个人简历

李玺：男，博士，2014年获聘浙江大学教授，并入职浙江大学计算机学院人工智能研究所，浙江大学上海高等研究院副院长，浙江大学-每日互动数据智能研发中心主任，科技部科技创新2030新一代人工智能重大项目首席科学家，国家自然科学基金重点项目负责人，教育部重点规划研究项目负责人，国家四青人才入选者，浙江省杰出青年科学基金获得者，浙江省特聘专家，浙江省151人才培养工程第二层次,中国信息与电子科技发展战略研究中心专家委员会特聘专家。主要从事计算机视觉、模式识别和机器学习等领域的研究和开发。本人在国际权威期刊和国际顶级学术会议发表或录用文章150余篇等。这些研究成果受到了国际学术界和工业界的广泛关注，拥有多篇ESI高被引论文，获得两项最佳国际会议论文奖（包括ACCV 2010和DICTA 2012），一项最佳学生论文奖（ACML 2017），2019年度中国图象图形学报最佳封面文章，以及一项ICIP 2015 Top 10%论文奖。另外分别获得两项中国北京市自然科学技术奖（包括一等奖和二等奖），以及一项中国专利优秀奖。指导学生队伍进入2015年阿里巴巴大规模图像搜索大赛的决赛阶段，获得第6名(报名参赛队伍逾800多支)。另外，指导学生团队分别获得ECCV 2018自动驾驶和视频目标分割两项Workshop竞赛的第2名和第5名。
教育和研究经历
受教育经历
2004年9月至2009年4月，在中国科学院自动化研究所模式识别国家重点实验室取得博士学位。
2000年9月至2004年7月，在北京航空航天大学电子工程系取得学士学位。
研究工作经历
2009年4月至2009年5月，在中国科学院自动化研究所模式识别国家重点实验室担任研究助理。
2009年6月至2010年6月，在法国国家科学院巴黎电信大学从事博士后研究。
2010年9月至2014年2月，在澳大利亚阿德莱德大学计算机视觉研究中心担任高级研究员。
奖励荣誉
国家四青人才入选者
科技部科技创新2030新一代人工智能重大项目首席科学家
国家基金委NSFC重点项目负责人
教育部重点规划研究项目负责人
浙江省杰出青年科学基金获得者
浙江省151人才培养工程第二层次
浙江省特聘专家
2020年度中国图象图形学报优秀论文
2019年度中国图象图形学报最佳封面文章
中国图象图形学会理事
中国信息与电子科技发展战略研究中心专家委员会特聘专家
人工智能领域顶级会议IJCAI 2021的领域主席（SPC）
国际模式识别会议ICPR 2020的领域主席（Area Chair）
担任国际多媒体领域顶级会议ACM Multimedia 2020的领域主席（Area Chair）
担任国际计算机视觉领域顶级会议CVPR 2020的领域主席（Area Chair）
担任国际计算机视觉领域顶级会议ICCV 2019和ECCV 2020的领域主席（Area Chair）
人工智能领域顶级会议IJCAI 2019的领域主席（SPC）
IEEE Transactions on Cognitive and Developmental System的Associate Editor（2021.1—）
IEEE Transactions on Neural Networks and Learning Systems的Associate Editor（2019.1—）
IEEE Transactions on Circuits and Systems for Video Technology的Associate Editor（2019.1—）
受邀担任国际模式识别大会ICPR 2018的Computer Vision Track的Area Chair
担任中国模式识别大会PRCV 2019的领域主席（Area Chair）
Neurocomputing（曾任）和Neural Processing Letters的Associate Editor
2017年11月15日至17日，在韩国举行的亚洲机器学习国际会议（Asian Conference on Machine Learning）上获得best student paper award，获奖论文为“Pyramid Person Matching Network for Person Re-identification”
2015年9月27日至30日，在加拿大魁北克举行的图像处理国际会议（International Conference on Image Processing）上获得Top 10%paper award，获奖论文为“Multimedia retrieval via deep learning to rank”
指导学生团队获得第2名The Runner up of ECCV 2018 workshop Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments
指导学生团队获得第5名No.5 of ECCV 2018 workshop The 1st Large-scale Video Object Segmentation Challenge
指导学生团队获得2015年度阿里巴巴大规模图像搜索大赛的决赛第6名，报名参赛队伍逾800支队伍。
2010年11月8日至12日，在新西兰昆士城举行的第10届亚洲计算机视觉会议（Asian Conference on Computer Vision）上获得最佳论文奖（Best Paper Award），获奖论文为“Context Based Support Vector Machines for Interconnected Image Annotation”
2012年12月3日至5日，在澳大利亚西澳州举行的第15届数字图像计算技术及其应用国际会议（Digital Image Computing:Techniques and Applications）上获得最佳论文奖（Best Recognition Paper Award），获奖论文为“Visual Distance Measures for Object Retrieval”
2012年获得中国北京市科学技术奖一等奖，获奖项目是“网络信息安全分析与识别的技术、系统及应用”
2008年获得中国北京市科学技术奖二等奖，获奖项目是“视频的运动跟踪、理解与检索”
2013年获得由中国国家知识产权局颁发的第15届中国专利优秀奖
2009年获得中国科学院优秀博士毕业生称号
2007年获得中国科学院三好学生的荣誉
论文引用
Google Scholar Citations Link:https://scholar.google.com/citations?hl=zh-CN&user=TYNPJQMAAAAJ
SCI ResearcherID Citation Link:http://www.researcherid.com/rid/L-1234-2013
Aminer Researcher Profile Link：https://www.aminer.cn/profile/xi-li/53f7fecedabfae92b40fd9d0
教学工作
人工智能（本科生）
大数据原理（本科生）

研究领域

人工智能、计算机视觉、机器学习、模式识别、数据挖掘""

近期论文

Sun,P.,Wu,X.J.,Li,S.Y.,Lin,W.P.,Huang,J.Z.,and Li,X*.,“Real-Time Semantic Segmentation via Auto Depth,Downsampling Joint Decision and Feature Aggregation“,International Journal of Computer Vision(IJCV),2021.(Accepted)[Paper]
Sun,P.,Zhang,W.H.,Wang,H.Y.,Li,S.Y.,and Li,X*.,“Deep RGB-D Saliency Detection with Depth-Sensitive Attention and Automatic Multi-Modal Fusion”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2021.(Accepted,Oral)
Wang,H.,Qin,Z.,Li,S.,and Li,X*.,“CoDiNet:Path Distribution Modeling with Consistency and Diversity for Dynamic Routing,'IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Minor revision)
Zhao,H.,Wang,H.,Fu,Y.,Wu,F.,and Li,X*.,'Memory Efficient Class-Incremental Learning for Image Classification,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Accepted)
Li,X.W.,Li,S.,Boura,O.,Wu,F.,and Li,X*.,“ResKD:Residual-Guided Knowledge Distillation”,IEEE Transactions on Image Processing(TIP),2021.(Accepted)[Paper]
Zhao,H.,Zeng,H.,Qin,X.,Fu,Y.,Wang,H.,Omar,B.,and Li,X*.,“What and Where:Learn to Plug Adapters via NAS for Multi-Domain Learning,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Minor Revision)
Cui,J.,Zhang,P.,Li,S.,Zheng,L.,Bao,C.,and Li,X*.,“Multitask Identity-AwareImage Steganography via Minimax Optimization,'IEEE Transactions on Image Processing(TIP),2021.(Major Revision)
Fu,Y.,Wang,F.,Li,S.,Zhao,H.,Fang,W.,Zhuang,Y.,Pan Z.,and Li,X*.,“Elastic Knowledge Distillation by Learning from Recollection,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2021.(Major Revision)
Wang,H.,Tian,J.,Li,S.,Zhao,H.,Tian,Q.,Wu,F.,and Li X.,“Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Under review)
Zhao,H.,Fu,Y.,Kang,M.,Tian,Q.,Wu,F.,and Li,X*.,“MgSvF:Multi-Grained Slow vs.Fast Framework for Few-Shot Class-Incremental Learning“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2021.(Under review)
Feng,J.,Li,S.,Li,X*.,et al.,“TapLab:A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2020.(Accepted)[Code][Paper]
Qin,Z.,Wang H.,and Li,X*.,“Ultra Fast Structure-aware Deep Lane Detection',Proceedings of European Conference on Computer Vision(ECCV）,2020.(Accepted)[Code][Paper]
Wang,F.,Chen,Y.,Wu,F.,and Li,X*.,“TextRay:Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection,”Proceedings of ACM International Conference on Multimedia(ACM MM),2020.(Accepted,Oral)[Code][Paper]
Lin,P.,Sun P.,Cheng,G.,Xie,S.,Li,X*.,and Shi,J.,“Graph-guided Architecture Search for Real-time Semantic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted)[Paper]
Chen,Y.F.,Lin,G.,Li,S.,Omar,B.,Wu,Y.,Wang,F.,Feng,J.,Xu,M.,and Li,X*.,“BANet:Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted,Oral)[Paper][Supp][Code]
Li,W.,Li,X*.,Huang,F.,Boura,O.,Wu,F.,Liu,W.,and Wang,Z.,'Progressive Multi-Stage Learning for Discriminative Tracking',IEEE Transactions on Cybernetics(TCYB),2020.(Accepted)[Paper]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,Zhuang Y.,and Han,J.,“End-to-End Video Saliency Detection via A Deep Contextual Spatiotemporal Network,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2020.(Accepted)[Paper]
Qiao,Y.,Cui,J.,Huang,F.,Liu,H.,and Li,X.,'Efficient Style-Corpus Constrained Learning for Photorealistic Style Transfer,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Li,B.,Tian,J.,Zhang,Z.,Feng,H.,and Li,X*.,'Multitask Non-AutoregressiveModel for Human Motion Prediction,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Abdul Jabbar and Li,X*.,“A Survey on Generative Adversarial Networks:Variants,Applications,and Training,'ACM Computing Surveys,2020.(Minor Revision)[Paper]
Wu,X.,Zhang,Q.,Wu,Y.,Wangle,H.,Li,S.,Li,B.,Sun,L.,and Li,X*.,'F3A-GAN:Facial Flow for Face Animation with Generative Adversarial Networks,'IEEE Transactions on Image Processing(TIP),2020.(Under review)
Feng,J.,Li,S.,and Li,X*.,“Tamed Warping Network for Semantic Video Segmentation”,IEEE Transactions on Image Processing(TIP),2020.(Under Review)
Fu,Y,Wu,X.,Li,X*.,et al.,'Semantic Neighborhood-Aware Deep Facial Expression Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Wu,Y.,Li,X*.,et al.,'Adaptive Graph Representation Learning for Video Person Re-identification,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Wu,H.Q.,Tian,J.,Li.B.,Fu,Y.J.,and Li,X*.,'Condition-aware Comparison Scheme for Gait Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Sun,P.,Lin,P.,Li,X*.,and Cheng,G*.“Real-Time Semantic Segmentation Network Search via Graph-guided Module and Dense-Connected Fusion Cell“,International Journal of Computer Vision(IJCV),2020.(Under Review)
Ji,Z.,Zhao,Y.,Pang,Y.,Li,X.,and Han J.,“Deep attentive video summarization with distribution consistency learning,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2020.(Accepted)[Paper]
Huang,F.,Cui,J.,Li,W.,Fu,Y.,Huang,S.,and Li,X*.,'Unified Curiosity-Driven Learning with Smoothed Intrinsic Reward Estimation',Pattern Recognition(PR),2020.(Major Revision)
Li,X*.,Cui,J.,Pi,T.,et al.,“Self-Paced Boosting Framework for Effective and Robust Classification“,Journal of Machine Learning Research(JMLR),2020.(Under Review)
Sun,P.,Lin，P.,Li,X*.,and Cheng,G.,“Real-Time Semantic Segmentation Network Search via Graph-guided Module and Dense-Connected Fusion Cell“,International Journal of Computer Vision(IJCV),2020.(Under Review)
Sun,P.,Lin,P.,Cheng,G.,Shi,J.,Zhang,J.,and Li,X*.,'OVSNet:Towards One-Pass Real-Time Video Object Segmentation,'IEEE Transactions on Image Processing(TIP),2020.(Major Revision)
Yang,X.,Deng,H.,Wang,Q.,Wang,Z.,Li,X.,and Li,H.,'Pedestrian Re-identification Based on Multi-view Decomposition,'IEEE Transactions on Image Processing(TIP),2020.(Under Review)
Ji,W.,Li,X*.,Wu,F.,Pan,Z.,and Zhuang Y.,'Human-centric Clothing Segmentation via Deformable Semantic Locality-Preserving Network',IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2020.(Accepted)[Paper]
Ji,W.,Li,X*.,et al.,'Context-aware Graph Label Propagation Network for Saliency Detection,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper]
Tian,Y.,Chen,T.,Cheng,G.,Yu,S.,Yang,T.,Li,X.,Li,J.,and Yang,B.,“Global Context Assisted Structure-aware Vehicle Retrieval,'IEEE Transactions on Intelligent Transportation Systems(TITS),2020.(Accepted)
Jiang,X.,Zhang,L.,Lv,P.,Guo,Y.,Zhu,R.,Li,Y.,Pang,Y.,Li,X.,Zhou,B.,and Xu M.,“Learning Multi-Level Density Maps for Crowd Counting,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2019.(Accepted)[Paper]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,and Zhuang,Y.,'Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Saliency Results][提取码:p7ue][Paper]
Zhang,Y.,Li,X*.,and Zhang,Z.,'Efficient Person Search via Expert-Guided Knowledge Distillation',IEEE Transactions on Cybernetics(TCYB),2019.(Accepted)[Paper]
Man,Y.,Huang,Y.,Feng,J.,Li,X*.,and Wu,F.,“Deep Q Learning Driven CT Pancreas Segmentation with Geometry-Aware U-Net,'IEEE Transactions on Medical Imaging(TMI),2019.(Accepted)[Paper]
Wu,Y.,Ji,W.,Li,X*.,Wang,G.,and Yin,J.,'Context-Aware Deep Spatio-Temporal Network for Hand Pose Estimation from Depth Images',IEEE Transactions on Cybernetics(TCYB),2019.(Accepted)[Paper]
Xu,M.,Su,H.,Li,Y.,Li,X.,Liao,J.,Niu,J.,Lv,P.,and Zhou,B.,“Stylize Aesthetic QR Code,'IEEE Transactions on Multimedia(TMM),2019.(Accepted)[Paper]
Huang,S.,Li,X*.,Zhang,Z.,Wu,F.,and Han,J.,'User-Ranking Video Summarization with Multi-Stage Spatio-Temporal Representation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Paper]
Man,Y.,Wen,X.,Li,X*.,and Kitan,Y.,“GroundNet:Monocular Ground Plane Estimation with Geometric Consistency,”Proceedings of ACM International Conference on Multimedia(ACM MM),2019.(Oral,Accepted)[Paper]
Li,B.,Li,X*.,Zhang,Z.,and Wu,F.,“Spatio-Temporal Graph Routing for Skeleton-based Action Recognition,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2019.(Accepted)[Paper]
Zhang,Y.,Li,X*.,and Zhang,Z.,“Learning A Key-Value Memory Co-Attention Matching Network for Person ReIdentification,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2019.(Accepted)[Paper]
Huang,S.,Li,X*.,Cheng,Z.,Zhang,Z.,and Hauptmann,A.,“GNAS:A Greedy Neural Architecture Search Method for Multi-Attribute Learning,”Proceedings of ACM International Conference on Multimedia(ACM MM),2018.(Oral,Accepted)[Paper]
Shen,Y.,Li,X*.,Zhao,X.,Zhang,Z.,Wu,F.,Wang,J.,Zhuang,Y.,and Li,X.,'A bilinear ranking SVM for knowledge based relation prediction and classification',IEEE Transactions on Big Data(TBD),2018.(Accepted)[Paper]
Ji,W.,Li,X*.,Zhuang,Y.,Bourahla,O.E.F.,Ji,Y.,Li,S.,and Cui,J.,'Semantic Locality-Aware Deformable Network for Clothing Segmentation',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Zhao,L.,Meng,D.,Li,M.,Wang,J.,Li,X*.,Zhang,Z.,Zhuang,Y.,and Tu,Z.,'Deep Convolutional Neural Networks with Merge-and-Run Mappings',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Hu,Y.,Li,J.,Li,X*.,and Pan,G.,'Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Wang,H.,Zhao,H.,Li,X*.,and Tan,X.,'Progressive Blockwise Knowledge Distillation for Neural Network Acceleration',International Joint Conference on Artificial Intelligence(IJCAI),2018.(Accepted)[Paper]
Qi,Z.,Wang,T.,Song,G.,Hu,W.,Li,X*.,and Zhang,Z.,'Deep Air Learning:Interpolation,Prediction,and Feature Analysis of Fine-grained Air Quality',IEEE Transactions on Knowledge and Data Engineering(TKDE),2018.(Accepted)[Paper]
Li,X*.,Zhao,L.,Ji,W.,Wu,Y.,Wu,F.,Tao,D.,and Reid,I.,“Multi-Task Structure-aware Context Modeling for Robust Keypoint-based Object Tracking“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2018.[Paper]
Wang,F.,Zhao,L.,Li,X*.,et al.,“Geometry-Aware Scene Text Detection with Instance Transformation Network”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.[Code][Paper]
Yu,S.,,Ji,R.,Wang,C.,Li,X.,and Li,X.,'Weakly Supervised Object Detection via Object-Specific Pixel Gradient',IEEE Transactions on Neural Network and Learning Systems(TNNLS),2018.(Accepted)[Paper]
Zeng,J.,Liu,S.,Li,X*.,Mahdi,D.,and Wu,F.,'Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling',IEEE Transactions on Image Processing(TIP),2018.[Paper]
Mao,C.,Li,Y.,Zhang,Z.,Zhang,Y.,and Li,X.,“Multi-Channel Pyramid Person Matching Network for Person Re-Identification,”Proceedings of AAAI Conference on Artificial Intelligence(AAAI),2018.[Paper]
Yu,Y.,Ji,Z.,Li,X*.,Guo,J.,Zhang,Z.,Wu,F.,Ling,H.,and Wu,F.,'Transductive Zero-Shot Learning With a Self-Training Dictionary Approach',IEEE Transactions on Cybernetics(TCYB),2017.[Paper]
Huang,S.,Li,X*.,Zhang,Z.,Wu,F.,Gao,S.H.,and Ji,R.,'Body Structure Aware Deep Crowd Counting',IEEE Transactions on Image Processing(TIP),2017.[Paper]
Zhao,L.,Li,X*.,Wang,J.,and Zhuang,Y.,'Deeply-Learned Part-Aligned Representations for Person Re-Identification',International Conference on Computer Vision(ICCV),2017.[Code][Paper]
Li,X*.,Pi,T.,Zhao,X.,Zhang,Z.,Li,X.,and Yu,P.,'Learning Bregman Distance Functions for Structural Learning to Rank',IEEE Transactions on Knowledge and Data Engineering(TKDE),2017.[Paper]
Wei,L.,Zhao,S.,Bourahla,O.,Li,X*.,and Wu,F.,'Group-wise Deep Co-saliency Detection',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
Zhao,S.,Li,X*.,and Bourahla,O.,'Deep Optical Flow Estimation Via Multi-Scale Correspondence Structure Learning',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
Pi,T.,Li,X*.,and Zhang,Z.,'Boosted Zero-Shot Learning with Semantic Correlation Regularization',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Paper]
He,Z.,Li,X*.,Zhang,Z.,Wu,F.,Geng,X.,Zhang,Y.,Yang,M.,and Zhuang,Y.,'Data-Dependent Label Distribution Learning for Age Estimation',IEEE Transactions on Image Processing(TIP),2017.[Paper]
Wang,H.,Wu,F.,Lu,W.,Yang,Y.,Li,X.,Li,X.,and Zhang,Y.,'Identifying Objective and Subjective Words via Topic Modeling',IEEE Transactions on Neural Network and Learning Systems(TNNLS),2017.[Paper]
Li,X.,Zhao,L.,Wei,L.,Yang,M.,Wu,F.,Zhuang,Y.,Ling,H.,and Wang,J.,'DeepSaliency:Multi-Task Deep Neural Network Model for Salient Object Detection',IEEE Transactions on Image Processing(TIP),2016.[Code][Paper]
Huang,S.,Li,X*.,Zhang,Z.,He,Z.,Wu,F.,Liu,W.,Tang,J.,and Zhuang,Y.,'Deep Learning Driven Visual Path Prediction from a Single Image',IEEE Transactions on Image Processing(TIP),2016.[Paper]
Zhuang,Y.,Song,J.,Wu,F.,Li,X.,Zhang,Z.,Rui,R.,'Multi-modal Deep Embedding via Hierarchical Grounded Compositional Semantics,'IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2016.
Pi,T.,Li,X*.,Zhang,Z.,Meng,D.,Wu,F.,Xiao,J.,and Zhuang,Y.,'Self-Paced Boost Learning for Classification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Paper]
Zhang,Y.,Li,X*.,Zhao,L.,and Zhang,Z.,'Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Code]
Wang,Z.,Wu,F.,Xiao,J.,Li,X.,Zhang,Z.,and Zhuang,Y.,Diversely Image Captioning via GroupTalk',International Joint Conference on Artificial Intelligence(IJCAI),2016.
Wu,F.,Wang,Z.,Lu,W.,Li,X.,Yang,Y.,Luo,J.,and Zhuang Y.,'Regularized Deep Belief Network for Image Attribute Detection',IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2016.[Paper]
Li,X*.,Shen,C.,Dick,A.,Zhang,Z.,and Zhuang Y.,'Online Metric-Weighted Linear Representations for Robust Visual Tracking',IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2016.[Paper]
Zhao,X.,Li,X*.,Zhang,Z.,Shen,C.,Zhuang Y.,Gao,L.,and Li,X.,“Scalable Linear Visual Feature Learning Via Online Parallel Nonnegative Matrix Factorization,'IEEE Transactions on Neural Network and Learning Systems(TNNLS),2016.[Paper]
Zhou,X.,Li,X*.,and Hu,W.,“Learning A Superpixel-Driven Speed Function for Level Set Tracking,'IEEE Transactions on Cybernetics(TCYB),2016.[Paper]
Li,X.,Zhao,X.,Zhang,Z.,Wu,F.,Zhuang,Y.,and Wang,J.,'Joint Multilabel Classification with Community-Aware Label Graph Learning',IEEE Transactions on Image Processing(TIP),2016[Paper]
Yuan,C.,Wu,B.,Li,X.,Hu,W.,Maybank,S.,and Wang,F.,“Fusing R Features and Local Features with Context-aware Kernels for Action Recognition,”International Journal of Computer Vision(IJCV),2016.
Li,P.,Ling,H.,Li,X.,and Liao,C.,'3D Hand Pose Estimation Using Randomized Decision Forest with Segmentation Index Points',Proceedings of International Conference on Computer Vision(ICCV),2015.[Paper]
Zhao,X,Li,X*.,and Zhang,Z.,“Joint Structural Learning To Rank With Deep Linear Feature Learning,”IEEE Transactions on Knowledge and Data Engineering(TKDE),2015.[Paper]
Fang,H.,Wu,F.,Li,X.,Tang,S.,Lu,W.,Yang,Y.,Zhu,W.,and Zhuang,Y.,“Aspect learning for multimedia summarization via non-parametric Bayesian,'IEEE Transactions on Circuits and Systems for Video Technology(TCSVT),2015.
Tan,X.,Wu,F.,Li,X.,Tang,S.,Lu,W.,and Zhuang,Y.,“Structured Visual Feature Learning for Classification via Supervised Probabilistic Tensor Factorization,”IEEE Transactions on Multimedia(TMM),2015.[Paper]
Wu,F.,Jiang X.,Li,X.,Tang,S.,Lu,W.,Zhang,Z.,and Zhuang,Y.,“Cross-Modal Learning to Rank via Latent Joint Representation,”IEEE Transactions on Image Processing(TIP),2015.[Paper]
Jiang,X.,Wu,F.,Li,X.,Zhao,Z.,Lu,W.,Tang,S.,and Zhuang,Y.,'Deep Compositional Cross-modal Learning to Rank via Local-Global Alignment,'Proceedings of ACM International Conference on Multimedia(ACM MM),2015.
Zhao,L.,Li,X*.,Xiao,J.,Wu,F.,and Zhuang,Y.,“Metric Learning-Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking,”Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence(AAAI),2015.(Oral Presentation,Code Link)[Paper]
Wu,F.,Song J.,Yang,Y.,Li,X.,Zhang,Z.,and Zhuang,Y.,“Structured embedding via pairwise relations and long-range interactions,”Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence(AAAI),2015.
Pi,T.,Li,X*.,and Zhang,Z.,“Structural Bregman Distance Functions Learning to Rank with Self-Reinforcement,”Proceedings of IEEE International Conference on Data Mining(ICDM),2014.(9.6%Acceptance Rate)[Paper]
Wang,F.,Wu,F.,Song,J.,Li,X.,and Zhuang,Y.,“Multi-modal Mutual Topic Reinforce Modeling for cross-media retrieval,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Lu,X.,Wu,F.,Li,X.,Zhang,Y.,Lu,W.,Wang,D.,and Zhuang,Y.,“Learning Multimodal Neural Network with Ranking Examples,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Wang,H.,Wu,F.,Li,X.,Tang S.,and Zhuang,Y.,“Jointly Discovering Fine-grained and Coarse-grained Sentiments via Topic Modeling,”Proceedings of ACM International Conference on Multimedia(ACM MM),2014.
Li,X*.,Hu,W.,Shen,C.,Dick,A.,and Zhang,Z.,“Context-aware hypergraph construction for robust spectral clustering”，IEEE Transactions on Knowledge and Data Engineering(TKDE),DOI:10.1109/TKDE.2013.126,2013.[Paper]
Li,X*.,Hu,W.,Shen,C.,Dick,A.,Zhang,Z.,and Hengel,A.v.d.,“A survey of appearance models in visual object tracking”，ACM Transactions on Intelligent Systems and Technology(TIST),4(4),pp.1-58,2013.(2014 IF=9.39)[Paper]
Li,X*.,Dick,A.,Shen,C.,Hengel,A.v.d.,and Wang,H.,“Incremental learning of 3D-DCT compact representations for robust visual tracking”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),35(4):863-881,2013.[Paper]
Li,X*.,Dick,A.,Shen,C.,Zhang,Z.,Hengel,A.v.d.,and Wang,H.,“Visual tracking with spatio-temporal Dempster-Shafer information fusion”,IEEE Transactions on Image Processing(TIP),22(8),3028-3040,2013.[Paper]
Hu,W.,Tian,G.,Li,X*.,and Maybank,S.，“An improved hierarchical dirichlet process-hidden markov model and its application to trajectory modeling and retrieval”，International Journal of Computer Vision(IJCV),105(3),pp.246-268,2013.
Yuan,C.,Li,X.,Hu,W.,Ling,H.,and Maybank,S.,“Modeling geometric-temporal context with directional pyramid co-occurrence for action recognition”,IEEE Transactions on Image Processing(TIP),23(2),pp.658-672,2013.[Paper]
Hu,W.,Li,X*.,Tian,G.,Maybank,S.,and Zhang,Z.,“An incremental DPMM-based method for trajectory clustering,modeling and retrieval”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),35(5),pp.1051-1065,2013.[Paper]
Hu,W.,Li,X*.,Luo,W.,Zhang,X.,Maybank,S.,and Zhang,Z.,“Single and multiple object tracking using log-euclidean riemannian subspace and block-division appearance model”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),34(12),pp.2420-2440,2012.[Paper]
Hu,W.,Li,X*.,Zhang,X.,Shi,X.,Maybank,S.,and Zhang,Z.,'Incremental Tensor Subspace Learning and Its Applications to Foreground Segmentation and Tracking',International Journal of Computer Vision(IJCV),Vol.91,No.3,pages 303-327,2010.
Chen,Y.,Dick,A.,Li,X*,and Hengel,A.v.d.,“Spatially aware feature selection and weighting for object retrieval”,Image and Vision Computing(IVC),31(12),pp.935–948,2013.
Chen,Y.,Li,X*.,Dick,A.,and Hill,R.,“Ranking consistency for image matching and object retrieval”,Pattern Recognition(PR),47(3),pp.1349–1360 2014.
Li,X*.,Li,Y.,Shen,C.,Dick,A.,and Hengel,A.v.d.,“Contextual hypergraph modeling for salient object detection”,Proceedings of International Conference on Computer Vision(ICCV),2013.[Paper]
Li,X*.,Lin,G.,Shen,C.,Hengel,A.v.d.,and Dick A.,“Learning hash functions using column generation”,Proceedings of International Conference on Machine Learning(ICML),2013.[Paper]
Li,X*.,Shen,C.,Dick,A.,and Hengel,A.v.d.,“Learning compact binary codes for visual tracking”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2013.[Paper]
Yuan,C.,Li,X.,Hu,W.,Ling,H.,and Maybank,S.,“3D R-transform on spatio-temporal interest points for action recognition”，Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2013.
Li,X*.,Shen,C.,Shi,Q.,Dick,A.,and Hengel,A.v.d.,“Non-sparse linear representations for visual tracking with online reservoir metric learning”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2012.[Paper]
Li,X*.,Dick,A.,Wang,H.,Shen,C.,and Hengel,A.v.d.,“Graph mode-based contextual kernels for robust SVM tracking”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2011.[Paper]
Sahbi,H.and Li X*.,“Context Based Support Vector Machines for Interconnected Image Annotation”,Proceedings of Asian Conference on Computer Vision(ACCV),2010.(Oral Presentation,Best Paper Award)
Sahbi,H.and Li X*.,“Context Dependent SVMs for Interconnected Image Network Annotation”,Proceedings of ACM International Conference on Multimedia(ACM MM),2010.
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,“Robust visual tracking based on an effective appearance model”,Proceedings of European Conference on Computer Vision(ECCV),2008.
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,Zhu,M.,and Chen J.,“Visual tracking via incremental Log-Euclidean Riemannian subspace learning”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2008.[Paper]
Li,X*.,Hu,W.,Zhang,Z.,and Zhang X.,“Robust visual tracking based on incremental tensor subspace learning”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2007.[Paper]
Zhu,M.,Hu,W.,and Li,X.,“Customizable Instance-Driven Webpage Filtering Based on Semi-Supervised Learning”,Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence(WI),2007.
Zhu,M.,Hu,W.,Wu,O.,Li,X.,and Zhang,X.,“User Oriented Link Function Classification”,Proceedings of International World Wide Web Conference(WWW),2008.
Zhang,X.,Hu,W.,Maybank,S.,and Li,X.,“Graph based discriminative learning for robust and efficient object tracking”,Proceedings of IEEE International Conference on Computer Vision(ICCV),2007.(Oral presentation)
Zhang,X.,Hu,W.,Maybank,S.,and Li,X.,“Sequential particle swarm optimization for visual tracking”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2008.
Feng,J.,Li,S.,Li,X*.,et al.,“TapLab:A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge“，IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),2020.(Accepted)[Code][Paper]
Qin,Z.,Wang H.,and Li,X*.,“Ultra Fast Structure-aware Deep Lane Detection”,Proceedings of EuropeanConference on Computer Vision(ECCV）,2020.(Accepted)[Code][Paper]
Wang,F.,Chen,Y.,Wu,F.,and Li,X*.,“TextRay:Contour-based Geometric Modeling for Arbitrary-shaped Scene Text Detection,”Proceedings of ACM International Conference on Multimedia(ACM MM),2020.(Accepted)[Code][Paper]
Wu,Y.,Li,X*.,et al.,'Adaptive Graph Representation Learning for Video Person Re-identification,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper][Code]
Lin,P.,Sun P.,Li,X*.,et al.,“Graph-guided Architecture Search for Real-time Semantic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted)[Paper][Code]
Chen,Y.F.,Li,X*.,et al.,“BANet:Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2020.(Accepted,Oral)[Paper][Supp][Code]
Fu,Y,Wu,X.,Li,X*.,et al.,'Semantic Neighborhood-Aware Deep Facial Expression Recognition,'IEEE Transactions on Image Processing(TIP),2020.(Accepted)[Paper][Code]
Wei,L.,Zhao,S.,Omar,B.,Li,X*.,Wu,F.,and Zhuang,Y.,'Deep Group-wise Fully Convolutional Network for Co-saliency Detection with Graph Propagation',IEEE Transactions on Image Processing(TIP),2019.(Accepted)[Saliency Results][提取码:p7ue]
Huang,S.,Li,X*.,et al.,“Stacked Pooling:Improving Crowd Counting by Boosting Scale Invariance”,arXiv:1808.07456,2018.[Code]
Wang,F.,Zhao,L.,Li,X*.,et al.,“Geometry-Aware Scene Text Detection with Instance Transformation Network”,Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.[Code]
Wei,L.,Zhao,S.,Bourahla,O.,Li,X*.,and Wu,F.,'Group-wise Deep Co-saliency Detection',International Joint Conference on Artificial Intelligence(IJCAI),2017.[Saliency Results][提取码:p7ue]
Zeng,J.,Liu,S.,Li,X*.,Mahdi,D.,and Wu,F.,'Deep Context-Sensitive Facial Landmark Detection With Tree-Structured Modeling',IEEE Transactions on Image Processing(TIP),2018.[Code]
Zhao,L.,Li,X*.,Wang,J.,and Zhuang,Y.,'Deeply-Learned Part-Aligned Representations for Person Re-Identification',International Conference on Computer Vision(ICCV),2017.[Code]
Li,X.,Zhao,L.,Wei,L.,Yang,M.,Wu,F.,Zhuang,Y.,Ling,H.,and Wang,J.,'DeepSaliency:Multi-Task Deep Neural Network Model for Salient Object Detection',IEEE Transactions on Image Processing(TIP),2016.[Code]
Zhang,Y.,Li,X*.,Zhao,L.,and Zhang,Z.,'Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification',International Joint Conference on Artificial Intelligence(IJCAI),2016.[Code]
Zhao,L.,Li,X*.,Xiao,J.,Wu,F.,and Zhuang,Y.,“Metric Learning-Driven Multi-Task Structured Output Optimization for Robust Keypoint Tracking,”Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence(AAAI),2015.(Oral,Code)
Li,X.,Li,Y.,Shen,C.,Dick,A.,and Hengel,A.v.d.,“Contextual hypergraph modeling for salient object detection”,Proceedings of International Conference on Computer Vision(ICCV),2013.[Code]
Li,X.,Dick,A.,Shen,C.,Hengel,A.v.d.,and Wang,H.,“Incremental learning of 3D-DCT compact representations for robust visual tracking”,IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI),35(4):863-881,2013.[Code]
Li,X.,Lin,G.,Shen,C.,Hengel,A.v.d.,and Dick A.,“Learning hash functions using column generation”,Proceedings of International Conference on Machine Learning(ICML),2013.[Code]
第七届中国图象图形学会理事，担任国际模式识别领域顶级会议CVPR 2020的领域主席（Area Chair），国际计算机视觉领域顶级会议ICCV 2019和ECCV 2020的领域主席（Area Chair）, 国际多媒体研究领域顶级会议ACM Multimedia 2020和2021的领域主席（Area Chair），国际神经信息处理会议ICONIP 2020的领域主席（Area Chair），以及人工智能领域顶级会议IJCAI 2021和2019的领域主席（SPC），国际模式识别会议ICPR 2020的领域主席（Area Chair）。担任神经网络和学习系统领域顶级期刊《IEEE Transactions on Neural Networks and Learning Systems》的Associate Editor（2019.1—）， 图像视频处理领域顶级期刊《IEEE Transactions on Circuits and Systems for Video Technology》的Associate Editor（2019.1—）， 认知类脑系统临湖顶级期刊《IEEE Transactions on Cognitive and Developmental System》的Associate Editor（2021.1—），神经计算领域知名国际刊物《Neurocomputing》和《Neural Processing Letters》的Associate Editor，中国图形图像学报编委，国际模式识别大会ICPR 2018的领域主席（Area Chair），中国模式识别大会PRCV 2019和PRCV2020的领域主席（Area Chair）。同时担任多个计算机视觉和模式识别方面的国际刊物和国际会议的审稿人和程序委员。本人担任很多国际著名的学术会议的程序委员（如ICML2018、CVPR2018、IJCAI 2017、NIPS 2017、ICCV 2017、CVPR 2017等）。