin Liu, Geometry preserving multi-task metric learning, ECML PKDD 2012, LNCS Vol.7523, pp.648-664.

110. An Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen, Insect species recognition using discriminative local soft coding, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.1221-1224.

111. Da-Han Wang, Cheng-Lin Liu, String-level learning of confidence transformation for Chinese handwritten text recognition, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.3208-3211.

112. Heng Zhang, Da-Han Wang, Cheng-Lin Liu, A confidence-based method for keyword spotting in online Chinese handwritten documents, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.525-528.

113. Yinglu Liu, Xu-Yao Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu, Multiple outlooks learning with support vector machines, Proc. ICONIP 2012, LNCS Vol.7665, pp.116-124.

114. Peipei Yang, Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu, Manifold regularized multi-task learning, Proc. ICONIP 2012, LNCS Vol.7665, pp.528-536.

115. Adrien Delaye, Cheng-Lin Liu, Context modeling for text/non-text separation in free-form online handwritten documents, Document Recognition and Retrieval XX, 2013.

116. Yao Lu, Horst Bunke, Cheng-Lin Liu, An algorithm for maximum common subgraph of planar triangulation graphs, Proc. 9th IAPR Workshop on Graph-based Representations in Pattern Recognition (GbR 2013), Vienna, Austria, LNCS 7877, Springer, 2013, pp.162-171.

117. Zhao Zhang, Cheng-Lin Liu, Mingbo Zhao, Handwriting representation and recognition through a sparse projection and low-rank recovery framework, Proc. IJCNN 2013, Dallas, 2013.

118. Xu-Yao Zhang, Cheng-Lin Liu, Locally smoothed modified quadratic discriminant function, Proc. 12th ICDAR, Washington D.C., 2013, pp.8-12.

119. Yan-Fei Lv, Lin-Lin Huang, Da-Han Wang, Cheng-Lin Liu, Learning-based candidate segmentation scoring for real-time recognition of online overlaid Chinese handwriting, Proc. 12th ICDAR, Washington D.C., 2013, pp.74-78.

120. Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu, Keyword spotting in online Chinese handwritten documents with candidate scoring based on semi-CRF model, Proc. 12th ICDAR, Washington D.C., 2013, pp.567-571.

121. Ming-Ke Zhou, Fei Yin, Cheng-Lin Liu, GPU-Based fast training of discriminative learning quadratic discriminant function for handwritten Chinese character recognition, Proc. 12th ICDAR, Washington D.C., 2013, pp.842-846.

122. Xiang-Dong Zhou, Feng Tian, Cheng-Lin Liu, Hong-An Wang, Minimum risk training for handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields, Proc. 12th ICDAR, Washington D.C., 2013, pp.940-944.

123. Kai Chen, Fei Yin, Cheng-Lin Liu, Hybrid page segmentation with efficient whitespace rectangles extraction and grouping, Proc. 12th ICDAR, Washington D.C., 2013, pp.958-962.

124. Adrien Delaye, Cheng-Lin Liu, Graphics extraction from heterogeneous online documents with hierarchical random fields, Proc. 12th ICDAR, Washington D.C., 2013, pp.1007-1011.

125. Fei Yin, Ming-Ke Zhou, Qiu-Feng Wang, Cheng-Lin Liu, Style consistent perturbation for handwritten Chinese character recognition, Proc. 12th ICDAR, Washington D.C., 2013, pp.1051-1055.

126. Fei Yin, Qiu-Feng Wang, Xu-Yao Zhang, Cheng-Lin Liu, ICDAR 2013 Chinese handwriting recognition competition, Proc. 12th ICDAR, Washington D.C., 2013, pp.1095-1101.

127. Bo Bai, Fei Yin, Cheng-Lin Liu, Scene text localization using gradient local correlation, Proc. 12th ICDAR, Washington D.C., 2013, pp.1412-1416.

128. Yan-Ming Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu, Fast kNN graph construction with locality sensitive hashing, Machine Learning and Knowledge Discovery in Databases, LNCS Vol.8190, Springer, 2013, pp.660-674.

129. Xiao-Jie Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu, Visual gesture character string recognition by classification-based segmentation with stroke deletion, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.120-124.

130. Yinglu Liu, Xinwen Hou, Cheng-Lin Liu, A compact spatial feature representation for image classification, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.601-605.

131. Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Aircraft detection by deep belief nets, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.54-58.

132. Xueyun Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle detection in satellite images by parallel deep convolutional neural networks, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.181-185.

133. Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu, Feature transformation with class conditional decorrelation, Proc. 13th ICDM, Dallas, 2013, pp.887-896.

134. Bo Bai, Fei Yin, Cheng-Lin Liu, A seed-based segmentation method for scene text extraction, Proc. 11th IAPR Workshop on DAS, Tours, France, 2014, pp.262-266.

135. Guo-Sen Xie, Xu-Yao Zhang, Yan-Ming Zhang and Cheng-Lin Liu, Integrating supervised subspace criteria with restricted Boltzmann machine for feature extraction, Proc. 2014 IJCNN, Beijing, pp.1622-1629.

136. Ming-Ke Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Improving handwritten Chinese character recognition with discriminative quadratic feature extraction, Proc. 22nd ICPR, Stockholm, 2014, pp.244-249.

137. Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Evaluation of geometric context models for handwritten numeral string recognition, Proc. 14th ICFHR, Crete Island, Greece, 2014, pp.193-198.

138. Bo-Yuan Feng, Mingwu Ren, Xu-Yao Zhang, Cheng-Lin Liu, Effective license plate detection using fast candidate region selection and covariance feature based filtering, Proc. 11th Int. Conf. on Advanced Video and Signal-Based Surveillance (AVSS), Seoul, Korea, 2014.

139. Guo-Sen Xie, Xu-Yao Zhang, Cheng-Lin Liu, Efficient feature coding based on auto-encoder network for image classification, Proc. ACCV 2014, Singapore, 2014.

140. Dongdong Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu, A saliency-based cascade method for fast traffic sign detection, IEEE Intelligent Vehicles Symposium, Seoul, Korea, 2015, pp.180-185.

141. Peng Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Heng Zhang, Fangyuan Wang, Hongwei Hao, Word embedding clustering and convolutional neural network for short text categorization, ACL-IJCNLP 2015, Beijing, China, 2015.

142. Fei Yin, Paipai Liu, Linlin Huang, Cheng-Lin Liu, Lexicon-driven recognition of one-stroke character strings in visual gesture, Proc. 13th ICDAR, Nancy, France, 2015, pp.421-425.

143. Kai Chen, Fei Yin, Amir Hussain, Cheng-Lin Liu, Efficient text localization in born-digital images by local contrast-based segmentation, Proc. 13th ICDAR, Nancy, France, 2015, pp.291-295.

144. Yi-Chao Wu, Fei Yin, Cheng-Lin Liu, Evaluation of neural network language models in handwritten Chinese text recognition, Proc. 13th ICDAR, Nancy, France, 2015, pp.166-170.

145. Xin He, Yi-Chao Wu, Kai Chen, Fei Chen, Cheng-Lin Liu, Neural Network Based Over-Segmentation for Scene Text Recognition, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015.

146. Dongdong Wang, Xinwen Hou, Cheng-Lin Liu, Traffic Sign Detection from Video: A Fast Approach with Tracking, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015.

147. Guo-Sen Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu, Task-Driven Feature Pooling for Image Classification, ICCV 2015, Santiago, Chile.

148. Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, Cheng-Lin Liu, Large-Scale Graph-based Semi-Supervised Learning via Tree Laplacian Solver, AAAI 2016, Phoenix, Arizona, USA.

149. Kai Chen, Cheng-Lin Liu, M. Seuret, Hao Wei, M. Liwicki, J. Hennebert, R. Ingold, Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning, Proc. 12th IAPR Workshop on DAS, 2016, pp.299-304.

150. Zheng Zhang, Yong Xu, Cheng-Lin Liu, Natural Scene Character Recognition Using Robust PCA and Sparse Representation, Proc. 12th IAPR Workshop on DAS, 2016, pp.340-345.

151. Kai Chen, Fei Yin, Cheng-Lin Liu, Effective Candidate Component Extraction for Text Localization in Born-Digital Images by Combining Text Contours and Stroke Interior Regions, Proc. 12th IAPR Workshop on DAS, 2016, pp.352-357.

152. Yongzhong Wang, Xu-Yao Zhang, Yanming Zhang, Xinwen Hou and Cheng-Lin Liu, Exploiting Coarse-to-Fine Mechanism for Fine-Grained Recognition, Proc. Int. Conf. Image Processing (ICIP), 2016.

153. Ting-Bing Xu, Guang-Liang Cheng, Jie Yang, Cheng-Lin Liu, Fast aircraft detection using end-to-end fully convolutional network, Proc. International Conference on Digital Signal Processing (DSP 2016), Beijing, China, October 16-18, 2016, pp.139-143.

154. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Cheng-Lin Liu, Unsupervised adaptation of neural networks for Chinese handwriting recognition, Proc. 15th ICFHR, Shenzhen, China, October 23-26, 2016, pp.512-517.

155. Kai Chen, M. Seuret, M. Liwicki, J. Hennebert, Cheng-Lin Liu, R. Ingold, Page Segmentation for Historical Handwritten Document Images Using Conditional Random Fields, Proc. 15th ICFHR, Shenzhen, China, October 23-26, 2016, pp.90-95.

156. Yuan-Yuan Shen, Cheng-Lin Liu, Incremental Learning Vector Quantization for Character Recognition with Local Style Consistency, Brain-Inspired Cognitive Systems (BICS 2016), Beijing, China, November 28-30, 2016, LNAI Vol.10023, Springer, pp.228-239.

157. Jie Yang, Xinwei Jiang, Cheng-Lin Liu, Chunhong Pan, Enhancement of Low Light Level Images with Coupled Dictionary Learning, Proc. 23rd ICPR, Cancun, Mexico, December 4-8, 2016, pp.740-745.

158. Wenhao He, Yuxuan Luo, Fei Yin, Han Hu, Junyu Han, Errui Ding, Cheng-Lin Liu, Context-Aware Mathematical Expression Recognition: An End-to-End Framework and A Benchmark, Proc. 23rd ICPR, Cancun, Mexico, December 4-8, 2016, pp.3235-3240.

159. Jun-Yu Ye, Yan-Ming Zhang, Cheng-Lin Liu, Joint Training of Conditional Random Fields and Neural Networks for Stroke Classification in Online Handwritten Documents, Proc. 23rd ICPR, Cancun, Mexico, December 4-8, 2016, pp.3253-3258.

160. Zhao Zhong, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Handwritten Chinese Character Recognition with Spatial Transformer and Deep Residual Networks, Proc. 23rd ICPR, Cancun, Mexico, December 4-8, 2016, pp. 3429-3434.

 

 

Domestic Journals

1.         Cheng-Lin Liu, Ru-Wei Dai, Ying-Jian Liu, Preprocessing and matching of character images for writer identification, Journal of Chinese Information Processing, 10(3): 50-57, 1996.

2.         Cheng-Lin Liu, Ying-Jian Liu, Ru-Wei Dai,, Writer identification by mutichannel decomposition and matching, Acta Automatica Sinica, 23(1): 56-63, 1997.

3.         Cheng-Lin Liu, Ru-Wei Dai, Ying-Jian Liu, Modified Wigner distribution with application to writer identification, Chinese Journal of Computers, 20(11): 1018-1023, 1997.

4.         Cheng-Lin Liu, Tieniu Tan, Advances in pattern recognition research, Communications of CCF, 2007, no.12, pp.45-52.

5.         Xiao-Lin Chen, Xinwen Hou, Cheng-Lin Liu, Xiao-Qiu Liu, Zhi-Bin Zhang, Advances in the automated insect image identification, Chinese Bulletin of Entomology, 45(2): 317-322, 2008.

6.         Jin-Lun Yu, Xiang-Dong Zhou, Cheng-Lin Liu, Path search strategies for handwritten Character string recognition, Chinese Journal of Pattern Recognition and Artificial Intelligence, 22(2): 182-187, 2009.

7.         Long-Long Ma, Cheng-Lin Liu, On-line handwritten Chinese character recognition using statistical radical models, CAAI Trans. Intelligent Systems, 5(5): 385-391, 2010.

8.         Mayire Ibrahim, Heng Zhang, Cheng-Lin Liu, Askar Hamdulla, A method for online handwritten Uyghur character recognition, Chinese Journal of Pattern Recognition and Artificial Intelligence, 25(6): 979-986, 2012.

9.         Geng Yu, Fei Yin, Youbin Chen, Cheng-Lin Liu, Fast keyword spotting in handwritten Chinese documents using index, Pattern Recognition and Artificial Intelligence, 28(11): 1033-1040, 2015.

10.     Yi Zeng, Cheng-Lin Liu, Tieniu Tan, Retrospect and outlook of brain-inspired intelligence research, Chinese Journal of Computers, 39(1): 212-222, 2016.

 

Domestic Conferences

1.        Cheng-Lin Liu, Ruwei Dai, Yingjian Liu, Hidden Markov models with application to character recognition, Proc. 5th Symposium on Chinese Character and Speech Recognition, Chengdu, 1994.

2.        Jin-Lun Yu, Xiang-Dong Zhou, Cheng-Lin Liu, Search strategies in online handwritten character string recognition, Proc. 2007 Chinese Conference on Pattern Recognition (CCPR), Beijing, 2007, pp.299-305.

3.        Yi-Feng Pan, Cheng-Lin Liu, Performance evaluation for text localization algorithms: an empirical study, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

4.        Liang Xu, Fei Yin, Cheng-Lin Liu, Touching character splitting of Chinese handwriting using contour analysis and DTW, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

5.        Cheng-Lin Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Chinese Handwriting Recognition Contest 2010, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

6.        Adrien Delaye, Cheng-Lin Liu, Text/non-text classification in online handwritten documents with conditional random fields, Chinese Conference on Pattern Recognition (CCPR 2012), CCIS 321, Springer, 2012, pp.514-521.

7.        Mayire Ibrahim, Heng Zhang, Cheng-Lin Liu, Askar Hamdulla, An effective character separation method for online cursive Ughur handwriting, Chinese Conference on Pattern Recognition (CCPR 2012), CCIS 321, Springer, 2012, pp.530-538.

8.        Xiaolong Liu, Yanming Zhang, Chenglin Liu, A nonlinear classifier based on factorization machines model, Chinese Conference on Pattern Recognition (CCPR 2014), Part I, CCIS 483, Springer, 2014, pp.1-10.

9.        Guoshuai Liu, Weifeng Zhong, Fei Yin, Cheng-Lin Liu, Fast Classification of Natural Scene and Born-Digital Images, 18th National Conference on Image and Graphics, Nanning, 2016.

 

 

Updated 2017.04.02