Home Page of Cheng-Lin Liu

List of Publications

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

Books

1.         M. Cheriet, N. Kharma, C.-L. Liu, C.Y. Suen, Character Recognition Systems: A Guide for Students and Practitioners, John Wiley & Sons, 2007.

 

Edited Books

1.         J.-H. Lai, C.-L. Liu, X. Chen, J. Zhou, T. Tan, N. Zheng, H. Zha, Pattern Recognition and Computer Vision, First Chinese Conference, PRCV 2018, Guangzhou, China, No. 23-26, 2018, Part I-IV, LNCS, Vol.11256-11259, Springer, 2018. https://www.springer.com/cn/book/9783030033972

2.         Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao (Eds.), Advances in Brain Inspired Cognitive Systems, 9th International Conference, BICS 2018, Xi’an, China, July 7-8, 2018, LNCS Vol. 10989, ISBN 978-3-030-00562-7, Springer, 2018.

3.         Pasquale Foggia, Cheng-Lin Liu, Mario Vento (Eds.), Graph-Based Representations in Pattern Recognition – 11th IAPR-TC-15 International Workshop, GbRPR 2017, Anacapri, Italy, May 16-18, 2017, LNCS 10310, ISBN 978-3-310-58960-2, Springer, 2017.

4.         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

5.         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.

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

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

8.         C.-L. Liu, C. Zhang, L. Wang (Eds.), Pattern Recognition: CCPR 2012, Springer, CCIS Vol. 321, 2012.

 

Special Issue Editors

1.         C.-L. Liu, C. Gong, J. Xie, D.-J. Yu, J. Yang, D. Tao, Special Section on Advances in Representation Learning, Pattern Recognition, Vol. 87, 2019.

2.         Z.-Y. Liu, K.-Z. Huang, X. Yang, C.-L. Liu, Special Issue on Advances in Graph Algorithm and Applications, Neurocomputing, 2018.

3.         C.-L. Liu, J. Yang, Special Issue: Selected Papers from the 4th Asian Conference on Pattern Recognition (ACPR 2017), CAAI Trans. Intelligence Technology, 3(3), 2018.

4.         C.-L. Liu, G. A. Fink, V. Govindaraju, L. Jin, Special issue on deep learning for document analysis and recognition, Int. J. Document Analysis and Recognition, 21(3), 2018.

5.         C.-L. Liu, A. Hussain, B. Luo, K. C. Tan, Y. Zeng, Z. Zhang, Special Issue of BICS 2016, Cognitive Computation, 10: 282-283, 2018.

6.         C.-L. Liu, B. Luo, W. Kropatsch, Special Issue on Graph-based Pattern Recognition, Pattern Recognition Letters, 87: 1-3, 2017.

7.         C.-L. Liu, B. Lovell, D. Tao, M. Tistarelli (Eds.), Special Issue on Pattern Recognition, IEEE Intelligent Systems, Part 1, 31(2): 6-8, 2016; Part 2, 32(3), 2016.

8.         S. Impedovo, C.-L. Liu, D. Impedovo, G. Pirlo (Eds.), Special Issue on Handwriting recognition and other PR applications, Pattern Recognition, 47(3): 915, 2014.

9.         H. Fujisawa, J. H. Kim, C.-L. Liu (Eds.), Special Issue on Oriental Character Recognition, Int. J. Computer Processing of Oriental Languages, 15(2), 2002.

 

Book Chapters

1.        A. Lu, X. Hou, C.-L. Liu, X. 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.

2.        C.-L. Liu, L.-L. 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.

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

4.        C.-L. Liu, H. Fujisawa, Classification and learning in character recognition: Advances and remaining problems, In: Machine Learning in Document Analysis and Recognition, S. Marinai and H. Fujisawa (Eds.), Springer, 2008, pp.139-161.

5.        C.-L. Liu, M. 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.

6.        C.-L. Liu, Y.-J. Liu, R.-W. 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.

 

International Journals

1.         T.-B. Xu, P. Yang, X.-Y. Zhang, C.-L. Liu, LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation, Pattern Recognition, 88: 272-284, 2019.

2.         H. Peng, C.-L. Liu, Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss, IEEE Trans. Neural Networks and Learning Systems, 30(3): 788-802, 2019.

3.         G.-S. Liu, R.-Q. Wang, F. Yin, J.-M. Ogier, C.-L. Liu, Fast genre classification of web images using global and local features, CAAI Trans. Intelligence Technology, 3(3): 161-168, 2018.

4.         W. He, X.-Y. Zhang, F. Yin, C.-L. Liu, Multi-oriented and multi-lingual scene text detection with direct regression, IEEE Trans. Image Processing, 27(11): 5406-5419, 2018.

5.         Y.-Y. Shen, C.-L. Liu, Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation, Cognitive Computation, 10: 334-346, 2018.

6.         X.-Y. Zhang, F. Yin, Y.-M. Zhang, C.-L. Liu, Yoshua Bengio, Drawing and Recognizing Chinese Characters with Recurrent Neural Network, IEEE Trans. Pattern Analysis and Machine Intelligence, 40(4): 849-862, 2018.

7.         D. Wang, X. Hou, J. Xu, S. Yue, C.-L. Liu, Traffic sign detection using a cascade method with fast feature extraction and saliency test, IEEE Trans. Intelligent Transportation Systems, 18(12): 3290-3302, 2017.

8.         G.-S. Xie, X.-Y. Zhang, W. Yang, M.-L. Xu, S. Yan, C.-L. Liu, LG-CNN: From local parts to global discrimination for fine-grained recognition, Pattern Recognition, 71: 118-131, 2017.

9.         G.-S. Xie, X.-Y. Zhang, S. Yan, C.-L. Liu, SDE: A novel selective, discriminative and equalizing feature representation for visual recognition, International Journal of Computer Vision (IJCV), 124(2): 145~168, 2017.

10.     G.-S. Xie, X.-Y. Zhang, S. Yan, C.-L. Liu, Hybrid CNN and Dictionary-Based Features for Scene Recognition and Domain Adaptation, IEEE Trans. Circuits and Systems for Video Technology, 27(6): 1263-1274, 2017.

11.     X. Chen, R.-X. Gong, L.-L. Xie, S. Xiang, C.-L. Liu, C. Pan, Building Regional Covariance Descriptors for Vehicle Detection, IEEE Geoscience and Remote Sensing Letters, 14(4): 524-528, 2017.

12.     X.-Y. Zhang, G.-S. Xie, C.-L. Liu, Y. Bengio, End-to-end online writer identification with recurrent neural network, IEEE Trans. Human-Machine Systems, 47(2): 285-292, 2017.

13.     Y.-C. Wu, F. Yin, C.-L. Liu, Improving Handwritten Chinese Text Recognition Using Neural Network Language Models and Convolutional Neural Network Shape Models, Pattern Recognition, 65: 251-264, 2017.

14.     H. Zhang, X.-Dong Zhou, C.-L. Liu, Keyword spotting from handwritten Chinese documents based on semi-Markov conditional random fields, Engineering Applications of Artificial Intelligence, 58: 49-61, 2017.

15.     X.-Y. Zhang, Y. Bengio, C.-L. Liu, New Benchmark for Online and Offline Handwritten Chinese Character Recognition with Deep Convolutional Network and Adaptation, Pattern Recognition, 61: 348-360, 2017.

16.     Y. Lu, K. Huang, C.-L. Liu, Doubly stochastic projected fixed-point algorithm for large graph matching, Pattern Recognition, 60: 971-982, 2016.

17.     X-C. Yin, Z.-Y. Zuo, S. Tian, C.-L. Liu, Text Detection, Tracking and Recognition in Video: A Comprehensive Survey, IEEE Trans. Image Processing, 25(6): 2752-2773, 2016.

18.     Y. Liu, Y. Zhang, X.-Y. Zhang, C.-L. Liu, Adaptive spatial pooling for image classification, Pattern Recognition, 55: 58-67, 2016.

19.     P. Wang, J. Xu, G. Tian, C.-L. Liu, H. Hao, Semantic expansion using word embedding clustering and convolutional neural network for improving short text classification, Neurocomputing, 174: 806-814, 2015.

20.     M.-K. Zhou, X.-Y. Zhang, F. Yin, C.-L. Liu, Discriminative quadratic feature learning for handwritten Chinese character recognition, Pattern Recognition, 49(1): 7-18, 2016.

21.     Z. Zhang, C.-L. Liu, M.-B. 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.

22.     X.-Y. Zhang, L. Wang, S. Xiang, C.-L. Liu, Retargeted least squares regression algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 2206-2213, 2015.

23.     Y.-M. Zhang, K. Huang, G.-G. Geng, C.-L. Liu, MTC: A fast and robust graph-based transductive learning algorithm, IEEE Trans. Neural Networks and Learning Systems, 26(9): 1979-1991, 2015.

24.     X.-Y. Zhang, P. Yang, Y.-M. Zhang, K. Huang, C.-L. Liu, Combination of clustering and classification results with label propagation, IEEE Signal Processing Letters, 21(5): 610-614, 2014.

25.     A. Delaye, C.-L. Liu, Multi-class segmentation of free-form online documents with tree conditional random fields, Int. J. Document Analysis and Recognition, 17: 313-329, 2014.

26.     Y.-M. Zhang, K. Huang, X. Hou, C.-L. Liu, Learning locality preserving graph from data, IEEE Trans. SMC Part B, 44(11): 2088-2098, 2014.

27.     D.-H. Wang, C.-L. Liu, Learning confidence transformation for handwritten Chinese text recognition, Int. J. Document Analysis and Recognition, 17(3): 205-219, 2014.

28.     X. Chen, S. Xiang, C.-L. Liu, C. Pan, Vehicle detection in satellite images by hybrid deep convolutional neural networks, IEEE Geoscience and Remote Sensing Letters, 11(10): 1797-1801, 2014.

29.     L. Xu, F. Yin, Q.-F. Wang, C.-L. 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.

30.     X.-D. Zhou, Y.-M. Zhang, F. Tian, H.-A. Wang, C.-L. Liu, Minimum-risk training for semi-Markov conditional random fields with application to handwritten Chinese/Japanese text recognition, Pattern Recognition, 47(5): 1880-1890, 2014.

31.     H. Zhang, D.-H. Wang, C.-L. Liu, Character confidence based on n-best list for keyword spotting in online Chinese handwritten documents, Pattern Recognition, 47(5): 1904-1916, 2014.

32.     B. Xu, K. Huang, I. King, C.-L. Liu, J. Sun, S. Naoi, Graphical Lasso quadratic discriminant function and its application to character recognition, Neurocomputing, 129: 33-40, 2014.

33.     A. Delaye, C.-L. Liu, Contextual text/non-text stroke classification in online handwritten notes with conditional random fields, Pattern Recognition, 47(3): 959-968, 2014.

34.     Q.-F. Wang, F. Yin, C.-L. Liu, Unsupervised language model adaptation for handwritten Chinese text recognition, Pattern Recognition, 47(3): 1202-1216, 2014.

35.     L. Huang, F. Yin, Q.-H. Chen, C.-L. Liu, Keyword spotting in unconstrained handwritten Chinese documents using contextual word model, Image and Vision Computing, 31(12): 958-968, 2013.

36.     G.-R. Park, I.-J. Kim, C.-L. Liu, An evaluation of statistical methods in handwritten Hangul recognition, Int. J. Document Analysis and Recognition, 16(3): 273-283, 2013.

37.     J. Chen, C. Zhang, X. Xue, C.-L. Liu, Fast instance selection for speeding up support vector machines, Knowledge-Based Systems, 45: 1-7, 2013.

38.     H. Zhang, D.-H. Wang, C.-L. Liu, H. 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.

39.     X.-D. Zhou, D.-H. Wang, F. Tian, C.-L. Liu, M. Nakagawa, Handwritten Chinese/Japanese text recognition using semi-Markov conditional random fields, IEEE Trans. Pattern Analysis and Machine Intelligence, 35(10): 2484-2497, 2013.

40.     P. Yang, K. Huang, C.-L. Liu, Geometry preserving multi-task metric learning, Machine Learning, 92(1): 133–175, 2013.

41.     F. Yin, Q.-F. Wang, C.-L. Liu, Transcript mapping for handwritten Chinese documents by integrating character recognition model and geometric context, Pattern Recognition, 46(10): 2807-2818, 2013.

42.     X.-Y. Zhang, C.-L. Liu, Evaluation of weighted Fisher criteria for large category dimensionality reduction in application to Chinese handwriting recognition, Pattern Recognition, 46(9): 2599-2611, 2013.

43.     H. Wang, A. Klaeser, C. Schmid, C.-L. Liu, Dense trajectories and motion boundary descriptors for action recognition, Int. J. Computer Vision, 103: 60-79, 2013.

44.     X.-Y. Zhang, C.-L. Liu, Writer adaptation with style transfer mapping, IEEE Trans. Pattern Analysis and Machine Intelligence, 35(7): 1773-1787, 2013.

45.     P. Yang, K. Huang, C.-L. Liu, A multi-task framework for metric learning with common subspace, Neural Computing and Applications, 22(7-8): 1337-1347, 2013.

46.     Q.-F. Wang, E. Cambria, C.-L. Liu, A. Hussain, Common sense knowledge for handwritten Chinese text recognition, Cognitive Computation, 5(2): 234-242, 2013.

47.     G. Zhong, C.-L. Liu, Error-correcting output codes based ensemble feature extraction, Pattern Recognition, 46(4): 1091-1100, 2013.

48.     C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, Online and offline handwritten Chinese character recognition: Benchmarking on new databases, Pattern Recognition, 46(1): 155-162, 2013.

49.     B. Xu, K. Huang, C.-L. Liu, Maxi-min discriminant analysis via online learning, Neural Networks, 34: 56-64, 2012.

50.     D.-H. Wang, C.-L. Liu, X.-D. Zhou, An approach for real-time recognition of online Chinese handwritten sentences, Pattern Recognition, 45(10): 3661-3675, 2012.

51.     Q.-F. Wang, F. Yin, C.-L. Liu, Handwritten Chinese text recognition by integrating multiple contexts, IEEE Trans. Pattern Analysis and Machine Intelligence, 34(8): 1469-1481, 2012.

52.     G. Zhong, K. Huang, C.-L. Liu, Joint learning of error-correcting output codes and dichotomizers from data, Neural Computation and Applications, 21: 715-724, 2012.

53.     Y.-F. Pan, X. Hou, C.-L. Liu, A hybrid approach to detect and localize texts in natural scene images, IEEE Trans. Image Processing, 20(3): 800-813, 2011.

54.     B. Zhu, X.-D. Zhou, C.-L. Liu, M. Nakagawa, A robust model for on-line handwritten Japanese text recognition, Int. J. Document Analysis and Recognition, 13(2): 121-131, 2010.

55.     X.-B. Jin, C.-L. Liu, X. Hou, Regularized margin-based conditional log-likelihood loss for prototype learning, Pattern Recognition, 43(7): 2428-2438, 2010.

56.     F. Yin, C.-L. Liu, Handwritten Chinese text line segmentation by clustering with distance metric learning, Pattern Recognition, 42(12): 3146-3157, 2009.

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

58.     X.-D. Zhou, D.-H. Wang, C.-L. Liu, A robust approach to text line grouping in online handwritten Japanese documents, Pattern Recognition, 42(9): 2077-2088, 2009.

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

60.     T.-F. Gao, C.-L. Liu, High accuracy handwritten Chinese character recognition using LDA-based compound distances, Pattern Recognition, 42(11): 3442-3451, 2008.

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

62.     R. Dai, C. Liu, B. Xiao, Chinese character recognition: history, status and prospects, Frontiers of Computer Science in China, 1(2): 126-136, 2007.

63.     C.-L. Liu, H. Sako, Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition, Pattern Recognition, 39(4): 669-681, 2006.

64.     C.-L. Liu, K. Marukawa, Pseudo two-dimensional shape normalization methods for handwritten Chinese character recognition, Pattern Recognition, 38(12): 2242-2255, 2005.

65.     C.-L. Liu, H. Sako, H. Fujisawa, Handwritten numeral string recognition: effects of character normalization and feature extraction, IEICE Trans. Information and Systems, E88-D(8): 1791-1798, 2005.

66.     C.-L. Liu, Classifier combination based on confidence transformation, Pattern Recognition, 38(1): 11-28, 2005.

67.     C.-L. Liu, H. Sako, H. 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.

68.     C.-L. Liu, H. Hao, H. Sako, Confidence transformation for combining classifiers, Pattern Analysis and Applications, 7(1): 2-17, 2004.

69.     C.-L. Liu, H. Sako, H. Fujisawa, Discriminative learning quadratic discriminant function for handwriting recognition, IEEE Trans. Neural Networks, 15(2): 430-444, 2004.

70.     C.-L. Liu, S. Jaeger, M. Nakagawa, Online handwritten Chinese character recognition: The state of the art, IEEE Trans. Pattern Analysis and Machine Intelligence, 26(2): 198-213, 2004.

71.     C.-L. Liu, K. Nakashima, H. Sako, H. Fujisawa, Handwritten digit recognition: Investigation of normalization and feature extraction techniques, Pattern Recognition, 37(2): 265-279, 2004.

72.     C.-L. Liu, K. Nakashima, H. Sako, H. Fujisawa, Handwritten digit recognition: Benchmarking of state-of-the-art techniques, Pattern Recognition, 36(10): 2271-2285, 2003.

73.     S. Jaeger, C.-L. Liu, M. 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.

74.     O. Velek, M. Nakagawa, C.-L. 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.

75.     C.-L. Liu, M. Koga, H. 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. This paper was reviewed in the Progress column of IEEE Spectrum (Feb. 2003, p.55).

76.     C.-L. Liu, H. Sako, H. Fujisawa, Performance evaluation of pattern classifiers for handwritten character recognition, Int. J. Document Analysis and Recognition, 4(3): 191-204, 2002.

77.     C.-L. Liu, I.-J. Kim, J.H. Kim, Model-based stroke extraction and matching for handwritten Chinese character recognition, Pattern Recognition, 34(12): 2339-2352, 2001.

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

79.     C.-L. Liu, M. Nakagawa, Precise candidate selection for large character set recognition by confidence evaluation, IEEE Trans. Pattern Analysis and Machine Intelligence, 22(6): 636-642, 2000.

80.     C.-L. Liu, J.H. Kim, R.-W. Dai, Multiresolution locally expanded HONN for handwritten numeral recognition, Pattern Recognition Letters, 18(10): 1019-1025, 1997.

 

International Conferences

1.         T.-B. Xu, C.-L. Liu, Data-distortion guided self-distillation for deep neural networks, Proc. 33th AAAI, Honolulu, Hawaii, USA, Jan. 27-Feb. 1, 2019.

2.         T.-Q. Wang, C.-L. Liu, DeepAD: A deep learning based approach to stroke-level abnormality detection in handwritten Chinese character recognition, Proc. ICDM 2018, Singapore, Nov. 17-20, 2018.

3.         J.-W. Wu, F. Yin, Y.-M. Zhang, X.-Y. Zhang, C.-L. Liu, Image-to-Markup Generation via Paired Adversarial Learning, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018.

4.         X.-H. Li, F. Yin, C.-L. Liu, Page object detection from PDF document images by deep structured prediction and supervised clustering, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.3627-2632, 2018.

5.         W. Feng, W.-H. He, F. Yin, C.-L. Liu, Scene text detection with recurrent instance segmentation, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.2227-2232, 2018.

6.         C. Wang, Y.-M. Zhang, C.-L. Liu, Anomaly detection via minimum likelihood generative adversarial networks, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.1121-1126, 2018.

7.         C. Wang, F. Yin, C.-L. Liu, Memory-augmented attention model for scene text recognition, Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.65-67.

8.         H.-M. Yang, X.-Y. Zhang, F. Yin, J. Sun, C.-L. Liu, Deep transfer mapping for unsupervised writer adaptation, Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.151-156.

9.         Y. Xu, F. Yin, Z. Zhang, C.-L. Liu, Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, IJCAI-ECAI-2018, Stockholm, Sweden, July 13-19, 2018.

10.     H.-M. Yang, X.-Y. Zhang, F. Yin, C.-L. Liu, Robust Classification with Convolutional Prototype Learning, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

11.     Z. Zhong, J. Yan, W. Wu, J. Shao, C.-L. Liu, Practical block-wise neural network architecture generation, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

12.     Y.-Y. Shen, X.-Y. Zhang, C.-L. Liu, Online semi-supervised learning with adaptive vector quantization, Proc. First International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), Montreal, Canada, 2018.

13.     X.-H. Li, F. Yin, C.-Lin Liu, Printed/Handwritten Texts and Graphics Separation in Complex Documents using Conditional Random Fields, 13th IAPR Int. Workshop on DAS, Vienna, Austria, April 24-27, 2018.

14.     X.-H. Yang, F. Yin, C.-L. Liu, Online Video Text Detection with Markov Decision Process, 13th IAPR Int. Workshop on DAS, Vienna, Austria, April 24-27, 2018.

15.     T.-Q. Wang, C.-L. Liu, Fully Convolutional  Network  Based  Skeletonization  for  Handwritten  Chinese  Character, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, February 2-7, 2018.

16.     W. Simayi, A. Hamdulla, C.-L. Liu, Holistic handwritten Uyghur word recognition using convolutional neural networks, Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, November 26-29, 2017, pp.846-851.

17.     G.-S. Liu, F. Yin, Z. Luo, C.-L. Liu, Fast Genre Classification of Web Images Using Global and Local Features, Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, November 26-29, 2017, pp.834-839.

18.     Z. Zhong, F. Yin, X.-Y. Zhang, C.-L. Liu, Handwritten Chinese Character Blind Inpainting with Conditional Generative Adversarial Nets, Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, November 26-29, 2017, pp.804-809.

19.     Z.-J. Xing, F. Yin, Y.-C. Wu, C.-L. Liu, Offline signature verification using convolution siamese network, Proceedings of the 9th International Conference on Graphic and Image Processing (ICGIP’2017), Qingdao, October 14-16, 2017.

20.     W. He, X.-Y. Zhang, F. Yin, C.-L. Liu, Deep direct regression for multi-oriented scene text detection, International Conference on Computer Vision (ICCV 2017), Venice, Italy, Oct. 22-29, 2017, pp.745-753.

21.     N. Nayef, F. Yin, I. Bizid, H. Choi, Y. Feng, D. Karatzas, et al., C.-L. Liu, J.-M. Ogier, ICDAR2017 Robust Reading Challenge on Multi-lingual Scene Text Detection and Script Identification – RRC-MLT, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.1454-1459.

22.     Z. Chen, Y. Wu, F. Yin, C.-L. Liu, Simultaneous Script Identification and Handwriting Recognition via Multi-Task Learning of Recurrent Neural Networks, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.525-530.

23.     X.-H. Yang, W. He, F. Yin, C.-L. Liu, A Unified Video Text Detection Method with Network Flow, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.332-337.

24.     T.-Q. Wang, F. Yin, C.-L. Liu, Radical-Based Chinese Character Recognition via Multi-Labeled Learning of Deep Residual Networks, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.579-584.

25.     H.-M. Yang, X.-Y. Zhang, F. Yin, C.-L. Liu, Handwriting Style Mixture Adaptation, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.998-1003.

26.     Y.-C. Wu, F. Yin, Z. Chen, C.-L. Liu, Handwritten Chinese Text Recognition Using Separable Multi-Dimensional Recurrent Neural Network, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.79-84.

27.     Y. Xu, W. He, F. Yin, C.-L. Liu, Page Segmentation for Historical Handwritten Documents Using Fully Convolutional Networks, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.541-546.

28.     C. Wang, F. Yin, C.-L. Liu, Scene Text Detection with Novel Superpixel Based Character Candidate Extraction, Proc. 14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.929-934.

29.     B.-R. Tan, F. Yin, Y.-C. Wu, C.-L. Liu, Chinese handwriting generation by neural network based style transformation, Proc. 9th Int. Conf. on Image and Graphics (ICIG), Shanghai, 2017.

30.     T.-B. Xu, P. Yang, X.-Y. Zhang, C.-L. Liu, Margin-aware binarized weight networks for image classification, Proc. 9th Int. Conf. on Image and Graphics (ICIG), Shanghai, 2017.

31.     G. Zhu, Z. Zhang, X.-Y. Zhang, C.-L. Liu, Diverse neuron type selection for convolutional neural networks, International Joint Conference on Artificial Intelligence (IJCAI-17), Melbourne, August 19-25, 2017. pp.3560-3566.

32.     J. Yang, C. Pan, C.-L. Liu, X. Jiang, Enhancement of Low Light Level Images with Regression Methods, Proc. 9th International Conference on Digital Image Processing (ICDIP 2017), Hong Kong, May 19-22, 2017.

33.     J. Yang, X. Jiang, C.-L. Liu, C. Pan, Enhancement of Low Light Level Images with Coupled Dictionary Learning, Proc. 23rd ICPR, 2016.

34.     W. He, Y. Luo, F. Yin, H. Hu, J. Han, E. Ding, C.-L. 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.

35.     J.-Y. Ye, Y.-M. Zhang, C.-L. 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.

36.     Z. Zhong, X.-Y. Zhang, F. Yin, C.-L. Liu, Handwritten Chinese Character Recognition with Spatial Transformer and Deep Residual Networks, Proc. 23rd ICPR, Cancun, Mexico, December 4-8, 2016, pp. 3429-3434.

37.     Y.-Y. Shen, C.-L. 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.

38.     H.-M. Yang, X.-Y. Zhang, F. Yin, Z. Luo, C.-L. Liu, Unsupervised adaptation of neural networks for Chinese handwriting recognition, Proc. 15th ICFHR, Shenzhen, China, October 23-26, 2016, pp.512-517.

39.     K. Chen, M. Seuret, M. Liwicki, J. Hennebert, C.-L. 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.

40.     T. Xu, G. Cheng, J. Yang, C.-L. Liu, Fast aircraft detection using end-to-end fully convolutional network, International Conference on Digital Signal Processing (DSP), Beijing, China, October 16-18, 2016, pp.139-143.

41.     Y. Wang, X.-Y. Zhang, Y. Zhang, X. Hou and C.-L Liu, Exploiting Coarse-to-Fine Mechanism for Fine-Grained Recognition, Proc. Int. Conf. Image Processing (ICIP), Phoenix, USA, September 25-28, 2016, pp.649-653.

42.     K. Chen, F. Yin, C.-L 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.

43.     Z. Zhang, Y. Xu, C.-L Liu, Natural Scene Character Recognition Using Robust PCA and Sparse Representation, Proc. 12th IAPR Workshop on DAS, 2016, pp.340-345.

44.     K. Chen, C.-L Liu, M. Seuret, H. 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.

45.     Y.-M. Zhang, X.-Y. Zhang, X.-T. Yuan, C.-L Liu, Large-Scale Graph-based Semi-Supervised Learning via Tree Laplacian Solver, AAAI 2016, Phoenix, Arizona, USA.

46.     G.-S. Xie, X.-Y. Zhang, X. Shu, S. Yan, C.-L Liu, Task-Driven Feature Pooling for Image Classification, ICCV 2015, Santiago, Chile.

47.     D. Wang, X. Hou, C.-L Liu, Traffic Sign Detection from Video: A Fast Approach with Tracking, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015.

48.     X. He, Y.-C. Wu, K. Chen, F. Chen, C.-L Liu, Neural Network Based Over-Segmentation for Scene Text Recognition, Proc. 3rd ACPR, Kuala Lumpur, Malaysia, 2015.

49.     Y.-C. Wu, F. Yin, C.-L Liu, Evaluation of neural network language models in handwritten Chinese text recognition, Proc. 13th ICDAR, Nancy, France, 2015, pp.166-170.

50.     K. Chen, F. Yin, A. Hussain, C.-L Liu, Efficient text localization in born-digital images by local contrast-based segmentation, Proc. 13th ICDAR, Nancy, France, 2015, pp.291-295.

51.     F. Yin, P. Liu, L. Huang, C.-L Liu, Lexicon-driven recognition of one-stroke character strings in visual gesture, Proc. 13th ICDAR, Nancy, France, 2015, pp.421-425.

52.     P. Wang, J. Xu, B. Xu, C.-L Liu, H. Zhang, F. Wang, H. Hao, Word embedding clustering and convolutional neural network for short text categorization, ACL-IJCNLP 2015, Beijing, China, 2015.

53.     D. Wang, S. Yue, J. Xu, X. Hou, C.-L Liu, A saliency-based cascade method for fast traffic sign detection, IEEE Intelligent Vehicles Symposium, Seoul, Korea, 2015, pp.180-185.

54.     G.-S. Xie, X.-Y. Zhang, C.-L. Liu, Efficient feature coding based on auto-encoder network for image classification, Proc. ACCV 2014, Singapore, 2014.

55.     B.-Y. Feng, M. Ren, X.-Y. Zhang, C.-L. 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.

56.     Y.-C. Wu, F. Yin, C.-L. Liu, Evaluation of geometric context models for handwritten numeral string recognition, Proc. 14th ICFHR, Crete Island, Greece, 2014, pp.193-198.

57.     M.-K. Zhou, X.-Y. Zhang, F. Yin, C.-L. Liu, Improving handwritten Chinese character recognition with discriminative quadratic feature extraction, Proc. 22nd ICPR, Stockholm, 2014, pp.244-249.

58.     G.-S. Xie, X.-Y. Zhang, Y.-M. Zhang, C.-L. Liu, Integrating supervised subspace criteria with restricted Boltzmann machine for feature extraction, Proc. 2014 IJCNN, Beijing, pp.1622-1629.

59.     B. Bai, F. Yin, C.-L. Liu, A seed-based segmentation method for scene text extraction, Proc. 11th IAPR Workshop on DAS, Tours, France, 2014, pp.262-266.

60.     X.-Y. Zhang, K. Huang, C.-L. Liu, Feature transformation with class conditional decorrelation, Proc. 13th ICDM, Dallas, 2013, pp.887-896.

61.     X. Chen, S. Xiang, C.-L. Liu, C. Pan, Vehicle detection in satellite images by parallel deep convolutional neural networks, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.181-185.

62.     X. Chen, S. Xiang, C.-L. Liu, C. Pan, Aircraft detection by deep belief nets, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.54-58.

63.     Y. Liu, X. Hou, C.-L. Liu, A compact spatial feature representation for image classification, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.601-605.

64.     X.-J. Jin, Q.-F. Wang, X. Hou, C.-L. Liu, Visual gesture character string recognition by classification-based segmentation with stroke deletion, Proc. 2nd ACPR, Okinawa, Japan, 2013, pp.120-124.

65.     Y.-M. Zhang, K. Huang, G. Geng, C.-L. Liu, Fast kNN graph construction with locality sensitive hashing, Machine Learning and Knowledge Discovery in Databases, LNCS Vol.8190, Springer, 2013, pp.660-674.

66.     B. Bai, F. Yin, C.-L. Liu, Scene text localization using gradient local correlation, Proc. 12th ICDAR, Washington D.C., 2013, pp.1412-1416.

67.     F. Yin, Q.-F. Wang, X.-Y. Zhang, C.-L. Liu, ICDAR 2013 Chinese handwriting recognition competition, Proc. 12th ICDAR, Washington D.C., 2013, pp.1095-1101.

68.     F. Yin, M.-K. Zhou, Q.-F. Wang, C.-L. Liu, Style consistent perturbation for handwritten Chinese character recognition, Proc. 12th ICDAR, Washington D.C., 2013, pp.1051-1055.

69.     A. Delaye, C.-L. Liu, Graphics extraction from heterogeneous online documents with hierarchical random fields, Proc. 12th ICDAR, Washington D.C., 2013, pp.1007-1011.

70.     K. Chen, F. Yin, C.-L. Liu, Hybrid page segmentation with efficient whitespace rectangles extraction and grouping, Proc. 12th ICDAR, Washington D.C., 2013, pp.958-962.

71.     X.-D. Zhou, F. Tian, C.-L. Liu, 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.

72.     M.-K. Zhou, F. Yin, C.-L. 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.

73.     H. Zhang, X.-D. Zhou, C.-L. 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.

74.     Y.-F. Lv, Lin-Lin Huang, D.-H. Wang, C.-L. 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.

75.     X.-Y. Zhang, C.-L. Liu, Locally smoothed modified quadratic discriminant function, Proc. 12th ICDAR, Washington D.C., 2013, pp.8-12.

76.     Z. Zhang, C.-L. Liu, M. Zhao, Handwriting representation and recognition through a sparse projection and low-rank recovery framework, Proc. IJCNN 2013, Dallas, 2013.

77.     Y. Lu, H. Bunke, C.-L. 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.

78.     A. Delaye, C.-L. Liu, Context modeling for text/non-text separation in free-form online handwritten documents, Document Recognition and Retrieval XX, 2013.

79.     Y. Liu, X.-Y. Zhang, K. Huang, X. Hou, C.-L. Liu, Multiple outlooks learning with support vector machines, Proc. ICONIP 2012, LNCS Vol.7665, pp.116-124.

80.     P. Yang, X.-Y. Zhang, K. Huang, C.-L. Liu, Manifold regularized multi-task learning, Proc. ICONIP 2012, LNCS Vol.7665, pp.528-536.

81.     A. Lu, X. Hou, C.-L. Liu, X. Chen, Insect species recognition using discriminative local soft coding, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.1221-1224.

82.     D.-H. Wang, C.-L. Liu, String-level learning of confidence transformation for Chinese handwritten text recognition, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.3208-3211.

83.     H. Zhang, D.-H. Wang, C.-L. Liu, A confidence-based method for keyword spotting in online Chinese handwritten documents, Proc. 21th ICPR, Tsukuba, Japan, 2012, pp.525-528.

84.     P. Yang, K. Huang, C.-L. Liu, Geometry preserving multi-task metric learning, ECML PKDD 2012, LNCS Vol.7523, pp.648-664.

85.     X.-Y. Zhang, C.-L. Liu, Confused distance maximization for large category dimensionality reduction, Proc. 13th ICFHR, Bari, Italy, 2012, pp.213-218.

86.     L. Xu, F. Yin, Q.-F. Wang, C.-L. Liu, A touching character database from Chinese handwriting for assessing segmentation algorithms, Proc. 13th ICFHR, Bari, Italy, 2012, pp.89-94.

87.     B. Bai, F. Yin, C.-L. Liu, A fast stroke-based method for text detection in video, Proc. DAS, 2012, Gold Coast, Australia, pp.69-73.

88.     Q.-F. Wang, F. Yin, C.-L. Liu, Improving handwritten Chinese text recognition by unsupervised language model adaptation, Proc. DAS, 2012, Gold Coast, Australia, pp.110-114.

89.     M. Khayyat, L. Lam, C.Y. Suen, F. Yin, C.-L. Liu, Arabic handwritten text line extraction by applying an adaptive mask to morphological dilation, Proc. DAS, 2012, Gold Coast, Australia, pp.100-104.

90.     Y.-M. Zhang, K. Huang, C.-L. Liu, Fast and robust graph-based transductive learning via minimum tree cut, Proc. Int. Conf. on Data Mining (ICDM), Vancouver, Canada, 2011.

91.     G. Zhong, K. Huang, C.-L. Liu, Low rank metric learning with manifold regularization, Proc. Int. Conf. on Data Mining (ICDM), Vancouver, Canada, 2011.

92.     X.-H. Liu, C.-L. Liu, Discriminative model selection for Gaussian mixture models for classification, Proc. First Asian Conference on Pattern Recognition (ACPR), Beijing, China, 2011, pp.62-66.

93.     J. Chen, C.-L. 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.

94.     P. Yang, K. Huang, C.-L. 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.

95.     B. Xu, K. Huang, I. King, C.-L. Liu, J. Sun, S. Naoi, Graphical Lasso quadratic discriminant function for character recognition, Proc. ICONIP 2011, Shanghai, China, 2011, Part II, LNCS Vol. 7064, Springer, pp.747-755.

96.     J. Chen, C.-L. 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.

97.     C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, CASIA online and offline Chinese handwriting databases, Proc. 11th ICDAR, Beijing, China, 2011, pp.37-41.

98.     X.-D. Zhou, F. Yin, D.-H. Wang, Q.-F. Wang, M. Nakagawa, C.-L. Liu, Transcript Mapping for Handwritten Text Lines Using Conditional Random Fields, Proc. 11th ICDAR, Beijing, China, 2011, pp.58-62.

99.     L. Huang, F. Yin, Q.-H. Chen, C.-L. Liu, Keyword Spotting in offline Chinese handwritten documents using a statistical model, Proc. 11th ICDAR, Beijing, China, 2011, pp.78-82.

100. Q.-F. Wang, F. Yin, C.-L. Liu, Improving handwritten Chinese text recognition by confidence transformation, Proc. 11th ICDAR, Beijing, China, 2011, pp.518-522.

101. L. Xu, F. Yin, C.-L. Liu, Touching character separation in Chinese handwriting using visibility-based foreground analysis, Proc. 11th ICDAR, Beijing, China, 2011, pp.859-863.

102. D.-H. Wang, C.-L. 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.

103. H. Zhang, C.-L. Liu, A lattice-based method for keyword spotting in online Chinese handwriting, Proc. 11th ICDAR, Beijing, China, 2011, pp.1064-1068.

104. T.-H. Su, C.-L. Liu, Perceptron learning of modified quadratic discriminant function, Proc. 11th ICDAR, Beijing, China, 2011, pp.1007-1011.

105. C.-L. Liu, F. Yin, Q.-F. Wang, D.-H. Wang, ICDAR 2011 Chinese handwriting recognition competition, Proc. 11th ICDAR, Beijing, China, 2011, pp.1464-1469.

106. X.-Y. Zhang, K. Huang, C.-L. Liu, Pattern field classification with style normalized transformation, Proc. IJCAI 2011, Barcelona, Spain, pp.1621-1626.

107. X.-Y. Zhang, C.-L. Liu, Style transfer matrix learning for writer adaptation, Proc. CVPR 2011, Colorado Springs, USA, pp.393-398.

108. H. Wang, A. Kläser, C. Schmid, C.-L. Liu, Action recognition by dense trajectories, Proc. CVPR 2011, Colorado Springs, USA, pp.3169-3176.

109. G. Zhong, K. Huang, C.-L. Liu, Learning ECOC and dichotomizers jointly from data, Neural Information Processing: Theory and Algorithms - ICONIP 2010, LNCS Vol.6443, Springer, 2010, pp.494-502.

110. C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, Online and offline handwritten Chinese character recognition: benchmarking on new databases, Proc. 2nd CJKPR Joint Workshop on Pattern Recognition (CJKPR2010), Fukuoka, Japan, 2010, pp.197-202.

111. D.-H. Wang, C.-L. Liu, An approach to real-time recognition of online handwritten Chinese sentences, Proc. 2nd CJKPR Joint Workshop on Pattern Recognition (CJKPR2010), Fukuoka, Japan, 2010, pp.203-208.

112. F. Yin, Q.-F. Wang, C.-L. Liu, Integrating geometric context for text alignment of handwritten Chinese documents, Proc. 12th ICFHR, Kolkata, India, 2010, pp.7-12.

113. T.-H. Su, C.-L. Liu, Improving HMM-based Chinese handwriting recognition using Delta features and synthesized string samples, Proc. 12th ICFHR, Kolkata, India, 2010, pp.78-83.

114. H. Zhang, D.-H. Wang, C.-L. Liu, Keyword spotting from online Chinese handwritten documents using one-vs-all trained character classifier, Proc. 12th ICFHR, Kolkata, India, 2010, pp.271-276.

115. X.-D. Zhou, D.-H. Wang, M. Nakagawa, C.-L. Liu, Error reduction by confusing characters discrimination for online handwritten Japanese character recognition, Proc. 12th ICFHR, Kolkata, India, 2010, pp.495-500.

116. L.-L. Ma, A. Delaye, C.-L. Liu, Special radical detection by statistical classification for on-line handwritten Chinese character recognition, Proc. 12th ICFHR, Kolkata, India, 2010, pp.501-506.

117. B. Xu, K. Huang, C.-L. Liu, Similar characters recognition by critical region selection based on average symmetric uncertainty, Proc. 12th ICFHR, Kolkata, India, 2010, pp.527-532.

118. Y.-F. Pan, C.-L. Liu, X. Hou, Fast scene text localization by learning-based filtering and verification, Proc. Int. Conf. Image Processing (ICIP), Hong Kong, 2010, pp.2269-2272.

119. A. Lu, X. Hou, X. Chen, C.-L. Liu, Insect species recognition using sparse representation, Proc. BMVC 2000, Aberystwyth, UK, 2010.

120. X.-H. Liu, C.-L. 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.

121. K. Huang, R. Jin, Z. Xu, C.-L. Liu, Robust metric learning with smooth optimization, Proc. 26th Int. Conf. Uncertainty in Artificial Intelligence (UAI), Catalina Island, CA, 2010.

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

123. B. Xu, K. Huang, C.-L. Liu, Dimensionality reduction by minimal distance maximization, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.569-572.

124. X.-B. Jin, X. Hou, C.-L. Liu, Multi-class AdaBoost with hypothesis margin, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.65-68.

125. H. Wang, X. Hou, C.-L. Liu, Boosting incremental semi-supervised discriminant analysis for tracking, Proc. 20th ICPR, Istanbul, Turkey, 2010, pp.2748-2751.

126. Y.-M. Zhang, Y. Zhang, D.-Y. Yeung, C.-L. Liu, X. Hou, Transductive learning on adaptive graphs, Proc. 24th AAAI Conference on Artificial Intelligence, 2010, pp.661-666.

127. G. Zhong, W.-J. Li, D.-Y. Yeung, X. Hou, C.-L. Liu, Gaussian process latent random field, Proc. 24th AAAI Conference on Artificial Intelligence, 2010, pp.679-684.

128. M.-B. Wang, C.-L. Liu, Class selection based iterative supervised latent semantic indexing for text categorization, Proc. Int. Conf. Information Engineering and Computer Science (ICIECS), Wuhan, 2009.

129. G. Zhong, X. Hou, C.-L. 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.

130. L.-L. Ma, C.-L. 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.

131. H. Wang, X. Hou, C.-L. Liu, Object tracking by bidirectional learning with feature selection, ICIP2009, Cairo, Egypt, 2009.

132. Y.-M. Zhang, X. Hou, S. Xiang, C.-L. Liu, Subspace regularization: a new semi-supervised learning method, ECML PKDD2009, Bled, Slovenia, LNCS Vol.5782, Springer, 2009, pp.586-601.

133. Y.-F. Pan, X. Hou, C.-L. Liu, Text localization in natural scene images based on conditional random field, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.6-10.

134. F. Yin, C.-L. Liu, A variational Bayes method for handwritten text line segmentation, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.436-440.

135. B. Zhu, X.-D. Zhou, C.-L. Liu, M. Nakagawa, Effect of improved path evaluation for on-line handwritten Japanese text recognition, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.516-520.

136. X.-D. Zhou, C.-L. Liu, M. Nakagawa, Online handwritten Japanese character string recognition using conditional random fields, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.521-525.

137. F. Yin, Q.-F. Wang, C.-L. 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.

138. Q.-F. Wang, F. Yin, C.-L. Liu, Integrating language model in handwritten Chinese text recognition, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.1036-1040.

139. D.-H. Wang, C.-L. Liu, Jin-Lun Yu, X.-D. Zhou, CASIA-OLHWDB1: A database of online handwritten Chinese characters, Proc. 10th ICDAR, Barcelona, Spain, 2009, pp.1206-1210.

140. B. Zhu, X.-D. Zhou, C.-L. Liu, M. Nakagawa, A robust model for on-line handwritten Japanese text recognition, Document Recognition and Retrieval XVI, Proc. SPIE, Vol.7247, 2009.

141. L.-L. Ma, C.-L. Liu, A new radical-based approach to online handwritten Chinese character recognition, Proc. 19th ICPR, Tampa, USA, 2008.

142. X.-B. Jin, C.-L. Liu, X. Hou, Prototype learning by margin-based conditional log-likelihood loss, Proc. 19th ICPR, Tampa, USA, 2008.

143. T.-F. Gao, C.-L. Liu, Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition, Proc. 19th ICPR, Tampa, USA, 2008.

144. T.-H. Su, T.-W. Zhang, H.-J. Huang, C.-L. Liu, Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting, Proc. 19th ICPR, Tampa, USA, 2008.

145. C.-L. Liu, C.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.

146. F. Yin, C.-L. Liu, Handwritten text line segmentation by clustering with distance metric learning, Proc. 11th ICFHR, Montreal, Canada, Aug. 2008, p.229-234.

147. X.-D. Zhou, D.-H. Wang, C.-L. 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.

148. Y.-F. Pan, X. Hou, C.-L. 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.

149. C.-L. 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.

150. X.-H. Liu, C.-L. Liu, X. Hou, A pooled subspace mixture density model for pattern classification in high-dimensional spaces, Proc. IJCNN 2008, Hong Kong, pp.2467-2472.

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

152. F. Yin, C.-L. 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.

153. X.-B. Jin, X. Hou, C.-L. 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.

154. X.-D. Zhou, J.-L. Yu, C.-L. Liu, Takeshi Nagasaki, K. Marukawa, Online handwritten Japanese character string recognition incorporating geometric context, Proc. 9th ICDAR, Curitiba, Brazil, 2007, Vol.1, pp.48-52.

155. X.-D. Zhou, C.-L. 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.

156. T.-F. Gao, C.-L. Liu, LDA-based compound distance for handwritten Chinese character recognition, Proc. 9th ICDAR, Curitiba, Brazil, 2007, Vol.2, pp.904-908.

157. S. Wang, C.-L. Liu, L. Zheng, Feature selection by combining Fisher criterion and principal feature analysis, Proc. ICMLC 2007, Hong Kong, Vol.2, pp.1149-1154.

158. S. Andra, G. Nagy, C.-L. 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.

159. C.-L. 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)

160. C.-L. Liu, X.-D. Zhou, Online Japanese character recognition using trajectory-based normalization and direction feature extraction, Proc. 10th IWFHR, La Baule, France, 2006, pp.217-222.

161. C.-L. 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.

162. C.-L. 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.

163. X. Hou, C.-L. Liu, Tieniu Tan, Learning boosted asymmetric classifiers for object detection, Proc. CVPR 2006, New York, Vol.1, pp.330-338.

164. C.-L. Liu, R. Mine, M. Koga, Building compact classifier for large character set recognition using discriminative feature extraction, Proc. 8th ICDAR, Seoul, Korea, 2005, pp.846-850.

165. C.-L. Liu, M. Koga, H. Fujisawa, Gabor feature extraction for character recognition: Comparison with gradient feature, Proc. 8th ICDAR, Seoul, Korea, 2005, pp.121-125.

166. C.-L. Liu, H. 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.

167. C.-L. Liu, K. Marukawa, Normalization ensemble for handwritten character recognition, Proc. 9th IWFHR, Tokyo, 2004, pp.69-74.

168. C.-L. Liu, K. Marukawa, H. Sako, H. Fujisawa, Global shape normalization for handwritten Chinese character recognition: a new method, Proc. 9th IWFHR, Tokyo, 2004, pp.300-305.

169. C.-L. Liu, K. Marukawa, Handwritten numeral string recognition: Character-level training vs. string-level training, Proc. 17th ICPR, Cambridge, UK, 2004, Vol.1, pp.405-408.

170. C.-L. Liu, H. Sako, H. Fujisawa, Handwritten Chinese character recognition: Alternatives to nonlinear normalization, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.524-528.

171. H. Hao, C.-L. Liu, H. Sako, Confidence evaluation for combining diverse classifiers, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.760-764.

172. H. Hao, C.-L. Liu, H. Sako, Comparison of sequential search methods and genetic algorithm for classifier selection, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.765-769.

173. H. Fujisawa, C.-L. Liu, Directional pattern matching for character recognition revisited, Proc. 7th ICDAR, Edinburgh, Scotland, 2003, pp.794-798.

174. C.-L. Liu, H. Sako, H. Fujisawa, Learning quadratic discriminant function for handwritten character recognition, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. IV, pp.44-47.

175. O. Velek, C.-L. Liu, S. Jaeger, M. Nakagawa, An improved approach to generating Kanji images from on-line characters, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. I, pp.588-591.

176. S. Veeramachaneni, H. Fujisawa, C.-L. Liu, G. Nagy, Style-conscious quadratic field classifier, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. II, pp.72-75.

177. C.-L. Liu, H. Sako, H. Fujisawa, Integrated segmentation and recognition of handwritten numerals: Comparison of classification algorithms, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.303-308.

178. S. Veeramachaneni, G. Nagy, C.-L. Liu, H. Fujisawa, Classifying isogenous fields, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.41-46.

179. S. Jaeger, M. Nakagawa, C.-L. 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.

180. C.-L. Liu, K. Nakashima, H. Sako, H. Fujisawa, Handwritten digit recognition using state-of-the-art techniques, Proc. 8th IWFHR, Ontario, Canada, 2002, pp.320-325.

181. C.-L. Liu, M. Koga, H. Fujisawa, Lexicon-driven handwritten character string recognition for Japanese address reading, Proc. 6th ICDAR, Seattle, USA, 2001, pp.877-881.

182. O. Velek, C.-L. Liu, M. Nakagawa, Generating realistic Kanji character images from on-line patterns, Proc. 6th ICDAR, Seattle, USA, 2001, pp.556-560.

183. C.-L. Liu, M. Koga, H. Sako, H. 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.

184. C.-L. Liu, M. Nakagawa, Prototype learning algorithms for nearest neighbor classification with application to handwritten character recognition, Proc. 5th ICDAR, Bangalore, India, 1999, pp.378-381.

185. C.-L. Liu, M. Nakagawa, Handwritten numeral recognition using neural networks: Improving the accuracy by discriminative training, Proc. 5th ICDAR, Bangalore, India, 1999, pp.257-260.

186. I.-J. Kim, C.-L. Liu, J.H. Kim, Stroke-guided pixel matching for handwritten Chinese character recognition, Proc. 5th ICDAR, Bangalore, India, 1999, pp.665-668.

187. C.-L. Liu, I.-J. Kim, J.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.

188. C.-L. Liu, M. Nakagawa, A probabilistic model for precise candidate selection in large character set recognition, Proc. 6th IWFHR, Taejon, Korea, 1998, pp.259-268.

189. C.-L. Liu, I.-J. Kim, J.H. Kim, High accuracy handwritten Chinese character recognition by improved feature matching method, Proc. 4th ICDAR, Ulm, Germany, 1997, pp.1033-1037.

190. C.-L. Liu, Y.-J. Liu, R.-W. Dai, Multiresolution statistical and structural feature extraction for handwritten numeral recognition, Proc. 5th IWFHR, Colchester, UK, 1996, pp.61-66.

191. C.-L. Liu, R.-W. Dai, Y.-J. Liu, Extracting individual features from moments for Chinese writer identification, Proc. 3rd ICDAR, Montreal, Canada, 1995, pp.438-441.

192. C.-L. Liu, Hong-Wei Hao, Y.-J. Liu, Handwritten numeral recognition by spatial filtering and neural networks, Proc. ICNNSP, Nanjing, China, 1995.

 

Domestic Journals

1.         G. Liu, W. Zhong, F. Yin, C. Liu, Fast classification of natural scene and born-digital images, Chinese Journal of Image and Graphics, 22(5): 678-687, 2017.

2.         Y. Zeng, C.-L. Liu, T. Tan, Retrospect and outlook of brain-inspired intelligence research, Chinese Journal of Computers, 39(1): 212-222, 2016.

3.         G. Yu, F. Yin, Y. Chen, C.-L. Liu, Fast keyword spotting in handwritten Chinese documents using index, Pattern Recognition and Artificial Intelligence, 28(11): 1033-1040, 2015.

4.         M. Ibrahim, H. Zhang, C.-L. Liu, A. Hamdulla, A method for online handwritten Uyghur character recognition, Chinese Journal of Pattern Recognition and Artificial Intelligence, 25(6): 979-986, 2012.

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

6.         J.-L. Yu, X.-D. Zhou, C.-L. Liu, Path search strategies for handwritten Character string recognition, Chinese Journal of Pattern Recognition and Artificial Intelligence, 22(2): 182-187, 2009.

7.         X.-L. Chen, X. Hou, C.-L. Liu, X.-Q. Liu, Z.-B. Zhang, Advances in the automated insect image identification, Chinese Bulletin of Entomology, 45(2): 317-322, 2008.

8.         C.-L. Liu, T. Tan, Advances in pattern recognition research, Communications of CCF, 2007, no.12, pp.45-52.

9.         C.-L. Liu, R.-W. Dai, Y.-J. Liu, Modified Wigner distribution with application to writer identification, Chinese Journal of Computers, 20(11): 1018-1023, 1997.

10.     C.-L. Liu, Y.-J. Liu, R.-W. Dai, Writer identification by mutichannel decomposition and matching, Acta Automatica Sinica, 23(1): 56-63, 1997.

11.     C.-L. Liu, R.-W. Dai, Y.-J. Liu, Preprocessing and matching of character images for writer identification, Journal of Chinese Information Processing, 10(3): 50-57, 1996.

 

Domestic Conferences

1.        Q. Qiu, Y. Feng, F. Yin, C.-L. Liu, A flattened maximally stable extremal region method for scene text detection, IGTA 2017: Advances in Image and Graphics Technologies, Beijing, China, CCIS Vol. 757, Springer, pp.252-262, 2017.

2.        G.-S. Liu, W. Zhong, F. Yin, C.-L. Liu, Fast classification of natural scene images and born-digital images, Chinese Conference on Images and Graphics, Nanning, 2016.

3.        X. Liu, Y. Zhang, C. 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.

4.        Delaye, C.-L. 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.

5.        M. Ibrahim, H. Zhang, C.-L. Liu, A. 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.

6.        C.-L. Liu, F. Yin, D.-H. Wang, Q.-F. Wang, Chinese Handwriting Recognition Contest 2010, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

7.        L. Xu, F. Yin, C.-L. Liu, Touching character splitting of Chinese handwriting using contour analysis and DTW, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

8.        Y.-F. Pan, C.-L. Liu, Performance evaluation for text localization algorithms: an empirical study, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.

9.        J.-L. Yu, X.-D. Zhou, C.-L. Liu, Search strategies in online handwritten character string recognition, Proc. 2007 Chinese Conference on Pattern Recognition (CCPR), Beijing, 2007, pp.299-305.

10.    C.-L. Liu, R. Dai, Y. Liu, Hidden Markov models with application to character recognition, Proc. 5th Symposium on Chinese Character and Speech Recognition, Chengdu, 1994.

 

 

Updated 2019.02.22