Pattern Recognition

Machine Learning

Neural Networks

Document Analysis and Recognition

Handwriting Recognition

-  Ph.D, Pattern Recognition and Intelligent Control (1995.6)
Institute of Automation of Chinese Academy of Sciences, Beijing, China

-  M.E., Signals and Systems (1992.3)
Department of Electronic Engineering, Beijing Polytechnic University, Beijing, China

-  B.Sc., Electronic Engineering (1989.7)
Department of Radio and Information Engineering, Wuhan University, Wuhan, China

-  Professor (2005.1-present), Deputy Director from 2006.11, Director from 2014.1
National Laboratory of Pattern Recognition (NLPR), Institute of Automation of Chinese Academy of Sciences, Beijing, China

-  Researcher (1999.3-2004.12), Senior Researcher from 2002
Central Research Laboratory, Hitachi Ltd., Tokyo, Japan

-  Postdoctoral Fellow (1997.11-1999.3)
Tokyo University of Agriculture and Technology (TUAT), Tokyo, Japan

-  Postdoctoral Fellow (1996.3-1997.10)
Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

CAAI Fellow (2017)

CAA Fellow (2016)

IEEE Fellow (2015)

IAPR Fellow (2012)

IAPR/ICDAR Young Investigator Award, Seoul, Korea, 2005

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

1.          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.

2.          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.

3.          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.

4.          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.

5.          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.

6.          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.

7.          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.

8.      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.

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

10.      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.

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

12.      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.

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

14.      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.

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

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

17.      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.

18.      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.

19.      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.

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

21.      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.

22.      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.

23.      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.

24.      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.

25.      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.

26.      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.

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

28.      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.

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

30.      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.

31.      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.

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

33.      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.

34.      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.

35.      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.

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

37.      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.

38.      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.

39.      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.

40.      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.

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

42.      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.

43.      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.

44.      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.

45.      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.

46.      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.

47.      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.

48.      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.

49.      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.

50.      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.

51.      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.

52.      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.

53.      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.

54.      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.

55.      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.

56.      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.

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

58.      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.

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

60.      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.

61.      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.

62.      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.

63.      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.

64.      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.

65.      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.

66.      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.

67. 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.

68. Yuan-Yuan Shen, Cheng-Lin Liu, Incremental adaptive learning vector quantization for character recognition with continuous style adaptation, Cognitive Computation, 10: 334-346, 2018.

69. Tie-Qiang Wang, Cheng-Lin Liu, Fully  Convolutional  Network  Based  Skeletonization  for  Handwritten  Chinese  Character, 32nd AAAI Conference on Artificial Intelligence (AAAI 2018), New Orleans, USA, February 2-7, 2018.

70. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Robust Classification with Convolutional Prototype Learning, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

71. Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu, Practical block-wise neural network architecture generation, CVPR 2018, Salt Lake City, USA, June 18-22, 2018.

72. Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu, Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, IJCAI 2018.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

79. 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.

80. 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.

81. Yunxue Shao, Cheng-Lin Liu, Teaching machines to write like humans using L-attributed grammar, Engineering Applications of Artificial Intelligence, 90: 103489, 2020.

82. 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.

83. 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.

84. Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen, Towards robust pattern recognition: A review, Proceedings of the IEEE, 108(6): 894-922, 2020.

85. 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.

86. 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.

87. 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.

88. Cong Wang, Cheng-Lin Liu, Multi-branch guided attention network for irregular text recognition, Neurocomputing, 425: 278-289, 2021.

89. 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.

90. 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, 129: 619-637, 2021.

91. 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, 43(7): 2314-2328, 2021.

92. Tie-Qiang Wang, Xiaoyi Jiang, Cheng-Lin Liu, Query pixel guided stroke extraction with model-based matching for offline handwritten Chinese characters, Pattern Recognition, 123: 108416, 2022.

93. Ting-Bing Xu, Cheng-Lin Liu, Deep neural network self-distillation exploiting data representation invariance, IEEE Trans. Neural Networks and Learning Systems, 33(11): 257-269, 2022.

94. Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Qing Yang, Cheng-Lin Liu, Convolutional prototype network for open set recognition, IEEE Trans. Pattern Analysis and Machine Intelligence, 44(5): 2358-2370, 2022.

95. Xiao-Long Yun, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu, Instance GNN: A learning framework for joint symbol segmentation and recognition in online handwritten diagrams, IEEE Trans. Multimedia, 24: 2580-2594, 2022.

96. Mei Wang, Weihong Deng, Cheng-Lin Liu, Unsupervised structure-texture separation network for oracle character recognition, IEEE Trans. Image Processing, 31: 3137-3150, 2022.

97. Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu, Decision-based adversarial attack with frequency mixup, IEEE Trans. Information Forensics and Security, 17: 1038-1052, 2022.

98. Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Mixed-supervised scene text detection with expectation-maximization algorithm, IEEE Trans. Image Processing, 31: 5513-5528, 2022.

99. Xiang Ao, Xu-Yao Zhang, Cheng-Lin Liu, Cross-modal prototype learning for zero-shot handwritten character recognition, Pattern Recognition, 131：108859, 2022.

100. Xiao-Hui Li, Fei Yin, He-Sen Dai, Cheng-Lin Liu, Table structure recognition and form parsing by end-to-end object detection and relation parsing, Pattern Recognition, 132: 108946, 2022.

101. Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu, Meta-prototypical learning for task agnostic few-shot recognition, IEEE Trans. Neural Networks and Learning Systems, 33(11): 6990-6996, 2022.

102.  Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu, Adaptable global network for whole brain segmentation with symmetric consistence loss, Cognitive Computation, 14: 2246-2259, 2022.

103. Ming-Liang Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu, Towards prior gap and representation gap for long-tailed recognition, Pattern Recognition, 133: 109312, 2023.

105. Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu, Adversarial training with distribution normalization and margin balance, Pattern Recognition, 136: 109182, 2023.

106. Xu-Yao Zhang, Guo-Sen Xie, Xiuli Li, Tao Mei, Cheng-Lin Liu, A survey on learning to reject, Proceedings of the IEEE, 111(2): 185-215, 2023.

107.  Yu-Ting Yang, Yan-Ming Zhang, Xiao-Long Yun, Fei Yin, Cheng-Lin Liu, DyGAT: Dynamic stroke classification of online handwritten documents and sketches, Pattern Recognition, 141: 109564, 2023.

108. Mengbiao Zhao, Wei Feng, Fei Yin, Cheng-Lin Liu, Texts as points: Scene text detection with point supervision, Pattern Recognition Letters, 170: 1-8, 2023.

109. Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Imitating the oracle: Towards calibrated model for class incremental learning, Neural Networks, 164: 38-48, 2023.

110.  Fei Zhu, Xu-Yao Zhang, Rui-Qi Wang, Cheng-Lin Liu, Learning by seeing more classes, IEEE Trans. Pattern Analysis and Machine Intelligence, 45(6): 7477-7493, 2023.

111. 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.

112.  Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu, Semantic-aware video text detection, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021.

113.  Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu, Prototype augmentation and self-supervision for incremental learning, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, June 19-25, 2021.

114. Yunfei Guo, Wei Feng, Fei Yin, Tao Xue, Shuqi Mei, Cheng-Lin Liu, Learning to understand traffic signs, ACM Multimedia 2021, Chengdu, China, October 20-24, 2021.

115. Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, Class-incremental learning via dual augmentation, NeurIPS 2021.

116. Ming-Liang Zhang, Fei Yin, Yi-Han Hao, Cheng-Lin Liu, Plane Geometry Diagram Parsing, IJCAI-ECAI 2022, Vienna, Austria, June 23-29, 2022.

117. Yunfei Guo, Fei Yin, Wei Feng, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu, Social relation reasoning based on triangular constraints, AAAI 2023.

118. Jing-Yu Liu, Yan-Ming Zhang, Fei Yin, Cheng-Lin Liu, Streaming stroke classification of online handwriting, ICASSP 2023.

119. Fei Zhu, Zhen Cheng, Xu-Yao Zhang, Cheng-Lin Liu, OpenMix: Exploring Outlier Samples for Misclassification Detection, CVPR 2023.

Program Co-Chair, 27^th ICPR, Kolkata, India, 2024

General Co-Chair, ACPR 2023

General Co-Chair, 26^th ICPR, August 21-25, Montreal, 2022

General Co-Chair, 6^th Asian Conference on Pattern Recognition (ACPR), Jeju Island, Korea, hybrid, November 9-12, 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

已指导学生

刘晓华  博士研究生  081104-模式识别与智能系统  

高天孚  博士研究生  081104-模式识别与智能系统  

靳小波  博士研究生  081104-模式识别与智能系统  

周祥东  博士研究生  081104-模式识别与智能系统  

尹田田  硕士研究生  081203-计算机应用技术  

于金伦  硕士研究生  081104-模式识别与智能系统  

潘屹峰  博士研究生  081104-模式识别与智能系统  

殷飞  博士研究生  081104-模式识别与智能系统  

马龙龙  博士研究生  081104-模式识别与智能系统  

汪明波  硕士研究生  081104-模式识别与智能系统  

仲国强  博士研究生  081104-模式识别与智能系统  

张燕明  博士研究生  081104-模式识别与智能系统  

陆安  博士研究生  081104-模式识别与智能系统  

徐博  博士研究生  081104-模式识别与智能系统  

王秋锋  博士研究生  081104-模式识别与智能系统  

王大寒  博士研究生  081104-模式识别与智能系统  

王恒  博士研究生  081104-模式识别与智能系统  

齐欣  硕士研究生  081104-模式识别与智能系统  

索昆  博士研究生  081203-计算机应用技术  

许亮  博士研究生  081104-模式识别与智能系统  

张恒  博士研究生  081104-模式识别与智能系统  

杨沛沛  博士研究生  081104-模式识别与智能系统  

陈雪云  博士研究生  081104-模式识别与智能系统  

张煦尧  博士研究生  081104-模式识别与智能系统  

白博  博士研究生  081104-模式识别与智能系统  

刘颖璐  博士研究生  081104-模式识别与智能系统  

周明可  博士研究生  081104-模式识别与智能系统  

刘晓龙  硕士研究生  081104-模式识别与智能系统  

邱泉  硕士研究生  081104-模式识别与智能系统  

丁昆  硕士研究生  085211-计算机技术  

吴玉芳  硕士研究生  081104-模式识别与智能系统  

杨学行  硕士研究生  081104-模式识别与智能系统  

谢国森  博士研究生  081104-模式识别与智能系统  

王鹏  博士研究生  081104-模式识别与智能系统  

陈凯  博士研究生  081104-模式识别与智能系统  

王冬冬  博士研究生  081104-模式识别与智能系统  

靳潇杰  硕士研究生  081104-模式识别与智能系统  

谭必仁  硕士研究生  085211-计算机技术  

贺欣  硕士研究生  081104-模式识别与智能系统  

幸子健  硕士研究生  081104-模式识别与智能系统  

王聪  博士研究生  081104-模式识别与智能系统  

许庭兵  博士研究生  081203-计算机应用技术  

吴一超  博士研究生  081104-模式识别与智能系统  

沈媛媛  博士研究生  081104-模式识别与智能系统  

何文浩  博士研究生  081104-模式识别与智能系统  

王铁强  博士研究生  081104-模式识别与智能系统  

杨杰  博士研究生  081104-模式识别与智能系统  

许铭潮  硕士研究生  081203-计算机应用技术  

钟钊  博士研究生  081104-模式识别与智能系统  

冯伟  博士研究生  081104-模式识别与智能系统  

尉德利  硕士研究生  081203-计算机应用技术  

庞宏伟  硕士研究生  085211-计算机技术  

云小龙  硕士研究生  085211-计算机技术  

谢国旺  硕士研究生  085211-计算机技术  

李晓辉  博士研究生  081104-模式识别与智能系统  

高立崑  硕士研究生  081104-模式识别与智能系统  

吴金文  博士研究生  081104-模式识别与智能系统  

陈卓  博士研究生  081104-模式识别与智能系统  

现指导学生

张明亮  博士研究生  081104-模式识别与智能系统  

赵元兴  博士研究生  081203-计算机应用技术  

张姣  博士研究生  081104-模式识别与智能系统  

郭宏宇  博士研究生  081203-计算机应用技术  

敖翔  博士研究生  081104-模式识别与智能系统  

刘恒业  硕士研究生  085211-计算机技术  

熊永誉  硕士研究生  085211-计算机技术  

徐玥  博士研究生  081104-模式识别与智能系统  

朱飞  博士研究生  081104-模式识别与智能系统  

吴鑫健  博士研究生  081104-模式识别与智能系统  

赵梦彪  博士研究生  081104-模式识别与智能系统  

王瑞琪  博士研究生  081104-模式识别与智能系统  

陈懿  硕士研究生  085400-电子信息