url: =English to Catalan Meaning/Translation of Jujitsu\nEnglish to Catalan Meaning :: jujitsu\nJujitsu - jiujitsu Jujitsu :: jiujitsu\nNoun(1) A method of self-defense without weapons that was developed in China and Japan(2) Holds and blows are supplemented by clever use of the attacker's own weight and strength\nEnglish to Catalan Dictionary: jujitsu\nMeaning and definitions of jujitsu, translation in Catalan language for jujitsu with similar and opposite words. Also find spoken pronunciation of jujitsu in Catalan and in English language.\nTags for the entry 'jujitsu'\nWhat jujitsu means in Catalan, jujitsu meaning in Catalan, jujitsu definition, examples and pronunciation of jujitsu in Catalan language.\nCentipede (centpeus) :: There were scorpions inside jars and papers were cluttered underneath them drawings of spiders centipedes and large ants Ibex (cabra salvatge) :: On the same jar a drawing of a stylized tree with two grazing ibexes probably represents the goddess Pointer (punter) :: Just as industrial America was for long the pointer to the worlds economic future so Australia was once a pointer to coming political institutions Bream (brema) :: There are herring and cod in the outer archipelago but within casting range of land the fish are mostly freshwater perch bream pike and zander Goat (cabra) :: Besides this Spanish cattle pigs sheep and goats introduced European meats and fats milk butter and cheese to the Mexican diet\nPanel (panell) :: The fire resulted from a short in an electrical panel that ignited flammable materials in the 100percentoxygen atmosphere Pants (pantalons) :: He wore all black by way of a silken shirt leather pants and combat boots Parallel (paral·lel) :: North and South Korea are working on projects to fully connect two sets of railways across the demilitarized zone that separates the Korean Peninsula at the 38th parallel Parent (pare) :: The three propagation methods above will produce a new lily plant identical to the parent


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url: =1148.HK | Xinchen China Power Holdings Ltd. Company Profile & Executives - WSJ\n3:08 PM HKST 01/22/20\n65 Day Avg Vol 1,931,975\nPrior Close 0.40 (01/21/20)\nCompany Info Xinchen China Power Holdings Ltd.\nDescription Xinchen China Power Holdings Ltd.\nKey People Xinchen China Power Holdings Ltd.\nXiao An Wu, 57 Chairman Brilliance China Automotive Holdings Ltd., Huachen Automotive Group Holdings Co. Ltd., BMW Brilliance Automotive Ltd., Xinchen China Power Holdings Ltd., Brilliance Investment Holdings Ltd., Shenyang Jinbei Automotive Industry Holdings Co., Ltd., Brilliance Bea Auto Finance Co. Ltd.\nYun Xian Wang, 64 Chief Executive Officer & Executive Director Mianyang Huarui Automobile Co. Ltd., Xinchen China Power Holdings Ltd., Xinhua Investment Holdings Ltd., Mianyang Xinchen Engine Co., Ltd.\nMing Yang, 50 Non-Executive Director Xinchen China Power Holdings Ltd., Mianyang Xinchen Engine Co., Ltd., Chengdu Pushi Vehicle Dies Co. Ltd.\nTong Fu Liu, 55 Non-Executive Director Shenyang Jinbei Automotive Co., Ltd., Xinchen China Power Holdings Ltd., Shenyang Brilliance JinBei Automobile Co., Ltd.\nGuo Hua Chi, 44 Independent Non-Executive Director Xinchen China Power Holdings Ltd., Zhejiang XinNong Chemical Co. Ltd., Jiangsu Huilong Assets Management Co. Ltd.\nJun Wang, 57 Independent Non-Executive Director Xinchen China Power Holdings Ltd.\nHai Bo Huang, 64 Independent Non-Executive Director Xinchen China Power Holdings Ltd., Sichuan Xihua Vehicle Authentication Institution\nSong Lin Wang, 68 Independent Non-Executive Director Xinchen China Power Holdings Ltd., China Automotive Engineering Research Institute Co., Ltd., Zhejiang Meili High Technology Co., Ltd., Hainan Drinda Automotive Trim Co. , Ltd., Guangzhou Automobile Industry Group Co., Ltd.\nKa Yani Ngai Secretary\nHai Bo Huang Independent Non-Executive Director\nSong Lin Wang Independent Non-Executive Director\nAverage Growth Rates Xinchen China Power Holdings Ltd.\nRevenue +1.65% Net Income -19.26% Earnings Per Share -19.25%\nCapital Spending -10.95% Gross Margin +20.08% Cash Flow -27.45%\nInsider Trading Xinchen China Power Holdings Ltd.\nOwnership Xinchen China Power Holdings Ltd.


url: =Seismic phases from the Moho and its implication on the ultraslow spreading ridge--《海洋学报(英文版)》2013年12期\nZHANG Jiazheng;ZHAO Minghui;QIU Xuelin;LI Jiabiao;RUAN Aiguo;Key Laboratory of Marginal Sea Geology of Chinese Academy of Sciences,South China Sea Institute of Oceanology,Chinese Academy of Sciences;University of Academy of Sciences;The Second Institute of Oceanography,State Oceanic Administration;\nThe Moho interface provides critical evidence for crustal thickness and the mode of oceanic crust accretion. The seismic Moho interface has not been identified yet at the magma-rich segments(46°–52°E) of the ultraslow spreading Southwestern Indian Ridge(SWIR). This paper firstly deduces the characteristics and domains of seismic phases based on a theoretical oceanic crust model. Then, topographic correction is carried out for the OBS record sections along Profile Y3Y4 using the latest OBS data acquired from the detailed 3D seismic survey at the SWIR in 2010. Seismic phases are identified and analyzed, especially for the reflected and refracted seismic phases from the Moho. A 2D crustal model is finally established using the ray tracing and travel-time simulation method. The presence of reflected seismic phases at Segment 28 shows that the crustal rocks have been separated from the mantle by cooling and the Moho interface has already formed at zero age. The 2D seismic velocity structure across the axis of Segment 28 indicates that detachment faults play a key role during the processes of asymmetric oceanic crust accretion.\n【Fund】： The National Natural Science Foundation of China under contract Nos 41176053 41076029 91028002 and 41176046;; Dayang 115 under contract No.DYXM-115-02-3-01\n1 AO Wei~(1,4), ZHAO Ming-Hui~1 , QIU Xue-Lin~1 , LI Jia-Biao~2, CHEN Yong-Shun~3,RUAN Ai-Guo~2, LI Shou-Jun~2, ZHANG Jia-Zheng~(1,4), WU Zhen-Li~2, NIU Xiong-Wei~2 1 Key Laboratory of Marginal Sea Geology , South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301, China 2 The Second Institute of Oceanography , State Oceanic Administration , Hangzhou 310012, China 3 Computational Geodynamics Laboratory , Department of Geophysics , School of Earth and Space Sciences . Peking University ,Beijing 100871, China 4 Graduate University of Chinese Academy of Sciences , Beijing 100049, China;The correction of shot and OBS position in the 3D seismic experiment of the SW Indian Ocean Ridge[J];Chinese Journal of Geophysics;2010-12\n2 QIU Xue-Lin~1,ZHAO Ming-Hui~1,AO Wei~1,LU Chuan-Chuan2,HAO Tian-Yao~2, YOU Qing-Yu~2,RUAN Ai-Guo~3,LI Jia-Biao~3 1 Key Laboratory of Marginal Sea Geology,South China Sea Institute of Oceanology,Chinese Academy of Sciences, Guangzhou 510301,China 2 Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics,Chinese Academy of Sciences, Beijing 100029,China 3 Key Laboratory of Submarine Geoscience,The Second Institute of Oceanography,State Oceanic Administration, Hangzhou 310012,China;OBS survey and crustal structure of the Southwest Sub-basin and Nansha Block,South China Sea[J];Chinese Journal of Geophysics;2011-12\n3 ZHAO Ming-hui1,QIU Xue-lin1,LI Jia-biao2,CHEN Yong-shun3,RUAN Ai-guo2,AO Wei1,4, WANG Chun-long1,LI Shou-jun2,Zhang Jia-zheng1,4,WU Zhen-li2,NIU Xiong-wei2(1.Key Laboratory of Marginal Sea Geology,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301;2.The Second Institute of Oceanography,State Oceanic Administration,Hangzhou 310012;3.Computational Geodynamics Laboratory,Department of Geophysics,School of Earth and Space Sciences,Peking University,Beijing 100871;4.Graduate Uni-versity of Chinese Academy of Sciences,Beijing 100049,China);Research development and prospect on three-dimensional seismic structures of slow and ultraslow spreading ocean ridges[J];Journal of Tropical Oceanography;2010-06\n3 HAO Tian-Yao,YOU Qing-Yu Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics, Chinese Academy of Sciences,Beijing 100029,China;Progress of homemade OBS and its application on ocean bottom structure survey[J];Chinese Journal of Geophysics;2011-12\n4 Zhi Pengyao1,2,Liu Baohua2,3,Hua Qingfeng2,3,Liu Chenguang2,3, Pei Yanliang2,3,Zheng Yanpeng2,3,Hao Tianyao4(1.College of Marine Geoscience,Ocean University of China,Qingdao 266100,China; 2.First Institute of Oceanography,State Oceamic Administration People's Repubic of China, Qingdao 266061,China;3.Key Laboratory of Marine Sedimentary and Environmental Geology, State Oceamic Administration People's Repubic of China,Qingdao 266061,China; 4.Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China);Ocean Bottom Seismometer Experiment and Its Preliminary Results in Bohai Sea[J];Advances in Earth Science;2012-07\n5 LIU Bing1,2,3,WU Shi-min1,4,LONG Gen-yuan1,2,GUO Xiang-yan1,2(1.Key Laboratory of Marginal Sea Geology,Chinese Academy of Sciences/South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou510301,China; 2.Graduate University of Chinese Academy of Sciences,Beijing100039,China; 3.Hainan Institute of Geological Survery,Haikou570206,China; 4.Department of earth sciences,Sun Yat-Sen University,Guangzhou510275 China);Basement characteristics and tectonic evolution in Qiongdongnan basin[J];Progress in Geophysics;2012-04\n6 ZHANG Li 1,3,ZHAO Ming-hui 1*,WANG Jian 1,3,HE En-yuan 1,3,AO Wei 2,QIU Xue-lin 1,XU Hui-long 1,WEI Xiao-dong 1,3,ZHANG Jia-zheng 1,3 1.CAS Key Laboratory of Marginal Sea Geology,South China Sea Institute of Oceanology,Guangzhou 510301,China 2.Dept.of Science and Technology,Shenzhen Branch of CNOOC,Guanzhou 510240,China 3.University of Chinese Academy of Science,Beijing 100049,China;Correction of OBS Position and Recent Advances of 3DSeismic Exploration in the Central Sub-Basin of South China Sea[J];Earth Science(Journal of China University of Geosciences);2013-01\n7 PAN Jun1,3,LIU Bao-hua2,HUA Qing-feng3,LIU Chen-guang3,LI Xi-shuang3,PEI Yan-liang3 (1.Ocean University of China,Qingdao 266100,China;2.National deep sea center,Qingdao 266061,China;3.First Institute of Oceanography,SOA,Qingdao 266061,China);Forward modeling based on OBS and first break recognition research[J];Progress in Geophysics;2012-06\n8 LIU Li-hua1,2,LV Chuan-chuan1,2,HAO Tian-yao1,YOU Qing-yu1,ZHENG Yan-peng3,ZHI Peng-yao3,PAN Jun3,LIU Shao-hua1 (1.Key Laboratory of Petroleum Resources Research,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China;2.University of Chinese Academy of Sciences,Beijing 100049,China;3.First Institute of Oceanography,State Oceanic Administration,Qingdao 266061, China);Data processing methods of OBS and its development tendency in detection of offshore oil and gas resources[J];Progress in Geophysics;2012-06\n9 ZHANG Jia-zheng1,2,ZHAO Ming-hui1,QIU Xue-lin1 (1.Key Laboratory of Marginal Sea Geology of Chinese Academy of Sciences,South China Sea Institute of Oceanology,Chinese Academy of Sciences,Guangzhou 510301,China;2.University of Chinese Academy of Sciences,Beijing 100049,China);Comprehensive geological and geophysical characters of hydrothermal area at Southwest Indian Ridge[J];Progress in Geophysics;2012-06\n10 LIANG Peng-fei1,2,SHI Xue-ming1*(1.Institute of Geophysics & Geomatics,China University of Geosciences,Wuhan 430074; 2.Earthquake Research Institute,the University of Tokyo,Tokyo,113-0032);An overview of exploring the Pacific Ocean mantle structure using submarine cable[J];Progress in Geophysics;2013-03\n1 Zuan Chen~a,Z.-H.Jin~(b,*),S.E.Johnson~c a Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China b Department of Mechanical Engineering,University of Maine,Orono,ME 04469,USA c Department of Earth Sciences,University of Maine,Orono,ME 04469,USA;Transient dike propagation and arrest near the level of neutral buoyancy[A];[C];2012\n2 HAO Tian-Yao,YOU Qing-Yu Key Laboratory of Peiroleum Resources Research,Institute of Geology and Geophysics, Chinese Academy of Sciences,Beijing 100029,China;Progress of homemade OBS and its application on ocean bottom structure survey[A];[C];2012\n2 WU Shimin, ZHOU Di and LIU Hailing (Key Laboratory of Marginal Sea Geology, South China Sea Institute of Oceanolo gy &Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou 510301, China);TECTONIC FRAMEWORK AND EVOLUTIONARY CHARACTERISTICS OF NANSHA BLOCK,SOUTH CHI NA SEA[J];Geotectonica Et Metallogenia;2004-01\n4 ZHAO Ming-hui1,QIU Xue-lin1,XU Hui-long1*,XIA Shao-hong1,WU Zhen-li2,LI Jia-biao2 1.CAS Key Laboratory of Marginal Sea Geology,South China Sea Institute of Oceanology,Guangzhou 510301,China 2.The Second Institute of Oceanography,State Oceanic Administration,Hangzhou 310012,China;Deep Seismic Surveys in the Southern South China Sea and Contrast on Its Conjugate Margins[J];Earth Science(Journal of China University of Geosciences);2011-05\n5 XIA Shao-hong,QIU Xue-lin,ZHAO Ming-hui,XIA Kan-yuan CAS Key Laboratory of Marginal Sea Geology,South China Sea Institute of Oceanology,Guangzhou 510301,China;Crustal Structure and Features in the Conjugate Margins of South China Sea[J];Earth Science(Journal of China University of Geosciences);2011-05\n7 Science Committee of ODPChina;CHINESE NATIONAL SCIENCE PLAN(2003-2013)FOR PARTICIPATION IN IODP[J];Advance in Earth Sciences;2003-05\n8 Wang Jiaying(Institute of Geophysics and Geomatics,China University of Geosciences,Wuhan,430074,China);Lecture on Non-linear inverse methods in geophysics (二) Monte Carlo Method[J];Chinese Journal of Engineering Geophysics;2007-02\n9 BU Wen-rui~(1,2), SHI Xue-fa~(1,2)(1.First Institute of Oceanography, SOA,Qingdao 266061, China;6061, China);Advances and Trends of Mid-ocean Ridge Geology Studies:A Review of the InterRidge Workshop 2003, Beijing[J];Advances in Marine Science;2003-04\n10 RUAN Aiguo1,QIU Xuelin2,LI Jiabiao1 and HAO Tianyao3(1.Second Institute of Oceanography,SOA,Hangzhou 310012,China;2.South China Sea Institute ofOceanography,CAS,Guangzhou 510301,China;3.Institute of Geology and Geophysics,CAS,Beijing 100101,China);Wide Aperture Seismic Sounding in the Margin Seas of China[J];South China Journal of Seismology;2009-02


url: =中纪Dozens of universities are located here, inclu乐橙体育官方平台ding the University of Science and Technology of China, one of the country's best," she said\n委老She has played a prominent role in education, business development and friendship虎处Opening up to the world has broug乐橙体育官方平台ht dramatic changes to the coastal regions, which have been more developed that the inland areas\n分通" What do you feel has been China's biggest achievement over the past five years? What's the most notable change you've observed? China has achieved much in many aspects over the last five years报中表述In 1998, when she was back in her hometown, Cho delivered a three-hour speech to 82 heads of primary schools, trying to persuade them to offer Chinese courses个新In 2010, she was listed as one of the most influential women of the century in Hefei乐橙体育官方平台精准Officials should all start from basic positions and get promotions gradually中纪Half a year later, Park returned to Hefei University and has been there ever since\n委老"In the early years, transportation between Hefei and South Korea was not convenient虎处"In the five years since the 18th CPC National Congress in 2012, China has invested more than ever before in poverty relief, and President Xi Jinping has vowed to eliminate poverty by 2020," Cho noted分通"There were even South Korean businessmen who intended to invest in Hefei but decided to invest in Shanghai and Nanjing instead, as they found the two cities to be more developed," she added\n报中表述China is a big country, so officials have to collaborate with each other well个新I don't believe the Western countries' political practices could work in China, though many of them are considered successful by the Westerners themselves精准First, China is playing an increasingly important role in the world, so some neighboring countries, and especially some developed Western countries may regard China as a challenger to the power they have maintained for many years中纪She has helped more than 3,000 students from Anhui to study in her country, and more than 1,000 were given job opportunities there


url: =Kasun M. Thambugala,1,2,3 D. Anupama Daranagama,2,3,4 Erio Camporesi,5 Chonticha Singtripop,2 Zuo-Yi Liu,1,* Kevin D. Hyde2,3\n1aGuizhou Key Laboratory of Agricultural Biotechnology, Guizhou Academy of Agricultural Sciences, Xia\n2bInstitute of Excellence in Fungal Research, Mae Fah Luang University, Chiang Rai 57100, Thailand\n3cSchool of Science, Mae Fah Luang University, Chiang Rai 57100, Thailand\n4eState Key Laboratory of Mycology, Institute of Microbiology, Chinese Academy of Sciences, No 3 1st\n5dA.M.B. Gruppo Micologico Forlivese “Antonio Cicognani”, Via Roma 18, Forlì, Italy; A.M.B. Circolo M\n* Corresponding author: gzliuzuoyi@163.com


url: =Farmacie in Xishan - Directory - List - Guida - farmacie - Altre città in jiangxi - Jiangxi - Cina - Pharmaciesworldwide\nHomepage › Per paese › Cina › Jiangxi › Altre città in jiangxi › Farmacie in xishan\nFarmacie in xishan Altre città in jiangxi > Jiangxi > Cina\nStai meschiante con il nostro sito web? Non so come trovare le informazioni? Grazie al nostro motore di ricerca in alto puoi semplificare la ricerca se conosci il nome di Farmacie in Xishan o il nome della città di Cina dove hai bisogno di una farmacia.\nSe stai passando attraverso Xishan e hai appena visto nella tua borsa che non hai più farmaci, non ti preoccupare qui ti mostri una directory completa con le farmacie in Cina.\nCapiamo che ci sono molte guide su Internet Farmacie in Xishan e che la registrazione in essi è un compito difficile, ma almeno devi essere registrato nel nostro, dato che è la più importante delle farmacie Cina.\nDal momento che Pharmaciesworldwide abbiamo capito che l'unico modo per arrivare all'eccellenza in una guida di Farmacie in Xishan è quello di offrire costantemente ai nostri utenti informazioni aggiornate e reali. Se alcuni utenti scoprono che qualcosa non corrisponde alla realtà, devi solo contattarci o modificarlo dai link corrispondenti all'interno della scheda farmacia..\nMolte persone vanno principalmente su questa guida di farmacia aperta 24 ore in Xishan (Cina) perché sono le cose più complicate da conoscere di una farmacia, di solito sono informazioni inesatte e non sanno dove trovarlo\nNon ogni giorno hai l'occasione di scoprire una guida in farmacia Xishan (Cina) che ti offre la possibilità di sapere quali sono quelli che si aprono oggi. Se vuoi godere di questo elenco, basta inserire questo link\nAbbiamo le più grandi farmacie della rete e con i prodotti più richiesti e al miglior prezzo, le offerte incredibili vi attendono grazie alla nostra guida delle farmacie online in Xishan (Cina)\nPrendi farmaci che non sono nelle farmacie convenzionali? Se questo è il tuo caso e sei in Xishan (Cina) e devi sapere con urgenza quali farmacie specializzate sono più vicine alla tua località, entra qui e scopri\nÈ possibile che alcuni prodotti possono variare nel prezzo da una farmacia all'altro, se si desidera sapere quali sono le farmacie che secondo molti utenti hanno prezzi più competitivi Xishan (Cina), vai a questo link\nomron- (Situato 29.30 Km)\n218 xiangshan s rd, xihu, nanchang, jiangxi, china 330000 Nanchang ,Altre città in Jiangxi ,Jiangxi ,Cina .\nlbx pharmacy- (Situato 31.19 Km)\nhuangqingren zhanhuashi pharmacy- (Situato 35.52 Km)\nqingshan n rd, donghu, nanchang, jiangxi, china 330000 Yangzizhou ,Altre città in Jiangxi ,Jiangxi ,Cina .\nrenrenle pharmacy- (Situato 28.81 Km)\nzijing rd, qingshanhu, nanchang, jiangxi, china 330013 Jiaoqiao ,Altre città in Jiangxi ,Jiangxi ,Cina .\ntongrentang- (Situato 28.15 Km)\nruiyang ave, gao'an, yichun, jiangxi, china 330800 Junyang ,Altre città in Jiangxi ,Jiangxi ,Cina .\nwanbu drug store- (Situato 33.34 Km)\nwanxia section, anyi, nanchang, jiangxi, china, 330500 330500 Wanbu ,Altre città in Jiangxi ,Jiangxi ,Cina .\njingdong drug store- (Situato 28.60 Km)\ntaoyuan w rd, xihu, nanchang, jiangxi, china 330000 Taohua ,Altre città in Jiangxi ,Jiangxi ,Cina .\nnanchang yuanda pharmacy- (Situato 29.79 Km)\nyuanming n rd, donghu, nanchang, jiangxi, china 330000 Nanchang ,Altre città in Jiangxi ,Jiangxi ,Cina .\nlbx pharmacy- (Situato 42.92 Km)\n313 provincial rd, jing'an, yichun, jiangxi, china 330600 Shuangxi ,Altre città in Jiangxi ,Jiangxi ,Cina .\nhuibu drug store- (Situato 45.79 Km)\n538 county rd, fengxin, yichun, jiangxi, china Huibu ,Altre città in Jiangxi ,Jiangxi ,Cina .


url: =Publications | HCP 中山大学人机物智能融合实验室 Publications – HCP 中山大学人机物智能融合实验室\n2021 |2020 |2019 |2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010\n(* indicates the paper's corresponding author)\n“Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation”,Shuai Lin, Pan Zhou, Xiaodan Liang*, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2021. Paper\n“REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement”,Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, Liang Lin, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2021. Paper\n“Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition”,Xiao Yubei, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang and Liang Lin, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2021. Paper Code\n“Knowledge Graph Transfer Network for Few-Shot Recognition”,Riquan Chen, Tianshui Chen, Xiaolu Hui, Hefeng Wu, Guanbin Li, and Liang Lin*, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020. Paper\n“An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation”,Jihan Yang, Ruijia Xu, Ruiyu Li, Xiaojuan Qi, Xiaoyong Shen, Guanbin Li, and Liang Lin*, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020. Paper\n“Tree-Structured Policy based Progressive Reinforcement Learning for Temporally Language Grounding in Video”,Jie Wu, Guanbin Li, Si Liu, and Liang Lin*, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020. Paper Code\n“Block-wisely Supervised Neural Architecture Search with Knowledge Distillation”,Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, and Xiaochun Chang*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. Report Code\n“Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification with Deep Mis-Ranking”,Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. Paper Code\n“Bidirectional Graph Reasoning Network for Panoptic Segmentation”,Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.\n“Grammatically Recognizing Images with Tree Convolution”,Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, and Liang Lin*,Proc. of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.\n“EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning”,Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, and Liang Lin*,Proc. of European Conference on Computer Vision (ECCV), 2020. (Oral Presentation) Paper Code\n“Component Divide-and-Conquer for Real-World Image Super-Resolution”,Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye, Wangmeng Zuo, and Liang Lin*,Proc. of European Conference on Computer Vision (ECCV), 2020. (Oral Presentation) Paper Code\n“Dynamic Knowledge Routing Network For Target-Guided Open-Domain Conversation”,Jinghui Qin, Zheng Ye, Jianheng Tang, Xiaodan Liang*, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2020. Paper\n“Reinforcement Learning for Weakly Supervised Temporal Grounding of Natural Language in Untrimmed Videos”,Jie Wu, Guanbin Li, Xiaoguang Han, and Liang Lin. ACM Multimedia (ACMMM), 2020. Paper\n“Fine-Grained Image Captioning with Global-Local Discriminative Objective”,Jie Wu, Tianshui Chen, Hefeng Wu, Zhi Yang, Guangchun Luo, and Liang Lin. . IEEE Transactions on Multimedia.(TMM). Paper Code\n“Modularized Framework with Category-Sensitive Abnormal Filter for City Anomaly Detection”,Jie Wu, Yingying Li, Wei Zhang, Yi Wu, Xiao Tan, Hongwu Zhang, Shilei Wen, Errui Ding and Guanbin Li. ACMMM2020 Multimedia Grand Challenge Track.\n“Multi-Granularity Tracking with Modularlized Components for Unsupervised Vehicles Anomaly Detection”,Yingying Li, Jie Wu, Xue Bai, Xipeng Yang, Xiao Tan, Guanbin Li, Shilei Wen, Hongwu Zhang, and Errui Ding. In Proc. CVPR Workshops, Seattle, WA, USA, 2020. (CVPRW 2020) (Oral Presentation) Paper Code\n“Active Object Search”,Jie Wu, Tianshui Chen, Lishan Huang, Guanbin Li, Ling Tian, and Liang Lin. ACM Multimedia 2020.(ACMMM 2020) . (Oral Presentation)\n“Adaptive Context Selection for Polyp Segmentation”,Ruifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, and Yizhou Yu. Proc. of Conference on Medical Image Computing and Computer Assisted Intervention(MICCAI), 2020.\n“Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread”, Haofeng Li, Guanbin Li, Binbin Yang, Guanqi Chen, Liang Lin, and Yizhou Yu, IEEE Transactions on Cybernetics, 2020. Paper\n“Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark”, Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, and Liang Lin*, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2020. Paper Code\n“Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction“, Lingbo Liu, Jiajie Zhen, Guanbin Li, Geng Zhan, Zhaocheng He, Bowen Du, and Liang Lin, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2020. Paper Code\n“Learning Semi-supervised Multi-Label Fully Convolutional Network for Hierarchical Object Parsing”, Xiaobai Liu, Qian Xu, Eric Medwedeff, Grayson Adkins, Liang Lin, and Shuicheng Yan, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 31(7): 2500-2509, 2020.\n“Unifying Temporal Context and Multi-feature with Update-Pacing Framework for Visual Tracking”, Yuefang Gao, Zexi Hu, Henry W. F. Yeung, Yuk Ying Chung, Xuhong Tian, and Liang Lin, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 30(4): 1078-1091, 2020. Paper Code\n“Crowd Counting via Scale-Communicative Aggregation Networks“, Lixian Yuan, Zhilin Qiu, Lingbo Liu, Hefeng Wu, Tianshui Chen, Pei Chen, and Liang Lin.Neurocomputing, 2020. Paper Code\n“Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition“, Tianshui Chen, Liang Lin, Riquan Chen, Xiaolu Hui, Hefeng Wu.IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. Paper\n“Efficient Crowd Counting via Structured Knowledge Transfer“, Lingbo Liu, Jiaqi Chen, Hefeng Wu, Tianshui Chen, Guanbin Li, Liang Lin.Proc. of ACM International Conference on Multimedia (ACM MM), 2020. Paper Code\n“3D Human Pose Machines with Self-supervised Learning”, Keze Wang, Liang Lin*, Chenhan Jiang, Chen Qian, and Pengxu Wei, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 42(5): 1069-1082, 2020. Paper Code\n“Adversarial Graph Representation Adaptation for Cross-Domain Facial Expression Recognition”, Yuan Xie, Tianshui Chen*, Tao Pu, Hefeng Wu, Liang Lin.Proc. of ACM International Conference on Multimedia (ACM MM), 2020. (Oral Presentation) Paper Code\n“Active Object Search”, Jie Wu, Tianshui Chen*, Lishan Huang, Hefeng Wu, Guanbin Li, Ling Tian, Liang Lin, Proc. of ACM International Conference on Multimedia (ACM MM), 2020. (Oral Presentation). Paper\n“A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning”, Hongjun Wang, Guanbin Li, Xiaobai Liu, Liang Lin, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020. Paper\n“Physical-Virtual Collaboration Modeling for Intra-and Inter-Station Metro Ridership Prediction”,Lingbo Liu, Jingwen Chen, Hefeng Wu, Jiajie Zhen, Guanbin Li and Liang Lin.\nIEEE Transactions on Intelligent Transportation Systems (TITS), 2020. Paper Code\n“FRAME Revisited: An Interpretation View Based on Particle Evolution”, Cai, Yang Wu, Guanbin Li, Ziliang Chen, and Liang Lin*, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral Presentation) Paper Report Code\n“Lightweight Contrast Modeling for Attention-Aware Visual Localization”, Lili Huang, Ya Li, Guanbin Li, and Liang Lin, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2019. Paper\n“NADPEx: An On-policy Temporally Consistent Exploration Method for Deep Reinforcement Learning”, Sirui Xie, Junning Huang, Lanxin Lei, Chunxiao Liu, Zheng Ma, Wei Zhang, and Liang Lin, International Conference on Learning Representations (ICLR), 2019. Paper\n“SNAS: Stochastic Neural Architecture Search”, Sirui Xie, Hehui Zheng, Chunxiao Liu, and Liang Lin, International Conference on Learning Representations (ICLR), 2019. Paper Code\n“CluterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis”, Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper\n“Spatially Variant Linear Representation Models for Joint Filtering”, Jinshan Pan, Jiangxin Dong, Jimmy Ren, Liang Lin, Jinhui Tang, and Ming-Hsuan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.Paper\n“Graphonomy: Universal Human Parsing via Graph Transfer Learning”, Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper Code\n“Knowledge-Embedded Routing Network for Scene Graph Generation”, Tianshui Chen, Weihao Yu, Riquan Chen, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper Code\n“Reasoning-RCNN: Unifying Adaptive Global Reasoning into Large-scale Object Detection”, Hang Xu, Chenhan Jiang, Xiaodan Liang, Liang Lin, and Zhenguo Li, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper Code\n“Layout-Graph Reasoning for Fashion Landmark Detection”, Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper\n“Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks”, Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. PaperCode\n“Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation”, Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper\n“Adaptively Connected Neural Networks”, Guangrun Wang, Keze Wang, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. Paper Code\n“Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition”, Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, and Liang Lin, Proc. of IEEE International Conference on Computer Vision (ICCV), 2019. Paper Code\n“Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning”, Xiaopeng Yan, Ziliang Chen, Anni Xu, Xiaoxi Wang, Xiaodan Liang, and Liang Lin*, Proc. of IEEE International Conference on Computer Vision (ICCV), 2019. Paper\n“Knowledge-Driven Encode, Retrieve, Paraphrase for Medical Image Report Generation”, Christy Y. Li, Xiaodan Liang**, Zhiting Hu, Eric Xing. (AAAI) 2019\n“End-to-End Knowledge-Routed Relational Dialogue System for Automatic Diagnosis”, Lin Xu, Qixian Zhou, Ke Gong, Xiaodan Liang**, Jianheng Tang, Liang Lin. (AAAI) 2019. Paper\n“Face Hallucination by Attentive Sequence Optimization with Reinforcement Learning” , Yukai Shi, Guanbin Li*, Qingxing Cao, Keze Wang, Liang Lin, IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI), DOI: 10.1109/TPAMI.2019.2915301, 2019. Paper Code\n“Crowd Counting with Deep Structured Scale Integration Network”, Lingbo Liu, Zhilin Qiu, Guanbin Li, Shufan Liu, Wanli Ouyang, Liang Lin, International Conference on Computer Vision(ICCV), 2019. Paper\n“Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation” , Ruijia Xu, Guanbin Li*, Jihan Yang, Liang Lin, International Conference on Computer Vision(ICCV), 2019. (Best Paper Nomination, only one candidate from China) Paper Code\n“Semi-Supervised Video Salient Object Detection Using Pseudo-Labels” , Pengxiang Yan, Guanbin Li*, Yuan Xie, Zhen Li, Chuan Wang, Tianshui Chen, Liang Lin, International Conference on Computer Vision(ICCV), 2019. Paper\n“Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid” , Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang, International Conference on Computer Vision(ICCV), 2019. [CCF A] Paper\n“Motion Guided Attention for Video Salient Object Detection” , Haofeng Li, Guanqi Chen, Guanbin Li*, Yizhou Yu, International Conference on Computer Vision(ICCV), 2019.\n“Dynamic Graph Attention for Referring Expression Comprehension” , Sibei Yang, Guanbin Li*, Yizhou Yu, International Conference on Computer Vision(ICCV), 2019. Paper\n“Simultaneous Lung Field Detection and Segmentation for Pediatric Chest Radiographs” , Wei Zhang, Guanbin Li, Fuyu Wang, Longjiang E, Yizhou Yu, Liang Lin, Huiying Liang, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. Paper\n“Globally Guided Progressive Fusion Network for 3D Pancreas Segmentation”, Chaowei Fang, Guanbin Li, Chengwei Pan, Yiming Li, Yizhou Yu, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019. Paper\n“Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching” , Ziliang Chen, Zhanfu Yang, Xiaoxi Wang, Xiaodan Liang, Xiaopeng Yan, Guanbin Li, Liang Lin, International Conference on Machine Learning (ICML), 2019. Paper\n“Cross-Modal Relationship Inference for Grounding Referring Expressions” , Sibei Yang, Guanbin Li*, Yizhou Yu, IEEE Conference on Computer Vision and Pattern Recognition(CVPR), 2019. Paper Code\n“Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition”, Guanbin Li, Xin Zhu, Yirui Zeng, Qing Wang, Liang Lin, Association for the Advancement of Artificial Intelligence(AAAI), 2019. (Oral Presentation) Paper\n“FRAME Revisited: An Interpretation View Based on Particle Evolution” ,Xu Cai, Yang Wu, Guanbin Li, Ziliang Chen, Liang Lin, Association for the Advancement of Artificial Intelligence(AAAI), 2019. Paper Code\n“Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks”, Xiang He, Sibei Yang, Guanbin Li*, Haofeng Li, Huiyou Chang, Yizhou Yu, Association for the Advancement of Artificial Intelligence(AAAI), 2019. Paper\n“Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria”, Keze Wang, Liang Lin*, Xiaopeng Yan, Ziliang Chen, Dongyu Zhang, and Lei Zhang, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019. Paper Code\n“Context-Aware Semantic Inpainting”, Haofeng Li, Guanbin Li, Liang Lin, Hongchuan Yu, and Yizhou Yu, IEEE Transactions on Cybernetics (T-Cybernetics), 49(12): 4398-4411, 2019. Paper\n“Neural Task Planning with And-Or Graph Representations”, Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, and Liang Lin, IEEE Transactions on Multimedia (T-MM), 21(4): 1022-1034, 2019. Paper\n“Cross-Modal Attentional Context Learning for RGB-D Object Detection”, Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, and Liang Lin*, IEEE Transactions on Image Processing (T-IP), 28(4): 1591-1601, 2019. Paper\n“Visual Tracking via Dynamic Graph Learning”, Chenglong Li, Liang Lin*, Wangmeng Zuo, Jin Tang, and Ming-Hsuan Yang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2018.2864965, 2019. Paper\n“Interpretable Visual Question Answering by Reasoning on Dependency Trees”, Qingxing Cao, Xiaodan Liang, Bailin Li, and Liang Lin*, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019. Paper Code\n“Taxi Origin-Destination Demand Prediction with Contextualized Spatial-Temporal Network”， Lingbo Liu, Zhilin Qiu, Guanbin Li, Qing Wang, Wanli Ouyang, and Liang Lin, IEEE Transactions on Intelligent Transportation Systems (T-ITS), 20(10): 3875-3887, 2019. Paper Code\n“SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification”, Ruimao Zhang, Jingyu Li, Hongbin Sun, Yuying Ge, Ping Luo, Xiaogang Wang, and Liang Lin*, IEEE Transactions on Image Processing (T-IP), 28(10): 4870-4882, 2019. Paper Code\n“Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning”, Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Qing Wang, and Liang Lin, IEEE Transactions on Multimedia (T-MM), 21(9): 2248-2262, 2019. Paper Code\n“Progressively Diffused Networks for Semantic Visual Parsing”, Ruimao Zhang, Wei Yang, Zhanglin Peng, Pengxu Wei, Xiaogang Wang, and Liang Lin, Pattern Recognition, 90(6): 78-86, 2019. Paper\n“CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks“, Hongjun Wang, Guangrun Wang, Guanbin Li, and Liang Lin, ACM International Conference on Information and Knowledge Management (CIKM), 2019. Paper\n“Semi-supervised Skin Detection by Network with Mutual Guidance”, Yi He, Jiayuan Shi, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang, International Conference on Computer Vision(ICCV), 2019. Paper\n“ROSA: Robust Salient Object Detection against Adversarial Attacks”， Haofeng Li, Guanbin Li*, Yizhou Yu, IEEE Transactions on Cybernetics(T-Cybernetics), 2019. Paper\n“Contextualized Spatial–Temporal Network for Taxi Origin-Destination Demand Prediction”, Lingbo Liu, Zhilin Qiu, Guanbin Li*, Qing Wang, Wanli Ouyang, Liang Lin, IEEE Transactions on Intelligent Transportation Systems(T-ITS), 2019. Paper\n“Neural Task Planning with And-Or Graph Representations“, Tianshui Chen, Riquan Chen, Lin Nie, Xiaonan Luo, Xiaobai Liu, and Liang Lin.IEEE Transactions on Mutimedia (T-MM), 21(4), 1022-1034, 2019. Paper\n“Concrete Image Captioning by Integrating Content Sensitive and Global Discriminative Objective“, Jie Wu, Tianshui Chen, Hefeng Wu, Qing Wang, Zhi Yang, Liang Lin.Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2019. Paper Code\n“Recurrent Attention Reinforcement Learning for Multi-label Image Recognition”, Tianshui Chen, Zhouxia Wang, Guanbin Li*, Liang Lin, Association for the Advancement of Artificial Intelligence(AAAI), 2018. Paper\n“Contrast-Oriented Deep Neural Networks for Salient Object Detection”, Guanbin Li and Yizhou Yu, IEEE Transactions on Neural Networks and Learning Systems(T-NNLS), 2018. [JCR Rank 1] Paper\n“Attentive LSTM Crowd Flow Machines”, Lingbo Liu, Ruimao Zhang, Jiefeng Peng, Guanbin Li*, Bowen Du, Liang Lin, ACM International Conference on Multimedia(ACM MM), 2018. Paper\n“Non-locally Enhanced Encoder-Decoder Network for Single Image De-raining”, Guanbin Li, Xiang He, Wei Zhang, Huiyou Chang, Le Dong, Liang Lin, ACM International Conference on Multimedia(ACM MM), 2018. Paper Code\n“Reinforcement Cutting-Agent Learning for Video Object Segmentation”, Junwei Han, Le Yang, Dingwen Zhang, Xiaojun Chang, Xiaodan Liang. (CVPR), 2018. (Spotlight) Paper\n“Dynamic-structured Semantic Propagation Network”, Xiaodan Liang, Hongfei Zhou, Eric P. Xing. (CVPR) 2018. Paper\n“StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network”, Bilong Shen, Xiaodan Liang, Yufeng Ouyang, Miaofeng Liu, Weimin Zheng, Kathleen M. Carley. (KDD), 2018. Paper\n“Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio”, Nanqing Dong, Michael C. Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing. (MICCAI) 2018. Paper\n“Teaching Robots to Predict Human Motion”, Liangyan Gui, Kevin Zhang, Yuxiong Wang, Xiaodan Liang, Jose M.F. Moura, Manuela Veloso. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. (Oral Presentation) Paper\n“Adaptive Temporal Encoding Network for Video Instance-level Human Parsing”, Qixian Zhou,Xiaodan Liang, Ke Gong, Liang Lin. (ACM MM), 2018. Paper Code\n“A Modulation Module for Multi-task Learning with Applications in Image Retrieval”, Xiangyun Zhao, Haoxiang Li, Xiaohui Shen, Xiaodan Liang, Ying Wu. (ECCV), 2018.\n“RCAA: Relational Context-Aware Agents for Person Search”, Xiaojun Chang, Po-Yao Huang, Xiaodan Liang, Yi Yang, Alexander Hauptmann. (ECCV), 2018. Paper\n“Toward Characteristic-Preserving Image-based Virtual Try-On Network”, Bochao Wang, Huabin Zheng, Xiaodan Liang,Yimin Chen, Liang Lin. (ECCV), 2018. Paper Code\n“Real-to-Virtual Domain Unification for End-to-End Autonomous Driving”, Luona Yang, Xiaodan Liang, Eric P. Xing. (ECCV), 2018. Paper\n“Adversarial Geometry-Aware Human Motion Prediction”, Liangyan Gui, Xiaodan Liang, Yuxiong Wang, Jose M.F. Moura. (ECCV), 2018. (Oral Presentation) Paper\n“Instance-level Human Parsing via Part Grouping Network”, Ke Gong, Xiaodan Liang, Yicheng Li, Yimin Chen, Liang Lin. (ECCV), 2018. (Oral Presentation) Paper Code\n“CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving”, Xiaodan Liang, Tairui Wang, Luona Yang, Eric P. Xing. (ECCV), 2018. Paper\n“Generative Semantic Manipulation with Mask-Contrasting GAN”, Xiaodan Liang, Hao Zhang, Eric P. Xing. (ECCV), 2018. Paper\n“Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images”, Nanqing Dong, Michael C. Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric P. Xing. DLMIA/MICCAI 2018. (Oral Presentation) Paper Code\n“Hybrid Knowledge Routed Modules for Large-scale Object Detection”, ChenHan Jiang, Hang Xu, Xiaodan Liang, Liang Lin. (NIPS), 2018. Paper Code\n“Deep Generative Models with Learnable Knowledge Constraints”, Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric Xing. (NIPS), 2018. Paper Supp.\n“Soft-Gated Warping-GAN for Pose-Guided Person Image Synthesis”, Haoye Dong, Xiaodan Liang, Ke Gong, Hanjiang Lai, Jia Zhu, Jian Yin. (NIPS), 2018. Paper Supp.\n“Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation”, Christy Y. Li, Xiaodan Liang, Zhiting Hu, Eric Xing. (NIPS), 2018. Paper Supp.\n“Symbolic Graph Reasoning Meets Convolutions”, Xiaodan Liang, Zhiting Hu, Hao Zhang, Liang Lin, Eric P. Xing. (NIPS), 2018. Paper Supp.\n“Learning to Segment Object Candidates via Recursive Neural Networks”, Tianshui Cheng, Liang Lin, Xian Wu, Nong Xiao, and Xiaonan Luo, IEEE Transactions on Image Processing (T-IP), 27(12): 5827-5839, 2018. Paper\n“High-Precision Camera Localization in Scenes with Repetitive Patterns”, Xiaobai Liu, Qian Xu, Yadong Mu, Liang Lin, Jiadi Yang, and Shuicheng Yan, ACM Transactions on Intelligent Systems and Technology (TIST), 9(6): Article 66, 2018. Paper\n“Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark”, Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin*, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(4): 871-885, 2019. Paper Code\n“Learning Support Correlation Filters for Visual Tracking”, Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, and Ming-Hsuan Yang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018. Paper Supp. Code\n“Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, Ruimao Zhang, Liang Lin*, Guangrun Wang, Meng Wang, and Wangmeng Zuo, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 41(3): 596-610, 2019. Paper Supp. Code\n“Proposal-free Network for Instance-level Semantic Object Segmentation”, Xiaodan Liang, Liang Lin*, Yunchao Wei, Xiaohui Shen, Jianchao Yang, and Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40(12): 2978-2991, 2018. Paper\n“F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation”, Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, and David Zhang, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 29(11): 5185-5199, 2018. Paper Code\n“Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning”, Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, and Liang Lin*, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 28(10): 2667-2678, 2018. Paper\n“Active Self-Paced Learning for Cost-Effective and Progressive Face Identification”, Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40 (1): 7-19, 2018. Paper Code\n“Convolutional Memory Blocks for Depth Data Representation Learning”, Keze Wang, Liang Lin*, Chuangjie Ren, Wei Zhang, and Wenxiu Sun, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. Paper Code\n“Crowd Counting using Deep Recurrent Spatial-Aware Network”, Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, and Liang Lin, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. Paper\n“DRPose3D: Depth Ranking in 3D Human Pose Estimation”, Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, and Lizhuang Ma, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. Paper\n“Deep Reasoning with Knowledge Graph for Social Relationship Understanding”, Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, and Liang Lin, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. Paper Code\n“Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition”, Tianshui Chen, Liang Lin*, Riquan Chen, Yang Wu, and Xiaonan Luo, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2018. Paper\n“Towards Human-Machine Cooperation: Self-supervised Sample Mining for Object Detection”, Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper\n“LSTM Pose Machines”,Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Code\n“Flow Guided Recurrent Neural Encoder for Video Salient Object Detections”,Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper\n“Interpretable Video Captioning via Trajectory Structured Localization”,Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper\n“Visual Question Reasoning on General Dependency Tree”, Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Code\n“Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift”, Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Supp.\n“Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning”, Ke Yu, Chao Dong, Liang Lin, and Chen Change Loy, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Code\n“Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains”, Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy Ren, Ruichao Xiao, Jin Zeng, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Supp.\n“Single View Stereo Matching”, Yue Luo, Jimmy Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, and Liang Lin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Paper Code\n“Fusing Object Context to Detect Functional Area for Cognitive Robots”, Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, and Liang Lin, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2018. Paper Video\n“Avoidance of High-speed Obstacles Based on Velocity Obstacles”, Zhongchang Liu, Zeyu Jiang, Tianye Xu, Hui Cheng, Zhipeng Xie, and Liang Lin, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2018.\n“Learning A Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks”,Tianshui Chen, Liang Lin*, Wangmeng Zuo, Xiaonan Luo, and Lei Zhang, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral Presentation) Paper Code\n“Weakly Supervised Salient Object Detection Using Image Labels”,Tianshui Chen, Zhouxia Wang, Guanbin Li, and Liang Lin,Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral Presentation) Paper\n“Learning deep representations for semantic image parsing: a comprehensive overview”, Lili Huang, Jiefeng Peng, Ruimao Zhang, Guanbin Li, Liang Lin, Frontiers of Computer Science, 2018. Paper\n“Facial Landmark Localization in the Wild by Backbone-Branches Representation Learning”, Lingbo Liu, Guanbin Li, Yuan Xie, Yizhou Yu, Liang Lin, Fourth IEEE International Conference on Multimedia Big Data (BigMM). 2018. Paper\n“Fine-Grained Representation Learning and Recognition by Exploiting Hierarchical Semantic Embedding”， Tianshui Chen, Wenxi Wu, Yuefang Gao, Le Dong, Xiaonan Luo, Liang Lin， Proc. of ACM International Conference on Multimedia (ACM MM), 2018. (Oral Presentation). Paper Code\n“Recurrent Attentional Reinforcement Learning for Multi-label Image Recognition”, Tianshui Chen, Zhouxia Wang, Guanbin Li, and Liang Lin, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. Paper\n“Kalman Normalization: Normalizing Internal Representations Across Network Layers”, Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, and Liang Lin*， Proc. of Advances in Neural Information Processing Systems (NIPS), 2018. Paper Code\n“BeautyGAN: Instance-level Facial Makeup Transfer with Deep Generative Adversarial Network”, Tingting Li, Ruihe Qian, Chao Dong, Si Liu, Qiong Yan, Wenwu Zhu, and Liang Lin, Proc. ACM International Conference on Multimedia (ACM MM), 2018. Paper\n“Learning Warped Guidance for Blind Face Restoration”, Xiaoming Li, Ming Liu, Yuting Ye, Wangmeng Zuo, Liang Lin, and Ruigang Yang, Proc. of European Conference on Computer Vision (ECCV), 2018. Paper Code\n“Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement”,Yukang Gan, Xiangyu Xu, Wenxiu Sun, and Liang Lin, Proc. of European Conference on Computer Vision (ECCV), 2018. Paper\n“Embedding Temporally Consistent Depth Recovery for Real-time Dense Mapping in Visual-inertial Odometry”, Hui Cheng, Zhuoqi Zheng, Jinhao He, Chongyu Chen, Keze Wang, and Liang Lin, Proc. of IEEE\_RSJ International Conference on Intelligent Robots and Systems (IROS), 2018. Paper\n“Multi-label Image Recognition by Recurrently Discovering Attentional Regions”, Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu and Liang Lin, International Conference on Computer Vision (ICCV), 2017. Paper\n“Perceptual Generative Adversarial Networks for Small Object Detection”, Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan\nIEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach”, Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan\nIEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Oral Presentation), 2017. Paper\n“Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection”, Xiaodan Liang, Lisa Lee, Eric P. Xing\nIEEE Conference on Computer Vision and Pattern Recognition (CVPR), (Spotlight), 2017. Paper\n“Deep learning based subdivision approach for large scale macromolecules structure recovery from electron cryo tomograms”, Min Xu, Xiaoqi Chai, Hariank Muthakana, Xiaodan Liang, Ge Yang, Tzviya Zeev-Ben-Mordehai, Eric P. Xing. ISMB 2017, Bioinformatics doi:10.1093/bioinformatics/btx230 2017. Paper\n“Controllable Text Generation”, Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. ICML 2017. (Oral Presentation) Paper\n“Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.”, Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, and Eric P. Xing.\nATC (Oral Presentation), 2017. Paper\n“Deep Attribute-preserving Metric Learning for Natural Language Object Retrieval”, Jianan LI, Yunchao Wei, Xiaodan Liang, Fang Zhao, Jianshu Li, Tingfa Xu, Jiashi Feng. (ACM MM), 2017. Paper\n“Nonparametric Variational Auto-encoders for Hierarchical Representation Learning”, Prasoon Goyal, Zhiting Hu, Xiaodan Liang, Chenyu Wang, Eric P. Xing. (ICCV), 2017.\n“Temporal Dynamic Graph LSTM for Action-driven Video Object Detection”, Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, Abhinav gupta. (ICCV), 2017. Paper\n“Recurrent Topic-Transition GAN for Visual Paragraph Generation”, Xiaodan Liang, Zhiting Hu, Hao Zhang, Chuang Gan, Eric P. Xing. (ICCV), 2017. Paper\n“Dual Motion GAN for Future-Flow Embedded Video Prediction”, Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing. (ICCV), 2017. Paper\n“Structured Generative Adversarial Networks”, Hao Zhang, Zhijie Deng, Xiaodan Liang, Jun Zhu, Eric P. Xing. (NIPS), 2017. (Nvidia Pioneer Research Award) Paper Code\n“Attentive Contexts for Object Detection”, Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan. IEEE Transactions on Multimedia (T-MM), 2017. Paper\n“Multi-stage Object Detection with Group Recursive Learning”, Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan, IEEE Transactions on Multimedia (T-MM), 2017. Paper\n“Scale-aware Fast R-CNN for Pedestrian Detection”, Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Shuicheng Yan. TIP, 2017. Paper\n“Saliency Detection on Light Field: A Multi-Cue Approach”, Jun Zhang, Meng Wang, Liang Lin, Xun Yang, Jun Gao, and Yong Rui, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM-TOMM), 13(3): Article 32, 2017. Paper\n“Distance Metric Learning via Iterated Support Vector Machines”, Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, and Lei Zhang, IEEE Transactions on Image Processing (T-IP), 26(10): 4937-4950, 2017. Paper\n“Active Self-Paced Learning for Cost-Effective and Progressive Face Identification”, Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2017.2652459, 2017. Paper Code\n“Human Parsing with Contextualized Convolutional Neural Network”, Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin*, Shuicheng Yan,IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(1): 115-127, 2017. Paper\n“WELD: Weighted Low-rank Decomposition for Robust Grayscale-Thermal Foreground Detection”,Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin*,IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(4): 725-738, 2017. Paper Code\n“Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning”,Dongyu Zhang, Liang Lin*, Tianshui Chen, Xian Wu, Wenwei Tan, and Ebroul Izquierdo,IEEE Transactions on Image Processing (T-IP), 26(1): 328-339, 2017. Paper Code\n“Knowledge-Guided Recurrent Neural Network Learning for Task-oriented Action Prediction”,Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, and Hui Cheng,Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2017. (The world’s first 10K Best Paper Diamond Award, More info: http://www.ieee-icme.org/sc/award.php) Paper\n“Attention-Aware Face Hallucination via Deep Reinforcement Learning”, Qingxing Cao, Liang Lin*, Yukai Shi, Xiaodan Liang, and Guanbin Li,roc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Recurrent 3D Pose Sequence Machines”,Mude Lin, Liang Lin*, Xiaodan Liang, Keze Wang, and Hui Cheng, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing”, Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper Code\n“Interpretable Structure-Evolving LSTM”, Xiaodan Liang, Liang Lin*, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, and Eric Xing, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Instance-Level Salient Object Segmentation”, Guanbin Li, Yuan Xie, Liang Lin, and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Joint Detection and Identification Feature Learning for Person Search”, Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, and Xiaogang Wang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper Code\n“Learning Object Interactions and Descriptions for Semantic Image Segmentation”,Guangrun Wang, Ping Luo, Liang Lin*, and Xiaogang Wang,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. Paper\n“Learning Patch-based Dynamic Graph for Visual Tracking”, Chenglong Li, Liang Lin*, Wangmeng Zuo, and Jin Tang, roc. of AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral Presentation) Paper\n“Automatic colorization with improved spatial coherence and boundary localization”,Wei Zhang, Chaowei Fang, Guanbin Li*,Journal of Computer Science and Technology(JCST), 2017. Paper Report\n” Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning”,Yukai Shi, Keze Wang, Chongyu Chen*, Li Xu and Liang Lin, IEEE Transactions on Mulitmedia (TMM), 19(12): 2804-2815, 2017. Paper\n” Using 3D Face Priors for Depth Recovery”, Chongyu Chen, Hai Xuan Pham, Vladimir Pavlovic, Jianfei Cai, Guangming Shi, Yuefang Gao, Hui Cheng, Journal of Visual Communication and Image Representation (JVCI), 2017. Paper\n“Reconstructing dynamic objects via LiDAR odometry oriented to depth fusion”,H. Cheng, Y. Hu, H. Huang, C. Chen, and C. Chen*, The 10th International Conference on Intelligent Robotics and Applications (ICIRA 2017), Wuhan, China, 2017. Paper\n“Image-to-Video Person Re-Identification with Temporally Memorized Similarity Learning”, Dongyu Zhang, Wenxi Wu, Hui Cheng*, Ruimao Zhang, Zhenjiang Dong, Zhaoquan Cai, IEEE Transactions on Circuits and Systems for Video Technology, accepted to appear, 2017. Paper\n“Cluster synchronization for coupled systems with nonidentical linear dynamics”, Z.C. Liu, W. S. Wong, and H. Cheng, International Journal of Robust and Nonlinear Control, accepted, doi: 10.1002/rnc.3811, 2017. Paper\n“Decentralized navigation of multiple robots based on ORCA and Model Predictive Control”, Hui Cheng, Qiyuan Zhu, Zhongchang Liu, and Zeyu Jiang, Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), accepted to appear, Sep. 24-28, 2017, Vancouver, BC, Canada. Paper\n“An Autonomous Vision-Based Target Tracking System for Rotorcraft Unmanned Aerial Vehicles”, Hui Cheng, Lishan Lin, Zhuoqi Zheng, Yuwei Guan, and Zhongchang Liu, Proc. of IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), accepted to appear, Sep. 24-28, 2017, Vancouver, BC, Canada. Paper\n“Toward Controlled Generation of Text”, Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, Eric P. Xing. (ICML) 2017. (Oral Presentation) Paper Code\n“Cost-Effective Active Learning for Deep Image Classification”, Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, and Liang Lin, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(12): 2591-2600, 2017. Paper\n“Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning”, Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(6): 1089-1102, 2017. Paper Code\n“Face Recognition via Heuristic Deep Active Learning”, Li, Ya, Keze Wang, Lin Nie, and Qing Wang*, Chinese Conference on Biometric Recognition, pp. 97-107. Springer, Cham, 2017. Paper\n“Face Recognition by Coarse-to-Fine Landmark Regression with Application to ATM Surveillance”, Li, Ya, Lingbo Liu, Liang Lin, and Qing Wang*, CCF Chinese Conference on Computer Vision, pp. 62-73. Springer, Singapore, 2017.Paper\n“Face Attributes Recognition via Deep Multi-Task Cascade”, Li, Ya, Qing Wang, Lin Nie, and Hui Cheng, Proceedings of the 2017 International Conference on Data Mining, Communications and Information Technology, p. 29. ACM, 2017. Paper\n“Deep Dual Learning for Semantic Image Segmentation”, Ping Luo, Guangrun Wang, Liang Lin*, and Xiaogang Wang, Proc. of IEEE International Conference on Computer Vision (ICCV), 2017. Paper\n“Place-centric Visual Urban Perception with Deep Multi-instance Regression”, Proc. of ACM International Conference on Multimedia (ACM MM), 2017. Paper\n“Visual Saliency Detection Based on Multiscale Deep CNN Features”, Guanbin Li and Yizhou Yu, IEEE Transactions on Image Processing(TIP), 2016. Paper\nProc. of ACM International Conference on Multimedia (ACM MM) (Oral Presentation), 2016. Paper\n“Is Faster R-CNN Doing Well for Pedestrian Detection?”, Liliang Zhang, Liang Lin, Xiaodan Liang, Kaiming He\nEuropean Conference on Computer Vision (ECCV), 2016.Paper Code\n“LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling”, Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, and Liang Lin\nEuropean Conference on Computer Vision (ECCV), 2016. Paper\n“Peak-Piloted Deep Network for Facial Expression Recognition”, Xiangyun Zhao, Xiaodan Liang, Luoqi Liu, Teng Li, Yugang Han, Nuno Vasconcelos, Shuicheng Yan\n“Semantic Object Parsing with Graph LSTM”, Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin, Shuicheng Yan\nEuropean Conference on Computer Vision (ECCV) (Spotlight), 2016. Paper\n“Tree-structured Reinforcement Learning for Sequential Object Localization”, Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan\nNeural Information Processing Systems (NIPS), 2016. Paper\n“Learning to Segment with Image-level Annotations”, Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Zequn Jie, Yanhui Xiao, Yao Zhao, Shuicheng Yan\n“Scale-aware Pixelwise Object Proposal Network”, Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Eng Hock Francis Tay, Shuicheng Yan\nEEE Transactions on Image Processing (TIP), 2016. Paper\n“Learning to Segment Human by Watching YouTube”, Xiaodan Liang, Yunchao Wei, YunPeng Chen, Jianchao Yang, Liang Lin, Shuicheng Yan\nIEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2598340, 2016. Paper\n“Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning”,Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang, IEEE Transctions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2567386, 2016. Paper Code\n“Human Parsing with Contextualized Convolutional Neural Network”,Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin*, Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2016.2537339, 2016. Paper\n“WELD: Weighted Low-rank Decomposition for Robust Grayscale-Thermal Foreground Detection”, Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin*, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), DOI: 10.1109/TCSVT.2016.2556586, 2016. Paper\n“A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition”, Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, International Journal of Computer Vision (IJCV), 118(2): 256-273, 2016. Paper Code\n“Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection”, Ping Luo, Liang Lin*, and Xiaobai Liu, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 27(7): 1417-1428, 2016. Paper\n“Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences”, Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2489719, 2016. Paper Code\n“DISC: Deep Image Saliency Computing via Progressive Representation Learning”,Tianshui Chen, Liang Lin*, Lingbo Liu, Xiaonan Luo, and Xuelong Li, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 27(6): 1135-1149, 2016. Paper Code\n“Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval”, Xiaodan Liang, Liang Lin*, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan,IEEE Transactions on Multimedia (T-MM), 18(6): 1175-1186, 2016. Paper Code\n“Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle Representations”,Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, IEEE Transactions on Cybernetics (T-Cybernetics), 46(11): 2447-2458, 2016. Paper\n“An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition”,Chenglong Li, Liang Lin*, Wangmeng Zuo, Wenzhong Wang, and Jin Tang, IEEE Transactions on Image Processing (T-IP), 25(5): 21947-1960, 2016. Paper Code\n“Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”, Xiaodan Liang, Liang Lin*, Qingxing Cao, Rui Huang, and Yongtian Wang, IEEE Transactions on Medical Imaging (T-MI), 35(3): 713-727, 2016. Paper Code\n“Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy”, Zhanglin Peng, Ya Li, Zhaoquan Cai, and Liang Lin*, Neurocomputing, 178: 36-45, 2016. Paper\n“Geometric Scene Parsing with Hierarchical LSTM”, Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, and Liang Lin*, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2016. Paper\n“Deep Structured Scene Parsing by Learning with Image Descriptions”, Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, and Wangmeng Zuo, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral Presentation) Paper Code\n“Semantic Object Parsing with Local-Global Long Short-Term Memory”, Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Paper\n“Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection”, Keze Wang, Liang Lin*, Wangmeng Zuo, Shuhang Gu, and Lei Zhang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Paper\n“Joint Learning of Single-image and Cross-image Representations for Person Re-identification”, Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, and Lei Zhang,Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Paper\n“Reversible Recursive Instance-level Object Segmentation”, Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin*, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. Paper\n“DARI: Distance metric And Representation Integration for Person Verification”, Guangrun Wang, Liang Lin*, Shengyong Ding, Ya Li, and Qing Wang, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2016. Paper\n“Character Proposal Network for Robust Text Extraction”, Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. Paper\n“ColorSketch: A Drawing Assistant for Generating Color Sketches from Photos”, Guanbin Li, Sai Bi, Jue Wang, Yingqing Xu, and Yizhou Yu, IEEE Computer Graphics and Applications (CG&A), DOI: 10.1109/MCG.2016.37, 2016. Paper\n“Deep Contrast Learning for Salient Object Detection”, Guanbin Li and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.\n“STC: A Simple to Complex Framework for Weakly-supervised Semantic Segmentation”, Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Xiaohui Shen, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan. 2016\nIEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI). Paper\n“Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking”, Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin, IEEE Transactions on Image Processing (T-IP), 25(12): 5743-5756, 2016. Paper\n“A Stochastic Image Grammar for Fine-grained 3D Scene Reconstruction”, Xiaobai Liu, Yadong Mu, and Liang Lin, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2016.Paper\n“Local- and Holistic-structure Preserving Image Super Resolution via Deep Joint Component Learning”,Yukai Shi, Keze Wang, Li Xu, and Liang Lin*, Proc. of IEEE Conference on Multimedia and Expo (ICME), 2016.(Oral Presentation) Paper\n“Multi-Loss Regularized Deep Neural Network”, Chunyan Xu, Canyi Lu, Xiaodang Liang, Junbin Gao, Wei Zheng, Tianjiang Wang, Shuicheng Yan\nIEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2015. Paper\n“DISC: Deep Image Saliency Computing via Progressive Representation Learning”, Tianshui Chen, Liang Lin*, Lingbo Liu, Xiaonan Luo, and Xuelong Li, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2015.2506664, 2015. Paper Code\n“Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences”, Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2489719, 2015. Paper Code\n“Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”,Xiaodan Liang, Liang Lin*, Qingxing Cao, Rui Huang, and Yongtian Wang, IEEE Transactions on Medical Imaging (T-MI), DOI: 10.1109/TMI.2015.2492618, 2015. Paper Code\n“Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle Representations”, Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, IEEE Transactions on Cybernetics (T-Cybernetics), DOI: 10.1109/TCYB.2015.2478515, 2015. Paper\n“Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification”,Ruimao Zhang, Liang Lin*, Rui Zhang, Wangmeng Zuo, and Lei Zhang, IEEE Transactions on Image Processing (T-IP), 24(12): 4766-4779, 2015. Paper\n“Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy”,Zhanglin Peng, Ya Li, Zhaoquan Cai, and Liang Lin*, Neurocomputing, 2015. Paper\n“Human Parsing with Contextualized Convolutional Neural Network”, Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin*, and Shuicheng Yan, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015. (Oral Presentation) Paper\n“Towards Computational Baby Learning: A Weakly-supervised Approach for Object Detection”, Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, and Shuicheng Yan, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015. Paper\n“Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection”, Ping Luo, Liang Lin*, and Xiaobai Liu, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), accepted, 2015. Paper\n“Transferred Human Parsing with Video Context”, Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, IEEE Transactions on Multimedia (T-MM), accepted, 2015. Paper\n“PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence”, Keze Wang, Liang Lin*, Jiangbo Lu, Chenglong Li, and Keyang Shi, IEEE Transactions on Image Processing (T-IP), in press, 2015. Paper Supp. Code\n“Deep Human Parsing with Active Template Regression”,Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Liang Lin, and Shuicheng Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), in press, 2015. Paper\n“Deep Feature Learning with Relative Distance Comparison for Person Re-identification”,Shengyong Ding, Liang Lin*, Guangrun Wang, and Hongyang Chao, Pattern Recognition, in press, 2015. Paper\n“Kernel Sparse Representation for Time Series Classification”,Zhihua Chen, Wangmeng Zuo, Qinghua Hu, and Liang Lin, Information Sciences, 292(20): 15-26, 2015. Paper Code\n“Discriminatively Trained And-Or Graph Models for Object Shape Detection”,Liang Lin, Xiaolong Wang, Wei Yang, and JianHuang Lai, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 37(5): 959-972, 2015. Paper\n“Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance”,Ning Liu, Hefeng Wu, and Liang Lin, IEEE Transactions on Cybernectics (T-Cybernetics), 45(1): 89-102, 2015. Paper\n“SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation”,Chenglong Li, Liang Lin*, Wangmeng Zuo, Shuicheng Yan, and Jin Tang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Paper Supp.\n“Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution”, Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, and Lei Zhang, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Paper Supp.\n“Matching-CNN Meets KNN: Quasi-Parametric Human Parsing”, Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Paper\n“End-to-End Photo-Sketch Generation via Full Convolutional Representation Learning”, Liliang Zhang, Liang Lin*, Xian Wu, Shengyong Ding, and Lei Zhang, Proc. of ACM International Conference on Multimedia Retrieval (ACM ICMR), 2015. Paper\n“Data-Driven Scene Understanding with Adaptively Retrieved Exemplars”, Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, and Jian-Huang Lai, IEEE Multimedia, 2015. Paper\n“A Deep Joint Learning Approach for Age Invariant Face Verification”, Ya Li, Guangrun Wang, Liang Lin*, Huiyou Chang, CCCV (1) 2015: 296-305. Paper\n“Visual Saliency Based on Multiscale Deep Features”, Guanbin Li and Yizhou Yu, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. Paper\n“Class Relatedness Oriented-Discriminative Dictionary Learning for Multiclass Image Classification”, Dongyu Zhang*, Pengju Liu, Kai Zhang, Hongzhi Zhang, Qing Wang, Xiaoyuan Jing. Pattern Recognition. (Published Online, DOI: 10.1016/j.patcog.2015.12.005 ) Paper\n“Multiple human tracking based on distributed collaborative cameras”, Zhaoquan Cai, Shiyi Hu, Yukai Shi, Qing Wang, Dongyu Zhang.. Multimedia Tools and Applications. (Published Online, DOI: 10.1007/s11042-015-3163-7). Paper\n“Weighted Nuclear Norm Minimization Based Tongue Specular Reflection Removal”, Zhenchao Cui, Dongyu Zhang, Kuanquan Wang, Hongzhi Zhang, Naimin Li, and Wangmeng Zuo.. Mathematical Problems in Engineering, Volume 2015, Article ID 979415, 15 pages. Paper\n“Deep Joint Task Learning for Generic Object Extraction”, Xiaolong Wang, Liliang Zhang, Liang Lin*, Zhujin Liang, and Wangmeng Zuo, Proc. of Advances in Neural Information Processing Systems (NIPS), 2014. Paper Code\n“3D Activity Recognition with Reconfigurable Convolutional Neural Networks”, Keze Wang, Xiaolong Wang, Liang Lin*, Meng Wang, and Wangmeng Zuo, Proc. of ACM International Conference on Multimedia (ACM MM), (long paper, Oral Presentation), 2014. Paper\n“Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models”, Liang Lin, Yuanlu Xu, Xiaodan Liang, and Jian-Huang Lai, IEEE Transactions on Image Processing (T-IP), 23(7): 3191-3202, 2014. Paper\n“Fashion Parsing with Video Context”, Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lv, Liang Lin, and Shuicheng Yan, Proc. of ACM International Conference on Multimedia (ACM MM), (long paper, Oral Presentation), 2014. Paper\n“Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness”, Yuanlu Xu, Bingpeng Ma, Rui Huang, and Liang Lin, Proc. of ACM International Conference on Multimedia (ACM MM), 2014. Paper\n“Robust Feature Point Matching with Sparse Model”,Bo Jiang, Jin Tang, Bin Luo, and Liang Lin, IEEE Transactions on Image Processing (T-IP), 23(12): 5175-5186, 2014. Paper\n“Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling”, Liang Lin, Ruimao Zhang, Xiaohua Duan, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), in press, 2014. Paper\n“An Expressive Deep Model for Parsing Human Action from a Single Image”, Zhujin Liang, Xiaolong Wang, Rui Huang, and Liang Lin*, Proc. of IEEE International Conference on Multimedia and Expo (ICME), (Oral Presentation), 2014. (Best Student Paper Award) Paper\n“Deep Boosting: Layered Feature Mining for General Image Classification”, Zhanglin Peng, Liang Lin*, Ruimao Zhang, and Jing Xu, Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2014. Paper\n“Clothing Co-Parsing by Joint Image Segmentation and Labeling”, Wei Yang, Ping Luo, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. Paper\n“Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model”, Xiaodan Liang, Qingxing Cao, Rui Huang, and Liang Lin, IEEE International Symposium on Biomedical Imaging (ISBI), 2014. Paper Code\n“Towards a solid solution of real-time fire and flame detection”, Bo Jiang, Yongyi Lu, Xiying Li, and Liang Lin, Multimedia Tools and Applications Journal (MMTA), DOI: 10.1007/s11042-014-2106-z, 2014. Paper\n“Salient object detection based on regions”, Zhuojia Liang, Mingjia Wang, Xiaocong Zhou, Liang Lin, Multimedia Tools and Applications Journal (MMTA), 68(3): 517-544, 2014. Paper\n“Pulse Waveform Classification Using Support Vector Machine with Gaussian Time Warp Edit Distance Kernel”, Danbing Jia, Dongyu Zhang*, and Naimin Li. Computational and Mathematical Methods in Medicine Volume 2014. (2014), Article ID 947254, 10 pages. Paper\n“Contextualized Trajectory Parsing with Spatio-Temporal Graph”, Xiaobai Liu, Liang Lin*, and Hai Jin, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), in press, 2013. Paper\n“Video Stylization: Painterly Rendering and Optimization with Content Extraction”, Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, and Song-Chun Zhu, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 23(4): 577-590, 2013. Paper\n“Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm”, Hanjiang Lai, Yan Pan, Cong Liu, Liang Lin, and Jie Wu, IEEE Transactions on Computers (TC), 62(6): 1221-1233, 2013. Paper\n“Discovering Video Shot Categories by Unsupervised Stochastic Graph Partition”, Xiaohua Duan, Liang Lin*, and Hongyang Chao, IEEE Transactions on Multimedia (TMM), 15(1): 167-180, 2013. Paper\n“Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection”, Xiaolong Wang, Liang Lin*, Lichao Huang, and Shuicheng Yan, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. Paper\n“PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors”, Keyang Shi, Keze Wang, Jiangbo Lu, and Liang Lin*, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. Paper\n“Robust Region Grouping via Internal Patch Statistics”, Xiaobai Liu, Liang Lin, and Alan L. Yuille, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. Paper\n“Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition”, Xiaodan Liang, Liang Lin*, and Liangliang Cao, Proc. ACM International Conference on Multimedia (MM), (long paper), 2013. Paper\n“Integrating multi-stage depth-induced contextual information for human action recognition and localization”, Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, and Pierre Moulin, Proc. of IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013. Paper\n“Human Re-identification by Matching Compositional Template with Cluster Sampling”, Yuanlu Xu, Liang Lin*, Wei-Shi Zheng, and Xiaobai Liu, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. Paper\n“SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor”, Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, and Liang Lin, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. Paper\n“Correntropy Induced L2 Graph for Robust Subspace Clustering”, Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, and Zhouchen Lin, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. Paper\n“Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance”, Liang Lin, Yongyi Lu, Yan Pan, and Xiaowu Chen, IEEE Transactions on Image Processing (TIP), 21(12): 4844-4857, 2012. Paper\n“Object Categorization with Sketch Representation and Generalized Samples”, Liang Lin, Xiaobai Liu, Shaowu Peng, Hongyang Chao, Yongtian Wang, and Bo Jiang, Pattern Recognition, 45(10): 3648-3660, 2012. Paper\n“Representing and Recognizing Objects with Massive Local Image Patches”, Liang Lin, Ping Luo, Xiaowu Chen, and Kun Zeng, Pattern Recognition, 45(1): 231-240, 2012. Paper\n“Dynamical And-Or Graph Learning for Object Shape Modeling and Detection”, Xiaolong Wang, and Liang Lin*, Proc. of Advances in Neural Information Processing Systems (NIPS), 2012. Paper\n“Robust Stroke-based Video Animation via Layered Motion and Correspondence”, Tao Lin, Liang Lin*, and Qing Wang, Proc. of ACM Conference Multimedia (ACM MM), 2012. Paper\n“Joint Semantic Segmentation by Searching for Compatible-Competitive References”, Ping Luo, Xiaogang Wang, Liang Lin, and Xiaoou Tang, Proc. of ACM Conference Multimedia (ACM MM), 2012. Paper\n“Object-Layout-Aware Image Retrieval for Personal Album Management”, Mengyou Li, Zheng Song, Qiang Chen, Liang Lin, Zhongyang Huang, and Shuicheng Yan, Proc. of European Conference on Computer Vision (ECCV), 2012. (in Demo Session) Paper\n“Learning Contour-Fragment-based Shape Model with And-Or Tree Representation”, Liang Lin, Xiaolong Wang, Wei Yang, and Jian-Huang Lai, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. Paper\n“Cross-based Local Multipoint Filtering”, Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, and Minh Do, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.Paper\n“Enhancing group awareness on the web: Prototype and experiments of sharing web page visitation information among teammates”, Qing Wang, Ya Li, Gaoqiang Zheng, and Huiyou Chang, Interacting with Computers 24, no. 5 (2012): 398-408. Paper\n“Adaptive Object Tracking by Learning Hybrid Template On-line”, Xiaobai Liu, Liang Lin*, Shuicheng Yan, Hai Jin, and Wenbing Jiang, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 21(11): 1588-1599, 2011. Paper\n“High Resolution Face Fusion for Gender Conversion”, Jinli Suo, Liang Lin, Shiguang Shan, Xilin Chen, and Wen Gao, IEEE Transactions on Systems, Man, and Cybernetics (TSMC), Part A, 41(2): 226-237, 2011. Paper\n“Segment an Image by Looking into an Image Corpus”, Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, and Hai Jin, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. Paper\n“Interactive CT image segmentation with online discriminative learning”, Wei Yang, Xiaolong Wang, Liang Lin*, and Chengying Gao, Proc. of IEEE Conference on Pattern Recognition (ICPR), 2011. Paper\n“Color style transfer by constraint locally linear embedding”, Kun Zeng, Ruimao Zhang, Xiaodan Lan, Yan Pan, and Liang Lin*, Proc. of IEEE Conference on Image Processing (ICIP), 2011. Paper\n“Integrating Spatio-temporal Context with Multiview Representation for Object Recognition in Visual Surveillance”, Xiaobai Liu, Liang Lin*, Hai Jin, Shuicheng Yan, and Wenbin Tao, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 21(4): 393-407, 2011. Paper\n“Group Crumb: Sharing Web Navigation by Visualizing Group Traces on the Web”, Wang, Q., and Chang, H, 2011 European Conference on Computer-Supported Cooperative Work (ECSCW’11). Paper\n“Layered Graph Matching with Composite Cluster Sampling”, Liang Lin, Xiaobai Liu, and Song-Chun Zhu, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 32(8): 1426-1442, 2010. Paper\n“I2T: Image Parsing to Text Description”, B. Yao, X. Yang, Liang Lin, M.W. Lee, and S.C. Zhu, Proceedings of the IEEE, 98(8): 1485-1508, 2010. Paper\n“Skeletonization with Particle Filters”, Yunchun Tang, Xiang Bai, Xingwei Yang, Liang Lin, Shuwei Liu, and Longin Jan Latecki, International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), 24(4): 619-634, 2010. Paper\n“Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics”, Ping Luo, Liang Lin*, and Hongyang Chao, Proc. of European Conference on Computer Vision (ECCV), 2010. Paper\n“Painterly Animation Using Video Semantics and Feature Correspondence”, Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, YingQing Xu, and Song-Chun Zhu, Proc. of International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2010. (Oral Presentation) (Runner-up Best Paper Award) Paper\n“Tracking Objects with Adaptive Feature Patches for PTZ Camera Visual Surveillance”, Yi Xie, Liang Lin*, and Yunde Jia, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2010. Paper\n“Semantics-driven portrait cartoon stylization”, Ming Yang, Shu Lin, Ping Luo, Liang Lin, and Hongyang Chao, Proc. of IEEE Conference on Image Processing (ICIP), 2010. (Oral Presentation) Paper\n“A Discriminative Model for Object Representation and Detection via Sparse Features”, Xi Song, Ping Luo, Liang Lin, and Yunde Jia, Proc. of IEEE Conference on Image Processing (ICIP), 2010.\n“Classification of Pulse Waveforms Using Edit Distance with Real Penalty”, Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Naimin Li, , EURASIP Journal on Advances in Signal Processing, pp. 1-8, 2010. Paper\n“Gaussian ERP Kernel Classifier for Pulse Waveforms Classification”, Dongyu Zhang, Wangmeng Zuo, David Zhang, Yanlai Li, Naimin Li, , Proceedings of International Conference on Pattern Recognition (ICPR), pp. 2736-2739, 2010. Paper\n“Time Series Classification Using Support Vector Machine with Gaussian Elastic Metric Kernel”,Dongyu Zhang, Wangmeng Zuo, David Zhang, Hongzhi Zhang, Proceedings of International Conference on Pattern Recognition (ICPR), pp. 29-32, 2010. Paper\n“Pulse Waveform Classification Using ERP-Based Difference-Weighted KNN Classifier”, Dongyu Zhang, Wangmeng Zuo, Yanlai Li, Naimin Li, Proceedings of International Conference on Medical Biometrics, pp. 191-200, 2010. Paper\n“Distinguishing Patients with Gastritis and Cholecystitis from the Healthy by Analyzing Wrist Radial Arterial Doppler Blood Flow Signals”, Xiaorui Jiang, Dongyu Zhang, Kuanquan Wang, Wangmeng Zuo. Proceedings of International Conference on Pattern Recognition (ICPR), pp. 2492-2495, 2010. Paper\n“Classification of Wrist Pulse Blood Flow Signal Using Time Warp Edit Distance”, Lei Liu, Wangmeng Zuo, Dongyu Zhang, Naimin Li, Hongzhi Zhang, Proceedings of 2010 International Conference on Medical Biometrics, pp. 137-144, 2010. Paper\n“Multitasking Bar: Prototype and Evaluation of Introducing the Task Concept into a Browser”, Wang, Q. and Chang, H, 2010 ACM Conference on Human Factors in Computing Systems (CHI 2010, Acceptance rate 22%. Best Paper Honorable Mention Award. Awarded top 5% of accepted papers.) Paper


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