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.
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
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.
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.
Book Chapters
1.
Cheng-Lin
Liu, Ying-Jian
Liu, Ru-Wei Dai, Preprocessing and statistical/structural feature extraction for
handwritten numeral recognition, in Progress of Handwriting Recognition,
A.C. Downton and S. Impedovo (Eds.), World Scientific, 1997,
pp.161-168.
2.
Cheng-Lin
Liu, Masaki Nakagawa, A probabilistic model for candidate selection in
recognition of large character set, in Advances in Handwriting
Recognition, S.-W. Lee (Ed.), World Scientific, 1999,
pp.277-286.
3.
Cheng-Lin
Liu, Hiromichi Fujisawa, Classification and learning in character recognition:
Advances and remaining problems, In: Machine Learning in Document Analysis and
Recognition, S. Marinai and Hiromichi Fujisawa (Eds.), Springer, 2008,
pp.139-161.
4.
Cheng-Lin
Liu, Handwritten Chinese character recognition: Effects of shape normalization
and feature extraction, In: Arabic and
Chinese Handwriting Recognition, Stefan Jaeger and D. Doermann (Eds.), LNCS
Vol.4768, Springer, 2008, pp.104-128.
5.
Cheng-Lin
Liu, Long-Long Ma, Radical-based hybrid statistical-structural approach for
online handwritten Chinese character recognition, Pattern Recognition, Machine Intelligence
and Biometrics, P.S.P. Wang (Ed.), Springer, ISBN 978-7-04-033139-4, 2011,
Chapter 24, pp. 633-655.
6.
An
Lu, Xinwen Hou, Cheng-Lin Liu, Xiaolin Chen, Insect recognition using sparse
coding and decision fusion, In: Computer
Vision and Pattern Recognition in Environmental Informatics, Jun Zhou, Xiao
Bai and Terry Caelli (Eds.), IGI Global, 2015.
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.
1.
Cheng-Lin
Liu, Jin H. Kim, Ru-Wei Dai, Multiresolution locally expanded HONN for
handwritten numeral
recognition, Pattern Recognition
Letters, 18(10): 1019-1025, 1997.
2.
Cheng-Lin
Liu, Masaki Nakagawa, Precise candidate selection for large character set
recognition by confidence evaluation, IEEE Trans. Pattern Analysis and Machine
Intelligence, 22(6): 636-642, 2000.
3.
Cheng-Lin
Liu, Masaki Nakagawa, Evaluation of prototype learning algorithms for nearest
neighbor classifier in application to handwritten character recognition, Pattern Recognition, 34(3): 601-615,
2001.
4.
Cheng-Lin
Liu, In-Jung Kim, Jin H. Kim, Model-based stroke extraction and matching for
handwritten Chinese character recognition, Pattern Recognition, 34(12):
2339-2352, 2001.
5.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Performance evaluation of pattern
classifiers for handwritten character recognition, Int. J. Document Analysis
and Recognition, 4(3): 191-204, 2002.
6.
Cheng-Lin
Liu, Masashi Koga, Hiromichi Fujisawa, Lexicon-driven segmentation and
recognition of handwritten character strings for Japanese address reading,
IEEE Trans. Pattern Analysis and Machine Intelligence, 24(11): 1425-1437,
2002.
7.
Ondrej
Velek, Masaki Nakagawa, Cheng-Lin Liu, Vector-to-image transformation of
character patterns for on-line and off-line recognition, Int. J. Computer
Processing of Oriental Languages, 15(2): 187-209,
2002.
8.
Stefan
Jaeger, Cheng-Lin Liu, Masaki Nakagawa, The state of the art in Japanese on-line
handwriting recognition compared to techniques in western handwriting
recognition, Int. J. Document Analysis and Recognition, 6(2): 75-88,
2003.
9.
Cheng-Lin
Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit
recognition: Benchmarking
of state-of-the-art techniques, Pattern Recognition, 36(10): 2271-2285,
2003.
10.
Cheng-Lin
Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit
recognition: Investigation
of normalization and feature extraction techniques, Pattern Recognition,
37(2): 265-279, 2004.
11.
Cheng-Lin
Liu, Stefan Jaeger, Masaki Nakagawa, Online handwritten Chinese character
recognition: The
state of the art, IEEE Trans. Pattern Analysis and Machine Intelligence,
26(2): 198-213, 2004.
12.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Discriminative learning quadratic
discriminant function for handwriting recognition, IEEE Trans. Neural
Networks, 15(2): 430-444, 2004.
13.
Cheng-Lin
Liu, Hongwei Hao, Hiroshi Sako, Confidence transformation for combining
classifiers, Pattern Analysis and Applications, 7(1): 2-17, 2004.
14.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Effects of classifier structures and
training regimes on integrated segmentation and recognition of handwritten
numeral strings, IEEE Trans. Pattern Analysis and Machine Intelligence,
26(11): 1395-1407, 2004.
15.
Cheng-Lin
Liu, Classifier combination based on confidence transformation, Pattern
Recognition, 38(1): 11-28, 2005.
16.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Handwritten numeral string recognition:
effects of character normalization and feature extraction, IEICE Trans.
Information and Systems, E88-D(8):
1791-1798, 2005.
17.
Cheng-Lin
Liu, Katsumi Marukawa, Pseudo two-dimensional
shape normalization methods for handwritten Chinese character recognition,
Pattern Recognition, 38(12):
2242-2255, 2005.
18.
Cheng-Lin
Liu, Hiroshi Sako, Class-specific feature polynomial classifier for pattern
classification and its application to handwritten numeral recognition,
Pattern Recognition, 39(4):
669-681, 2006.
19.
Ruwei
Dai, Chenglin Liu, Baihua Xiao, Chinese character recognition: history, status
and prospects, Frontiers of Computer
Science in China, 1(2): 126-136, 2007.
20.
Cheng-Lin
Liu, Normalization-cooperated gradient feature extraction for handwritten
character recognition, IEEE Trans.
Pattern Analysis and Machine Intelligence, 29(8): 1465-1469,
2007.
21.
Tian-Fu
Gao, Cheng-Lin Liu, High accuracy handwritten Chinese character recognition
using LDA-based compound distances, Pattern Recognition, 42(11): 3442-3451,
2008.
22.
Cheng-Lin
Liu, Partial
discriminative training for classification of overlapping classes in document
analysis, Int. J. Document Analysis and
Recognition, 11(2): 53-65, 2008.
23.
Xiang-Dong
Zhou, Da-Han Wang, Cheng-Lin Liu, A robust approach to text line grouping in
online handwritten Japanese documents, Pattern Recognition, 42(9):
2077-2088, 2009.
24.
Cheng-Lin
Liu, Ching Y. Suen, A new benchmark on the recognition of handwritten Bangla and
Farsi numeral characters, Pattern
Recognition, 42(12): 3287-3295, 2009.
25.
Fei
Yin, Cheng-Lin Liu, Handwritten
Chinese
text
line
segmentation
by clustering
with distance
metric
learning,
Pattern Recognition, 42(12):
3146-3157, 2009.
26.
Xiao-Bo
Jin, Cheng-Lin Liu, Xinwen Hou, Regularized margin-based conditional
log-likelihood loss for prototype learning, Pattern Recognition, 43(7): 2428-2438,
2010.
27.
Bilan
Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, A robust model for on-line
handwritten Japanese text recognition, Int. J. Document Analysis and
Recognition, 13(2): 121-131, 2010.
28.
Yi-Feng
Pan, Xinwen Hou, Cheng-Lin Liu, A hybrid approach to detect and localize texts
in natural scene images, IEEE Trans.
Image Processing, 20(3): 800-813, 2011.
29.
Guoqiang
Zhong, Kaizhu Huang, Cheng-Lin Liu, Joint
learning of error-correcting output codes and dichotomizers from
data,
Neural Computation and Applications,
21: 715-724, 2012.
30.
Qiu-Feng
Wang, Fei Yin, Cheng-Lin Liu, Handwritten
Chinese text
recognition
by integrating
multiple
contexts,
IEEE Trans. Pattern Analysis and Machine
Intelligence, 34(8): 1469-1481, 2012.
31.
Da-Han
Wang, Cheng-Lin Liu, Xiang-Dong Zhou, An approach for real-time recognition of
online Chinese handwritten sentences, Pattern Recognition, 45(10): 3661-3675,
2012.
32.
Bo
Xu, Kaizhu Huang, Cheng-Lin Liu, Maxi-min discriminant analysis via online
learning, Neural Networks, 34: 56-64,
2012.
33.
Cheng-Lin
Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Online and offline handwritten Chinese
character recognition: Benchmarking
on new databases, Pattern Recognition, 46(1): 155-162,
2013.
34.
Guoqiang
Zhong, Cheng-Lin Liu, Error-correcting output codes based ensemble feature
extraction, Pattern Recognition,
46(4): 1091-1100, 2013.
35.
Qiu-Feng
Wang, Eric Cambria, Cheng-Lin Liu, Amir Hussain, Common sense knowledge for
handwritten Chinese text recognition, Cognitive Computation, 5(2): 234-242,
2013.
36.
Peipei
Yang, Kaizhu Huang, Cheng-Lin Liu, A multi-task
framework
for metric
learning
with
common
subspace,
Neural Computing and Applications, 22(7-8): 1337-1347, 2013.
37.
Xu-Yao
Zhang, Cheng-Lin Liu, Writer adaptation with style transfer mapping, IEEE Trans. Pattern Analysis and Machine
Intelligence, 35(7): 1773-1787, 2013.
38.
Heng
Wang, Alex Klaeser, Cordelia Schmid, Cheng-Lin Liu, Dense trajectories and motion
boundary descriptors for action recognition, Int. J. Computer Vision, 103: 60-79,
2013.
39.
Xu-Yao
Zhang, Cheng-Lin Liu, Evaluation
of weighted Fisher criteria for large category dimensionality reduction in
application to Chinese handwriting recognition, Pattern Recognition, 46(9): 2599-2611,
2013.
40.
Fei
Yin, Qiu-Feng Wang, Cheng-Lin Liu, Transcript mapping for handwritten Chinese
documents by integrating character recognition model and geometric context,
Pattern
Recognition,
46(10): 2807-2818, 2013.
41.
Peipei
Yang, Kaizhu Huang, Cheng-Lin Liu, Geometry preserving multi-task metric learning, Machine Learning, 92(1): 133–175,
2013.
42.
Xiang-Dong
Zhou, Da-Han Wang, Feng Tian, Cheng-Lin Liu, Masaki Nakagawa, Handwritten
Chinese/Japanese Text recognition using semi-Markov conditional random
fields,
IEEE
Trans. Pattern
Analysis and
Machine Intelligence,
35(10): 2484-2497, 2013.
43.
Heng
Zhang,
Da-Han Wang, Cheng-Lin Liu, Horst Bunke, Keyword spotting from online
Chinese handwritten
documents using one-versus-all
character
classification model, Int. J. Pattern Recognition and Artificial
Intelligence, 27(3), 2013.
44.
Jingnian
Chen, Caiming Zhang, Xiaoping Xue, Cheng-Lin Liu, Fast instance selection for
speeding up support vector machines, Knowledge-Based Systems, 45: 1-7,
2013.
45.
G.-R.
Park, In-Jung Kim, Cheng-Lin Liu, An evaluation of statistical methods in
handwritten Hangul recognition, Int. J.
Document Analysis and Recognition, 16(3):
273-283, 2013.
46.
Liang
Huang, Fei Yin, Qing-Hu Chen, Cheng-Lin Liu, Keyword spotting in unconstrained
handwritten Chinese documents using contextual word model, Image and Vision Computing, 31(12):
958-968, 2013.
47.
Qiu-Feng
Wang, Fei Yin, Cheng-Lin Liu, Unsupervised language model adaptation for
handwritten Chinese text recognition, Pattern Recognition, 47(3): 1202-1216,
2014.
48.
Adrien
Delaye, Cheng-Lin Liu, Contextual text/non-text stroke classification in online
handwritten notes with conditional random fields, Pattern Recognition, 47(3): 959-968,
2014.
49.
Heng
Zhang, Da-Han Wang, Cheng-Lin Liu, Character
confidence based on N-Best list for keyword spotting in online Chinese
handwritten documents, Pattern
Recognition,
47(5): 1880-1890, 2014.
50.
Xiang-Dong
Zhou, Yan-Ming Zhang, Feng Tian, Hong-An Wang, Cheng-Lin Liu, Minimum-risk
training for semi-Markov conditional random fields with application to
handwritten Chinese/Japanese text recognition, Pattern Recognition, 47(5): 1904-1916,
2014.
51.
Bo
Xu, Kaizhu Huang, Irwing King, Cheng-Lin Liu, Jun Sun, Satoshi Naoi, Graphical
Lasso quadratic discriminant function and its application to character
recognition, Neurocomputing, 129:
33-40, 2014.
52.
Liang
Xu, Fei Yin, Qiu-Feng Wang, Cheng-Lin Liu, An
over-segmentation method for single-touching Chinese handwriting with learning
based filtering, Int. J. Document Analysis and Recognition,
17(1): 91-104, 2014.
53.
Xueyun
Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle detection in satellite
images by hybrid deep convolutional neural networks, IEEE Geoscience and Remote Sensing
Letters, 11(10): 1797-1801, 2014.
54.
Da-Han
Wang, Cheng-Lin Liu, Learning confidence transformation for
handwritten Chinese
text recognition, Int. J. Document Analysis and
Recognition, 17(3): 205-219, 2014.
55.
Yan-Ming
Zhang, Kaizhu Huang, Xinwen Hou, Cheng-Lin Liu, Learning locality preserving
graph from data, IEEE
Trans. SMC Part B,
44(11): 2088-2098, 2014.
56.
Adrien
Delaye, Cheng-Lin Liu, Multi-class segmentation of free-form online documents
with tree conditional random fields, Int.
J. Document Analysis and Recognition, 17: 313-329, 2014.
57.
Xu-Yao
Zhang, Peipei Yang, Yan-Ming Zhang, Kaizhu Huang, Cheng-Lin Liu, Combination of
clustering and classification results with label propagation, IEEE Signal Processing Letters, 21(5):
610-614, 2014.
58.
Yan-Ming
Zhang, Kaizhu Huang, Guang-Gang Geng, Cheng-Lin Liu, MTC: A fast and robust
graph-based transductive learning algorithm, IEEE Trans.
Neural Networks and Learning Systems,
26(9): 1979-1991, 2015.
59.
Xu-Yao
Zhang, Lingfeng Wang, Shiming Xiang, Cheng-Lin Liu, Retargeted least squares
regression algorithm, IEEE Trans.
Neural Networks and Learning Systems,
26(9): 2206-2213, 2015.
60.
Zhao
Zhang, Cheng-Lin Liu, Ming-Bo Zhao, A sparse projection and low-rank recovery
framework for handwriting representation and salient stroke feature extraction,
ACM Trans. On Intelligent System and
Technology, 6(1): No.9, 2015.
61.
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.
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.
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.
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.
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, 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.
1.
Cheng-Lin
Liu, Ru-Wei Dai, Ying-Jian Liu, Extracting individual features from moments for
Chinese writer identification, Proc. 3rd
ICDAR, Montreal, Canada,
1995,
pp.438-441.
2.
Cheng-Lin
Liu, Hong-Wei
Hao, Ying-Jian Liu, Handwritten numeral recognition by spatial filtering and
neural networks, Proc. ICNNSP,
Nanjing,
China,
1995.
3.
Cheng-Lin
Liu, Ying-Jian Liu, Ru-Wei Dai, Multiresolution statistical and structural
feature extraction for handwritten numeral recognition, Proc. 5th IWFHR, Colchester, UK, 1996,
pp.61-66.
4.
Cheng-Lin
Liu, In-Jung Kim, Jin H. Kim, High accuracy handwritten Chinese character
recognition by improved feature matching method, Proc. 4th ICDAR, Ulm, Germany, 1997,
pp.1033-1037.
5.
Cheng-Lin
Liu, In-Jung Kim, Jin H. Kim, Model-based stroke extraction and matching by
heuristic search for handwritten Chinese character recognition, Proc. 6th IWFHR, Taejon, Korea, 1998,
pp.547-556.
6.
Cheng-Lin
Liu, Masaki Nakagawa, A probabilistic model for precise candidate selection in
large character set recognition, Proc.
6th IWFHR, Taejon, Korea, 1998, pp.259-268.
7.
Cheng-Lin
Liu, Masaki Nakagawa, Prototype learning algorithms for nearest neighbor
classification with application to handwritten character recognition, Proc. 5th ICDAR, Bangalore, India, 1999,
pp.378-381.
8.
Cheng-Lin
Liu, Masaki Nakagawa, Handwritten numeral recognition using neural networks:
Improving
the accuracy by discriminative training, Proc. 5th ICDAR, Bangalore, India, 1999,
pp.257-260.
9.
In-Jung
Kim, Cheng-Lin Liu, Jin H. Kim, Stroke-guided pixel matching for handwritten
Chinese character recognition, Proc. 5th
ICDAR, Bangalore, India, 1999, pp.665-668.
10.
Cheng-Lin
Liu, Masashi Koga, Hiroshi Sako, Hiromichi Fujisawa, Aspect ratio adaptive
normalization for handwritten character recognition, Advances in Multimodal
Interfaces--ICMI2000, LNCS Vol. 1948, T. Tan, Y. Shi, and W. Gao (Eds.),
Springer, 2000, pp.418-425.
11.
Cheng-Lin
Liu, Masashi Koga, Hiromichi Fujisawa, Lexicon-driven handwritten character
string recognition for Japanese address reading, Proc. 6th ICDAR,
Seattle, USA,
2001,
pp.877-881.
12.
Ondrej
Velek, Cheng-Lin Liu, Masaki Nakagawa, Generating realistic Kanji character
images from on-line patterns, Proc. 6th ICDAR, Seattle, USA,
2001,
pp.556-560.
13.
Cheng-Lin
Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa, Handwritten digit
recognition using state-of-the-art techniques, Proc. 8th IWFHR, Ontario,
Canada, 2002, pp.320-325.
14.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Integrated segmentation and recognition
of handwritten numerals: Comparison
of classification algorithms, Proc. 8th IWFHR, Ontario, Canada, 2002,
pp.303-308.
15.
Srihasha
Veeramachaneni,
George Nagy, Cheng-Lin Liu, Hiromichi Fujisawa, Classifying isogenous fields,
Proc. 8th IWFHR, Ontario, Canada, 2002, pp.41-46.
16.
Stefan
Jaeger, Masaki Nakagawa, Cheng-Lin Liu, Comparing on-line recognition of
Japanese and Western script in preparation for recognizing multi-language
documents, Proc. 8th IWFHR, Ontario, Canada, 2002,
84-89.
17.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Learning quadratic discriminant function
for handwritten character recognition, Proc. 16th ICPR, Quebec, Canada,
2002, Vol. IV, pp.44-47.
18.
Ondrej
Velek, Cheng-Lin Liu, Stefan Jaeger, Masaki Nakagawa, An improved
approach to generating Kanji images
from on-line characters,
Proc. 16th ICPR, Quebec, Canada, 2002, Vol. I,
pp.588-591.
19.
Srihasha
Veeramachaneni,
Hiromichi Fujisawa, Cheng-Lin Liu, George Nagy, Style-conscious quadratic field
classifier, Proc. 16th ICPR, Quebec, Canada, 2002, Vol. II,
pp.72-75.
20.
Cheng-Lin
Liu, Hiroshi Sako, Hiromichi Fujisawa, Handwritten Chinese character
recognition: Alternatives
to nonlinear normalization, Proc. 7th ICDAR, Edinburgh, Scotland, 2003,
pp.524-528.
21.
Hongwei
Hao, Cheng-Lin Liu, Hiroshi Sako, Confidence evaluation for combining diverse
classifiers, Proc. 7th ICDAR, Edinburgh, Scotland, 2003,
pp.760-764.
22.
Hongwei
Hao, Cheng-Lin Liu, Hiroshi Sako, Comparison of sequential search methods and
genetic algorithm for classifier selection, Proc. 7th ICDAR, Edinburgh,
Scotland, 2003, pp.765-769.
23.
Hiromichi
Fujisawa, Cheng-Lin Liu, Directional pattern matching for character recognition
revisited, Proc. 7th ICDAR, Edinburgh, Scotland, 2003,
pp.794-798.
24.
Cheng-Lin
Liu, Katsumi Marukawa, Handwritten numeral string recognition: Character-level
training vs. string-level training, Proc. 17th ICPR, Cambridge, UK, 2004,
Vol.1, pp.405-408.
25.
Cheng-Lin
Liu, Katsumi Marukawa, Normalization ensemble for handwritten character
recognition, Proc. 9th IWFHR, Tokyo, 2004,
pp.69-74.
26.
Cheng-Lin
Liu, Katsumi Marukawa, Global shape normalization for handwritten Chinese
character recognition: a new method, Proc. 9th IWFHR, Tokyo, Japan,
2004,
pp.300-305.
27.
Cheng-Lin
Liu, Ryuji
Mine, Masashi Koga, Building compact classifier for large character set
recognition
using
discriminative feature extraction, Proc.
8th
ICDAR,
Seoul, Korea, 2005,
pp.846-850.
28.
Cheng-Lin
Liu, Masashi Koga, Hiromichi Fujisawa, Gabor feature extraction for character
recognition: Comparison
with gradient feature, Proc.
8th
ICDAR,
Seoul, Korea, 2005,
pp.121-125.
29.
Cheng-Lin
Liu, Hiromichi Fujisawa, Classification and learning in character recognition:
comparison of methods and remaining problems, Proc. Int. Workshop on Neural Networks and
Learning in Document Analysis and Recognition, Seoul, Korea, August,
2005.
30.
Xinwen
Hou, Cheng-Lin Liu, Tieniu Tan, Learning boosted asymmetric classifiers for
object detection, Proc. IEEE Conference
on Computer Vision and Pattern Recognition, New York, 2006, Vol.1,
pp.330-338.
31.
Cheng-Lin
Liu, High accuracy handwritten Chinese character recognition using quadratic
classifiers with discriminative feature extraction, Proc. 18th ICPR, Hong Kong, 2006, Vol.2,
pp.942-945.
32.
Cheng-Lin
Liu, Polynomial network classifier with discriminative feature extraction, Structural, Syntactic, and Statistical
Pattern Recognition: Joint IAPR Int. Workshops, D.-Y. Yeung, et al. (Eds.),
LNCS Vol.4109, Springer, 2006, pp.732-740.
33.
Cheng-Lin
Liu, Xiang-Dong Zhou, Online Japanese character recognition using
trajectory-based normalization and direction feature extraction, Proc. 10th IWFHR, La Baule, France,
2006, pp.217-222.
34.
Cheng-Lin
Liu, Handwritten Chinese character recognition: Effects of shape normalization
and feature extraction, Summit on Arabic
and Chinese Handwriting Recognition (SACH06), University of Maryland,
College Park, MD, 2006, pp.13-27. (Invited speech)
35.
Srinivas
Andra, George Nagy, Cheng-Lin Liu, Frequency coding: An effective method for
combining dichotomizers, Document
Recognition and Retrieval XIV, San Jose, CA, Jan. 31-Feb. 1, Proceedings of
SPIE, Vol.6500, 2007.
36.
Sa
Wang, Cheng-Lin Liu, Lian Zheng, Feature selection by combining Fisher criterion
and principal feature analysis, Proc.
ICMLC 2007, Hong Kong, Vol.2, pp.1149-1154.
37.
Xiang-Dong
Zhou, Jin-Lun Yu, Cheng-Lin Liu, Takeshi Nagasaki, Katsumi Marukawa, Online
handwritten Japanese character string recognition incorporating geometric
context, Proc. 9th ICDAR, Curitiba,
Brazil, 2007, Vol.1, pp.48-52.
38.
Xiang-Dong
Zhou, Cheng-Lin Liu, Text/non-text ink stroke classification in Japanese
handwriting based on Markov random fields, Proc. 9th ICDAR, Curitiba, Brazil, 2007,
Vol.1, pp.377-381.
39.
Tian-Fu
Gao, Cheng-Lin Liu, LDA-based compound distance for handwritten Chinese
character recognition, Proc. 9th
ICDAR, Curitiba, Brazil, 2007, Vol.2, pp.904-908.
40.
Fei
Yin, Cheng-Lin Liu, Handwritten text line extraction by minimum spanning tree
clustering, Proc.5th Int. Conf. on
Wavelet Analysis and Pattern Recognition, Beijing, China, 2007, Vol.3,
pp.1123-1128.
41.
Xiao-Bo
Jin, Xinwen Hou, Cheng-Lin Liu, A hybrid generative-discriminative learning
algorithm for Bayesian network structure, Proc. 5th Int. Conf. on Wavelet Analysis and
Pattern Recognition, Beijing, China, 2007, Vol.2, pp.618-623.
42.
Cyril
Cassisa, V. Prinet, L. Shao, S. Simoens, Cheng-Lin Liu, Optical flow robust
estimation in a hybrid multi-resolution MRF framework, Proc. ICASSP 2008, Las Vegas, Nevada,
2008.
43.
Xiao-Hua
Liu, Cheng-Lin Liu, Xinwen Hou, A pooled subspace mixture density model for
pattern classification in high-dimensional spaces, Proc. IJCNN 2008, Hong Kong,
pp.2467-2472.
44.
Cheng-Lin
Liu, Partial discriminative training of neural networks for classification of
overlapping classes, Artificial Neural
Networks in Pattern Recognition: Third IAPR Workshop, Paris, France, 2008,
LNAI 5064, Springer, pp.137-146.
45.
Cheng-Lin
Liu, Ching Y. Suen, A new benchmark on the recognition of handwritten Bangla and
Farsi numeral characters, Proc. 11th
ICFHR, Montreal, Canada, Aug. 2008, pp.278-283.
46.
Fei
Yin, Cheng-Lin Liu, Handwritten text line segmentation by clustering with
distance metric learning, Proc. 11th
ICFHR, Montreal, Canada, Aug. 2008, p.229-234.
47.
Xiang-Dong
Zhou, Da-Han Wang, Cheng-Lin Liu, Grouping
text
lines
in online
handwritten
Japanese documents
by combining temporal and spatial information, Proc. 8th IAPR Int. Workshop on DAS,
Nara, Japan, Sep. 2008, pp.61-68.
48.
Yi-Feng
Pan, Xinwen Hou, Cheng-Lin Liu, A
robust system to detect and localize texts in natural scene images,
Proc. 8th IAPR Int. Workshop on DAS,
Nara, Japan, Sep. 2008, pp.35-42.
49.
Long-Long
Ma, Cheng-Lin Liu, A new radical-based approach to online handwritten Chinese
character recognition, Proc. 19th
ICPR, Tampa, USA, 2008.
50.
Xiao-Bo
Jin, Cheng-Lin Liu, Xinwen Hou, Prototype learning by margin-based conditional
log-likelihood loss, Proc. 19th ICPR,
Tampa, USA, 2008.
51.
Tian-Fu
Gao, Cheng-Lin Liu, Combining
quadratic classifier and pair discriminators by pairwise coupling for
handwritten Chinese character recognition, Proc.
19th ICPR,
Tampa, USA, 2008.
52.
Tong-Hua
Su, Tian-Wen Zhang, H.-J. Huang, Cheng-Lin Liu, Segmentation-free
recognizer based on enhanced four plane feature for realistic Chinese
handwriting, Proc.
19th ICPR,
Tampa, USA, 2008.
53.
Bilan
Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, A robust model for on-line
handwritten Japanese text recognition, Document Recognition and Retrieval XVI,
Proc. SPIE, Vol.7247, 2009.
54.
Yi-Feng
Pan, Xinwen Hou, Cheng-Lin Liu, Text localization in natural scene images based
on conditional random field, Proc. 10th
ICDAR, Barcelona, Spain, 2009, pp.6-10.
55.
Fei
Yin, Cheng-Lin Liu, A variational Bayes method for handwritten text line
segmentation, Proc. 10th ICDAR,
Barcelona, Spain, 2009, pp.436-440.
56.
Bilan
Zhu, Xiang-Dong Zhou, Cheng-Lin Liu, Masaki Nakagawa, Effect of improved path
evaluation for on-line handwritten Japanese text recognition, Proc. 10th ICDAR, Barcelona, Spain,
2009, pp.516-520.
57.
Xiang-Dong
Zhou, Cheng-Lin Liu, Masaki Nakagawa, Online handwritten Japanese character
string recognition using conditional random fields, Proc. 10th ICDAR, Barcelona, Spain,
2009, pp.521-525.
58.
Fei
Yin, Qiu-Feng Wang, Cheng-Lin Liu, A tool for ground-truthing text lines and
characters in off-line handwritten Chinese documents, Proc. 10th ICDAR, Barcelona, Spain,
2009, pp.951-955.
59.
Qiu-Feng
Wang, Fei Yin, Cheng-Lin Liu, Integrating language model in handwritten Chinese
text recognition, Proc. 10th ICDAR,
Barcelona, Spain, 2009, pp.1036-1040.
60.
Da-Han
Wang, Cheng-Lin Liu, J.-L. Yu, Xiang-Dong Zhou, CASIA-OLHWDB1: A database of
online handwritten Chinese characters, Proc. 10th ICDAR, Barcelona, Spain,
2009, pp.1206-1210.
61.
Yan-Ming
Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu, Subspace
regularization: a new semi-supervised learning method,
ECML PKDD2009, Bled,
Slovenia,
LNCS Vol.5782, Springer, 2009, pp.586-601.
62.
Heng
Wang, Xinwen Hou, Cheng-Lin Liu, Object
tracking
by bidirectional
learning
with feature
selection,
Proc. Int. Conf. Image Processing
(ICIP), Cairo, Egypt, 2009.
63.
Guoqiang
Zhong, Xinwen Hou, Cheng-Lin Liu, Relative distance-based Laplacian eigenmaps,
Proc. 2009 Chinese Conference on Pattern
Recognition (CCPR) and First CJK Workshop on Pattern Recognition (CJKPR),
Nanjing, China, 2009, pp.784-788.
64.
Long-Long
Ma, Cheng-Lin Liu, On-line handwritten Chinese character recognition based on
nested segmentation of radicals, Proc.
2009 Chinese Conference on Pattern Recognition (CCPR) and First CJK Workshop on
Pattern Recognition (CJKPR), Nanjing, China, 2009, pp.929-933.
65.
Ming-Bo
Wang, Cheng-Lin Liu, Class selection based iterative supervised latent semantic
indexing for text categorization, Proc.
Int. Conf. Information Engineering and Computer Science (ICIECS), Wuhan,
China, 2009, pp.261-264.
66.
Yan-Ming
Zhang, Yu Zhang, Dit-Yan Yeung, Cheng-Lin Liu, Xinwen Hou, Transductive learning
on adaptive graphs, Proc.
24th AAAI Conference on Artificial Intelligence,
2010, pp.661-666.
67.
Guoqiang
Zhong, Wu-Jun Li, Dit-Yan Yeung, Xinwen Hou, Cheng-Lin Liu, Gaussian process
latent random field, Proc.
24th AAAI Conference on Artificial Intelligence,
2010, pp.679-684.
68.
Cheng-Lin
Liu, One-vs-all training of prototype classifiers for pattern classification and
retrieval, Proc. 20th ICPR, Istanbul,
Turkey, 2010, pp.3328-3331.
69.
Bo
Xu, Kaizhu Huang, Cheng-Lin Liu, Dimensionality reduction by minimal distance
maximization, Proc. 20th ICPR,
Istanbul, Turkey, 2010, pp.569-572.
70.
Xiao-Bo
Jin, Xinwen Hou, Cheng-Lin Liu, Multi-class AdaBoost with hypothesis margin, Proc. 20th ICPR, Istanbul, Turkey, 2010,
pp.65-68.
71.
Heng
Wang, Xinwen Hou, Cheng-Lin Liu, Boosting incremental semi-supervised
discriminant analysis for tracking, Proc.
20th ICPR, Istanbul, Turkey, 2010, pp.2748-2751.
72.
Kaizhu
Huang, Rong Jin, Zenglin Xu, Cheng-Lin Liu, Robust metric learning with smooth
optimization, Proc. 26th Int. Conf.
Uncertainty in Artificial Intelligence (UAI), Catalina Island, CA,
2010.
73.
Xiao-Hua
Liu, Cheng-Lin Liu, Discriminative training of subspace Gaussian mixture model
for pattern classification, Proc. 6th
Int. Conf. on Intelligent Computing (ICIC), Changsha, China, LNCS Vol.6216,
Springer, 2010, pp.213-221.
74.
An
Lu, Xinwen Hou, X. Chen, Cheng-Lin Liu, Insect species recognition using sparse
representation, Proc. BMVC 2000,
Aberystwyth, UK, 2010.
75.
Yi-Feng
Pan, Cheng-Lin Liu, Xinwen Hou, Fast scene text localization by learning-based
filtering and verification, Proc. Int.
Conf. Image Processing (ICIP), Hong Kong, 2010, pp.2269-2272.
76.
Fei
Yin, Qiu-Feng Wang, Cheng-Lin Liu, Integrating geometric
context
for
text alignment of handwritten
Chinese documents,
Proc. 12th ICFHR, Kolkata, India,
2010, pp.7-12.
77.
Tong-Hua
Su, Cheng-Lin Liu, Improving
HMM-based
Chinese handwriting
recognition
using
Delta features
and synthesized
string
samples,
Proc. 12th ICFHR, Kolkata, India,
2010, pp.78-83.
78.
Heng
Zhang, Da-Han Wang, Cheng-Lin Liu, Keyword spotting from online Chinese
handwritten documents using one-vs-all trained character classifier, Proc. 12th ICFHR, Kolkata, India, 2010,
pp.271-276.
79.
Xiang-Dong
Zhou, Da-Han Wang, Masaki Nakagawa, Cheng-Lin Liu, Error reduction by confusing
characters discrimination for
online
handwritten
Japanese character
recognition,
Proc. 12th ICFHR, Kolkata, India,
2010, pp.495-500.
80.
Long-Long
Ma, Adrien Delaye, Cheng-Lin Liu, Special radical detection by statistical
classification
for on-line
handwritten
Chinese character
recognition,
Proc. 12th ICFHR, Kolkata, India,
2010, pp.501-506.
81.
Bo
Xu, Kaizhu Huang, Cheng-Lin Liu,
Similar characters recognition by critical region selection based on average
symmetric uncertainty,
Proc. 12th ICFHR, Kolkata, India,
2010, pp.527-532.
82.
Cheng-Lin
Liu, Fei Yin, Da-Han Wang, Qiu-Feng Wang, Online and offline handwritten Chinese
character recognition: benchmarking on new databases, Proc. 2nd CJK Joint Workshop on Pattern
Recognition (CJKPR2010), Fukuoka, Japan, 2010, pp.197-202.
83.
Da-Han
Wang, Cheng-Lin Liu, An approach to real-time recognition of online handwritten
Chinese sentences, Proc. 2nd CJK Joint
Workshop on Pattern Recognition (CJKPR2010), Fukuoka, Japan, 2010,
pp.203-208.
84.
Guoqiang
Zhong, Kaizhu Huang, Cheng-Lin Liu, Learning ECOC and dichotomizers jointly from
data, Neural Information Processing:
Theory and Algorithms - ICONIP 2010, LNCS Vol.6443, Springer, 2010,
pp.494-502.
85.
Xu-Yao
Zhang, Cheng-Lin Liu, Style
transfer
matrix
learning
for writer
adaptation,
Proc. 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 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.
118.Xu-Yao
Zhang, Cheng-Lin Liu, Locally smoothed modified quadratic discriminant function,
Proc. 12th ICDAR, Washington D.C.,
2013, pp.8-12.
119.Yan-Fei
Lv, Lin-Lin Huang, Da-Han Wang, Cheng-Lin Liu, Learning-based candidate
segmentation scoring for real-time recognition of online overlaid Chinese
handwriting, Proc. 12th ICDAR,
Washington D.C., 2013, pp.74-78.
120.Heng
Zhang, Xiang-Dong Zhou, Cheng-Lin Liu, Keyword spotting in online Chinese
handwritten documents with candidate scoring based on semi-CRF model, Proc. 12th ICDAR, Washington D.C., 2013,
pp.567-571.
121.Ming-Ke
Zhou, Fei Yin, Cheng-Lin Liu, GPU-Based fast training of discriminative learning
quadratic discriminant function for handwritten Chinese character recognition,
Proc. 12th ICDAR, Washington D.C.,
2013, pp.842-846.
122.Xiang-Dong
Zhou, Feng Tian, Cheng-Lin Liu, Hong-An Wang, Minimum risk training for
handwritten Chinese/Japanese text recognition using semi-Markov conditional
random fields, Proc. 12th ICDAR,
Washington D.C., 2013, pp.940-944.
123.Kai
Chen, Fei Yin, Cheng-Lin Liu, Hybrid page segmentation with efficient whitespace
rectangles extraction and grouping, Proc.
12th ICDAR, Washington D.C., 2013, pp.958-962.
124.Adrien
Delaye, Cheng-Lin Liu, Graphics extraction from heterogeneous online documents
with hierarchical random fields, Proc.
12th ICDAR, Washington D.C., 2013, pp.1007-1011.
125.Fei
Yin, Ming-Ke Zhou, Qiu-Feng Wang, Cheng-Lin Liu, Style consistent perturbation
for handwritten Chinese character recognition, Proc. 12th ICDAR, Washington D.C., 2013,
pp.1051-1055.
126.Fei
Yin, Qiu-Feng Wang, Xu-Yao Zhang, Cheng-Lin Liu, ICDAR 2013 Chinese handwriting
recognition competition, Proc. 12th
ICDAR, Washington D.C., 2013, pp.1095-1101.
127.Bo
Bai, Fei Yin, Cheng-Lin Liu, Scene text localization using gradient local
correlation, Proc. 12th ICDAR,
Washington D.C., 2013, pp.1412-1416.
128.Yan-Ming
Zhang, Kaizhu Huang, Guanggang Geng, Cheng-Lin Liu, Fast kNN graph construction
with locality sensitive hashing, Machine
Learning and Knowledge Discovery in Databases, LNCS Vol.8190, Springer,
2013, pp.660-674.
129.Xiao-Jie
Jin, Qiu-Feng Wang, Xinwen Hou, Cheng-Lin Liu, Visual gesture character string
recognition by classification-based segmentation with stroke deletion, Proc. 2nd ACPR, Okinawa, Japan, 2013,
pp.120-124.
130.Yinglu
Liu, Xinwen Hou, Cheng-Lin Liu, A compact spatial feature representation for
image classification, Proc. 2nd ACPR,
Okinawa, Japan, 2013,
pp.601-605.
131.Xueyun
Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Aircraft detection by deep
belief nets, Proc. 2nd ACPR, Okinawa,
Japan, 2013,
pp.54-58.
132.Xueyun
Chen, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan, Vehicle detection in satellite
images by parallel deep convolutional neural networks, Proc. 2nd ACPR, Okinawa, Japan,
2013,
pp.181-185.
133.Xu-Yao
Zhang, Kaizhu Huang, Cheng-Lin Liu, Feature transformation with class
conditional decorrelation, Proc.
13th ICDM,
Dallas, 2013, pp.887-896.
134.Bo
Bai, Fei Yin, Cheng-Lin Liu, A seed-based segmentation method for scene text
extraction, Proc. 11th IAPR Workshop on
DAS, Tours, France, 2014, pp.262-266.
135.Guo-Sen
Xie, Xu-Yao Zhang, Yan-Ming Zhang and Cheng-Lin Liu, Integrating supervised
subspace criteria with restricted Boltzmann machine for feature extraction, Proc. 2014 IJCNN, Beijing,
pp.1622-1629.
136.Ming-Ke
Zhou, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Improving handwritten Chinese
character recognition with discriminative quadratic feature extraction, Proc. 22nd ICPR, Stockholm, 2014,
pp.244-249.
137.Yi-Chao
Wu, Fei Yin, Cheng-Lin Liu, Evaluation of geometric context models for
handwritten numeral string recognition, Proc. 14th ICFHR, Crete Island, Greece,
2014, pp.193-198.
138.Bo-Yuan
Feng, Mingwu Ren, Xu-Yao Zhang, Cheng-Lin Liu, Effective license plate detection
using fast candidate region selection and covariance feature based filtering, Proc. 11th Int. Conf. on Advanced Video and
Signal-Based Surveillance (AVSS), Seoul, Korea, 2014.
139.Guo-Sen
Xie, Xu-Yao Zhang, Cheng-Lin Liu, Efficient feature coding based on auto-encoder
network for image classification, Proc.
ACCV 2014, Singapore, 2014.
140.Dongdong
Wang, Shigang Yue, Jiawei Xu, Xinwen Hou, Cheng-Lin Liu, A saliency-based
cascade method for fast traffic sign detection, IEEE Intelligent Vehicles Symposium,
Seoul, Korea, 2015, pp.180-185.
141.Peng
Wang, Jiaming Xu, Bo Xu, Cheng-Lin Liu, Heng Zhang, Fangyuan Wang, Hongwei Hao,
Word embedding clustering and convolutional neural network for short text
categorization, ACL-IJCNLP 2015,
Beijing, China, 2015.
142.Fei
Yin, Paipai Liu, Linlin Huang, Cheng-Lin Liu, Lexicon-driven recognition of
one-stroke character strings in visual gesture, Proc. 13th ICDAR, Nancy, France, 2015,
pp.421-425.
143.Kai
Chen, Fei Yin, Amir Hussain, Cheng-Lin Liu, Efficient text localization in
born-digital images by local contrast-based segmentation, Proc. 13th ICDAR, Nancy, France, 2015,
pp.291-295.
144.Yi-Chao
Wu, Fei Yin, Cheng-Lin Liu, Evaluation of neural network language models in
handwritten Chinese text recognition, Proc. 13th ICDAR, Nancy, France, 2015,
pp.166-170.
145.Xin
He, Yi-Chao Wu, Kai Chen, Fei Chen, Cheng-Lin Liu, Neural network based
over-segmentation for scene text recognition, Proc. 3rd ACPR, Kuala Lumpur, Malaysia,
2015.
146.Dongdong
Wang, Xinwen Hou, Cheng-Lin Liu, Traffic sign detection from video: a fast
approach with tracking, Proc. 3rd
ACPR, Kuala Lumpur, Malaysia, 2015.
147.Guo-Sen
Xie, Xu-Yao Zhang, Xiangbo Shu, Shuicheng Yan, Cheng-Lin Liu, Task-driven
feature pooling for image classification, 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.
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 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.
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 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.
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.
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-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.
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.
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