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Cheng-Lin Liu
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2020 – today
- 2021
[j138]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. Comput. Vis. 129(3): 619-637 (2021)- [j137]Cong Wang, Cheng-Lin Liu:
Multi-branch guided attention network for irregular text recognition. Neurocomputing 425: 278-289 (2021) - [j136]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 Recognit. 114: 107859 (2021) - [j135]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 Learn. Syst. 32(2): 799-813 (2021) - [e20]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part I. Lecture Notes in Computer Science 12622, Springer 2021, ISBN 978-3-030-69524-8 [contents] - [e19]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part II. Lecture Notes in Computer Science 12623, Springer 2021, ISBN 978-3-030-69531-6 [contents] - [e18]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part III. Lecture Notes in Computer Science 12624, Springer 2021, ISBN 978-3-030-69534-7 [contents] - [e17]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part IV. Lecture Notes in Computer Science 12625, Springer 2021, ISBN 978-3-030-69537-8 [contents] - [e16]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part V. Lecture Notes in Computer Science 12626, Springer 2021, ISBN 978-3-030-69540-8 [contents] - [e15]Hiroshi Ishikawa, Cheng-Lin Liu, Tomás Pajdla, Jianbo Shi:
Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30 - December 4, 2020, Revised Selected Papers, Part VI. Lecture Notes in Computer Science 12627, Springer 2021, ISBN 978-3-030-69543-9 [contents] - [i18]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Dewarping Document Image By Displacement Flow Estimation with Fully Convolutional Network. CoRR abs/2104.06815 (2021) - 2020
- [j134]Yunxue Shao, Cheng-Lin Liu:
Teaching machines to write like humans using L-attributed grammar. Eng. Appl. Artif. Intell. 90: 103489 (2020) - [j133]Yangyang Chen, Rui Yu, Ya Zhang, Chenglin Liu:
Circular formation flight control for unmanned aerial vehicles with directed network and external disturbance. IEEE CAA J. Autom. Sinica 7(2): 505-516 (2020) - [j132]Cheng-Lin Liu, Shuai Liu, Ya Zhang, Yang-Yang Chen:
Consensus seeking of multi-agent systems with intermittent communication: a persistent-hold control strategy. Int. J. Control 93(9): 2161-2167 (2020) - [j131]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Handwritten Mathematical Expression Recognition via Paired Adversarial Learning. Int. J. Comput. Vis. 128(10): 2386-2401 (2020) - [j130]Chee-Kheng Ch'ng, Chee Seng Chan, Cheng-Lin Liu:
Total-Text: toward orientation robustness in scene text detection. Int. J. Document Anal. Recognit. 23(1): 31-52 (2020) - [j129]Wujiahemaiti Simayi, Mayire Ibrahim, Xu-Yao Zhang, Cheng-Lin Liu, Askar Hamdulla:
A benchmark for unconstrained online handwritten Uyghur word recognition. Int. J. Document Anal. Recognit. 23(3): 205-218 (2020) - [j128]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) - [j127]Yuan-Yuan Shen, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Online semi-supervised learning with learning vector quantization. Neurocomputing 399: 467-478 (2020) - [j126]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) - [j125]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. Proc. IEEE 108(6): 894-922 (2020) - [j124]Wenhao He, Xu-Yao Zhang, Fei Yin, Zhenbo Luo, Jean-Marc Ogier, Cheng-Lin Liu:
Realtime multi-scale scene text detection with scale-based region proposal network. Pattern Recognit. 98 (2020) - [j123]Zhuo Chen, Fei Yin, Xu-Yao Zhang, Qing Yang, Cheng-Lin Liu:
MuLTReNets: Multilingual text recognition networks for simultaneous script identification and handwriting recognition. Pattern Recognit. 108: 107555 (2020) - [j122]Pasquale Foggia, Mario Vento, Cheng-Lin Liu:
Special issue on "Applications of graph-based techniques to pattern recognition". Pattern Recognit. Lett. 134: 1-2 (2020) - [j121]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks. SN Comput. Sci. 1(3): 163 (2020) - [j120]Cheng-Lin Liu, Liang Shan, Ya Zhang, Yang-Yang Chen, Jun Li:
Hierarchical Average-Tracking Algorithm for Multiagent Systems With Unmatched Constant References Signals. IEEE Trans. Circuits Syst. 67-II(11): 2642-2646 (2020) - [j119]Jinpeng Li, Shuang Qiu, Yuan-Yuan Shen, Cheng-Lin Liu, Huiguang He:
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition. IEEE Trans. Cybern. 50(7): 3281-3293 (2020) - [c232]Guo-Wang Xie, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Dewarping Document Image by Displacement Flow Estimation with Fully Convolutional Network. DAS 2020: 131-144 - [c231]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Segmentation Using Convolutional Neural Network and Graphical Model. DAS 2020: 231-245 - [c230]Zhe-Yang Zhu, Cheng-Lin Liu:
A Novel Method Combining Leader-Following Control and Reinforcement Learning for Pursuit Evasion Games of Multi-Agent Systems. ICARCV 2020: 166-171 - [c229]Ming-Chao Xu, Fei Yin, Cheng-Lin Liu:
SRR-GAN: Super-Resolution based Recognition with GAN for Low-Resolved Text Images. ICFHR 2020: 1-6 - [c228]Zhen-Xing Wang, Qiu-Feng Wang, Fei Yin, Cheng-Lin Liu:
Weakly Supervised Learning for Over-Segmentation Based Handwritten Chinese Text Recognition. ICFHR 2020: 157-162 - [c227]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. ICFHR 2020: 211-215 - [c226]Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
F-mixup: Attack CNNs From Fourier Perspective. ICPR 2020: 541-548 - [c225]Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Mutually Guided Dual-Task Network for Scene Text Detection. ICPR 2020: 6928-6934 - [c224]Cong Wang, Cheng-Lin Liu:
Scene Text Recognition by Attention Network with Gated Embedding. IJCNN 2020: 1-8 - [e14]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision, Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12305, Springer 2020, ISBN 978-3-030-60632-9 [contents] - [e13]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12306, Springer 2020, ISBN 978-3-030-60638-1 [contents] - [e12]Yuxin Peng, Qingshan Liu, Huchuan Lu, Zhenan Sun, Chenglin Liu, Xilin Chen, Hongbin Zha, Jian Yang:
Pattern Recognition and Computer Vision - Third Chinese Conference, PRCV 2020, Nanjing, China, October 16-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12307, Springer 2020, ISBN 978-3-030-60635-0 [contents] - [i17]Xu-Yao Zhang, Cheng-Lin Liu, Ching Y. Suen:
Towards Robust Pattern Recognition: A Review. CoRR abs/2006.06976 (2020) - [i16]Mengbiao Zhao, Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
Weakly-Supervised Arbitrary-Shaped Text Detection with Expectation-Maximization Algorithm. CoRR abs/2012.00424 (2020)
2010 – 2019
- 2019
- [j118]Zhao Zhong, Zichen Yang, Weitao Feng, Wei Wu, Yangyang Hu, Cheng-Lin Liu:
Decision Controller for Object Tracking With Deep Reinforcement Learning. IEEE Access 7: 28069-28079 (2019) - [j117]Chenglin Liu, Jianqiang Wang, Wenjuan Cai, Yuzhao Zhang:
An Energy-Efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks. IEEE Access 7: 108866-108877 (2019) - [j116]Yu-Juan Luo, Cheng-Lin Liu, Guang-Ye Liu:
Consensus Tracking by Iterative Learning Control for Linear Heterogeneous Multiagent Systems Based on Fractional-Power Error Signals. Algorithms 12(9): 185 (2019) - [j115]Min Zheng, Cheng-Lin Liu, Fei Liu:
Average-Consensus Tracking of Sensor Network via Distributed Coordination Control of Heterogeneous Multi-Agent Systems. IEEE Control. Syst. Lett. 3(1): 132-137 (2019) - [j114]Cheng-Lin Liu, Andreas Dengel, Rafael Dueire Lins:
Editorial for special issue on "Advanced Topics in Document Analysis and Recognition". Int. J. Document Anal. Recognit. 22(3): 189-191 (2019) - [j113]Zhi-Yong Liu, Kaizhu Huang, Xu Yang, Cheng-Lin Liu:
Special issue on advances in graph algorithm and applications. Neurocomputing 336: 1-2 (2019) - [j112]Ting-Bing Xu, Peipei Yang, Xu-Yao Zhang, Cheng-Lin Liu:
LightweightNet: Toward fast and lightweight convolutional neural networks via architecture distillation. Pattern Recognit. 88: 272-284 (2019) - [j111]Haiqing Ren, Weiqiang Wang, Chenglin Liu:
Recognizing online handwritten Chinese characters using RNNs with new computing architectures. Pattern Recognit. 93: 179-192 (2019) - [j110]Hanyang Peng, Cheng-Lin Liu:
Discriminative Feature Selection via Employing Smooth and Robust Hinge Loss. IEEE Trans. Neural Networks Learn. Syst. 30(3): 788-802 (2019) - [c223]Ting-Bing Xu, Cheng-Lin Liu:
Data-Distortion Guided Self-Distillation for Deep Neural Networks. AAAI 2019: 5565-5572 - [c222]Shi Yan, Wei Feng, Peng Zhao, Cheng-Lin Liu:
Progressive Scale Expansion Network with Octave Convolution for Arbitrary Shape Scene Text Detection. ACPR (1) 2019: 663-676 - [c221]Yuan-Xing Zhao, Yan-Ming Zhang, Cheng-Lin Liu:
Bag of Tricks for 3D MRI Brain Tumor Segmentation. BrainLes@MICCAI (1) 2019: 210-220 - [c220]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection With Adaptive Text Region Representation. CVPR 2019: 6449-6458 - [c219]Wei Feng, Wenhao He, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu:
TextDragon: An End-to-End Framework for Arbitrary Shaped Text Spotting. ICCV 2019: 9075-9084 - [c218]Yi-Kang Zhang, Heng Zhang, Yong-Ge Liu, Qing Yang, Cheng-Lin Liu:
Oracle Character Recognition by Nearest Neighbor Classification with Deep Metric Learning. ICDAR 2019: 309-314 - [c217]Xiaohui 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. ICDAR 2019: 514-519 - [c216]Xiang Ao, Xu-Yao Zhang, Hong-Ming Yang, Fei Yin, Cheng-Lin Liu:
Cross-Modal Prototype Learning for Zero-Shot Handwriting Recognition. ICDAR 2019: 589-594 - [c215]Vinh Loc Cu, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu:
A Robust Data Hiding Scheme Using Generated Content for Securing Genuine Documents. ICDAR 2019: 787-792 - [c214]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. ICDAR 2019: 793-798 - [c213]Jun-Yu Ye, Yan-Ming Zhang, Qing Yang, Cheng-Lin Liu:
Contextual Stroke Classification in Online Handwritten Documents with Graph Attention Networks. ICDAR 2019: 993-998 - [c212]Vinh Loc Cu, Jean-Christophe Burie, Jean-Marc Ogier, Cheng-Lin Liu:
Hiding Security Feature Into Text Content for Securing Documents Using Generated Font. ICDAR 2019: 1214-1219 - [c211]Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. ICDAR 2019: 1582-1587 - [c210]Xiao-Long Yun, Yan-Ming Zhang, Jun-Yu Ye, Cheng-Lin Liu:
Online Handwritten Diagram Recognition with Graph Attention Networks. ICIG (1) 2019: 232-244 - [c209]Hong-Wei Pang, Peipei Yang, Xiaolin Chen, Yong Wang, Cheng-Lin Liu:
Insect Recognition Under Natural Scenes Using R-FCN with Anchor Boxes Estimation. ICIG (1) 2019: 689-701 - [c208]Jian-Hui Chen, Zuo-Ren Wang, Cheng-Lin Liu:
Accelerating Bag-of-Words with SOM. ICONIP (3) 2019: 573-584 - [c207]Yuan-Xing Zhao, Yan-Ming Zhang, Ming Song, Cheng-Lin Liu:
Multi-view Semi-supervised 3D Whole Brain Segmentation with a Self-ensemble Network. MICCAI (3) 2019: 256-265 - [i15]Xiaobing Wang, Yingying Jiang, Zhenbo Luo, Cheng-Lin Liu, Hyunsoo Choi, Sungjin Kim:
Arbitrary Shape Scene Text Detection with Adaptive Text Region Representation. CoRR abs/1905.05980 (2019) - [i14]Nibal Nayef, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie, Cheng-Lin Liu, Jean-Marc Ogier:
ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. CoRR abs/1907.00945 (2019) - 2018
- [j109]Lu Liu, Liang Shan, Yuewei Dai, Chenglin Liu, Zhidong Qi:
A Modified Quantum Bacterial Foraging Algorithm for Parameters Identification of Fractional-Order System. IEEE Access 6: 6610-6619 (2018) - [j108]Cheng-Lin Liu, Jian Yang:
Guest Editorial. CAAI Trans. Intell. Technol. 3(3): 131-132 (2018) - [j107]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. Intell. Technol. 3(3): 161-168 (2018) - [j106]Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Special Issue of BICS 2016. Cogn. Comput. 10(2): 282-283 (2018) - [j105]Yuan-Yuan Shen, Cheng-Lin Liu:
Incremental Adaptive Learning Vector Quantization for Character Recognition with Continuous Style Adaptation. Cogn. Comput. 10(2): 334-346 (2018) - [j104]Mao-Dong Xia, Cheng-Lin Liu, Fei Liu:
Formation-Containment Control of Second-Order Multiagent Systems via Intermittent Communication. Complex. 2018: 2501427:1-2501427:13 (2018) - [j103]Cheng-Lin Liu, Gernot A. Fink, Venu Govindaraju, Lianwen Jin:
Special issue on deep learning for document analysis and recognition. Int. J. Document Anal. Recognit. 21(3): 159-160 (2018) - [j102]Lu Liu, Liang Shan, Chao Jiang, Yuewei Dai, Chenglin Liu, Zhidong Qi:
A Modified PSO Algorithm for Parameters Identification of the Double-Dispersion Cole Model. J. Circuits Syst. Comput. 27(13): 1850210:1-1850210:16 (2018) - [j101]Liang Shan, Cheng-Lin Liu:
Average-consensus tracking of multi-agent systems with additional interconnecting agents. J. Frankl. Inst. 355(17): 8957-8970 (2018) - [j100]Cheng-Lin Liu, Fei Liu:
Consensus seeking of delayed high-order multi-agent systems with predictor-based algorithm. Kybernetika 54(2): 304-320 (2018) - [j99]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 Anal. Mach. Intell. 40(4): 849-862 (2018) - [j98]Cheng-Lin Liu, Liang Shan, Yang-Yang Chen, Ya Zhang:
Average-Consensus Filter of First-Order Multi-Agent Systems With Disturbances. IEEE Trans. Circuits Syst. II Express Briefs 65-II(11): 1763-1767 (2018) - [j97]Wenhao He, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Multi-Oriented and Multi-Lingual Scene Text Detection With Direct Regression. IEEE Trans. Image Process. 27(11): 5406-5419 (2018) - [c206]Tie-Qiang Wang, Cheng-Lin Liu:
Fully Convolutional Network Based Skeletonization for Handwritten Chinese Characters. AAAI 2018: 2540-2547 - [c205]Zhao Zhong, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
Practical Block-Wise Neural Network Architecture Generation. CVPR 2018: 2423-2432 - [c204]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification With Convolutional Prototype Learning. CVPR 2018: 3474-3482 - [c203]Xue-Hang Yang, Fei Yin, Cheng-Lin Liu:
Online Video Text Detection with Markov Decision Process. DAS 2018: 103-108 - [c202]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Printed/Handwritten Texts and Graphics Separation in Complex Documents Using Conditional Random Fields. DAS 2018: 145-150 - [c201]Hang Tian, Cheng-Lin Liu, Guang-Ye Liu:
Bipartite Consensus Problem of Second-order Multi-agent Systems with Disturbances. ICARCV 2018: 609-614 - [c200]Ya Zhang, Donghua Chen, Cheng-Lin Liu, Yang-Yang Chen:
Distributed Kalman/H∞ Filtering for Sensor Networks with Partial Unknown System Parameters. ICCA 2018: 1-6 - [c199]Tie-Qiang Wang, Cheng-Lin Liu:
DeepAD: A Deep Learning Based Approach to Stroke-Level Abnormality Detection in Handwritten Chinese Character Recognition. ICDM 2018: 1302-1307 - [c198]Cong Wang, Fei Yin, Cheng-Lin Liu:
Memory-Augmented Attention Model for Scene Text Recognition. ICFHR 2018: 62-67 - [c197]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Jun Sun, Cheng-Lin Liu:
Deep Transfer Mapping for Unsupervised Writer Adaptation. ICFHR 2018: 151-156 - [c196]Mao-Dong Xia, Cheng-Lin Liu, Fei Liu:
Formation-containment Control of Second-order Multi-agent Systems with Sampled Data and Intermittent Communication. ICIA 2018: 1204-1209 - [c195]Chenglin Liu, Tianlong Bao, Ming Zhu:
Part-based Feature Extraction for Person Re-identification. ICMLC 2018: 172-177 - [c194]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. ICPR 2018: 1121-1126 - [c193]Wei Feng, Wenhao He, Fei Yin, Cheng-Lin Liu:
Scene Text Detection with Recurrent Instance Segmentation. ICPR 2018: 2227-2232 - [c192]Xiaohui Li, Fei Yin, Cheng-Lin Liu:
Page Object Detection from PDF Document Images by Deep Structured Prediction and Supervised Clustering. ICPR 2018: 3627-3632 - [c191]Yao Tang, Zhenjuan Qiao, Rui Zou, Xueming Qiao, Chenglin Liu, Yiliang Wang:
Research on Monitoring Methods for Electricity Hall Staff Based on Autonomous Updating and Semi-supervising Model. ICPCSEE (2) 2018: 359-376 - [c190]Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu:
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks. IJCAI 2018: 1057-1063 - [c189]Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Image-to-Markup Generation via Paired Adversarial Learning. ECML/PKDD (1) 2018: 18-34 - [e11]Jinchang Ren, Amir Hussain, Jiangbin Zheng, Cheng-Lin Liu, Bin Luo, Huimin Zhao, Xinbo Zhao:
Advances in Brain Inspired Cognitive Systems - 9th International Conference, BICS 2018, Xi'an, China, July 7-8, 2018, Proceedings. Lecture Notes in Computer Science 10989, Springer 2018, ISBN 978-3-030-00562-7 [contents] - [e10]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11256, Springer 2018, ISBN 978-3-030-03397-2 [contents] - [e9]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11257, Springer 2018, ISBN 978-3-030-03334-7 [contents] - [e8]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11258, Springer 2018, ISBN 978-3-030-03337-8 [contents] - [e7]Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha:
Pattern Recognition and Computer Vision - First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11259, Springer 2018, ISBN 978-3-030-03340-8 [contents] - [i13]Hong-Ming Yang, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu:
Robust Classification with Convolutional Prototype Learning. CoRR abs/1805.03438 (2018) - [i12]Yi-Chao Wu, Fei Yin, Xu-Yao Zhang, Li Liu, Cheng-Lin Liu:
SCAN: Sliding Convolutional Attention Network for Scene Text Recognition. CoRR abs/1806.00578 (2018) - [i11]Chu Wang, Yan-Ming Zhang, Cheng-Lin Liu:
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks. CoRR abs/1808.00200 (2018) - [i10]Zhao Zhong, Zichen Yang, Boyang Deng, Junjie Yan, Wei Wu, Jing Shao, Cheng-Lin Liu:
BlockQNN: Efficient Block-wise Neural Network Architecture Generation. CoRR abs/1808.05584 (2018) - 2017
- [j96]Mei-Mei Duan, Cheng-Lin Liu, Fei Liu:
Event-Triggered Consensus Seeking of Heterogeneous First-Order Agents With Input Delay. IEEE Access 5: 5215-5223 (2017) - [j95]Chenglin Liu, Yu-Hang Zhang, Tao Huang, Yudong Cai:
Identification of transcription factors that may reprogram lung adenocarcinoma. Artif. Intell. Medicine 83: 52-57 (2017) - [j94]Heng Zhang, Xiang-Dong Zhou, Cheng-Lin Liu:
Keyword spotting in handwritten chinese documents using semi-markov conditional random fields. Eng. Appl. Artif. Intell. 58: 49-61 (2017) - [j93]Guo-Sen Xie, Xu-Yao Zhang, Shuicheng Yan, Cheng-Lin Liu:
SDE: A Novel Selective, Discriminative and Equalizing Feature Representation for Visual Recognition. Int. J. Comput. Vis. 124(2): 145-168 (2017) - [j92]Xueyun Chen, Ren-Xi Gong, Ling-Ling Xie, Shiming Xiang, Cheng-Lin Liu, Chunhong Pan:
Building Regional Covariance Descriptors for Vehicle Detection. IEEE Geosci. Remote. Sens. Lett. 14(4): 524-528 (2017) - [j91]Xu-Yao Zhang, Yoshua Bengio, Cheng-Lin Liu:
Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. Pattern Recognit. 61: 348-360 (2017) - [j90]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 Recognit. 65: 251-264 (2017) - [j89]Guo-Sen Xie, Xu-Yao Zhang, Wenhan Yang, Mingliang Xu, Shuicheng Yan, Cheng-Lin Liu:
LG-CNN: From local parts to global discrimination for fine-grained recognition. Pattern Recognit. 71: 118-131 (2017) - [j88]Cheng-Lin Liu, Bin Luo, Walter G. Kropatsch:
Special issue "Advances in graph-based pattern recognition". Pattern Recognit. Lett. 87: 1-3 (2017) - [j87]