publications
- yuan-xing zhao, yan-ming zhang, cheng-lin liu, bags of tricks for 3d mri brain tumor segmentation, in: alessandro crimi and spyridon bakas (eds.), brainlession: glioma, multiple sclerosis, stroke and traumatic brain injuries (5th international workshop, brainles 2019), lncs 11992, springer, 2020, pp.210-220.
- 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.
- 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.
- yunxue shao, cheng-lin liu, teaching machines to write like humans using l-attributed grammar, engineering applications of artificial intelligence, 90: 103489, 2020.
- 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.
- jinpeng li, shuang qiu, yuan-yuan shen, cheng-lin liu, huiguang he, multisource transfer learning for cross-subject eeg emotion recognition, ieee trans. cybernetics, 50(7): 3281-3293, 2020.
- 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.
- 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.
- xu-yao zhang, cheng-lin liu, ching y. suen, towards robust pattern recognition: a review, proceedings of the ieee, 108(6): 894-922, 2020.
- 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.
- wujiaheimaiti simayi, mayire ibrahim, xu-yao zhang, cheng-lin liu, askar hamdulla, a benchmark for unconstrained online handwritten uyghur word recognition, int. j. document analysis and recognition, 23: 205-218, 2020.
- 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.
- 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.
- zhiqiang chen, ting-bing xu, changde du, cheng-lin liu, huiguang he, dynamical channel pruning by conditional accuracy change for deep neural networks, ieee trans. neural networks and learning systems, 32(2): 799-813, 2020.
- cong wang, cheng-lin liu, scene text recognition by attention network with gated embedding, proc. ijcnn, glasgow, uk, july 19-24, 2020. poster
- xiao-hui li, fei yin, cheng-lin liu, page segmentation using convolutional neural network and graphical model, proc. 14th iapr int. workshop on document analysis systems (das 2020), wuhan, china, july 26-29, 2020. oral
- guo-wang xie, fei yin, xu-yao zhang, cheng-lin liu, dewarping document image by displacement flow estimation with fully convolutional network, proc. 14th iapr int. workshop on document analysis systems (das 2020), wuhan, china, july 26-29, 2020. best student paper. oral
- ming-chao xu, fei yin, cheng-lin liu, srr-gan: super-resolution recognition gan for low-resolved text images, proc. 17th icfhr, dortmund, germany, september 7-10, 2020. oral
- zhen-xing wang, qiu-feng wang, fei yin, cheng-lin liu, weakly supervised learning for over-segmentation based handwritten chinese text recognition, proc. 17th icfhr, dortmund, germany, september 7-10, 2020. oral
- da-han wang, fei-yin, jin-wen wu, yu-pei yan, zhi-cai huang, gui-yun chen, yao wang, cheng-lin liu, icfhr 2020 competition on offline recognition and spotting of handwritten mathematical expressions – offrashme, proc. 17th icfhr, dortmund, germany, september 7-10, 2020. oral
- zheng-yu zhu, fei yin, da-han wang, attention combination of sequence models for handwritten chinese text recognition, proc. 17th icfhr, dortmund, germany, september 7-10, 2020, pp.288-294.
- long-fei xie, xu-yao zhang, gate-fusion transformer for multimodal sentiment analysis, pattern recognition and artificial intelligence, proc. icprai 2020, zhongshan, china, oct. 19-23, 2020, springer, pp.28-40, 2020.