publications
- cheng-lin liu, yue lu (eds.), advances in chinese document and text processing, series on language processing, pattern recognition, and intelligent systems, world scientific, isbn 978-981-3143-67-8, 2017.
- pasquale foggia, cheng-lin liu, mario vento (eds.), graph-based representations in pattern recognition – 11th iapr-tc-15 international workshop, gbrpr 2017, anacapri, italy, may 16-18, 2017, lncs 10310, isbn 978-3-310-58960-2, springer, 2017.
- xu-yao zhang, yoshua bengio, cheng-lin liu, online and offline handwritten chinese character recognition: a comprehensive study and new benchmark, pattern recognition, 61: 348-360, 2017.
- heng zhang, xiang-dong zhou, cheng-lin liu, keyword spotting from handwritten chinese documents based on semi-markov conditional random fields, engineering applications of artificial intelligence, 58: 49-61, 2017.
- yi-chao wu, fei yin, cheng-lin liu, improving handwritten chinese text recognition usingneural network language models and convolutional neural network shape models, pattern recognition, 65: 251-264, 2017.
- 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.
- xueyun chen, ren-xi gong, ling-ling xie, shiming xiang, cheng-lin liu, chunhong pan, building regional covariance descriptors for vehicle detection, ieee geoscience and remote sensing letters, 14(4): 524-528, 2017.
- 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.
- 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), 2017, accepted.
- dongdong wang, xinwenhou, 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, 2017. accepted.
- 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, accepted, 2017.
- 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, 2017, accepted.
- yuan-yuan shen, cheng-lin liu, incremental adaptive learning vector quantization for character recognition with continuous style adaptation, cognitive computation, 2017, accepted.
- yuchun fang, zhengyan ma, zhaoxiang zhang, xu-yao zhang, xiang bai. dynamic multi-task learning with convolutional neural network. international joint conference on artificial intelligence (ijcai), melbourne, australia, august 19-25, 2017.
- jie yang, chunhong pan, cheng-lin liu, xinwei jiang, enhancement of low light level images with regression methods, proc. 9th international conference on digital image processing (icdip 2017), hong kong, may 19-22, 2017.
- guibo zhu, zhaoxiang zhang, xu-yao zhang, cheng-lin liu, diverse neuron type selection for convolutional neural networks, ijcai 2017.
- bi-ren tan, chinese handwriting generation by neural network based style transformation, proc. 9th int. conf. on image and graphics (icig), shanghai, 2017.
- ting-bing xu, margin-aware binarized weight networks for image classification, proc. 9th int. conf. on image and graphics (icig), shanghai, 2017.
- zhuo chen, yichao wu, fei yin and cheng-lin liu, simultaneous script identification and handwriting recognition via multi-task learning of recurrent neural networks, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- xue-hang yang, wenhao he, fei yin and cheng-lin liu, a unified video text detection method with network flow, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- tie-qiang wang, fei yin and cheng-lin liu, radical-based chinese character recognition via multi-labeled learning of deep residual networks, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- hong-ming yang, xu-yao zhang, fei yin and cheng-lin liu, handwriting style mixture adaptation, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- yi-chao wu, fei yin, zhuo chen and cheng-lin liu, handwritten chinese text recognition using separable multi-dimensional recurrent neural network, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- yue xu, wenhao he, fei yin and cheng-lin liu, page segmentation for historical handwritten documents using fully convolutional networks, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- cong wang, fei yin and cheng-lin liu, scene text detection with novel superpixel based character candidate extraction, proc. 14th int. conf. document analysis and recognition (icdar), osaka, 2017.
- wenhao he, xu-yao zhang, fei yin, cheng-lin liu, deep direct regression for multi-oriented scene text detection, iccv 2017, venice, italy, oct. 22-29, 2017.
- 刘国帅、仲伟峰、殷飞、刘成林，自然场景图像与合成图像的快速分类，中国图象图形学报，2017. g. liu, w. zhong, f. yin, c. liu, fast classification of natural scene and born-digital images, chinese journal of image and graphics, 2017.