publications of cheng-lin liu
TRANSCRIPT
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Publications of Cheng-Lin Liu
International Journals
International Conferences
Domestic Journals
Domestic Conferences
Others
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
6. 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.
7. 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.
8. 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
9. Y. Peng, Q. Liu, H. Lu, Z. Sun, C. Liu, C. Chen, H. Zha, J. Yang, Pattern Recognition and Computer
Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, Oct. 16-18, 2020, Part 1-III, LNCS,
Vol.12305-12307, Springer, 2020. https://www.springer.com/cn/book/9783030606350
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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, Giuseppe 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, 87: 1-3, 2017.
5. Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang, Special Issue of
BICS 2016, Cognitive Computation, 10: 282-283, 2018.
6. Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin, Special issue on deep learning for
document analysis and recognition, Int. J. Document Analysis and Recognition, 21(3), 2018.
7. Cheng-Lin Liu, Jian Yang, Special Issue: Selected Papers from the 4th Asian Conference on Pattern
Recognition (ACPR 2017), CAAI Trans. Intelligence Technology, 3(3), 2018.
8. Zhi-Yong Liu, Kai-Zhu Huang, Xu Yang, Cheng-Lin Liu, Special Issue on Advances in Graph
Algorithm and Applications, Neurocomputing, 2018.
9. Cheng-Lin Liu, Chen Gong, Jin Xie, Dong-Jun Yu, Jian Yang, Dacheng Tao, Special Section on
Advances in Representation Learning, Pattern Recognition, Vol. 87, 2019.
10. Cheng-Lin Liu, Andreas Dengel, Rafael Lins, Special Issue on Advanced Topics in Document Analysis
and Recognition, Int. J. Document Analysis and Recognition, 22(3): 2019.
11. Pasquale Foggia, Mario Vento, Cheng-Lin Liu, Special issue on Applications of graph-based techniques
to pattern recognition, Pattern Recognition Letters, 134: 1-2, 2020.
12. Michael Blumenstein, Seiichi Uchida, Cheng-Lin Liu, Topic Selection on Document Analysis and
Recognition, SN Computer Science, 2020.
13. Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Special Issue on Recent
Advances in Cognitive Learning and Data Analysis, Cognitive Computation, 2020.
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.),
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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.
7. Xu-Yao Zhang, Yi-Chao, Fei Yin, Cheng-Lin Liu, Deep learning based handwritten Chinese character
and text recognition, In: K. Huang, A. Hussain, Q.-F. Wang, R. Zhang (Eds.), Deep Learning:
Fundamentals, Theory and Applications, Springer, 2019, pp.58-88.
8. Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu, Bags of tricks for 3D MRI brain tumor
segmentation, In: Alessandro Crimi and Spyridon Bakas (Eds.), Brainlession: Glioma, Multiple
Sclerosis, Stroke and Traumatic Brain Injuries (5th International Workshop, BrainLes 2019), LNCS
11992, Springer, 2020, pp.210-220.
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:
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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.
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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.
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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. 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.
62. Yufang Wu, Heng Zhang, Bo Xu, Hongwei Hao, Chenglin Liu, TR-LDA: A cascade key-bigram
extractor for microblog summarization, Int. J. Machine Learning and Computing, 5(3): 172-178, 2015.
63. 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.
64. Yinglu Liu, Yanming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Adaptive spatial pooling for image
classification, Pattern Recognition, 55: 58-67, 2016.
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65. 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.
66. Yao Lu, Kaizhu Huang, Cheng-Lin Liu, Doubly stochastic projected fixed-point algorithm for large
graph matching, Pattern Recognition, 60: 971-982, 2016.
67. 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.
68. 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.
69. 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.
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. Xueyun Chen, Ren-Xi Gong, Ling-Ling Xie, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Building
regional covariance descriptors for vehicle detection, IEEE Geoscience and Remote Sensing Letters,
14(4): 524-528, 2017.
72. 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. Circuits and Systems for Video
Technology, 27(6): 1263-1274, 2017.
73. 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), 124(2): 145~168, 2017.
74. Guo-Sen Xie, Xu-Yao Zhang, Wenhan Yang, Ming-Liang Xu, Shuicheng Yan, Cheng-Lin Liu, LG-
CNN: From local parts to global discrimination for fine-grained recognition, Pattern Recognition, 71:
118-131, 2017.
75. 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, 18(12): 3290-3302, 2017.
76. Xu-Yao Zhang, Fei Yin, Yan-Ming Zhang, Cheng-Lin Liu, Yoshua Bengio, Drawing and recognizing
chinese characters with recurrent neural network, IEEE Trans. Pattern Analysis and Machine
Intelligence, 40(4): 849-862, 2018.
77. Yuan-Yuan Shen, Cheng-Lin Liu, Incremental Adaptive Learning Vector Quantization for Character
Recognition with Continuous Style Adaptation, Cognitive Computation, 10: 334-346, 2018.
78. Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Multi-oriented and multi-lingual scene text
detection with direct regression, IEEE Trans. Image Processing, 27(11): 5406-5419, 2018.
79. Guo-Shuai Liu, Rui-Qi Wang, Fei Yin, Jean-Marc Ogier, Cheng-Lin Liu, Fast genre classification of
web images using global and local features, CAAI Trans. Intelligence Technology, 3(3): 161-168, 2018.
80. Hanyang Peng, Cheng-Lin Liu, Discriminative feature selection via employing smooth and robust hinge
loss, IEEE Trans. Neural Networks and Learning Systems, 30(3): 788-802, 2019.
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81. Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu, LightweightNet: Toward fast and
lightweight convolutional neural networks via architecture distillation, Pattern Recognition, 88: 272-
284, 2019.
82. Zhao Zhong, Zichen Yang, Wentao Feng, Wei Wu, Yangyang Hu, Cheng-Lin Liu, Decision controller
for object tracking with deep reinforcement learning, IEEE Access, 7: 28069-28079, 2019.
83. Haiqing Ren, Weiqiang Wang, Chenglin Liu, Recognizing online handwritten Chinese characters using
RNNs with new computing architectures, Pattern Recognition, 93: 179-192, 2019.
84. Wen-Hao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu, Real-time multi-
scale scene text detection with scale-based region proposal network, Pattern Recognition, 98: 107026,
2020.
85. Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang, Discriminative structure learning of sum-
product networks for data stream classification, Neural Networks, 123: 163-175, 2020.
86. Yunxue Shao, Cheng-Lin Liu, Teaching machines to write like humans using L-attributed grammar,
Engineering Applications of Artificial Intelligence, 90: 103489, 2020.
87. Guoqiang Zhong, Tao Li, Wencong Jiao, Li-Na Wang, Junyu Dong, Cheng-Lin Liu, DNA computing
inspired deep networks design, Neurocomputing, 382-140-147, 2020.
88. Jinpeng Li, Shuang Qiu, Yuan-Yuan Shen, Cheng-Lin Liu, Huiguang He, Multisource transfer learning
for cross-subject eeg emotion recognition, IEEE Trans. Cybernetics, 50(7): 3281-3293, 2020.
89. Chee-Kheng Ch’ng, Chee Seng Chan, Cheng-Lin Liu, Total-text: towards orientation robustness in
scene text detection, Int. J. Document Analysis and Recognition, 23: 31-52, 2020.
90. Yuan-Yuan Shen, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Online semi-supervised learning
with learning vector quantization, Neurocomputing, 399: 467-278, 2020.
91. Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen, Towards robust pattern recognition: A review,
Proceedings of the IEEE, 108(6): 894-922, 2020.
92. Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu, Contextual stroke classification in online
handwritten documents with edge graph attention networks, SN Computer Science, 1: 163, 2020.
93. Wujiaheimaiti Simayi, Mayire Ibrahim, Xu-Yao Zhang, Cheng-Lin Liu, Askar Hamdulla, A benchmark
for unconstrained online handwritten Uyghur word recognition, Int. J. Document Analysis and
Recognition, 23: 205-218, 2020.
94. Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu, Multilingual handwritten text
recognition via multi-task learning of recurrent neural networks, Pattern Recognition, 108: 107555,
2020.
95. Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Handwritten mathematical
expression recognition via paired adversarial learning, Int. J. Computer Vision, 128: 2386-2401, 2020.
96. Zhiqiang Chen, Ting-Bing Xu, Changde Du, Cheng-Lin Liu, Huiguang He, Dynamical channel pruning
by conditional accuracy change for deep neural networks, IEEE Trans. Neural Networks and Learning
Systems, 32(2): 799-813, 2020.
97. Cong Wang, Cheng-Lin Liu, Multi-branch guided attention network for irregular text recognition,
Neurocomputing, 425: 278-289, 2021.
98. Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu, Joint stroke classification and text line
grouping in online handwritten documents with edge pooling attention networks, Pattern Recognition,
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114: 107859, 2021.
99. Ting-Bing Xu, Cheng-Lin Liu, Deep neural network self-distillation exploiting data representation
invariance, IEEE Trans. Neural Networks and Learning Systems, published online, 2020.
100. Wei Feng, Fei Yin, Xu-Yao Zhang, Wenhao He, Cheng-Lin Liu, Residual dual scale scene text spotting
by fusing bottom-up and top-down processing, Int. J. Computer Vision, accepted, 2020.
101. Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu, BlockQNN:
Efficient block-wise neural network architecture generation, IEEE Tran. Pattern Analysis and Machine
Intelligence, published online, 2020.
102. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu, Convolutional prototype
network for open set recognition, IEEE Tran. Pattern Analysis and Machine Intelligence, accepted, Dec.
2020.
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.
-10-
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. IEEE Conference on Computer Vision and Pattern Recognition, New York, 2006, Vol.1, pp.330-
338.
-11-
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.
-12-
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,
-13-
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.
-14-
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. IEEE
Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, 2011, pp.393-398.
86. Heng Wang, Alex Kläser, Cordelia Schmid, Cheng-Lin Liu, Action recognition by dense trajectories,
Proc. IEEE Conference on Computer Vision and Pattern Recognition, Colorado Springs, USA, 2011,
pp.3169-3176.
87. Xu-Yao Zhang, Kaizhu Huang, Cheng-Lin Liu, Pattern field classification with style normalized
transformation, Proc. International Joint Conference on Artificial Intelligence, Barcelona, Spain, 2011,
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
-15-
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. IAPR
Workshop on 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. IAPR Workshop on 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. IAPR Workshop on 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.
-16-
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
-17-
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, International Conference on Computer Vision, 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 Conference on Artificial Intelligence, Phoenix,
Arizona, USA, 2016.
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.
-18-
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), Phoenix,
USA, September 25-28, 2016, pp.649-653.
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.
161. Jie Yang, Chunhong Pan, Cheng-Lin Liu, Xinwei 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.
162. Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin 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.
163. Bi-Ren Tan, Fei Yin, Yi-Chao Wu, Cheng-Lin Liu, Chinese handwriting generation by neural network
based style transformation, Proc. 9th Int. Conf. on Image and Graphics (ICIG), Shanghai, 2017.
164. Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu, Margin-aware binarized weight networks
for image classification, Proc. 9th Int. Conf. on Image and Graphics (ICIG), Shanghai, 2017.
165. Nibal Nayef, Fei Yin, Imen Bizid, Hyunsoo Choi, Yuan Feng, Dimosthenis Karatzas, et al., Cheng-Lin
Liu, Jean-Marc 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.
166. Zhuo Chen, Yichao Wu, Fei Yin, Cheng-Lin Liu, Simultaneous script identification and handwriting
recognition via multi-task learning of recurrent neural networks, Proc. 14th Int. Conf. Document
-19-
Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017, pp.525-530.
167. Xue-Hang Yang, Wenhao He, Fei Yin, Cheng-Lin 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.
168. Tie-Qiang Wang, Fei Yin, Cheng-Lin 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.
169. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Handwriting style mixture adaptation, Proc.
14th Int. Conf. Document Analysis and Recognition (ICDAR), Osaka, Japan, November 10-15, 2017,
pp.998-1003.
170. Yi-Chao Wu, Fei Yin, Zhuo Chen, Cheng-Lin 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.
171. Yue Xu, Wenhao He, Fei Yin, Cheng-Lin 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.
172. Cong Wang, Fei Yin, Cheng-Lin 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.
173. Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin 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.
174. Zi-Jian Xing, Fei Yin, Yi-Chao Wu, Cheng-Lin 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.
175. Guo-Shuai Liu, Fei Yin, Zhenbo Luo, Cheng-Lin 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.
176. Zhao Zhong, Fei Yin, Xu-Yao Zhang, Cheng-Lin 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.
177. Wujiahemaiti Simayi, Askar Hamdulla, Cheng-Lin 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.
178. Tie-Qiang Wang, Cheng-Lin Liu, Fully convolutional network based skeletonization for handwritten
Chinese character, Proc. 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans,
USA, February 2-7, 2018.
179. Xiao-Hui Li, Fei Yin, Cheng-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.
180. Xue-Hang Yang, Fei Yin, Cheng-Lin Liu, Online video text detection with Markov decision process,
13th IAPR Int. Workshop on DAS, Vienna, Austria, April 24-27, 2018.
-20-
181. Yuan-Yuan Shen, Xu-Yao Zhang, Cheng-Lin Liu, Online semi-supervised learning with adaptive vector
quantization, Proc. First International Conference on Pattern Recognition and Artificial Intelligence
(ICPRAI), Montreal, Canada, 2018.
182. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Robust classification with convolutional
prototype learning, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake
City, USA, June 18-22, 2018.
183. Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu, Practical block-wise neural network
architecture generation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt
Lake City, USA, June 18-22, 2018.
184. Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu, Multi-task layout analysis for historical handwritten
documents using fully convolutional networks, Proc. 27th Int. Joint Conf. on Artificial Intelligence
(IJCAI-18), Stockholm, Sweden, July 13-19, 2018.
185. Cong Wang, Fei Yin, Cheng-Lin Liu, Memory-augmented attention model for scene text recognition,
Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.65-67.
186. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Jun Sun, Cheng-Lin Liu, Deep transfer mapping for
unsupervised writer adaptation, Proc. 16th ICFHR, Niagara Falls, USA, August 5-8, 2018, pp.151-156.
187. Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu, Anomaly detection via minimum likelihood generative
adversarial networks, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.1121-1126, 2018.
188. Wei Feng, Wen-Hao He, Fei Yin, Cheng-Lin Liu, Scene text detection with recurrent instance
segmentation, Proc. 24th ICPR, Beijing, China, August 20-24, 2018, pp.2227-2232, 2018.
189. Xiao-Hui Li, Fei Yin, Cheng-Lin 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.
190. Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Image-to-markup generation
via paired adversarial learning, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018.
191. Tie-Qiang Wang, Cheng-Lin 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.
192. Ting-Bing Xu, Cheng-Lin Liu, Data-distortion guided self-distillation for deep neural networks, Proc.
33th AAAI Conference on Artificial Intelligence, Honolulu, Hawaii, USA, Jan. 27-Feb. 1, 2019.
193. Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim, Arbitrary
shape scene text detection with adaptive text region representation, IEEE Conference on Computer
Vision and Pattern Recognition, Long Beach, CA, June 16-20, 2019.
194. Hongwei Pang, Peipei Yang, Xiaolin Chen, Yong Wang, Cheng-Lin Liu, Insect recognition under natural
scenes using R-FCN with anchor boxes estimation, Proc. ICIG, Beijing, China, August 23-25, 2019.
195. Xiaolong Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu, Online handwritten diagram recognition
with graph attention networks, Proc. ICIG, Beijing, China, August 23-25, 2019.
196. Nibal Nayef, Fei Yin, …, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier, ICDAR2019 robust
reading challenge on multi-lingual scene text detection and recognition – RRC-MLT-2019, Proc. 15th
ICDAR, Sydney, Australia, September 20-25, 2019, pp.1582-1587.
197. Cu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu, Hiding security feature into text
context for securing documents using generated font, Proc. 15th ICDAR, Sydney, Australia, September
-21-
20-25, 2019, pp.1214-1219.
198. Cu Vinh Loc, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu, A robust data hiding scheme
using generated content for securing genuine documents, Proc. 15th ICDAR, Sydney, Australia,
September 20-25, 2019, pp.787-792.
199. Xiang Ao, Xu-Yao Zhang, Hong-Ming Yang, Fei Yin, Cheng-Lin Liu, Cross-modal prototype learning
for zero-shot handwriting recognition, Proc. 15th ICDAR, Sydney, Australia, September 20-25, 2019,
pp.589-594.
200. Xiao-Hui Li, Fei Yin, Tao Xue, Long Liu, Jean-Marc Ogier, Cheng-Lin Liu, Instance aware document
image segmentation using label pyramid networks and deep watershed transformation, Proc. 15th
ICDAR, Sydney, Australia, September 20-25, 2019, pp.514-519.
201. Yi-Kang Zhang, Heng Zhang, Yong-Ge Liu, Qing Yang, Cheng-Lin Liu, Oracle character recognition
by nearest neighbor classification with deep metric learning, Proc. 15th ICDAR, Sydney, Australia,
September 20-25, 2019, pp.309-314.
202. Yue Xu, Fei Yin, Da-Han Wang, Xu-Yao Zhang, Zhaoxiang Zhang, Cheng-Lin Liu, CASIA-AHCDB:
A large-scale Chinese ancient handwritten characters database, Proc. 15th ICDAR, Sydney, Australia,
September 20-25, 2019, pp.793-798.
203. Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu, Contextual stroke classification in online
handwritten documents with graph attention networks, Proc. 15th ICDAR, Sydney, Australia, September
20-25, 2019, pp.993-998.
204. Yuanxing Zhao, Yanming Zhang, Ming Song, Cheng-Lin Liu, Multi-view semi-supervised 3d whole
brain segmentation with a self-ensemble network, MICCAI 2019, Shenzhen, China, 2019, LNCS 11766,
pp.256-265.
205. Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, TextDragon: An end-to-end framework
for arbitrary shaped text spotting, International Conference on Computer Vision (ICCV), Seoul, Korea,
Oct. 27-Nov. 2, 2019, pp.9076-9085.
206. Shi Yan, Wei Feng, Peng Zhao, Cheng-Lin Liu, Progressive scale expansion network with octave
convolution for arbitrary shape scene text detection, ACPR 2019, Aukland, New Zealand, Nov. 26-29,
2019, LNCS 12046, pp.663-676.
207. Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu, Accelerating bag-of-words with SOM, ICONIP 2019,
Sydney, Dec. 12-15, Australia, LNCS 11955, pp.573-584.
208. Cong Wang, Cheng-Lin Liu, Scene text recognition by attention network with gated embedding, Proc.
IJCNN, Glasgow, UK, July 19-24, 2020. Poster
209. Xiao-Hui Li, Fei Yin, Cheng-Lin Liu, Page segmentation using convolutional neural network and
graphical model, Proc. 14th IAPR Int. Workshop on Document Analysis Systems (DAS 2020), Wuhan,
China, July 26-29, 2020. Oral
210. Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Dewarping document image by displacement
flow estimation with fully convolutional network, Proc. 14th IAPR Int. Workshop on Document Analysis
Systems (DAS 2020), Wuhan, China, July 26-29, 2020. Best Student Paper. Oral
211. Ming-Chao Xu, Fei Yin, Cheng-Lin Liu, SRR-GAN: Super-resolution recognition GAN for low-
resolved text images, Proc. 17th ICFHR, Dortmund, Germany, September 7-10, 2020. Oral
212. Zhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu, Weakly supervised learning for over-
-22-
segmentation based handwritten Chinese text recognition, Proc. 17th ICFHR, Dortmund, Germany,
September 7-10, 2020. Oral
213. Da-Han Wang, Fei-Yin, Jin-Wen Wu, Yu-Pei Yan, Zhi-Cai Huang, Gui-Yun Chen, Yao Wang, Cheng-
Lin Liu, ICFHR 2020 competition on offline recognition and spotting of handwritten mathematical
expressions – OffRaSHME, Proc. 17th ICFHR, Dortmund, Germany, September 7-10, 2020. Oral
214. Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu, Cross-lingual text image recognition
via multi-task sequence to sequence learning, Proc. 25th Int. Conf. Pattern Recognition (ICPR 2020),
virtually, Milan, Italy, Jan. 10-15, 2021.
215. Xiu-Chuan Li, Xu-Yao, Fei Yin, Cheng-Lin Liu, F-mixup: attack CNNs from Fourier perspective, Proc.
25th Int. Conf. Pattern Recognition (ICPR 2020), virtually, Milan, Italy, Jan. 10-15, 2021.
216. Meng-Biao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Mutually guided dual-task
network for scene text detection, Proc. 25th Int. Conf. Pattern Recognition (ICPR 2020), virtually, Milan,
Italy, Jan. 10-15, 2021. Oral
217. Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Graph-to-graph: Towards
accurate and interpretable online handwritten mathematical expression recognition, Proc. 35th AAAI
Conference on Artificial Intelligence (AAAI 2021), virtually, Feb. 2-9, 2021.
218. Hao-Ru Tan, Chuang Wang, Si-Tong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu, Proxy graph
matching with proxy matching networks, Proc. 35th AAAI Conference on Artificial Intelligence (AAAI
2021), virtually, Feb. 2-9, 2021.
219. Ying Liu, Heng Zhang, Xiaolong Yun, Junyu Ye, Cheng-Lin Liu, Table detection and cell segmentation
in online handwritten documents with graph attention networks, ACM Multimedia Asia 2020, March 7-
9, 2021, Singapore.
220. Deli Yu, Peipei Yang, Cheng-Lin Liu, Learning-based tensor decomposition with adaptive rank penalty
for CNNs compression, IEEE 4th International Conference on Multimedia Information Processing and
Retrieval (MIPR 2021), September 8-10, 2021, Tokyo.
Domestic Journals
1. 刘成林、戴汝为、刘迎建，笔迹鉴别的字符预处理与匹配，《中文信息学报》, 10(3): 50-57, 1996.
2. 刘成林、刘迎建、戴汝为，基于多通道分解与匹配的笔迹鉴别研究，《自动化学报》, 23(1): 56-
63, 1997. (EI 97073738203)
3. 刘成林、戴汝为、刘迎建，简化的 Wigner 分布及其在笔迹鉴别中的应用，《计算机学报》, 20(11):
1018-1023, 1997.
4. 刘成林、谭铁牛，模式识别研究进展，《中国计算机学会通讯》，2007 年 12 期，45-52。
5. 陈小琳、侯新文、刘成林、刘晓秋、张知彬，昆虫图像自动鉴别技术，《昆虫知识》，2008 年 2
期。
6. 于金伦、周祥东、刘成林，手写字符串识别搜索算法研究，《模式识别与人工智能》，22(2): 182-
187, 2009。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.
-23-
7. 马龙龙、刘成林，基于统计部首模型的联机手写汉字识别方法，《智能系统学报》，5(5): 385-391,
2010. 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. 张蕾、陈小琳、侯新文、刘成林、樊利民、汪兴鉴，实蝇科实蝇属昆虫数字图像自动识别系统
的构建和测试，昆虫学报，2011 年 2 期，184-196 页。
9. 玛依热·依布拉音，张恒，刘成林，艾斯卡尔·艾木都拉，联机手写维吾尔文字母识别方法研究，
模式识别与人工智能，25(6): 979-986, 2012. 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.
10. 喻庚，殷飞，陈友斌，刘成林，基于索引的快速手写中文文档关键词检索，模式识别与人工智
能，28(11): 1033-1040, 2015. 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.
11. 曾毅、刘成林、谭铁牛，类脑智能研究的回顾与展望，计算机学报，39(1): 212-222, 2016. Yi Zeng,
Cheng-Lin Liu, Tieniu Tan, Retrospect and outlook of brain-inspired intelligence research, Chinese
Journal of Computers, 39(1): 212-222, 2016.
12. 刘国帅、仲伟峰、殷飞、刘成林，自然场景图像与合成图像的快速分类，中国图象图形学报，
22(5): 678-687, 2017. Guoshuai Liu, Weifeng Zhong, Fei Yin, Chenglin Liu, Fast classification of
natural scene and born-digital images, Chinese Journal of Image and Graphics, 22(5): 678-687, 2017.
13. 刘成林，文档图像识别技术与展望，数据与计算发展前沿，1(2): 17-25, 2019. Document Image
Recognition: Retrospective and Perspective of Technology, Frontiers of Data and Computing
Development, 1(2): 17-25, 2019.
Domestic Conferences
1. 刘成林、戴汝为、刘迎建, Hidden Markov models with application to character recognition, Proc. 5th
Symposium on Chinese Character and Speech Recognition, Chengdu, 1994.
2. 于金伦、周祥东、刘成林，联机手写字符串识别搜索算法研究，2007 全国模式识别学术会议论
文集，科学出版社，pp.299-305.
3. 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.
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. Yi-Feng Pan, Cheng-Lin Liu, Performance evaluation for text localization algorithms: an empirical
study, Proc. 2010 Chinese Conf. Pattern Recognition (CCPR), Chongqing, 2010.
6. 刘成林，文档图像分析技术现状与展望，第九届两岸三院信息技术与应用交流研讨会，长春，
2011.
7. 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.
-24-
8. 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.
9. 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.
10. 刘国帅、仲伟峰、殷飞、刘成林，自然场景图像与合成图像的快速分类，第十八届全国图象图
形学学术会议，南宁，2016.11.10-12.
11. Quan Qiu, Yuan Feng, Fei Yin, Cheng-Lin 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.
Reports in arXiv
1. Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Deep direct regression for multi-oriented scene
text detection, arXiv:1703.08289, 2017.
2. Fei Yin, Yi-Chao Wu, Xu-Yao Zhang, Cheng-Lin Liu, Scene text recognition with sliding convolutional
character models, arXiv:1709.01727, 2017.
3. Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu, SCAN: sliding convolutional attention
network for scene text recognition, arXiv:1806.00578, 2018.
4. Zhao Zhong, Junjie Yan, Cheng-Lin Liu, Practical network blocks design with Q-learning,
arXiv:1708.05552, 2018.
5. Mengbiao Zhao, Wei Feng, Xu-Yao Zhang, Cheng-Lin Liu, Weakly-Supervised arbitrary-shaped text
detection with expectation-maximization algorithm, arXiv:2012.00424, 2020.
Reports in Japanese Conferences
1. Cheng-Lin Liu, Masaki Nakagawa, Handwritten numeral recognition using neural and statistical
classifiers: some new results, Technical Report of IEICE, PRMU98-142, Dec. 1998.
2. Cheng-Lin Liu, Hiroshi Sako, Discriminative learning to improve the outlier resistance of neural
classifiers, Technical Report of IEICE, PRMU2001-99, Oct. 2001.
3. Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa, Learning quadratic discriminant function for
handwritten character recognition, Technical Report of IEICE, PRMU2001-100, Oct. 2001.
4. Stefan Jaeger, Masaki Nakagawa, Cheng-Lin Liu, A brief survey on the state of the art in on-line
handwriting recognition for Japanese and Western script, Technical Report of IEICE, PRMU2001-272,
March 2002.
5. Cheng-Lin Liu, Hiroshi Sako, Class-specific feature polynomial classifier for handwriting recognition,
Technical Report of IEICE, PRMU2002-91, Oct. 2002.
6. Cheng-Lin Liu, Classifier combination with confidence transformation, Technical Report of IEICE,
PRMU2003-130, Oct. 2003.
7. Cheng-Lin Liu, Katsumi Marukawa, String-level discriminative training of classifiers for handwritten
-25-
numeral string recognition, Technical Report of IEICE, PRMU2003-232, Feb. 2004.
Patents
1. 特開 2003-308483, 中嶋 和樹、劉 成林（日立製作所）, 文字種判定プログラム、文字識別
プログラム及び文字識別装置
2. 刘成林、王大寒，一种联机手写句子实时识别方法，中国专利申请号 201010175627.2, 2010 年 5
月 20 日申请。授权号 ZL201010175627.2，2011.11.29.
3. 刘成林、白博、殷飞，一种视频字幕文本提取和识别的方法，专利申请号 201110315054.3，
2011.10.17. 授权号 ZL201110315054.3, 2012.11.06.
4. 刘成林、白博、殷飞，用于视频中文本区域检测与定位的方法，专利申请号 201110451826.6，
2011.12.29. 授权号 ZL201110451826.6, 2014.04.23.
5. 陈雪云、刘成林、向世明、潘春洪，用于目标图像分割的全局阈值分割方法，专利申请号
201210266562.1，2012.07.30. 授权号 ZL201210266562.1，2015.1.28.
6. 刘成林、靳潇杰、王秋锋、侯新文，一种空中手写字符串识别方法，专利申请号 201310597539.5,
2013.11.
7. 刘成林; 董振江; 陈凯; 贾霞; 殷飞; 陈和香，一种图像文本检测方法及系统、用户终端及服务
器，申请号 CN201610921016.5，2016.10.21.
8. 殷飞、吴金文、孙俊、刘成林，基于图半监督学习的文档二值化处理方法、系统、装置，专利申
请号 201811334371.8，2018/11/09。授权专利号：ZL 2018 1 1334371.8, 2021.2.2
9. 殷飞、张颐康、刘成林，手写汉字书写质量评价方法及系统，专利申请号 201811433192.X，
2018/11/28。授权号 ZL2018-1-1433192.X, 2020/10/27.
10. 刘成林、李晓辉、殷飞，试卷内容自动分类的版面分析方法、系统，专利申请号 201811512183.X，
2018/12/11。
11. 刘成林，王铁强，基于全卷积神经网络的中文字符图像笔划提取方法、系统，专利申请号
201910454930.7, 2019/09/19。授权专利号：ZL2019 1 0454930.7，2021.2.2
12. 殷飞; 王瑞琪; 刘成林; 刘龙; 薛涛; 李玉梅, 一种图片筛选方法、装置及电子设备，申请号
CN201910482362.1，2019.6.4.