-澳门游戏娱乐场棋牌

��<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/tr/rec-html40"> <head> <meta http-equiv=content-type content="text/html; charset=unicode"> <meta name=progid content=word.document> <meta name=generator content="microsoft word 15"> <meta name=originator content="microsoft word 15"> <link rel=file-list href="2020.files/filelist.xml"> <link rel=edit-time-data href="2020.files/editdata.mso">  <title>2020��e</title>  <link rel=themedata href="2020.files/themedata.thmx"> <link rel=colorschememapping href="2020.files/colorschememapping.xml">  <style>  </head> <body lang=zh-cn link="#0563c1" vlink="#954f72" style='tab-interval:21.0pt'> <div class=wordsection1> <img width=998 height=125 id="_x0000_i1025" src="../nlpr.jpg"><o:p></o:p> <div align=center> <table class=msonormaltable border=1 cellspacing=0 cellpadding=0 width=1117 style='width:838.0pt;border-collapse:collapse;border:none;mso-border-alt:solid windowtext .5pt; mso-yfti-tbllook:1184;mso-padding-alt:0cm 0cm 0cm 0cm'> <colgroup><col width="1117" style="width: 838pt"></colgroup> <tr style='mso-yfti-irow:0;mso-yfti-firstrow:yes;height:15.0pt'> <td width=1117 style='width:838.0pt;border:solid windowtext 1.0pt;border-bottom: none;mso-border-top-alt:solid windowtext .5pt;mso-border-left-alt:solid windowtext .5pt; mso-border-right-alt:solid windowtext .5pt;padding:.75pt .75pt 0cm .75pt; height:15.0pt'> 2020��e�vu_ <o:p></o:p> </td> </tr> <tr style='mso-yfti-irow:1;height:15.0pt'> <td width=1117 style='width:838.0pt;border-top:none;border-left:solid windowtext 1.0pt; border-bottom:none;border-right:solid windowtext 1.0pt;mso-border-left-alt: solid windowtext .5pt;mso-border-right-alt:solid windowtext .5pt;padding: .75pt .75pt 0cm .75pt;height:15.0pt'>  list of publications<o:p></o:p> </td> </tr> <tr style='mso-yfti-irow:2;mso-yfti-lastrow:yes;height:15.0pt'> <td width=1117 style='width:838.0pt;border:solid windowtext 1.0pt;border-top: none;mso-border-left-alt:solid windowtext .5pt;mso-border-bottom-alt:solid windowtext .5pt; mso-border-right-alt:solid windowtext .5pt;padding:.75pt .75pt 0cm .75pt; height:15.0pt'>  <a name="_toc66800735"></a><a name="_toc24098141"></a><a name="_toc532562225"></a><a name="_toc532391194">�n �w�</a><a name="_toc24465890"></a>books / chapters<o:p></o:p> <![if !supportlists]>1.        <![endif]>jun wan, guodong guo, sergio escalera, hugo jair escalante, stan z. li (eds.), multi-modal face presentation attack detection, synthesis lectures on computer vision, isbn:9781681739229, morgan & claypool publishers, 2020.<o:p></o:p> <![if !supportlists]>2.        <![endif]>thomas moeslund, sergio escalera, gholamreza anbarjafari, kamal nasrollahi, jun wan (eds.), statistical machine learning for human behaviour analysis, isbn:978-3-03936-228-8, mdpi, 2020.<o:p></o:p> <![if !supportlists]>3.        <![endif]>yi li, huaibo huang, ran he, tieniu tan, heterogeneous facial analysis and synthesis, isbn: 978-981-13-9148-4, springer, 2020<o:p></o:p> <o:p> </o:p> <a name="_toc66800736"></a><a name="_toc24098142"></a><a name="_toc532562227"></a><a name="_toc532391196">�ve� rir</a><a name="_toc24465891"></a><a name="_toc24360999"></a><a name="_toc532562397"></a>international journals<o:p></o:p> <a name="_toc66800737"></a><a name="_toc24098143"></a><a name="_toc532562228"></a><a name="_toc532391197">��{:gɖɉ</a><a name="_toc24465892"></a><a name="_toc24361000"></a><a name="_toc532562398"></a>computer vision<o:p></o:p> <![if !supportlists]>1.        <![endif]>ruijin chen, wei gao. color-guided depth map super-resolution using a dual-branch multi-scale residual network with channel interaction. sensors, 20(6), 1560, 2020.<o:p></o:p> <![if !supportlists]>2.        <![endif]>wei wang, wei gao, hainan cui, zhanyi hu. reconstruction of lines and planes of urban buildings with angle regularization. isprs journal of photogrammetry and remote sensing, 165, pp 54-66, 2020.<o:p></o:p> <![if !supportlists]>3.        <![endif]>q. dong*, b. liu and z. hu. non-uniqueness phenomenon of object representation in modelling it cortex by deep convolutional neural network (dcnn). frontiers in computational neuroscience, 14:35, 2020<o:p></o:p> <![if !supportlists]>4.        <![endif]>l. chang, l. jin, l. weng, w. chao, x. wang, x. deng, and q. dong*. face-sketch learning with human sketch-drawing order enforcement. science china information sciences, 63, 219103:1 219103:3, 2020<o:p></o:p> <![if !supportlists]>5.        <![endif]>hainan cui, tianxin shi, jun zhang, pengfei xu, yiping meng, shuhan shen. view-graph construction framework for robust and efficient structure-from-motion. pattern recognition, 2020.<o:p></o:p> <![if !supportlists]>6.        <![endif]>yu chen, shuhan shen, yisong chen, guoping wang. graph-based parallel large scale structure from motion. pattern recognition, 107: 107537, 2020.<o:p></o:p> <![if !supportlists]>7.        <![endif]>hongmin liu, xincheng tang, shuhan shen. depth-map completion for large indoor scene reconstruction. pattern recognition, 99: 107112, 2020.<o:p></o:p> <![if !supportlists]>8.        <![endif]>lingjie zhu, shuhan shen, xiang gao, zhanyi hu. urban scene vectorized modeling based on contour deformation. isprs international journal of geo-information, 9(3), 162, 2020.<o:p></o:p> <![if !supportlists]>9.        <![endif]>xiang gao, shuhan shen, lingjie zhu, tianxin shi, zhiheng wang, and zhanyi hu. complete scene reconstruction by merging images and laser scans. ieee transactions on circuits and systems for video technology, 30(10): 3688-3701, 2020.<o:p></o:p> <![if !supportlists]>10.    <![endif]>fulin tang, yihong wu, xiaohui hou, haibin ling. 3d mapping and 6d pose computation for real time augmented reality on cylindrical objects. ieee transactions on circuits and systems for video technology, vol. 30, issue 9, pp. 2887-2899, 2020. <o:p></o:p> <![if !supportlists]>11.    <![endif]>shan zhang, xiaoshan yang, yanxia liu, changsheng xu, asymmetric multi-stage cnns for small-scale pedestrian detection. neurocomputing, vol. 409, pp. 12-26, 2020<o:p></o:p> <![if !supportlists]>12.    <![endif]>yuyang zhang, shibiao xu, baoyuan wu, jian shi, weiliang meng and xiaopeng zhang. unsupervised multi-view constrained convolutional network for accurate depth estimation. ieee transactions on image processing. 2020, 29: 7019-7031.<o:p></o:p> <![if !supportlists]>13.    <![endif]>wei ma, chaofan gong, shibiao xu, xiaopeng zhang: multi-scale spatial context-based semantic edge detection. inf. fusion 64: 238-251 (2020)<o:p></o:p> <![if !supportlists]>14.    <![endif]>wei ma, mana zheng, wenguang ma, shibiao xu, xiaopeng zhang: learning across views for stereo image completion. iet comput. vis. 14(7): 482-492 (2020)<o:p></o:p> <![if !supportlists]>15.    <![endif]>yong zhao, yuqi cheng, xishan zhang, shibiao xu, shuhui bu, hongkai jiang, pengcheng han, ke li, gang wan: real-time orthophoto mosaicing on mobile devices for sequential aerial images with low overlap. remote. sens. 12(22): 3739 (2020)<o:p></o:p> <![if !supportlists]>16.    <![endif]>jianbo liu, ying wang, yongcheng liu, shiming xiang and chunhong pan. 3d posturenet: a unified framework for skeleton-based posture recognition, pattern recognition letters, vol. 140, pp 143-149, 2020.<o:p></o:p> <![if !supportlists]>17.    <![endif]>xiyan liu, gaofeng meng, bin fan, shiming xiang, chunhong pan. geometric rectification of document images using adversarial gated unwarping network, pattern recognition, vol. 108, pp. 107576, 2020.<o:p></o:p> <![if !supportlists]>18.    <![endif]>jin gao, qiang wang, junliang xing, haibin ling, weiming hu, and stephen maybank tracking-by-fusion via gaussian process regression extended to transfer learning, ieee transactions on pattern analysis and machine intelligence (pami), vol. 42, no. 4, pp. 939-955, april 2020.<o:p></o:p> <![if !supportlists]>19.    <![endif]>weiming hu, xinchu shi, zongwei zhou, junliang xing, haibin ling, and stephen maybank, dual l1-normalized context aware tensor power iteration and its applications to multi-object tracking and multi-graph matching, international journal of computer vision (ijcv), vol. 128, no. 2, pp. 360-392, february 2020.<o:p></o:p> <![if !supportlists]>20.    <![endif]>weiming hu, jun gao, bing li, ou wu, junping du, and stephen maybank, anomaly detection using local kernel density estimation and context-based regression, ieee transactions on knowledge and data engineering (kde), vol. 32, no. 2, pp. 218-233, february 2020.<o:p></o:p> <![if !supportlists]>21.    <![endif]>xinwei huang, bing li, shuai li, wenjuan li, weihua xiong, xuanwu yin, weiming hu, and hong qin, multi-cue semi-supervised color constancy with limited training samples, ieee transactions on image processing (tip), vol. 29, pp. 7875-7888, 2020.<o:p></o:p> <![if !supportlists]>22.    <![endif]>wenjuan li, bing li, chunfeng yuan, haohao wu, yangxi li, weiming hu, and fangshi wang, anisotropic convolution for image classi�cation, ieee transactions on image processing (tip), vol. 29, no. 1, pp. 5584-5595, december 2020.<o:p></o:p> <![if !supportlists]>23.    <![endif]>hao yang, chunfeng yuan, li zhang, yunda sun, weiming hu, stephen j. maybank, sta-cnn: convolutional spatial-temporal attention learning for action recognition, ieee transactions on image processing (tip), vol. 29, no. 1, pp. 5783-5793, december 2020.<o:p></o:p> <![if !supportlists]>24.    <![endif]>guan luo, jiutong wei, weiming hu, and stephen j. maybank, tangent fisher vector on matrix manifolds for action recognition, ieee transactions on image processing (tip), vol. 29, no. 1, pp. 3052-3064, 2020.<o:p></o:p> <![if !supportlists]>25.    <![endif]>songyan liu, haiyun guo, jian-guo hu, xu zhao, chaoyang zhao, tong wang, yousong zhu, jinqiao wang, ming tang: a novel data augmentation scheme for pedestrian detection with attribute preserving gan. neurocomputing 401: 123-132 ,2020<o:p></o:p> <![if !supportlists]>26.    <![endif]>xiang wu, ran he, yibo hu, zhenan sun, learning an evolutionary embedding via massive knowledge distillation, international journal of computer vision, vol. 128, no. 8-9, pp. 2089-2106, 2020.<o:p></o:p> <![if !supportlists]>27.    <![endif]>yi li, huaibo huang, jie cao, ran he, tieniu tan, disentangled representation learning of makeup portraits in the wild, international journal of computer vision, vol. 128, no. 8-9, pp. 2166-2184, 2020.<o:p></o:p> <![if !supportlists]>28.    <![endif]>qi li, zhenan sun, ran he, tieniu tan, a general framework for deep supervised discrete hashing, international journal of computer vision, vol. 128, no. 8-9, pp. 2204-2222, 2020.<o:p></o:p> <![if !supportlists]>29.    <![endif]>xin zheng, yanqing guo, huaibo huang, yi li, ran he, a survey of deep facial attribute analysis, international journal of computer vision, vol. 128, no. 8-9, pp. 2002-2034, 2020.<o:p></o:p> <![if !supportlists]>30.    <![endif]>jie cao, yibo hu, hongwen zhang, ran he, zhenan sun, towards high fidelity face frontalization in the wild, international journal of computer vision, vol. 128, no. 5, pp. 1485-1504, 2020.<o:p></o:p> <![if !supportlists]>31.    <![endif]>wei xue, hong ai, tianyu sun, chunfeng song, yan huang, liang wang, frame-gan: increasing the frame rate of gait videos with generative adversarial networks, neurocomputing, vol. 380, pp. 95-104, 2020.<o:p></o:p> <o:p> </o:p> <a name="_toc66800738"></a><a name="_toc24098144"></a><a name="_toc532562229"></a><a name="_toc532391198">�va�</a>/ɖ��ytnr�g<a name="_toc24465893"></a><a name="_toc24361001"></a><a name="_toc532562399"></a>image/video processing and analysis<o:p></o:p> <![if !supportlists]>32.    <![endif]>xingjia pan, fan tang, weiming dong, yang gu, zhichao song, yiping meng, pengfei xu, oilver deussen, changsheng xu: self-supervised feature augmentation for large image object detection. ieee transactions on image processing 29: 6745-6758 ,2020<o:p></o:p> <![if !supportlists]>33.    <![endif]>feifei zhang, tianzhu zhang, qirong mao, changsheng xu, geometry guided pose-invariant facial expression recognition . ieee trans. image process. 29: 4445-4460 ,2020<o:p></o:p> <![if !supportlists]>34.    <![endif]>feifei zhang, tianzhu zhang, qirong mao, changsheng xu, a unified deep model for joint facial expression recognition, face synthesis, and face alignment . ieee trans. image process. 29: 6574-6589 ,2020<o:p></o:p> <![if !supportlists]>35.    <![endif]>lei shi, yifan zhang, jian cheng, hanqing lu. skeleton-based action recognition with multi-stream adaptive graph convolutional networks. ieee transactions on image processing (tip), vol.29, pp.9532-9545, 2020<o:p></o:p> <![if !supportlists]>36.    <![endif]>chunjie zhang, jian cheng, qi tian. multi-view image classification with visual, semantic and view consistency. ieee transactions on image processing (tip), vol.29, pp.617-627, 2020<o:p></o:p> <![if !supportlists]>37.    <![endif]>yousong zhu, xu zhao, chaoyang zhao, jinqiao wang, hanqing lu: food det: detecting foods in refrigerator with supervised transformer network. neurocomputing 379: 162-171 ,2020<o:p></o:p> <![if !supportlists]>38.    <![endif]>linyu zheng, yingying chen, ming tang, jinqiao wang, hanqing lu: siamese deformable cross-correlation network for real-time visual tracking. neurocomputing 401: 36-47 ,2020<o:p></o:p> <![if !supportlists]>39.    <![endif]>xiaomei zhang, yingying chen, bingke zhu, jinqiao wang, ming tang: semantic-spatial fusion network for human parsing. neurocomputing 402: 375-383 ,2020<o:p></o:p> <![if !supportlists]>40.    <![endif]>kai niu, yan huang, wanli ouyang, liang wang, improving description-based person re-identification by multi-granularity image-text alignments, ieee trans. on image processing, vol. 29, pp. 5542-5556, 2020.<o:p></o:p> <![if !supportlists]>41.    <![endif]>jingyu liu, wei wang, liang wang, ming-hsuan yang, attribute-guided attention for referring expression generation and comprehension, ieee trans. on image processing, vol. 29, pp. 5244-5258, 2020.<o:p></o:p> <![if !supportlists]>42.    <![endif]>zhen jia, zhang zhang, liang wang, caifeng shan, tieniu tan, deep unbiased embedding transfer for zero-shot learning, ieee trans. on image processing, vol. 29, pp. 1958-1971, 2020.<o:p></o:p> <![if !supportlists]>43.    <![endif]>yuqi zhang, yongzhen huang, shiqi yu, liang wang, cross-view gait recognition by discriminative feature learning, ieee trans. on image processing, vol. 29, pp. 1001-1015, 2020.<o:p></o:p> <![if !supportlists]>44.    <![endif]>fei liu, shubo zhou, yunlong wang, guangqi hou, zhenan sun, tieniu tan, binocular light-field: imaging theory and occlusion-robust depth perception application, ieee trans. on image processing, vol. 29, pp. 1628-1640, 2020.<o:p></o:p> <![if !supportlists]>45.    <![endif]>yuxi wang, zhaoxiang zhang, wangli hao, chunfeng song, multi-domain image-to-image translation via a unified circular framework, ieee trans. on image processing, vol. 30, pp. 670-684, 2020.<o:p></o:p> <![if !supportlists]>46.    <![endif]>yuxi wang, zhaoxiang zhang, wangli hao, chunfeng song, attention guided multiple source and target domain adaptation, ieee trans. on image processing, vol. 30, pp. 892-906, 2020.<o:p></o:p> <![if !supportlists]>47.    <![endif]>wangli hao, ian max andolina, wei wang, zhaoxiang zhang, biologically inspired visual computing: the state of the art, frontiers of computer science, vol. 15, no. 1, 2020.<o:p></o:p> <![if !supportlists]>48.    <![endif]>yunlong wang, fei liu, kunbo zhang, zilei wang, zhenan sun, tieniu tan, high-fidelity view synthesis for light field imaging with extended pseudo 4dcnn, ieee trans. on computational imaging, vol. 6, pp. 830-842, 2020.<o:p></o:p> <![if !supportlists]>49.    <![endif]>weining wang, qi li, liang wang, robust object tracking via information theoretic measures, international journal of automation and computing, vol. 17, no. 5, pp. 652-666, 2020.<o:p></o:p> <o:p> </o:p> <a name="_toc66800739">�n�]zf��</a>artificial intelligence<o:p></o:p> <![if !supportlists]>50.    <![endif]>feifei zhao, yi zeng, aike guo, haifeng su, bo xu, a neural algorithm for drosophila linear and nonlinear decision-making , scientific reports, vol.10, pp. 18660, 2020.<o:p></o:p> <![if !supportlists]>51.    <![endif]>qian zhang, yi zeng and taoyi yang, computational investigation of contributions from different subtypes of interneurons in prefrontal cortex for information maintenance �scientific reports, vol.10, pp. 4617, 2020.<o:p></o:p> <![if !supportlists]>52.    <![endif]>feifei zhao, qingqun kong, yi zeng, bo xu, a brain-inspired visual fear responses model for uav emergent obstacle dodging , ieee transactions on cognitive and developmental systems, vol. 12, no. 1, pp. 124-132, 2020.<o:p></o:p> <![if !supportlists]>53.    <![endif]>qian liang, yi zeng and bo xu, temporal-sequential learning with a brain-inspired spiking neural network and its application to musical memory , frontiers in computational neuroscience, vol. 14, pp. 51, 2020.<o:p></o:p> <![if !supportlists]>54.    <![endif]>bin fan, qingqun kong, xinchao wang, zhiheng wang, shiming xiang, chunhong pan, and pascal fua. " a brain-inspired model of theory of mind ", frontiers in neurorobotics, vol. 14, no.60, pp. 1 - 17, 2020.<o:p></o:p> <![if !supportlists]>55.    <![endif]>dongcheng zhao, yi zeng, tielin zhang, mengting shi, and feifei zhao, glsnn: a multi-layer spiking neural network based on global feedback alignment and local stdp plasticity , frontiers in computational neuroscience, vol. 14, pp. 576841, 2020<o:p></o:p> <o:p> </o:p> <a name="_toc66800740"></a><a name="_toc24098145"></a><a name="_toc532562230"></a><a name="_toc532391199">!j_ƌ r</a><a name="_toc24465894"></a><a name="_toc24361002"></a><a name="_toc532562400"></a>pattern recognition<o:p></o:p> <![if !supportlists]>56.    <![endif]>xuelin ma,shuang qiu,huiguang he, multi-channel eeg recording during motor imagery of different joints from the same limb ,scientific data, 2020. <o:p></o:p> <![if !supportlists]>57.    <![endif]>jiezhen xing,shuang qiu,xuelin ma,chenyao wu,jinpeng li,shengpei wang,huiguang he, a cnn-based comparing network for the detection of steady-state visual evoked potential responses, neurocomputing, vol.403,pp.452-461,2020. <o:p></o:p> <![if !supportlists]>58.    <![endif]>jinpeng li,shuang qiu,changde du,yixin wang,huiguang he, domain adaptation for eeg emotion recognition based on latent representation similarity, ieee transactions on cognitive and developmental systems,vol.12,no.2,pp.344-353,2020. <o:p></o:p> <![if !supportlists]>59.    <![endif]>xuelin ma,shuang qiu,wei wei,shengpei wang,huiguang he , deep channel-correlation network for motor imagery decoding from same limb, ieee transactions on neural systems and rehabilitation engineering,vol.28,no.1,pp.297-306,2020. <o:p></o:p> <![if !supportlists]>60.    <![endif]>weize quan, kai wang, dong-ming yan, xiaopeng zhang, dennis pellerin. learn with diversity and from harder samples: improving the generalization of cnn-based detection of computer-generated images, forensic science international digital investigation, 2020<o:p></o:p> <![if !supportlists]>61.    <![endif]>ruisong zhang, weize quan, lubin fan, liming hu, dong-ming yan. distinguishing computer-generated images from natural images using channel and pixel correlation, journal of computer science and technology, 2020<o:p></o:p> <![if !supportlists]>62.    <![endif]>xiaolong yang, xiaohong jia, mengke yuan, dong-ming yan. real-time facial pose estimation and tracking by coarse-to-fine iterative optimization, tsinghua science and technology, 2020<o:p></o:p> <![if !supportlists]>63.    <![endif]>xiaohan liu, lei ma, jianwei guo, dong-ming yan. parallel computation of 3d clipped voronoi diagrams. parallel computation of 3d clipped voronoi diagrams.2020.<o:p></o:p> <![if !supportlists]>64.    <![endif]>parallel computation of 3d clipped voronoi diagrams. realistic procedural plant modeling from multiple view images.<o:p></o:p> ieee transactions on visualization and computer graphics.2020<o:p></o:p> <![if !supportlists]>65.    <![endif]>yuxin chen, gaoqun ma, chunfeng yuana, bing li, hui zhang, fangshi wang, and weiming hu, graph convolutional network with structure pooling and joint-wise channel attention for action recognition, pattern recognition, vol. 103, pp. 107321: 1-13, july 2020.<o:p></o:p> <![if !supportlists]>66.    <![endif]>zongwei zhou, wenhan luo, qiangwang, junliang xing, and weiming hu, distractor- aware discrimination learning for online multiple object tracking, pattern recognition, vol. 107, pp. 1-10 ,november 2020.<o:p></o:p> <![if !supportlists]>67.    <![endif]>qiang chen, peisong wang, anda cheng, wanguo wang, yifan zhang, jian cheng. robust one-stage object detection with location-aware classifiers. pattern recognition (pr), vol.105, september,107334, 2020<o:p></o:p> <![if !supportlists]>68.    <![endif]>yifan zhang, lei shi, yi wu, ke cheng, jian cheng, hanqing lu: gesture recognition based on deep deformable 3d convolutional neural networks. pattern recognit. 107: 107416 ,2020<o:p></o:p> <![if !supportlists]>69.    <![endif]>jun fu, jing liu, yong li, yongjun bao, weipeng yan, zhiwei fang, hanqing lu: contextual deconvolution network for semantic segmentation. pattern recognit. 101: 107152 ,2020<o:p></o:p> <![if !supportlists]>70.    <![endif]>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, vol. 98, pp. 107026, 2020.<o:p></o:p> <![if !supportlists]>71.    <![endif]>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, vol. 23, pp. 31-52, 2020.<o:p></o:p> <![if !supportlists]>72.    <![endif]>xu-yao zhang, cheng-lin liu, ching y. suen, towards robust pattern recognition: a review, proceedings of the ieee, vol. 108(6), pp. 894-922, 2020. <o:p></o:p> <![if !supportlists]>73.    <![endif]>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, vol. 1, pp. 163, 2020.<o:p></o:p> <![if !supportlists]>74.    <![endif]>yunxue shao, cheng-lin liu, teaching machines to write like humans using l-attributed grammar, engineering applications of artificial intelligence, vol. 90, pp. 103489, 2020.<o:p></o:p> <![if !supportlists]>75.    <![endif]>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, vol.23, pp. 205-218, 2020.<o:p></o:p> <![if !supportlists]>76.    <![endif]>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, vol. 108, pp. 107555, 2020.<o:p></o:p> <![if !supportlists]>77.    <![endif]>jin-wen wu, fei yin, yan-ming zhang, xu-yao zhang, 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(2020). detailed 3d face reconstruction from single images via self-supervised attribute learning. in siggraph asia 2020 posters (pp. 1-2).<o:p></o:p> <![if !supportlists]>103.<![endif]>zhongqi wu, chuanqing zhuang, jun xiao, and jianwei guo. 2020. deep specular highlight removal for single real-world image. in siggraph asia 2020 (sa 20 posters), december 04-13, 2020. acm, new york, ny, usa, 2 pages<o:p></o:p> <![if !supportlists]>104.<![endif]>zeyu shen, mingyang zhao, xiaohong jia, dong-ming yan. using convex hull for fast and accurate ellipse detection, siggraph posters 2020 <o:p></o:p> <![if !supportlists]>105.<![endif]>youxin pang, mengke yuan, qiang fu, dong-ming yan. reflection removal via realistic training data generation, siggraph posters 2020<o:p></o:p> <o:p> </o:p> <a name="_toc66800757"></a><a name="_toc24098158">y�zso��{</a><a name="_toc24465907"></a><a name="_toc24361015"></a>multimedia computing<o:p></o:p> <![if !supportlists]>106.<![endif]>yingying deng, fan tang, weiming dong, wen sun, feiyue huang, changsheng xu: arbitrary style transfer via multi-adaptation network. acm multimedia 2020: 2719-2727<o:p></o:p> <![if !supportlists]>107.<![endif]>minxuan lin, yingying deng, fan tang, weiming dong, changsheng xu:� multi-attribute guided painting generation. the 2nd ieee workshop on artificial intelligence for art creation (aiart) 2020: 400-403<o:p></o:p> <![if !supportlists]>108.<![endif]>yukun zuo, hantao yao, changsheng xu: category-level adversarial self-ensembling for domain adaptation. icme 2020: 1-6<o:p></o:p> <![if !supportlists]>109.<![endif]>shaobo min, hongtao xie, hantao yao*, xuran deng, zheng-jun zha, yongdong zhang: hierarchical granularity transfer learning. neurips 2020<o:p></o:p> <![if !supportlists]>110.<![endif]>shaobo min, hantao yao, hongtao xie, chaoqun wang, zheng-jun zha, yongdong zhang: domain-aware visual bias eliminating for generalized zero-shot learning. cvpr 2020: 12661-12670<o:p></o:p> <![if !supportlists]>111.<![endif]>yanfei han, quan fang, jun hu, shengsheng qian, changsheng xu, gaeat: graph auto-encoder attention networks for knowledge graph completion. cikm 2020: 2053-2056<o:p></o:p> <![if !supportlists]>112.<![endif]>chunyang li, zhineng chen, caiyan jia, hongyun bao, changsheng xu, autosoccer: an automatic soccer live broadcasting generator . icme workshops 2020: 1-2<o:p></o:p> <![if !supportlists]>113.<![endif]>youze wang, shengsheng qian, jun hu, quan fang, changsheng xu, fake news detection via knowledge-driven multimodal graph convolutional networks . icmr 2020: 540-547<o:p></o:p> <![if !supportlists]>114.<![endif]>jun hu, quan fang, shengsheng qian, changsheng xu, multi-modal attentive graph pooling model for community question answer matching . acm multimedia 2020: 3505-3513<o:p></o:p> <![if !supportlists]>115.<![endif]>yingying zhang, quan fang, shengsheng qian, changsheng xu, multi-modal multi-relational feature aggregation network for medical knowledge representation learning . acm multimedia 2020: 3956-3965<o:p></o:p> <![if !supportlists]>116.<![endif]>chengpeng fu, jinqiang wang, jitao sang, jian yu, changsheng xu, beyond literal visual modeling: understanding image metaphor based on literal-implied concept mapping . mmm (1) 2020: 111-123<o:p></o:p> <![if !supportlists]>117.<![endif]>chengcheng ma, weiliang meng, baoyuan wu, shibiao xu and xiaopeng zhang. efficient joint gradient based atack against sor defense for 3d point cloud classification. proceedings of the 28th acm international conference on multimedia (mm 20). seattle,wa,usa. acm 2020: 1819-1827.<o:p></o:p> <![if !supportlists]>118.<![endif]>yanyuan qiao, zheng yu, jing liu: rankvqa: answer re-ranking for visual question answering. icme 2020: 1-6<o:p></o:p> <![if !supportlists]>119.<![endif]>lei shi, yifan zhang, wanguo wang, jian cheng, hanqing lu: rethinking the pid optimizer for stochastic optimization of deep networks. icme 2020: 1-6<o:p></o:p> <![if !supportlists]>120.<![endif]>linyu zheng, ming tang, yingying chen, jinqiao wang, hanqing lu: high-speed and accurate scale estimation for visual tracking with gaussian process regression. icme 2020: 1-6<o:p></o:p> <![if !supportlists]>121.<![endif]>fei liu, jing liu, xinxin zhu, richang hong, hanqing lu: dual hierarchical temporal convolutional network with qa-aware dynamic normalization for video story question answering. acm multimedia 2020: 4253-4261<o:p></o:p> <![if !supportlists]>122.<![endif]>fei zhao, ting zhang, chao ma, ming tang, jinqiao wang, xiaobo wang: siamese attentive graph tracking. acm multimedia 2020: 1542-1550<o:p></o:p> <![if !supportlists]>123.<![endif]>xiaoqing liang, xu zhao, chaoyang zhao, nanfei jiang, ming tang, jinqiao wang: task decoupled knowledge distillation for lightweight face detectors. acm multimedia 2020: 2184-2192<o:p></o:p> <![if !supportlists]>124.<![endif]>longteng guo, jing liu, xinxin zhu, xingjian he, jie jiang, hanqing lu: non-autoregressive image captioning with counterfactuals-critical multi-agent learning. ijcai 2020: 767-773<o:p></o:p> <![if !supportlists]>125.<![endif]>kai niu, yan huang, liang wang, textual dependency embedding for person search by language, proc. acm multimedia conference, pp. 4032-4040, october 2020, seattle, usa.<o:p></o:p> <![if !supportlists]>126.<![endif]>yifan song, zhang zhang, caifeng shan, liang wang, stronger, faster and more explainable: a graph convolutional baseline for skeleton-based action recognition, proc. acm multimedia conference, pp. 1625 1633, october 2020, seattle, usa.<o:p></o:p> <![if !supportlists]>127.<![endif]>peipei li, yinglu liu, hailin shi, xiang wu, yibo hu, ran he, zhenan sun, dual-structure disentangling variational generation for data-limited face parsing, proc. acm multimedia conference, pp. 556-564, october 2020, seattle, usa.<o:p></o:p> <![if !supportlists]>128.<![endif]>boqiang xu, lingxiao he, xingyu liao, wu liu, zhenan sun, tao mei, black re-id, a head-shoulder descriptor for the challenging problem of person re-identification, proc. acm multimedia conference, pp. 673-681, october 2020, seattle, usa.<o:p></o:p> <o:p> </o:p> <a name="_toc66800758"></a><a name="_toc24098159"></a><a name="_toc532562246"></a><a name="_toc532391215">�va�</a>/ɖ��ytnr�g<a name="_toc24465908"></a><a name="_toc24361016"></a><a name="_toc532562416"></a>image/video processing and analysis<o:p></o:p> <![if !supportlists]>129.<![endif]>yingying zhang, junyu gao, xiaoshan yang, chang liu, yan li, changsheng xu, find objects and focus on highlights: mining object semantics for video highlight detection via graph neural networks, aaai, pp. 12902-12909, new york, ny, usa, february 7-12, 2020<o:p></o:p> <![if !supportlists]>130.<![endif]>feifei zhang, mingliang xu, qirong mao, changsheng xu, joint attribute manipulation and modality alignment learning for composing text and image to image retrieval . acm multimedia 2020: 3367-3376<o:p></o:p> <![if !supportlists]>131.<![endif]>jie jiang, jing liu, jun fu, xinxin zhu, hanqing lu�point set attention network for semantic segmentation. icip 2020: 2186-2190<o:p></o:p> <o:p> </o:p> <a name="_toc66800759"></a><a name="_toc24098160"></a><a name="_toc532562247"></a><a name="_toc532391216">;sf[�va�r�g</a><a name="_toc24465909"></a><a name="_toc24361017"></a><a name="_toc532562417"></a>medical image analysis<o:p></o:p> <![if !supportlists]>132.<![endif]>shuang qiu, shengpei wang, weibo yi, chuncheng zhang, huiguang he, changes of resting-state eeg microstates induced by low-frequency repetitive transcranial magnetic stimulation, ieee engineering in medicine and biology society , 2020.<o:p></o:p> <![if !supportlists]>133.<![endif]>chuncheng zhang,shuang qiu,shengpei wang,wei wei,huiguang he, temporal dynamics on decoding target stimuli in rapid serial visual presentation using magnetoencephalography, ieee engineering in medicine and biology society ,2020.<o:p></o:p> <![if !supportlists]>134.<![endif]>yuanhao guo, fons j. verbeek, ge yang, probabilistic inference for camera calibration in light microscopy under circular motion, proc. ieee international symposium on biomedical imaging (isbi), pp. 149-153, 2020.<o:p></o:p> <![if !supportlists]>135.<![endif]>d. yao, j. sui, e. yang, pt. yap, d. shen, and m. liu. temporal-adaptive graph convolutional network for automated identification of major depressive disorder using resting-state fmri. international workshop on machine learning in medical imaging, pp. 1-10, 2020.<o:p></o:p> <![if !supportlists]>136.<![endif]>shuang gao, vince d. calhoun, and jing sui, multi-modal component subspace-similarity-based multi-kernel svm for schizophrenia classification, in medical imaging 2020: computer-aided diagnosis, vol. 11314, proceedings of spie, h. k. hahn and m. a. mazurowski eds., 2020.<o:p></o:p> <o:p> </o:p> <a name="_toc66800760">uir�va�r�g</a>biology image analysis<o:p></o:p> <![if !supportlists]>137.<![endif]>yanan lv, xichen, chang shu, hua han. robust global optimized affine registration method for microscopic images of biological tissue, ieee international conference on acoustics, speech and signal processing (icassp2020). 1070-1074, barcelona, spain, may 4-8 2020.<o:p></o:p> <o:p> </o:p> <a name="_toc66800761"></a><a name="_toc24098161"></a><a name="_toc532562248"></a><a name="_toc532391217">��b/g</a><a name="_toc24465910"></a><a name="_toc24361018"></a><a name="_toc532562418"></a>speech and language technology<o:p></o:p> <![if !supportlists]>138.<![endif]>haoran li, junnan zhu, jiajun zhang, chengqing zong and xiaodong he. keywords-guided abstractive sentence summarization. the thirty-fourth aaai conference on artificial intelligence (aaai), new york, usa, feb. 7-12, 2020, pp. 8196-8203<o:p></o:p> <![if !supportlists]>139.<![endif]>yuchen liu, jiajun zhang, hao xiong, long zhou, zhongjun he, hua wu, haifeng wang and chengqing zong. synchronous speech recognition and speech-to-text translation with interactive decoding. the thirty-fourth aaai conference on artificial intelligence (aaai), new york, usa, feb. 7-12, 2020, pp. 8417-8424<o:p></o:p> <![if !supportlists]>140.<![endif]>shaonan wang, jiajun zhang, nan lin and chengqing zong. probing brain activation patterns by dissociating semantics and syntax in sentences. the thirty-fourth aaai conference on artificial intelligence (aaai), new york, usa, feb. 7-12, 2020, pp. 9201-9208<o:p></o:p> <![if !supportlists]>141.<![endif]>junnan zhu, yu zhou, jiajun zhang, haoran li, chengqing zong and changliang li. multimodal summarization with guidance of multimodal reference. the thirty-fourth aaai conference on artificial intelligence (aaai), new york, usa, feb. 7-12, 2020, pp. 9749-9756<o:p></o:p> <![if !supportlists]>142.<![endif]>yang zhao, jiajun zhang, yu zhou and chengqing zong. knowledge graphs enhanced neural machine translation. the 29th international joint conference on artificial intelligence and the 17th pacific rim international conference on artificial intelligence (ijcai-pricai 2020), yokohama, japan, july 11-17, 2020, pp. 4039-4045<o:p></o:p> <![if !supportlists]>143.<![endif]>junnan zhu, yu zhou, jiajun zhang, and chengqing zong. attend, translate and summarize: an efficient method for neural cross-lingual summarization. in proceedings of the 58th annual meeting of the association for computational linguistics (acl), online, july 5-july 10, 2020, pp. 1309-1321.<o:p></o:p> <![if !supportlists]>144.<![endif]>xiaomian kang, yang zhao, jiajun zhang and chengqing zong. dynamic context selection for document-level neural machine translation via reinforcement learning. in proceedings of the 2020 conference on empirical methods in natural language processing (emnlp), november 16th 20th, 2020, pp. 2242-2254<o:p></o:p> <![if !supportlists]>145.<![endif]>jinghui yan, yining wang, lu xiang, yu zhou and chengqing zong, a knowledge-driven generative model for multi-implication chinese medical procedure entity normalization. in proceedings of the 2020 conference on empirical methods in natural language processing (emnlp), november 16th 20th, 2020, pp. 1-11, pp. 1490-1499<o:p></o:p> <![if !supportlists]>146.<![endif]>yang zhao, lu xiang, junnan zhu, jiajun zhang, yu zhou and chengqing zong. knowledge graph enhanced neural machine translation via multi-task learning on sub-entity granularity. proceedings of 28th international conference on computational linguistics (coling 2020), barcelona, spain (online), december 8-13, 2020, pp. 4495 4505.<o:p></o:p> <![if !supportlists]>147.<![endif]>jian sun, yu zhou, chengqing zong. dual attention network for cross-lingual entity alignment. the 28th international conference on computational linguistics (coling 2020), barcelona, spain (online), december 8-13, 2020, pp. 3190-3201<o:p></o:p> <![if !supportlists]>148.<![endif]>jingyuan sun, shaonan wang, jiajun zhang, and chengqing zong. distill and replay for continual language learning.the 28th international conference on computational linguistics (coling 2020), online, december 8-13, 2020, pp. 3569-3579<o:p></o:p> <![if !supportlists]>149.<![endif]>qian wang, jiajun zhang, lemao liu, guoping huang and chengqing zong, touch editing: a flexible one-time interaction approach for translation. in proceedings of the 1st conference of the asia-pacific chapter of the association for computational linguistics (aacl) and the 10th international joint conference on natural language processing (ijcnlp), december 4 7, 2020, pp. 1-11<o:p></o:p> <![if !supportlists]>150.<![endif]>zhengkun tian, jiangyan yi, ye bai, jianhua tao, shuai zhang, zhengqi wen, synchronous transformers for end-to-end speech recognition, icassp 2020, 7884-7888, may 4-8,2020 barcelona, spain.<o:p></o:p> <![if !supportlists]>151.<![endif]>ruibo fu�jianhua tao�zhengqi wen�jiangyan yi�tao wang, focusing on attention: prosody transfer and adaptative optimization strategy for multi-speaker end-to-end speech synthesis, icassp 2020, 6709-6713, may 4-8,2020 barcelona, spain.<o:p></o:p> <![if !supportlists]>152.<![endif]>jian huang,jianhua tao,bin liu,zheng lian,mingyue niu, multimodal transformer fusion for continuous emotion recognition, icassp 2020, 3507-3511, may 4-8,2020 barcelona, spain.<o:p></o:p> <![if !supportlists]>153.<![endif]>donna erickson, shigeto kawahara, albert rilliard, ryoko hayashi, toshiyuki sadanobu, yongwei li, hayato daikuhara, jo�o de moraes, kerrie obert, cross cultural differences in arousal and valence perceptions of voice quality, 10th international conference on speech prosody, pp.720-724, tokyo, japan, 2020.<o:p></o:p> <![if !supportlists]>154.<![endif]>feihu che�dawei zhang, jianhua tao, mingyue niu,bocheng zhao, parame: regarding neural network parameters as relation embeddings for knowledge graph completion, aaai-2020, 2774-2781, new york, usa, 2020.<o:p></o:p> <![if !supportlists]>155.<![endif]>licai sun, zheng lian, bin liu,jianhua tao,mingyue niu, multi-modal continuous dimensional emotion recognition, 1st international multimodal sentiment analysis in real-life media challenge and workshop (muse2020), 27-34, october 12 16, 2020, seattle, usa.<o:p></o:p> <![if !supportlists]>156.<![endif]>cunhang fan, jianhua tao, bin liu, jiangyan yi and zhengqi wen, gated recurrent fusion of spatial and spectral features for multi-channel speech separation with deep embedding representations, interspeech 2020, pp. 3321-3325, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>157.<![endif]>cunhang fan, jianhua tao, bin liu, jiangyan yi and zhengqi wen, joint training for simultaneous speech denoising and dereverberation with deep embedding representations, interspeech 2020, pp. 4536-4540, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>158.<![endif]>ye bai, jiangyan yi, jianhua tao, zhengkun tian, zhengqi wen, shuai zhang, listen attentively, and spell once: whole sentence generation via a non-autoregressive architecture for low-latency speech recognition. proc. interspeech 2020, 3381-3385, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>159.<![endif]>yongwei li, jianhua tao, bin liu, donna erickson, masato akagi, comparison of glottal source parameter values in emotional vowels, interspeech, pp. 4103-4107, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>160.<![endif]>zhengkun tian, jiangyan yi, jianhua tao, ye bai, shuai zhang, zhengqi wen, spike-triggered non-autoregressive transformer for end-to-end speech recognition, interspeech 2020, 4395-4399, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>161.<![endif]>ruibo fu, jianhua tao, zhengqi wen , jiangyan yi, chunyu qiang, tao wang, dynamic soft windowing and language dependent style token for code-switching end-to-end speech synthesis, interspeech 2020, 2937-2941, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>162.<![endif]>jiangyan yi, jianhua tao, zhengkun tian, ye bai, cunhang fan, focal loss for punctuation prediction, interspeech 2020, 721-725, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>163.<![endif]>tao wang, jianhua tao, ruibo fu, jiangyan yi, zhengqi wen, spoken content and voice factorization for few-shot speaker adaptation, interspeech 2020, 796-800, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>164.<![endif]>tao wang, xuefei liu, jianhua tao, jiangyan yi, ruibo fu, zhengqi wen, non-autoregressive end-to-end tts with coarse-to-fine decoding, interspeech 2020, 3984-3988, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>165.<![endif]>tao wang, jianhua tao, ruibo fu, jiangyan yi, zhengqi wen, chunyu qiang, bi-level speaker supervision for one-shot speech synthesis, interspeech 2020, 3989-3993, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>166.<![endif]>jian huang,jianhua tao,bin liu,zheng lian, learning utterance-level representations with label smoothing for speech, interspeech 2020, 4079-4083, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>167.<![endif]>zheng lian, jianhua tao, bin liu, jian huang, zhanlei yang, rongjun li, context-dependent domain adversarial neural network for multimodal emotion recognition, interspeech 2020, 394-398, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>168.<![endif]>zheng lian, jianhua tao, bin liu, jian huang, zhanlei yang, rongjun li, conversational emotion recognition using self-attention mechanisms and graph neural networks, interspeech 2020, 2347-2351, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>169.<![endif]>zheng lian, zhengqi wen, xinyong zhou , songbai pu , shengkai zhang�jianhua tao, arvc: an auto-regressive voice conversion system without parallel training data, interspeech 2020, 4706-4710, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>170.<![endif]>ziping zhao , qifei li , nicholas cummins, bin liu,� haishuai wang, jianhua tao, bj�orn w. schuller, hybrid network feature extraction for depression assessment from speech, interspeech 2020, 4956-4960, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>171.<![endif]>ruibo fu, jianhua tao, zhengqi wen , jiangyan yi, tao wang, chunyu qiang, dynamic speaker representations adjustment and decoder factorization for speaker adaptation in end-to-end speech synthesis, interspeech 2020, 4701-4705, shanghai, china, 2020.<o:p></o:p> <![if !supportlists]>172.<![endif]>guanjun li, shan liang, shuai nie, wenju liu, zhanlei yang, longshuai xiao. deep neural network-based generalized sidelobe canceller for robust multi-channel speech recognition. interspeech 2020, shang hai, china, october. 25-october. 29, 2020, pp.51-55.<o:p></o:p> <![if !supportlists]>173.<![endif]>guanjun li, shan liang, shuai nie, wenju liu, zhanlei yang, longshuai xiao. microphone array post-filter for target speech enhancementwithout a prior information of point interferers. interspeech 2020, shang hai, china, october 25-october. 29, 2020, pp. 3306-3310.<o:p></o:p> <o:p> </o:p> <a name="_toc66800762"></a><a name="_toc24098162"></a><a name="_toc532562249"></a><a name="_toc532391218">�v�qo��</a><a name="_toc24465911"></a><a name="_toc24361019"></a><a name="_toc532562419"></a>national conferences<o:p></o:p> <![if !supportlists]>1.        <![endif]>ke tian and jiajun zhang. quality estimation for machine translation with multi-granularity interaction. the 16th china conference on machine translation. springer, singapore, october 11, 2020, pp. 1-11<o:p></o:p> <![if !supportlists]>2.        <![endif]>xinyu zuo, yubo chen, kang liu and jun zhao, towards causal explanation detection with pyramid salient-aware network the 19th china national conference on computational linguistics (ccl 2020), 904-915, online,10.30-11.1,2020<o:p></o:p> <![if !supportlists]>3.        <![endif]>pengfei cao, yubo chen, kang liu, jun zhao,chinese named entity recognition via adaptive multi-pass memory network with hierarchical tagging mechanism,the 19th china national conference on computational linguistics (ccl 2020),144-158,online,10.30-11.1,2020<o:p></o:p> <![if !supportlists]>4.        <![endif]>zhucong li, baoli zhang, yubo chen, kang liu, jun zhao and shengping liu,multi-specialty domain adaptation for chinese medical named entity recognition�� china conference on knowledge graph and semantic computing(ccks 2020 �,nanchang,11.12-11.15,2020<o:p></o:p> <![if !supportlists]>5.        <![endif]>�u\b��[:c�uon�g�r�^�u��q�rgss^,�w�n�r`�wƌ ��b�v��~!j�w, hq�v�wƌ�v1�n�in��{'yo(ccks 2020 �,-n�vwsf,11.12-11.15,2020<o:p></o:p> <![if !supportlists]>6.        <![endif]>hang yang, yubo chen, kang liu, and jun zhao�� ,meta learning for event argument extraction via domain-specific information enhanced,china conference on knowledge graph and semantic computing(ccks 2020 �, nanchang,11.12-11.15,2020<o:p></o:p> <![if !supportlists]>7.        <![endif]>�[:c��u\b�uon�g�r�^�u��q�rgss^,�w�n�r`͋n��c�v�sp[9sm��~!j�w,hq�v�wƌ�v1�n�in��{'yo(ccks 2020 �,-n�vwsf,11.12-11.15,2020<o:p></o:p> <![if !supportlists]>8.        <![endif]>�s^ey�uon�g�r�^�yock�m�ؚ�vey�퐛q�q,��t�n�[�e,g�v�wƌ�^�t{�e�lxvz,hq�v�wƌ�v1�n�in��{'yo(ccks 2020 �,-n�vwsf,11.12-11.15,2020<o:p></o:p> <![if !supportlists]>9.        <![endif]>yinyu lan, shizhu he, kang liu, jun zhao, xiangrong zeng, shengping liu,path-based knowledge reasoning with textual semantic information for medical knowledge graph completion,the china conference on health information processing (chip 2020)�� ,luzhou(online �,11.28-11.29,2020<o:p></o:p> <![if !supportlists]>10.    <![endif]>cheng yan,yuanzhe zhang,kang liu,jun zhao,yafei shi,shengping liu,enhancing unsupervised medical entity linking with multi-instance learning,the china conference on health information processing (chip 2020),luzhou(online �,11.28-11.29,2020<o:p></o:p> <![if !supportlists]>11.    <![endif]>jianhua yang, yan huang, linjiang huang, yunbo wang, zhanyu ma, liang wang, global context enhanced multi-modal fusion for referring image segmentation, proc. chinese conference on pattern recognition and computer vision, pp. 434-446, october 2020, nanjing, china.<o:p></o:p> <o:p> </o:p> <a name="_toc66800763"></a><a name="_toc24098163"></a><a name="_toc532562250"></a><a name="_toc532391219">_>e��[�^�sh��e</a><a name="_toc24465912"></a>publications of external projects<o:p></o:p> <o:p> </o:p> <a name="_toc66800764"></a><a name="_toc24098164"></a><a name="_toc532562251"></a><a name="_toc532391220">�ve� rir</a><a name="_toc24465913"></a><a name="_toc24361021"></a><a name="_toc532562421"></a>international journals<o:p></o:p> <![if !supportlists]>1.        <![endif]>shiming ge, chunhui zhang, shikun li, dan zeng, and dacheng tao. cascaded correlation refinement for robust deep tracking. ieee transactions on neural networks and learning systems (tnnls), 2020, 1-13.<o:p></o:p> <![if !supportlists]>2.        <![endif]>shiming ge, chenyu li, shengwei zhao, and dan zeng. occluded face recognition in the wild by identity-diversity inpainting. ieee transactions on circuits and systems for video technology (tcsvt), 2020, 3387-3397. <o:p></o:p> <![if !supportlists]>3.        <![endif]>congqi cao, jiakang li, runping xi and yanningzhang, club ideas and exertions: aggregating local predictions for action recognition, in ieee transactions on circuits and systems for video technology, 2020. doi: 10.1109/tcsvt.2020.3017203.<o:p></o:p> <![if !supportlists]>4.        <![endif]>qian sun, qiaojun li, lei chen, jianning quan, lvjie li, pattern recognition based on pulse scanning imaging and convolutional neural network for vibrational events in �-otdr, optik, vol. 219, no. june, pp. 165205, 2020.<o:p></o:p> <![if !supportlists]>5.        <![endif]>chen shanxiong, han xu, gao weizhe, liu xuxin, mo bofeng, a classification method of oracle materials based on local convolutional neural network framework, ieee computer graphics and applications, vol. 40, no.3, pp. 32-44, 2020. <o:p></o:p> <![if !supportlists]>6.        <![endif]>shiyu zhu, chen shanxiong, xihua peng, hailing xiong, a signal reconstruction method of wireless sensor network based on compressed sensing, eurasip journal on wireless communications and networking, vol. 4, no 1, pp. 1-27, 2020. (sci)<o:p></o:p> <![if !supportlists]>7.        <![endif]>wen-ze shao*, yuan-yuan liu, lu-yue ye, li-qian wang, qi ge, bing-kun bao, hai-bo li. deblurgan : revisiting blind motion deblurring using conditional adversarial networks[j]. signal processing, 2020, 168: 107338. (sci)<o:p></o:p> <![if !supportlists]>8.        <![endif]>xiang-jun shen*, si-xing liu, bing-kun bao, chunhong pan, zheng-jun zha, jianping fan. a generalized least-squares approach regularized with graph embedding for dimensionality reduction[j]. pattern recognition, 2020, 98: 107023. (sci)<o:p></o:p> <![if !supportlists]>9.        <![endif]>xi shao, xuan zhang, guijin tang, bingkun bao*. scene recognition based on recurrent memorized attention network[j]. electronics, 2020, 9(12): 2038. (sci)<o:p></o:p> <![if !supportlists]>10.    <![endif]>x. liao*, k. li, x. zhu, k. j. ray liu. robust detection of image operator chain with two-stream convolutional neural network[j]. ieee journal of selected topics in signal processing, 14(5): 955-968, 2020. [�o�syt��wtopg r, -n�yb�n:s]<o:p></o:p> <![if !supportlists]>11.    <![endif]>x. liao*, j. yin, m. chen, z. qin. adaptive payload distribution in multiple images steganography based on image texture features[j]. ieee transactions on dependable and secure computing, doi: 10.1109/tdsc.2020.3004708, 2020. [�oo`�[hq��wtopg r, ccf�cp�a{|g r]<o:p></o:p> <![if !supportlists]>12.    <![endif]>x. liao*, y. yu, b. li, z. li, z. qin. a new payload partition strategy in color image steganography[j]. ieee transactions on circuits and systems for video technology, 30(3): 685-696, 2020. [y�zso��wcgzg r, eq �esiؚ��_�p�p��e]<o:p></o:p> <![if !supportlists]>13.    <![endif]>j. yang, x. liao*. an embedding strategy on fusing multiple image features for data hiding in multiple images[j]. journal of visual communication and image representation, 71: 102822-102827, 2020. [sci, if: 2.479]<o:p></o:p> <![if !supportlists]>14.    <![endif]>l. peng, x. liao*, m. chen. resampling parameter estimation via dual-filtering based convolutional neural network[j]. multimedia systems, doi: 10.1007/s00530-020-00697-y, 2020. [sci, if: 1.563]<o:p></o:p> <![if !supportlists]>15.    <![endif]>xiaoke hao, yongjin bao, yingchun guo, ming yu, daoqiang zhang, shannon l. risacher, andrew j. saykin, xiaohui yao, li shen, and for the alzheimer s disease neuroimaging initiative, multi-modal neuroimaging feature selection with consistent metric constraint for diagnosis of alzheimer's disease, medical image analysis, vol. 60, no. 101625, pp. 1-13, 2020.<o:p></o:p> <![if !supportlists]>16.    <![endif]>baiying lei, yujia zhao, zhongwei huang, xiaoke hao, feng zhoud, ahmed elazaba, jing qin, haijun lei, adaptive sparse learning using multi-template for neurodegenerative disease diagnosis, medical image analysis, vol. 61, no. 101632, pp. 1-13, 2020.<o:p></o:p> <![if !supportlists]>17.    <![endif]>aihua zheng, hongchao li, bo jiang, wei-shi zheng, bin luo. joint graph regularized dictionary learning and sparse ranking for multi-modal multi-shot person re-identification. pattern recognition, vol.104, 2020: 107352. (sci �n:s)<o:p></o:p> <![if !supportlists]>18.    <![endif]>aihua zheng, xianmin lin, jiacheng dong, wenzhong wang, jin tang, bin luo.multi-scale attention vehicle re-identification. neural computing and applications, vol.32, pp. 17489-17503, 2020. (sci �n:s)<o:p></o:p> <![if !supportlists]>19.    <![endif]>aihua zheng, naipeng ye, chenglong li*, xiaowang, jin tang. multi-modal foreground detection via inter- and intra-modality-consistent low-rank separation. neurocomputing, vol.371, pp. 27-38, 2020. (sci �n:s)<o:p></o:p> <![if !supportlists]>20.    <![endif]>cairong zhao, xinbi lv, zhang zhang, wangmeng zuo, jun wu and duoqian miao, deep fusion feature representation learning with hard mining center-triplet loss for person re-identification, ieee transactions on multimedia, 2020<o:p></o:p> <![if !supportlists]>21.    <![endif]>zhenbing zhao, hongyu qi, yincheng qi, ke zhang, yongjie zhai, wenqing zhao. detection method based on automatic visual shape clustering for pin-missing defect in transmission lines[j]. ieee transactions on instrumentation and measurement, 2020, 69(9): 6080-6091. (sci 2:s: 000559518800016)<o:p></o:p> <![if !supportlists]>22.    <![endif]>zhenbing zhao, hongyu qi, xiaoqing fan, guozhi xu, yincheng qi, yongjie zhai, ke zhang. image representation method based on relative layer entropy for insulator recognition[j]. entropy, 2020, 22, 419; doi:10.3390/e22040419. (sci 3:s: 000537222600005)<o:p></o:p> <![if !supportlists]>23.    <![endif]>yun-peng xiao, yu-kun lai, fang-lue zhang, chunpeng li, lin gao. a survey on deep geometry learning: from a representation perspective. computational visual media, 2020, 6(2): 113-133.<o:p></o:p> <![if !supportlists]>24.    <![endif]>shuang liu, linlin duan, zhong zhang*, xiaozhong cao, tariq s. durrani, multimodal ground-based remote sensing cloud classification via learning heterogeneous deep features, ieee transactions on geoscience and remote sensing, vol. 58, no. 11, pp. 7790-7800, nov. 2020<o:p></o:p> <![if !supportlists]>25.    <![endif]>shuang liu, mei li, zhong zhang*, xiaozhong cao, tariq s. durrani, ground-based cloud classification using task-based graph convolutional network, geophysical research letters, 47(5), e2020gl087338, 2020;<o:p></o:p> <![if !supportlists]>26.    <![endif]>shuang liu, mei li, zhong zhang*, baihua xiao, tariq s. durrani, multi-evidence and multi-modal fusion network for ground-based cloud recognition, remote sensing. 2020, 12(3), 464;<o:p></o:p> <![if !supportlists]>27.    <![endif]>shuang liu, xiaolong hao, ronghua zhang, zhong zhang*, tariq s. durrani, adversarial erasing attention for person re-identification in camera networks under complex environments, ieee access, vol. 8, no. 1, pp. 56469-56479, 2020;<o:p></o:p> <![if !supportlists]>28.    <![endif]>tian q, sun h, ma c, et al. age estimation via selecting discriminated features and preserving geometry. ksii transactions on internet and information systems, 2020, 14(4): 1721-1737.<o:p></o:p> <![if !supportlists]>29.    <![endif]>tian q, zhang w, cao m, et al. moment-guided discriminative manifold correlation learning on ordinal data. acm transactions on intelligent systems and technology, 2020, 11(5): 1-18.<o:p></o:p> <![if !supportlists]>30.    <![endif]>xiang gao, jiazheng luo, kunqian li, zexiao xie, hierarchical ransac-based rotation averaging, ieee signal processing letters, vol. 27, pp. 1874-1878, 2020.<o:p></o:p> <![if !supportlists]>31.    <![endif]>qinqin zhou, bineng zhong*, xiangyuan lan, gan sun, yulun zhang, baochang zhang, rongrong ji. fine-grained spatial alignment model for person re-identification with focal triplet loss. ieee transactions on image processing, vol.29, no.6, pp.7578-7589, 2020.<o:p></o:p> <a name="_toc66800765"></a><a name="_toc24098165"></a><a name="_toc532562252"></a><a name="_toc532391221">�v�q rir</a><a name="_toc24465914"></a><a name="_toc24361022"></a><a name="_toc532562422"></a>national journals<o:p></o:p> <![if !supportlists]>1.        <![endif]>0uvt3t, h��uė, u��[so, �g\n, �qwmup, kb�qsohrb�r�g�tyθ, ��{:g��r��n�vb_f[f[�b, 32(7):1111-1200, 2020. (ei)<o:p></o:p> <![if !supportlists]>2.        <![endif]>h��uė, 1gn�[, u��[so, �s�[�e, r�n, �qwmup, n�y�s$r rhvub�[�bq�~�v�s]_�e�o y�e�l, ꁨrsf[�b, 2020. (ei)<o:p></o:p> <![if !supportlists]>3.        <![endif]>h��uė, ��e, �g\n, r�n, �sf5�, �w�nmser�tcnn�v]_�e�sm|�e.s�vw[&{�hkm�e�l, nswst�]'yf[f[�b, 48 (6): 123-133, 2020. (ei)<o:p></o:p> <![if !supportlists]>4.        <![endif]>�l�q, �^k�*, �y�b, r�~]. �w�nws�y^y�~q�~�vnol]eq�szz�w��qr�g�e�l[j]. o��nf[�b, doi: 10.13328/j.cnki.jos.005980, 2020. [ccf�cp��v�qg r�c t,{1]<o:p></o:p> <![if !supportlists]>5.        <![endif]>zhao k, ding y, han y, fan y, alexander-bloch af, han t, jin d, liu b, lu j, song c, wang p, wang d, wang q, xu k, yang h, yao h, zheng y, yu c, zhou b, zhang x, zhou y, jiang t, zhang x, liu y. 2020. independent and reproducible hippocampal radiomic biomarkers for multisite alzheimer s disease: diagnosis, longitudinal progress and biological basis. science bulletin. 65:1103-1113.<o:p></o:p> <![if !supportlists]>6.        <![endif]>ѐ1rns, �f\:_, _l�l, ğ�\, dlۏ. �w�n@\�_(�ost�s�q�~�v�!j`l��n͑ƌ r.!j_ƌ rn�n�]zf��, 2020, 33(10): 867-878. (ei��v�qcgzg r)<o:p></o:p> <![if !supportlists]>7.        <![endif]>u�/cuq��8lpg� _�s�t[�o�u��en�b��w�b�. 5u�rɖɉ�b/g[m]. -n�v5u�r�qhr>y�2020.<o:p></o:p> <![if !supportlists]>8.        <![endif]>u�/cuq�_l1r��b��w� _��u��en. l]eqn�!csq�|!jww�vssd!j�w�v��5u�~��v�pёwq�hkm[j]. zf��|�~f[�b�2020, 15(4): 656-662. (n�~f[�b)<o:p></o:p> <![if !supportlists]>9.        <![endif]>u�/cuq�ng�^�e�u�s��8lpg� _�s�u��en. �~tklce�^�tb_�r�~_g�vfaster r-cnnxq�wёwq�hkm�e�l[j]. ؚ5u�s�b/g, 2020, 46(9): 3018-3026. (ei: 20204409425713)<o:p></o:p> <![if !supportlists]>10.    <![endif]>u�/cuq�ng�^�e�b��w�t[�o�b�. �w�n�r`&q�p_c1y�qpe�t7h,gs^a��e�l�v�~p[:w��hkm�e�l[j]. 5u�rꁨrs��y�2020, 40(10): 205-211. (ei: 20204509448008)<o:p></o:p> <![if !supportlists]>11.    <![endif]>u�/cuq, _��, �8lpg, i{. 5u�rɖɉ�b/g�v�i�_0xvz�s�rnu\g[j]. 5u�r�yf[n�]z, 2020, 36(01): 1-8.<o:p></o:p> <a name="_toc66800766"></a><a name="_toc24098166"></a><a name="_toc532562253"></a><a name="_toc532391222">�ve�o��</a><a name="_toc24465915"></a><a name="_toc24361023"></a><a name="_toc532562423"></a>international conferences<o:p></o:p> <![if !supportlists]>1.      <![endif]>tianzhe wang, zetian jiang, junchi yan ��\o�, clustering-aware multiple graph matching via decayed pairwise matching composition, aaai 2020.<o:p></o:p> <![if !supportlists]>2.      <![endif]>shiming ge, kangkai zhang, haolin liu, et al. look one and more: distilling hybrid order relational knowledge for cross-resolution image recognition. in aaai conference on artificial intelligence (aaai) , 2020: 10845-10852.<o:p></o:p> <![if !supportlists]>3.      <![endif]>ke cheng, yifan zhang, congqi cao, lei shi, jian cheng, and hanqing lu, decoupling gcn with dropgraph module for skeleton-based action recognition, in european conference on computer vision(eccv), 2020.<o:p></o:p> <![if !supportlists]>4.      <![endif]>xu han, shanxiong chen, shiyu zhu, xiaoyu lin, fujia zhao, dingwang wang, a character detection method for ancient yi books based on connected components and regressive character segmentation, international conference on automated planning and scheduling 2020, 2020�13(11)�55-68. <o:p></o:p> <![if !supportlists]>5.      <![endif]>yaolin tian, shanxiong chen, fujia zhao, xiaoyu lin, hailing xiong, the layout analysis of handwriting characters and the fusion of multi-style ancient books background, international conference on automated planning and scheduling 2020, 2020�13(11)�111-123.<o:p></o:p> <![if !supportlists]>6.      <![endif]>gehan hao, yang yang, xue zhou*, guanan wang, and zhen lei, horizontal flipping assisted disentangled feature learning for semi-supervised person re-identification, accepted to asia conference on computer vision (accv),2020.<o:p></o:p> <![if !supportlists]>7.      <![endif]>kexin chen, xue zhou*, chao liang and jianxiao zou, bidirectional consistency constrained template update learning for siamese trackers, accepted to ieee international conference on visual communications and image processing(vcip),2020.<o:p></o:p> <![if !supportlists]>8.      <![endif]>x. liao*, z. huang. a framework for parameters estimation of image operator chain[c]. ieee international conference on acoustics, speech and signal processing (icassp), 2787-2791, 2020. [�o�syt�s�^(u�eb�gwqq_�t�r�v�ve��e0�o��, ccf�cp�b{|o��]<o:p></o:p> <![if !supportlists]>9.      <![endif]>j. lin and l. dai, x-net for single image raindrop removal, in 2020 ieee international conference on image processing (icip), abu dhabi, united arab emirates, oct. 2020, pp. 1003 1007, doi: 10/ghmtnz.<o:p></o:p> <![if !supportlists]>10.  <![endif]>hongchao li, chenglong li, xianpeng zhu, aihua zheng*, bin luo. multi-spectral vehicle re-identification: a challenge: the thirty-fourth aaai conference on artificial intelligence(aaai) (2020), pp: 11345-11353, 2020, new york, usa. (ccf�cp�a{|�ve�o��)<o:p></o:p> <![if !supportlists]>11.  <![endif]>hao zhu, huaibo huang, yi li, aihua zheng and ran he*. arbitrary talking face generation via attentional audio-visual coherence learning: international joint conference on artificial intelligence (ijcai) (2020), pp:2362-2368, 2020, yokohama, japan. (ccf�cp�a{|�ve�o��)<o:p></o:p> <![if !supportlists]>12.  <![endif]>xianmin lin, shengwang peng, zhiqi ma, xiaoyi zhou and aihua zheng*. occlusion based discriminative feature mining for vehicle re-identification: international conference of pioneering computer scientists, engineers and educators. (icpcsee) (2020), pp: 246-257, 2020, springer, singapore. (ei)<o:p></o:p> <![if !supportlists]>13.  <![endif]>shu-yu chen, wanchao su, lin gao, shihong xia, hongbo fu. deepfacedrawing: deep generation of face images from sketches. acm transactions on graphics (siggraph 2020), 2020, 39(4), 72:1-72:16.<o:p></o:p> <![if !supportlists]>14.  <![endif]>zedu chen, bineng zhong*, guorong li, shengping zhang, rongrong ji. siamese box adaptive network for visual tracking. 2020 ieee international conference on computer vision and pattern recognition, (cvpr) (2020), pp:6668:6677, 2020, seattle washington, usa<o:p></o:p> <![if !supportlists]>15.  <![endif]>zhihui wang, bing bai, yujun xie, tengfei xing, bineng zhong"(��\o�), qinqin zhou, yiping meng, bin xu, zhichao song, pengfei xu, runbo hu, hua chai. robust and fast vehicle turn-counts at intersections via an integrated solution from detection, tracking and trajectory modeling. ai city challenge�cvpr 2020 workshop.<o:p></o:p> <![if !supportlists]>16.  <![endif]>guibiao liao, wei gao*, qiuping jiang, ronggang wang, ge li, mmnet: multi-stage and multi-scale fusion network for rgb-d salient object detection , acm international conference on multimedia, seattle, wa, usa, 2020. (*corresponding author) <o:p></o:p> <![if !supportlists]>17.  <![endif]>wei gao*, lvfang tao, linjie zhou, dinghao yang, xiaoyu zhang, zixuan guo, low-rate image compression with super-resolution learning, ieee/cvf conference on computer vision and pattern recognition (cvpr) workshops, seattle, wa, usa, 2020, pp. 154-155. <o:p></o:p> <![if !supportlists]>18.  <![endif]>wei gao*, on the performance evaluation of state-of-the-art rate control algorithms for practical video coding and transmission systems , international conference on video and image processing (icvip), xi an, china, dec. 25-27, 2020.<o:p></o:p> <a name="_toc66800767"></a><a name="_toc24098167"></a><a name="_toc532562254">�v�qo��</a><a name="_toc24465916"></a><a name="_toc24361024"></a><a name="_toc532562424"></a>national conferences<o:p></o:p> <![if !supportlists]>1.        <![endif]>ziyi chen, chengyang ji, qin shen, wei liu, f xiao-feng qin, aiping wu, tissue-specific deconvolution of immune cell composition by integrating bulk and single-cell transcriptomes, bioinformatics, btz672, https://doi.org/10.1093/bioinformatics/btz672 <o:p></o:p> </td> </tr> </table> </div> <o:p> </o:p> </div> </body> </html>