基本信息
刘成林  男  博导  中国科学院自动化研究所
电子邮件: chenglin.liu@ia.ac.cn
通信地址: 北京中科院自动化所模式识别国家重点实验室
邮政编码: 100190

研究领域

模式识别理论与方法
文档分析与识别

教育背景

1992-03--1995-06   中科院自动化所   博士
1989-09--1992-03   北京工业大学   硕士
1985-09--1989-07   武汉大学   学士
学历

武汉大学,1985-1989,理学学士
北京工业大学,1989-1992,工学硕士
中科院自动化研究所,1992-1995,工学博士

学位
中科院自动化研究所,1995,工学博士
出国学习工作
1996.3-1997.10,韩国科学技术院(KAIST),博士后
1997.11-1999.3,东京农工大学,博士后
1999.3-2004.12,日立中央研究所,研究员

工作经历

   
工作简历
2005-01~现在, 中国科学院自动化研究所, 研究员
1999-03~2004-12,日立中央研究所, 研究员
1997-11~1999-03,东京农工大学, 博士后
1996-03~1997-10,韩国科学技术院, 博士后
社会兼职
2022-08-22-2024-12-09,国际模式识别学会(IAPR), 第二副主席
2020-11-30-2020-12-04,Asian Conference on Computer Vision (ACCV 2020), Program Co-Chair
2020-10-15-2020-10-17,中国模式识别与计算机视觉大会, 大会主席
2020-10-01-今,中国图象图形学学报, 领域主编
2020-09-06-2020-09-09,17th International Conference on Frontiers of Handwriting Recognition, Program Co-Chair
2020-07-26-2020-07-29,15th International Workshop on Document Analysis Systems, General Chair
2019-10-28-今,中国人工智能学会, 副理事长
2019-09-18-2019-09-23,15th Int. Conf. on Document Analysis and Recognition, Program Chair
2018-08-20-2018-08-24,24th Int. Conf. on Pattern Recognition (ICPR), Program Chair
2017-11-08-2017-11-14,14th Int. Conf. on Document Analysis and Recognition (ICDAR 2017), Area Chair
2016-12-31-今,Pattern Recognition, Associate Editor-in-Chief
2016-06-01-今,中国自动化学会模式识别与智能系统专委会, 主任
2016-01-01-今,Cognitive Computation, Associate Editor
2015-11-01-今,自动化学报, 副主编
2015-01-01-今,IEEE Fellow,
2014-09-30-2019-10-31,中国人工智能学会模式识别专委会, 主任
2012-11-01-今,IAPR Fellow,
2010-12-31-今,Int. J. Document Analysis and Recognition, Associate Editor
2007-12-31-今,Image and Vision Computing, Associate Editor

教授课程

模式识别
模式识别与机器学习
控制科学与工程系列讲座

专利与奖励

   
奖励信息
(1) 视觉运动模式学习与理解的理论与方法, 二等奖, 国家级, 2020
(2) 中国科学院北京分院科技成果转化奖一等奖, 一等奖, 院级, 2018
(3) 国家百千万人才工程“有突出贡献中青年专家”, 一等奖, 国家级, 2017
(4) 中科院朱李月华优秀教师奖, 一等奖, 院级, 2016
(5) IAPR/ICDAR青年学者奖, 一等奖, 其他, 2005
专利成果
[1] 殷飞, 王瑞琪, 刘成林, 刘龙, 薛涛, 李玉梅. 一种图片筛选方法、装置及电子设备. CN: CN110321892A, 2019-10-11.

[2] 刘成林, 王铁强. 基于全卷积神经网络的中文字符图像笔划提取方法、系统. CN: CN110232337A, 2019-09-13.

[3] 刘成林, 李晓辉, 殷飞. 试卷内容自动分类的版面分析方法、系统. CN: CN109685065A, 2019-04-26.

[4] 殷飞, 张颐康, 刘成林. 手写汉字书写质量评价方法及系统. CN: CN109543777A, 2019-03-29.

[5] 殷飞, 吴金文, 孙俊, 刘成林. 基于图半监督学习的文档二值化处理方法、系统、装置. CN: CN109460735A, 2019-03-12.

[6] 刘成林, 董振江, 陈凯, 贾霞, 殷飞, 陈和香. 一种图像文本检测方法及系统、用户终端及服务器. CN: CN107977592A, 2018-05-01.

[7] 徐博, 吴玉芳, 张恒, 郝红卫, 刘成林. 基于非监督关键二元词串提取的微博文本自动摘要方法. CN: CN104216875A, 2014-12-17.

[8] 刘成林, 靳潇杰, 王秋锋, 侯新文. 一种空中手写字符串识别方法. CN: CN103577843A, 2014-02-12.

[9] 陈雪云, 刘成林, 向世明, 潘春洪. 用于目标图像分割的全局阈值分割方法. CN: CN102819841A, 2012-12-12.

[10] 刘成林, 白博, 殷飞. 用于视频中文本区域检测与定位的方法. CN: CN102542268A, 2012-07-04.

[11] 刘成林, 白博, 殷飞. 一种视频字幕文本提取和识别的方法. CN: CN102332096A, 2012-01-25.

[12] 刘成林, 王大寒. 一种联机手写句子实时识别方法. CN: CN101853126A, 2010-10-06.

出版信息

   
发表论文
[1] Zhang, MingLiang, Zhang, XuYao, Wang, Chuang, Liu, ChengLin. Towards prior gap and representation gap for long-tailed recognition. PATTERN RECOGNITION[J]. 2023, 133: http://dx.doi.org/10.1016/j.patcog.2022.109012.
[2] Zhang, XuYao, Xie, GuoSen, Li, Xiuli, Mei, Tao, Liu, ChengLin. A Survey on Learning to Reject. PROCEEDINGS OF THE IEEE[J]. 2023, 111(2): 185-215, http://dx.doi.org/10.1109/JPROC.2023.3238024.
[3] Zhu, Fei, Cheng, Zhen, Zhang, XuYao, Liu, ChengLin. Imitating the oracle: Towards calibrated model for class incremental learning. NEURAL NETWORKS[J]. 2023, 164: 38-48, http://dx.doi.org/10.1016/j.neunet.2023.04.010.
[4] Liu, Chang, Yang, Chun, Qin, HaiBo, Zhu, Xiaobin, Liu, ChengLin, Yin, XuCheng. Towards open-set text recognition via label-to-prototype learning. PATTERN RECOGNITION[J]. 2023, 134: http://dx.doi.org/10.1016/j.patcog.2022.109109.
[5] Wang, RuiQi, Zhu, Fei, Zhang, XuYao, Liu, ChengLin. Training with scaled logits to alleviate class-level over-fitting in few-shot learning. NEUROCOMPUTING[J]. 2023, 522: 142-151, http://dx.doi.org/10.1016/j.neucom.2022.12.011.
[6] YuTing Yang, YanMing Zhang, XiaoLong Yun, Fei Yin, ChengLin Liu. DyGAT: Dynamic stroke classification of online handwritten documents and sketches. Pattern Recognition[J]. 2023, 141: [7] Cheng, Zhen, Zhu, Fei, Zhang, XuYao, Liu, ChengLin. Adversarial training with distribution normalization and margin balance. PATTERN RECOGNITION[J]. 2023, 136: http://dx.doi.org/10.1016/j.patcog.2022.109182.
[8] Wang, Mei, Deng, Weihong, Liu, ChengLin. Unsupervised Structure-Texture Separation Network for Oracle Character Recognition. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2022, 31: 3137-3150, http://dx.doi.org/10.1109/TIP.2022.3165989.
[9] Zheng Xu, Fei Yin, Peipei Yang, Cheng-Lin Liu. Document Image Rectification in Complex Scene Using Stacked Siamese Networks. International Conference on Pattern Recognitionnull. 2022, [10] 何平, 张恒, 刘成林. 基于多尺度注意力机制的场景文本擦除. 模式识别与人工智能[J]. 2022, [11] XiuChuan Li, XuYao Zhang, Fei Yin, ChengLin Liu. Decision-based adversarial attack with frequency mixup. IEEETRANSINFORMATIONFORENSICSANDSECURITYTIFS[J]. 2022, 1038-1052, [12] Fei Zhu, Zhen Cheng, 张煦尧, 刘成林. Rethinking confidence reliability for failure prediction. European Conference on Computer Vision (ECCV)null. 2022, [13] Yuan-Xing Zhao, Zhang, Yan-Ming, Ming Song, 刘成林. Adaptable global network for whole brain segmentation with symmetric consistence loss. Cognitive Computation[J]. 2022, 12: 2246-2259, [14] Jiaqi Zhang, Xiaoyi Jiang, 刘成林. Interpolation kernel machine and indefinite kernel methods for graph classification. ICPRAInull. 2022, [15] Rui-Qi Wang, 张煦尧, 刘成林. Meta-prototypical learning for task agnostic few-shot recognition. IEEE Trans. Neural Networks and Learning Systems,[J]. 2022, [16] Longfei Ding, 赵梦彪, 曾水玲, Fei Yin, 刘成林. A large-scale database for chemical structure recognition and preliminary evaluation. ICPRnull. 2022, [17] HongMing Yang, XuYao Zhang, Fei Yin, Qing Yang, ChengLin Liu. Convolutional Prototype Network for Open Set Recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2022, 44(5): 2358-2370, [18] XiaoHui Li, Fei Yin, HeSen Dai, ChengLin Liu. Table Structure Recognition and Form Parsing by End-to-End Object Detection and Relation Parsing. PATTERN RECOGNITION[J]. 2022, 132: 108946-, http://dx.doi.org/10.1016/j.patcog.2022.108946.
[19] 于明明, Heng Zhang, 刘成林. An efficient prototype-based model for handwritten text recognition with multi-loss fusion (best paper award). ICFHRnull. 2022, [20] Xu, TingBing, Liu, ChengLin. Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2022, 33(1): 257-269, http://dx.doi.org/10.1109/TNNLS.2020.3027634.
[21] Guo Hongyu, Wang Chuang, Yin Fei, Heng-Ye Li, Wu Jinwen, Liu, Cheng-Lin. Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition. ICPRnull. 2022, [22] Kunal Biswas, P. Shivakumara, S. Sivanthi, Umapada Pal, Yue Lu, 刘成林. A new deep fuzzy based MSER model for multiple document images classification. ICPRAInull. 2022, [23] Ayan Banerjee, Palaiahnakote Shivakumara, Umapada Pal, Ramachandra Raghavendra, ChengLin Liu. A comprehensive scheme for tattoo text detection. PATTERN RECOGNITION LETTERS[J]. 2022, 163: 168-179, http://dx.doi.org/10.1016/j.patrec.2022.10.007.
[24] Zhao, Mengbiao, Feng, Wei, Yin, Fei, Zhang, XuYao, Liu, ChengLin. Mixed-Supervised Scene Text Detection With Expectation-Maximization Algorithm. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2022, 31: 5513-5528, http://dx.doi.org/10.1109/TIP.2022.3197987.
[25] Zhang, MingLiang, Yin, Fei, Hao, YiHan, Liu, ChengLin. Plane Geometry Diagram Parsing. International Joint Conference on Artificial Intelligencenull. 2022, [26] Wang, TieQiang, Jiang, Xiaoyi, Liu, ChengLin. Query Pixel Guided Stroke Extraction with Model-Based Matching for Offline Handwritten Chinese Characters. PATTERN RECOGNITION[J]. 2022, 123: 108416-, http://dx.doi.org/10.1016/j.patcog.2021.108416.
[27] Ao, Xiang, Zhang, XuYao, Liu, ChengLin. Cross-modal prototype learning for zero-shot handwritten character recognition. PATTERN RECOGNITION[J]. 2022, 131: 108859-, http://dx.doi.org/10.1016/j.patcog.2022.108859.
[28] Yun, Xiao-Long, Zhang, Yan-Ming, Yin, Fei, Liu, Cheng-Lin. Instance GNN: A Learning Framework for Joint Symbol Segmentation and Recognition in Online Handwritten Diagrams. IEEE Transactions on Multimedia[J]. 2022, 24: 2580-2594, [29] Feng, Wei, Yin, Fei, Zhang, XuYao, He, Wenhao, Liu, ChengLin. Residual Dual Scale Scene Text Spotting by Fusing Bottom-Up and Top-Down Processing. INTERNATIONAL JOURNAL OF COMPUTER VISION[J]. 2021, 129(3): 619-637, http://dx.doi.org/10.1007/s11263-020-01388-x.
[30] 王丹力, 郑楠, 刘成林. 综合集成研讨厅体系起源、发展现状与趋势. 自动化学报[J]. 2021, 47(8): 1822-1839, http://lib.cqvip.com/Qikan/Article/Detail?id=7105617796.
[31] Tan Haoru, Wang Chuang, Wu Sitong, Zhang Xuyao, Liu Chenglin. Proxy Graph Matching with Proximal Matching Networks. AAAI Conference on Artificial Intelligencenull. 2021, [32] Xie, GuoWang, Yin, Fei, Zhang, XuYao, Liu, ChengLin. Document Dewarping with Control Points. ICDARnull. 2021, [33] Zhong, Zhao, Yang, Zichen, Deng, Boyang, Yan, Junjie, Wu, Wei, Shao, Jing, Liu, ChengLin. BlockQNN: Efficient Block-Wise Neural Network Architecture Generation. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2021, 43(7): 2314-2328, http://dx.doi.org/10.1109/TPAMI.2020.2969193.
[34] Ye, Jun-Yu, Zhang, Yan-Ming, Yang, Qing, Liu, Cheng-Lin. Joint stroke classification and text line grouping in online handwritten documents with edge pooling attention networks. Pattern Recognition[J]. 2021, 114(114): [35] Wang, Cong, Liu, ChengLin. Multi-branch guided attention network for irregular text recognition. NEUROCOMPUTING[J]. 2021, 425: 278-289, http://dx.doi.org/10.1016/j.neucom.2020.04.129.
[36] Chen, Zhiqiang, Xu, TingBing, Du, Changde, Liu, ChengLin, He, Huiguang. Dynamical Channel Pruning by Conditional Accuracy Change for Deep Neural Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2021, 32(2): 799-813, http://dx.doi.org/10.1109/TNNLS.2020.2979517.
[37] Simayi, Wujiahemaiti, Ibrahim, Mayire, Zhang, XuYao, Liu, ChengLin, Hamdulla, Askar. A benchmark for unconstrained online handwritten Uyghur word recognition. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION[J]. 2020, 23(3): 205-218, http://dx.doi.org/10.1007/s10032-020-00354-0.
[38] Shen, YuanYuan, Zhang, YanMing, Zhang, XuYao, Liu, ChengLin. Online semi-supervised learning with learning vector quantization. Neurocomputing[J]. 2020, 399: 467-478, [39] He, Wenhao, Zhang, XuYao, Yin, Fei, Luo, Zhenbo, Ogier, JeanMarc, Liu, ChengLin. Realtime multi-scale scene text detection with scale-based region proposal network. PATTERN RECOGNITION[J]. 2020, 98: http://dx.doi.org/10.1016/j.patcog.2019.107026.
[40] Wang, Cong, Liu, ChengLin, IEEE. Scene Text Recognition by Attention Network with Gated Embedding. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2020, [41] Zhang, XuYao, Liu, ChengLin, Suen, Ching Y. Towards Robust Pattern Recognition: A Review. PROCEEDINGS OF THE IEEEnull. 2020, 108(6): 894-922, http://dx.doi.org/10.1109/JPROC.2020.2989782.
[42] Li, Jinpeng, Qiu, Shuang, Shen, YuanYuan, Liu, ChengLin, He, Huiguang. Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition. IEEE TRANSACTIONS ON CYBERNETICS[J]. 2020, 50(7): 3281-3293, https://www.webofscience.com/wos/woscc/full-record/WOS:000544035300035.
[43] Zhong, Guoqiang, Li, Tao, Jiao, Wencong, Wang, LiNa, Dong, Junyu, Liu, ChengLin. DNA computing inspired deep networks design. NEUROCOMPUTING[J]. 2020, 382: 140-147, http://dx.doi.org/10.1016/j.neucom.2019.11.098.
[44] Foggia, Pasquale, Vento, Mario, Liu, ChengLin. Special issue on "Applications of graph-based techniques to pattern recognition". PATTERN RECOGNITION LETTERS. 2020, 134: 1-2, http://dx.doi.org/10.1016/j.patrec.2019.04.008.
[45] Zhengya Sun, ChengLin Liu, Jinghao Niu, Wensheng Zhang. Discriminative structure learning of sum-product networks for data stream classification. NEURAL NETWORKS[J]. 2020, 123: 163-175, http://dx.doi.org/10.1016/j.neunet.2019.12.002.
[46] Wu, JinWen, Yin, Fei, Zhang, YanMing, Zhang, XuYao, Liu, ChengLin. Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. International Journal of Computer Vision[J]. 2020, 128(10-11): 2386-2401, [47] Chen, Zhuo, Yin, Fei, Zhang, XuYao, Yang, Qing, Liu, ChengLin. MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition. PATTERN RECOGNITION[J]. 2020, 108: http://dx.doi.org/10.1016/j.patcog.2020.107555.
[48] Shao, Yunxue, Liu, ChengLin. Teaching machines to write like humans using L-attributed grammar. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE[J]. 2020, 90: http://dx.doi.org/10.1016/j.engappai.2020.103489.
[49] Chng, CheeKheng, Chan, Chee Seng, Liu, ChengLin. Total-Text: toward orientation robustness in scene text detection. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION[J]. 2020, 23(1): 31-52, http://dx.doi.org/10.1007/s10032-019-00334-z.
[50] 张展, 高峰, 刘成林. 计算机拼接甲骨碎片图像技术简论. 殷都学刊[J]. 2020, 41(3): 71-74, http://lib.cqvip.com/Qikan/Article/Detail?id=7103128699.
[51] Pang, HongWei, Yang, Peipei, Chen, Xiaolin, Wang, Yong, Liu, ChengLin. Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation. IMAGE AND GRAPHICS, ICIG 2019, PT Inull. 2019, 11901: 689-701, [52] Peng, Hanyang, Liu, ChengLin. Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS[J]. 2019, 30(3): 788-802, http://ir.ia.ac.cn/handle/173211/25028.
[53] Yun, XiaoLong, Zhang, YanMing, Ye, JunYu, Liu, ChengLin. Online Handwritten Diagram Recognition with Graph Attention Networks. IMAGE AND GRAPHICS, ICIG 2019, PT I[J]. 2019, 11901: 232-244, http://dx.doi.org/10.1007/978-3-030-34120-6_19.
[54] 刘成林. 文档图像识别技术回顾与展望. 数据与计算发展前沿[J]. 2019, 1(2): 17-25, http://lib.cqvip.com/Qikan/Article/Detail?id=7101015414.
[55] Wang, Xiaobing, Jiang, Yingying, Luo, Zhenbo, Liu, ChengLin, Choi, Hyunsoo, Kim, Sungjin, IEEE Comp Soc. Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation. 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019)null. 2019, 6442-6451, [56] Ren, Haiqing, Wang, Weiqiang, Liu, Chenglin. Recognizing online handwritten Chinese characters using RNNs with new computing architectures. PATTERN RECOGNITION[J]. 2019, 93: 179-192, http://dx.doi.org/10.1016/j.patcog.2019.04.015.
[57] Xu, TingBing, Yang, Peipei, Zhang, XuYao, Liu, ChengLin. LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. PATTERN RECOGNITION[J]. 2019, 88: 272-284, http://ir.ia.ac.cn/handle/173211/25265.
[58] Zhang Yikang, Zhang Heng, Liu Yongge, Yang Qing, Liu Chenglin. Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning. 2019, http://www.irgrid.ac.cn/handle/1471x/6862437.
[59] Zhao, YuanXing, Zhang, YanMing, Song, Ming, Liu, ChengLin. Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. International Conference on Medical Image Computing and Computer-Assisted Interventionnull. 2019, 11766: 256-265, [60] Xu, TingBing, Liu, ChengLin, AAAI. Data-Distortion Guided Self-Distillation for Deep Neural Networks. THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCEnull. 2019, 5565-5572, http://apps.webofknowledge.com/CitedFullRecord.do?product=UA&colName=WOS&SID=5CCFccWmJJRAuMzNPjj&search_mode=CitedFullRecord&isickref=WOS:000486572500011.
[61] Feng, Wei, He, Wenhao, Yin, Fei, Zhang, XuYao, Liu, ChengLin, IEEE. TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019)null. 2019, 9075-9084, http://dx.doi.org/10.1109/ICCV.2019.00917.
[62] Zhong, Zhao, Yang, Zichen, Feng, Weitao, Wu, Wei, Hu, Yangyang, Liu, ChengLin. Decision Controller for Object Tracking With Deep Reinforcement Learning. IEEE ACCESS[J]. 2019, 7(7): 28069-28079, https://doaj.org/article/0adacb645ef24728941d15b3d11334c5.
[63] Chen, JianHui, Wang, ZuoRen, Liu, ChengLin, Gedeon, T, Wong, KW, Lee, M. Accelerating Bag-of-Words with SOM. NEURAL INFORMATION PROCESSING (ICONIP 2019), PT IIInull. 2019, 11955: 573-584, [64] Wu, JinWen, Yin, Fei, Zhang, YanMing, Zhang, XuYao, Liu, ChengLin, Berlingerio, M, Bonchi, F, Gartner, T, Hurley, N, Ifrim, G. Image-to-Markup Generation via Paired Adversarial Learning. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2018, PT Inull. 2019, 11051: 18-34, [65] Shuang Qiu, Jinpeng Li, YuanYuan Shen, ChengLin Liu, 何晖光. Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition. IEEE TRANSACTIONS CYBERNETICS[J]. 2019, online-, http://ir.ia.ac.cn/handle/173211/23689.
[66] Liu, ZhiYong, Huang, KaiZhu, Yang, Xu, Liu, ChengLin. Special issue on advances in graph algorithm and applications. NEUROCOMPUTING. 2019, 336: 1-2, http://dx.doi.org/10.1016/j.neucom.2018.08.083.
[67] Liu, ChengLin, Hussain, Amir, Luo, Bin, Tan, Kay Chen, Zeng, Yi, Zhang, Zhaoxiang. Special Issue of BICS 2016. COGNITIVE COMPUTATION. 2018, 10(2): 282-283, http://www.corc.org.cn/handle/1471x/2202173.
[68] He, Wenhao, Zhang, XuYao, Yin, Fei, Liu, ChengLin. Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2018, 27(11): 5406-5419, http://dx.doi.org/10.1109/TIP.2018.2855399.
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[247] Zhang XuYao, Huang Kaizhu, Liu ChengLin. Pattern field classification with style normalized transformation. PROC. INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)null. 2011, http://ir.ia.ac.cn/handle/173211/10960.
[248] Zhang, XuYao, Liu, ChengLin, IEEE. Style Transfer Matrix Learning for Writer Adaptation. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2011, 393-400, [249] ChengLin Liu, XiaoHua Liu. Discriminative model selection for Gaussian mixture models for classification. PROC. FIRST ASIAN CONFERENCE ON PATTERN RECOGNITION (ACPR)null. 2011, 62-66, http://ir.ia.ac.cn/handle/173211/13492.
[250] Zhang Yan-Ming, Huang Kaizhu, Liu Cheng-Lin. Fast and robust graph-based transductive learning via minimum tree cut. IEEE International Conference on Data Miningnull. 2011, 952-961, [251] Liu ChengLin, Yin Fei. Transcript mapping for handwritten text lines using conditional random fields. INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR)null. 2011, 58-62, http://ir.ia.ac.cn/handle/173211/4356.
[252] Liu, Chenglin, Liu, Fei. Consensus problem of second-order multi-agent systems with time-varying communication delay and switching topology. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS[J]. 2011, 22(4): 672-678, http://lib.cqvip.com/Qikan/Article/Detail?id=39046642.
[253] Pan, YiFeng, Hou, Xinwen, Liu, ChengLin. A Hybrid Approach to Detect and Localize Texts in Natural Scene Images. IEEE TRANSACTIONS ON IMAGE PROCESSING[J]. 2011, 20(3): 800-813, http://www.irgrid.ac.cn/handle/1471x/973886.
[254] Wang, Heng, Klaser, Alexander, Schmid, Cordelia, Liu, ChengLin, IEEE. Action Recognition by Dense Trajectories. 2011 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)null. 2011, [255] Zhu, Bilan, Zhou, XiangDong, Liu, ChengLin, Nakagawa, Masaki. A robust model for on-line handwritten japanese text recognition. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION[J]. 2010, 13(2): 121-131, http://dx.doi.org/10.1007/s10032-009-0111-y.
[256] Zhang Heng, Liu ChengLin. Keyword spotting from online Chinese handwritten documents using one-vs-all trained character classifier. INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR)null. 2010, 271-276, http://ir.ia.ac.cn/handle/173211/4342.
[257] Yin Fei, Liu ChengLin. Chinese handwriting recognition contest 2010. CHINESE CONFERENCE ON PATTERN RECOGNITION (CCPR)null. 2010, 1100-1104, http://ir.ia.ac.cn/handle/173211/4327.
[258] Liu ChengLin, Hou Xinwen. Boosting incremental semi-supervised discriminant analysis for tracking. INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2010, 2748-2751, http://ir.ia.ac.cn/handle/173211/4324.
[259] Liu ChengLin. One-vs-all training of prototype classifier for pattern classification and retrieval. INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2010, 3328-3331, http://ir.ia.ac.cn/handle/173211/4347.
[260] ChengLin Liu, X Chen, Xinwen Hou, An Lu. Insect species recognition using sparse representation. PROC. BMVC 2000null. 2010, http://ir.ia.ac.cn/handle/173211/13490.
[261] Jin, XiaoBo, Liu, ChengLin, Hou, Xinwen. Regularized margin-based conditional log-likelihood loss for prototype learning. PATTERN RECOGNITION[J]. 2010, 43(7): 2428-2438, http://dx.doi.org/10.1016/j.patcog.2010.01.013.
[262] Liu ChengLin. Similar handwritten Chinese characters recognition by critical region selection based on average symmetric uncertainty. INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR)null. 2010, 527-532, http://ir.ia.ac.cn/handle/173211/4351.
[263] Liu ChengLin, Hou Xinwen, Zhang YanMing. Transductive learning on adaptive graphs. AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCEnull. 2010, 661-666, http://ir.ia.ac.cn/handle/173211/4357.
[264] 马龙龙, 刘成林. 基于统计部首模型的联机手写汉字识别方法. 智能系统学报[J]. 2010, 5(5): 385-391, http://lib.cqvip.com/Qikan/Article/Detail?id=36004129.
[265] Hou Xinwen, Liu ChengLin. Multi-class AdaBoost with hypothesis margin. INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR)null. 2010, 65-68, http://ir.ia.ac.cn/handle/173211/4345.
[266] ChengLin Liu, LongLong Ma. On-line handwritten Chinese character recognition using statistical radical models. CAAI TRANS. INTELLIGENT SYSTEMS[J]. 2010, 5(5): 385-391, http://ir.ia.ac.cn/handle/173211/13430.
[267] Liu ChengLin, Yin Fei. Integrating geometric context for text alignment of handwritten Chinese documents. INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR)null. 2010, 41102-, http://ir.ia.ac.cn/handle/173211/4340.
[268] Masaki Nakagawa, XiangDong Zhou, ChengLin Liu. Online handwritten Japanese character string recognition using conditional random fields. PROC. 10TH ICDARnull. 2009, 521-525, http://ir.ia.ac.cn/handle/173211/13487.
[269] JinLun Yu, ChengLin Liu, XiangDong Zhou. Path search strategies for handwritten character string recognition. CHINESE JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE[J]. 2009, 22(2): 182-187, http://ir.ia.ac.cn/handle/173211/13429.
[270] Liu, ChengLin, Suen, Ching Y. A new benchmark on the recognition of handwritten Bangla and Farsi numeral characters. PATTERN RECOGNITION[J]. 2009, 42(12): 3287-3295, http://dx.doi.org/10.1016/j.patcog.2008.10.007.
[271] Xinwen Hou, ChengLin Liu, YiFeng Pan. Text localization in natural scene images based on conditional random field. PROC. 10TH ICDARnull. 2009, 06-10, http://ir.ia.ac.cn/handle/173211/13486.
[272] ChengLin Liu, MingBo Wang. Class selection based iterative supervised latent semantic indexing for text categorization. PROC. INT. CONF. INFORMATION ENGINEERING AND COMPUTER SCIENCE (ICIECS)null. 2009, 261-264, http://ir.ia.ac.cn/handle/173211/13489.
[273] Yin, Fei, Liu, ChengLin. Handwritten Chinese text line segmentation by clustering with distance metric learning. PATTERN RECOGNITION[J]. 2009, 42(12): 3146-3157, http://dx.doi.org/10.1016/j.patcog.2008.12.013.
[274] Liu ChengLin, Yin Fei. A variational Bayes method for handwritten text line segmentation. INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR)null. 2009, 436-440, http://ir.ia.ac.cn/handle/173211/4323.
[275] Zhou, XiangDong, Wang, DaHan, Liu, ChengLin. A robust approach to text line grouping in online handwritten Japanese documents. PATTERN RECOGNITION[J]. 2009, 42(9): 2077-2088, http://dx.doi.org/10.1016/j.patcog.2008.10.019.
[276] 于金伦, 周祥东, 刘成林. 手写字符串识别搜索算法. 模式识别与人工智能[J]. 2009, 182-187, http://lib.cqvip.com/Qikan/Article/Detail?id=30308542.
[277] Zhang YanMing, Hou Xinwen, Liu ChengLin. Subspace Regularization: A New Semi-supervised Learning Method. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databasesnull. 2009, [278] Yin Fei, Liu ChengLin. A tool for ground-truthing text lines and characters in off-line handwritten Chinese documents. INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION (ICDAR)null. 2009, 951-955, http://ir.ia.ac.cn/handle/173211/4322.
[279] LongLong Ma, ChengLin 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)null. 2009, 929-933, http://ir.ia.ac.cn/handle/173211/13488.
[280] TianFu Gao, ChengLin Liu. Combining quadratic classifier and pair discriminators by pairwise coupling for handwritten Chinese character recognition. PROC. 19TH ICPRnull. 2008, http://ir.ia.ac.cn/handle/173211/13561.
[281] TongHua Su, TianWen Zhang, HJ Huang, ChengLin Liu. Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting. PROC. 19TH ICPRnull. 2008, http://ir.ia.ac.cn/handle/173211/13562.
[282] XiaoHua Liu, ChengLin Liu, Xinwen Hou. A pooled subspace mixture density model for pattern classification in high-dimensional spaces. PROC. IJCNN 2008null. 2008, 2467-2472, http://ir.ia.ac.cn/handle/173211/13554.
[283] XiangDong Zhou, DaHan Wang, ChengLin Liu. Grouping text lines in online handwritten Japanese documents by combining temporal and spatial information. PROC. 8TH IAPR INT. WORKSHOP ON DASnull. 2008, 61-68, http://ir.ia.ac.cn/handle/173211/13557.
[284] XiaoBo Jin, ChengLin Liu, Xinwen Hou. Prototype learning by margin-based conditional log-likelihood loss. PROC. 19TH ICPRnull. 2008, http://ir.ia.ac.cn/handle/173211/13560.
[285] LongLong Ma, ChengLin Liu. A new radical-based approach to online handwritten Chinese character recognition. PROC. 19TH ICPRnull. 2008, http://ir.ia.ac.cn/handle/173211/13559.
[286] YiFeng Pan, Xinwen Hou, ChengLin Liu. A robust system to detect and localize texts in natural scene images. PROC. 8TH IAPR INT. WORKSHOP ON DASnull. 2008, 35-42, http://ir.ia.ac.cn/handle/173211/13558.
[287] ChengLin Liu, Hiromichi Fujisawa. Classification and learning in character recognition: Advances and remaining problems. MACHINE LEARNING IN DOCUMENT ANALYSIS AND RECOGNITION. 2008, 139-161, http://ir.ia.ac.cn/handle/173211/13400.
[288] Liu, ChengLin. Partial discriminative training for classification of overlapping classes in document analysis. INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION[J]. 2008, 11(2): 53-65, http://dx.doi.org/10.1007/s10032-008-0069-1.
[289] 陈小琳, 侯新文, 刘成林, 刘晓秋, 张知彬. 昆虫图像自动鉴别技术. 昆虫知识[J]. 2008, 45(2): 317-322, http://lib.cqvip.com/Qikan/Article/Detail?id=26793466.
[290] Gao, TianFu, Liu, ChengLin. High accuracy handwritten Chinese character recognition using LDA-based compound distances. PATTERN RECOGNITION[J]. 2008, 41(11): 3442-3451, http://dx.doi.org/10.1016/j.patcog.2008.04.011.
[291] ChengLin Liu. Partial discriminative training of neural networks for classification of overlapping classes. LNAI5064SPRINGERnull. 2008, 137-146, http://ir.ia.ac.cn/handle/173211/13555.
[292] Cyril Cassisa, V Prinet, L Shao, S Simoens, ChengLin Liu. Optical flow robust estimation in a hybrid multi-resolution MRF framework. PROC. ICASSP 2008null. 2008, 0-0, http://ir.ia.ac.cn/handle/173211/13553.
[293] Fei Yin, ChengLin Liu. Handwritten text line segmentation by clustering with distance metric learning. PROC. 11TH ICFHRnull. 2008, 229-234, http://ir.ia.ac.cn/handle/173211/13556.
[294] TianFu Gao, ChengLin Liu. LDA-based compound distance for handwritten Chinese character recognition. PROC. 9TH ICDARnull. 2007, Vol.2, pp.904-908, http://ir.ia.ac.cn/handle/173211/13550.
[295] 刘成林, 谭铁牛. 模式识别研究进展. 中国计算机学会通讯[J]. 2007, 45-52, http://ir.ia.ac.cn/handle/173211/13425.
[296] Sa Wang, ChengLin Liu, Lian Zheng. Feature selection by combining Fisher criterion and principal feature analysis. PROC. ICMLC 2007null. 2007, Vol.2, pp.1149-1154., http://ir.ia.ac.cn/handle/173211/13547.
[297] ChengLin Liu, Mohamed Cheriet, Nawwaf Kharma, Ching Y Suen. Character Recognition Systems: A Guide for Students and Practitioners. 2007, http://ir.ia.ac.cn/handle/173211/13397.
[298] Zhou XiangDong, Liu ChengLin, Werner B. Text/non-text ink stroke classification in Japanese handwriting based on Markov random fields. ICDAR 2007: NINTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGSnull. 2007, 377-381, [299] Dai Ruwei, Liu Chenglin, Xiao Baihua. Chinese character recognition: history, status and prospects. FRONTIERS OF COMPUTER SCIENCE IN CHINA[J]. 2007, 1(2): 126-136, http://124.16.136.157/handle/311060/1327.
[300] Liu, ChengLin. Normalization-cooperated gradient feature extraction for handwritten character recognition. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2007, 29(8): 1465-1469, http://ir.ia.ac.cn/handle/173211/9507.
[301] XiangDong Zhou, JinLun Yu, ChengLin Liu, Takeshi Nagasaki, Katsumi Marukawa. Online handwritten Japanese character string recognition incorporating geometric context. PROC. 9TH ICDARnull. 2007, Vol.1, pp.48-52, http://ir.ia.ac.cn/handle/173211/13548.
[302] XiaoBo Jin, Xinwen Hou, ChengLin Liu. A hybrid generative-discriminative learning algorithm for Bayesian network structure. PROC.5TH INT. CONF. ON WAVELET ANALYSIS AND PATTERN RECOGNITIONnull. 2007, Vol.2, pp.618-623, http://ir.ia.ac.cn/handle/173211/13552.
[303] Fei Yin, ChengLin Liu. Handwritten text line extraction by minimum spanning tree clustering. PROC.5TH INT. CONF. ON WAVELET ANALYSIS AND PATTERN RECOGNITIONnull. 2007, Vol.3, pp.1123-1128, http://ir.ia.ac.cn/handle/173211/13551.
[304] 于金伦, 周祥东, 刘成林. 联机手写字符串识别搜索算法研究. 2007全国模式识别学术会议论文集null. 2007, 299-305, http://ir.ia.ac.cn/handle/173211/13564.
[305] XiangDong Zhou, ChengLin Liu. Text/non-text ink stroke classification in Japanese handwriting based on Markov random fields. PROC. 9TH ICDARnull. 2007, Vol.1, pp.377-381, http://ir.ia.ac.cn/handle/173211/13549.
[306] Srinivas Andra, George Nagy, ChengLin Liu. Frequency coding: An effective method for combining dichotomizers. PROCEEDINGS OF SPIE, VOL.6500null. 2007, http://ir.ia.ac.cn/handle/173211/13546.
[307] ChengLin Liu. High accuracy handwritten Chinese character recognition using quadratic classifiers with discriminative feature extraction. PROC. 18TH ICPRnull. 2006, Vol.2, pp.942-945, http://ir.ia.ac.cn/handle/173211/13544.
[308] ChengLin Liu, XiangDong Zhou. Online Japanese character recognition using trajectory-based normalization and direction feature extraction. PROC. 10TH IWFHRnull. 2006, 217-222, http://ir.ia.ac.cn/handle/173211/13545.
[309] Xinwen Hou, ChengLin Liu, Tieniu Tan. Learning boosted asymmetric classifiers for object detection. PROC. CVPR 2006null. 2006, Vol.1, pp.330-338, http://ir.ia.ac.cn/handle/173211/13543.
[310] ChengLin Liu. Polynomial network classifier with discriminative feature extraction. STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION: JOINT IAPR INT. WORKSHOPSnull. 2006, 732-740., http://ir.ia.ac.cn/handle/173211/13571.
[311] ChengLin Liu, Masashi Koga, Hiromichi Fujisawa. Gabor feature extraction for character recognition: Comparison with gradient feature. PROC. 8TH ICDARnull. 2005, 121-125, http://ir.ia.ac.cn/handle/173211/13541.
[312] ChengLin 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 RECOGNITIONnull. 2005, http://ir.ia.ac.cn/handle/173211/13542.
[313] ChengLin Liu, Ryuji Mine, Masashi Koga. Building compact classifier for large character set recognition using discriminative feature extraction. PROC8THICDARnull. 2005, 846-850, http://ir.ia.ac.cn/handle/173211/13540.
[314] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Handwritten numeral string recognition: effects of character normalization and feature extraction. IEICE TRANS. INFORMATION AND SYSTEMS[J]. 2005, E88-D(8): 1791-1798, http://ir.ia.ac.cn/handle/173211/13418.
[315] ChengLin Liu, Katsumi Marukawa. Normalization ensemble for handwritten character recognition. PROC. 9TH IWFHRnull. 2004, 69-74, http://ir.ia.ac.cn/handle/173211/13538.
[316] ChengLin Liu, Stefan Jaeger, Masaki Nakagawa. Online handwritten Chinese character recognition: The state of the art. IEEE TRANS. PATTERN ANALYSIS AND MACHINE INTELLIGENCE[J]. 2004, 26(2): 198-213, http://ir.ia.ac.cn/handle/173211/13413.
[317] ChengLin Liu, Katsumi Marukawa. Handwritten numeral string recognition: Character-level training vs. string-level training. PROC. 17TH ICPRnull. 2004, Vol.1, pp.405-408, http://ir.ia.ac.cn/handle/173211/13537.
[318] ChengLin 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[J]. 2004, 26(11): 1395-1407, http://ir.ia.ac.cn/handle/173211/13416.
[319] ChengLin Liu, Katsumi Marukawa. Global shape normalization for handwritten Chinese character recognition: a new method. PROC. 9TH IWFHRnull. 2004, 300-305, http://ir.ia.ac.cn/handle/173211/13539.
[320] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Discriminative learning quadratic discriminant function for handwriting recognition. IEEE TRANS. NEURAL NETWORKS[J]. 2004, 15(2): 430-444, http://ir.ia.ac.cn/handle/173211/13414.
[321] Stefan Jaeger, ChengLin Liu, Masaki Nakagawa. The state of the art in Japanese on-line handwriting recognition compared to techniques in western handwriting recognition. INT. J. COMPUTER PROCESSING OF ORIENTAL LANGUAGES[J]. 2003, 6(2): 75-88, http://ir.ia.ac.cn/handle/173211/13410.
[322] Hongwei Hao, ChengLin Liu, Hiroshi Sako. Comparison of sequential search methods and genetic algorithm for classifier selection. PROC. 7TH ICDARnull. 2003, 765-769, http://ir.ia.ac.cn/handle/173211/13535.
[323] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Handwritten Chinese character recognition: Alternatives to nonlinear normalization. PROC. 7TH ICDARnull. 2003, 524-528, http://ir.ia.ac.cn/handle/173211/13533.
[324] Hiromichi Fujisawa, ChengLin Liu. Directional pattern matching for character recognition revisited. PROC. 7TH ICDARnull. 2003, 794-798, http://ir.ia.ac.cn/handle/173211/13536.
[325] Hongwei Hao, ChengLin Liu, Hiroshi Sako. Confidence evaluation for combining diverse classifiers. PROC. 7TH ICDARnull. 2003, 760-764, http://ir.ia.ac.cn/handle/173211/13534.
[326] ChengLin 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[J]. 2002, 24(11): 1425-1437, http://ir.ia.ac.cn/handle/173211/13408.
[327] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Performance evaluation of pattern classifiers for handwritten character recognition. INT. J. DOCUMENT ANALYSIS AND RECOGNITION[J]. 2002, 4(3): 191-204, http://ir.ia.ac.cn/handle/173211/13407.
[328] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Learning quadratic discriminant function for handwritten character recognition. PROC. 16TH ICPRnull. 2002, 44-47, http://ir.ia.ac.cn/handle/173211/13530.
[329] ChengLin Liu, Kazuki Nakashima, Hiroshi Sako, Hiromichi Fujisawa. Handwritten digit recognition using state-of-the-art techniques. PROC. 8TH IWFHRnull. 2002, 320-325, http://ir.ia.ac.cn/handle/173211/13526.
[330] Srihasha Veeramachaneni, Hiromichi Fujisawa, ChengLin Liu, George Nagy. Style-conscious quadratic field classifier. PROC. 16TH ICPRnull. 2002, 72-75, http://ir.ia.ac.cn/handle/173211/13532.
[331] Ondrej Velek, ChengLin Liu, Stefan Jaeger, Masaki Nakagawa. An improved approach to generating Kanji images from on-line characters. PROC. 16TH ICPRnull. 2002, 588-591, http://ir.ia.ac.cn/handle/173211/13531.
[332] Stefan Jaeger, Masaki Nakagawa, ChengLin Liu. Comparing on-line recognition of Japanese and Western script in preparation for recognizing multi-language documents. PROC8THIWFHRnull. 2002, 84-89, http://ir.ia.ac.cn/handle/173211/13529.
[333] Ondrej Velek, Masaki Nakagawa, ChengLin Liu. Vector-to-image transformation of character patterns for on-line and off-line recognition. INT. J. COMPUTER PROCESSING OF ORIENTAL LANGUAGES[J]. 2002, 15(2): 187-209, http://ir.ia.ac.cn/handle/173211/13409.
[334] ChengLin Liu, Hiroshi Sako, Hiromichi Fujisawa. Integrated segmentation and recognition of handwritten numerals: Comparison of classification algorithms. PROC. 8TH IWFHRnull. 2002, 303-308, http://ir.ia.ac.cn/handle/173211/13527.
[335] Srihasha Veeramachaneni, George Nagy, ChengLin Liu, Hiromichi Fujisawa. Classifying isogenous fields. PROC. 8TH IWFHRnull. 2002, 41-46, http://ir.ia.ac.cn/handle/173211/13528.
[336] Ondrej Velek, ChengLin Liu, Masaki Nakagawa. Generating realistic Kanji character images from on-line patterns. PROC. 6TH ICDARnull. 2001, 556-560, http://ir.ia.ac.cn/handle/173211/13525.
[337] ChengLin Liu, Masashi Koga, Hiromichi Fujisawa. Lexicon-driven handwritten character string recognition for Japanese address reading. PROC. 6TH ICDARnull. 2001, 877-881, http://ir.ia.ac.cn/handle/173211/13524.
[338] ChengLin Liu, Masashi Koga, Hiroshi Sako, Hiromichi Fujisawa. Aspect ratio adaptive normalization for handwritten character recognition. ADVANCES IN MULTIMODAL INTERFACES--ICMI2000, LNCS VOL. 1948null. 2000, 418-425, http://ir.ia.ac.cn/handle/173211/13570.
[339] ChengLin Liu, Masaki Nakagawa. A probabilistic model for candidate selection in recognition of large character set. ADVANCES IN HANDWRITING RECOGNITION. 1999, 277-286, http://ir.ia.ac.cn/handle/173211/13399.
[340] InJung Kim, ChengLin Liu, Jin H Kim. Stroke-guided pixel matching for handwritten Chinese character recognition. PROC. 5TH ICDARnull. 1999, 665-668, http://ir.ia.ac.cn/handle/173211/13569.
[341] ChengLin Liu, Masaki Nakagawa. Prototype learning algorithms for nearest neighbor classification with application to handwritten character recognition. PROC. 5TH ICDARnull. 1999, 378-381, http://ir.ia.ac.cn/handle/173211/13567.
[342] ChengLin Liu, Masaki Nakagawa. Handwritten numeral recognition using neural networks: Improving the accuracy by discriminative training. PROC. 5TH ICDARnull. 1999, 257-260, http://ir.ia.ac.cn/handle/173211/13568.
[343] ChengLin Liu, InJung Kim, Jin H Kim. Model-based stroke extraction and matching by heuristic search for handwritten Chinese character recognition. PROC. 6TH IWFHRnull. 1998, 547-556, http://ir.ia.ac.cn/handle/173211/13565.
[344] ChengLin Liu, Masaki Nakagawa. A probabilistic model for precise candidate selection in large character set recognition. PROC. 6TH IWFHRnull. 1998, 259-268, http://ir.ia.ac.cn/handle/173211/13566.
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[346] ChengLin Liu, YingJian Liu, RuWei Dai. Preprocessing and statistical/structural feature extraction for handwritten numeral recognition. PROGRESS OF HANDWRITING RECOGNITION. 1997, 161-168, http://ir.ia.ac.cn/handle/173211/13398.
[347] ChengLin Liu, InJung Kim, Jin H Kim. High accuracy handwritten Chinese character recognition by improved feature matching method. PROC. 4TH ICDARnull. 1997, 1033-1037, http://ir.ia.ac.cn/handle/173211/13464.
[348] 刘成林, 戴汝为, 刘迎建. 简化的Wigner分布及其在笔迹鉴别中的应用. 计算机学报[J]. 1997, 20(11): 1018-1023, [349] 刘成林, 刘迎建, 戴汝为. 基于多通道分解与匹配的笔迹鉴别研究. 自动化学报[J]. 1997, 23(1): 56-, http://lib.cqvip.com/Qikan/Article/Detail?id=2531843.
[350] 戴汝为, 刘迎建, 刘成林. 笔迹鉴别的字符予处理与匹配. 中文信息学报[J]. 1996, 10(3): 50-, http://lib.cqvip.com/Qikan/Article/Detail?id=2084565.
[351] ChengLin Liu, YingJian Liu, RuWei Dai. Multiresolution statistical and structural feature extraction for handwritten numeral recognition. PROC. 5TH IWFHRnull. 1996, 61-66, http://ir.ia.ac.cn/handle/173211/13463.
[352] ChengLin Liu, HongWei Hao, YingJian Liu. Handwritten numeral recognition by spatial filtering and neural networks. PROC. ICNNSPnull. 1995, http://ir.ia.ac.cn/handle/173211/13462.
[353] ChengLin Liu, RuWei Dai, YingJian Liu. Extracting individual features from moments for Chinese writer identification. PROC. 3RD ICDARnull. 1995, 438-441, http://ir.ia.ac.cn/handle/173211/13434.
[354] 刘成林, 戴汝为, 刘迎建. Hidden Markov models with application to character recognition. PROC. 5TH SYMPOSIUM ON CHINESE CHARACTER AND SPEECH RECOGNITIONnull. 1994, http://ir.ia.ac.cn/handle/173211/13563.
[355] Mengbiao Zhao, Wei Feng, Fei Yin, ChengLin Liu. Texts as points: Scene text detection with point supervision. PATTERN RECOGNITION LETTERS[J]. 170: 1-8, http://dx.doi.org/10.1016/j.patrec.2023.04.004.
发表著作
(1) 文字识别系统, Character Recogntion Systems, John Wiley, 2007-10, 第 3 作者
(2) 视觉信息处理研究前沿, 上海交通大学出版社, 2019-12, 第 2 作者

科研活动

更多内容见个人主页:
http://www.nlpr.ia.ac.cn/liucl/
科研项目
( 1 ) 物理空间感知数据的计算与理解, 主持, 国家级, 2012-01--2016-08
( 2 ) 视觉感知和语义计算, 主持, 部委级, 2012-01--2016-12
( 3 ) 网络媒体中文档图像分析与理解, 主持, 国家级, 2015-01--2018-12
( 4 ) 类脑神经网络自主学习, 主持, 部委级, 2015-07--2017-06
( 5 ) 视觉大数据内容理解的理论与方法, 主持, 国家级, 2018-01--2023-12
( 6 ) 面访开放环境的自适应感知, 主持, 国家级, 2019-12--2023-12
( 7 ) 低质数据的自动增强和特征学习, 主持, 国家级, 2021-01--2024-12
参与会议
(1)大会主席   第七届亚洲模式识别会议   2023-11-05
(2)大会共同主席   第26届国际模式识别大会   2022-08-21
(3)大会共同主席   第六届亚洲模式识别会议   2021-11-09
(4)大会主席   第10届国际计算与模式识别会议   2021-10-15
(5)大会共同主席   中国模式识别与计算机视觉大会   2020-11-24
(6)程序主席   国际手写识别前沿会议   2020-09-07
(7)大会主席   国际文档分析系统研讨会   2020-07-26
(8)程序主席   国际文档分析与识别会议   2019-09-20
(9)Scene text detection with recurrent instance segmentation   国际模式识别大会   2018-08-20
(10)Text detection and recognition   国际文档分析与识别会议   2017-11-10
(11)Text and Handwriting Recognition   国际模式识别大会   2016-11-05
(12)会议主席   国际手写识别前沿会议   2016-10-23
(13)Text Detection and Recognition   国际文档分析与识别会议   2015-08-23
(14)Handwritten Chinese character recognition   国际模式识别大会   周明可,张煦尧,殷飞,刘成林   2014-08-25
(15)Chinese handwriting recognition   国际文档分析与识别会议   Cheng-Lin Liu   2013-08-26
(16)Character recognition   国际模式识别大会   Liu   2012-11-12
(17)Chinese Handwriting Databases   国际文档分析与识别会议   Liu, Yin, Wang, Wang   2011-09-19
国际文档分析与识别会议   2009-07-27
国际手写识别前沿会议   2008-09-01

指导学生

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