个人简历

2006年于浙江大学获得计算机科学与技术专业工学博士学位，攻读博士期间获得“微软学者”称号。
主要研究兴趣包括图像信息处理、机器视觉与模式识别、视觉大数据、嵌入式计算机视觉、自然人机交互等，在IEEE T-PAMI,IEEE T-IP,T-MM,T-SMCB,Information Sciences,Pattern Recognition,CVPR,ECCV and ACM MM等在内的会议和期刊上发表论文120余篇。
2015，新加坡国立大学，访问教授
2015-现在，浙江大学，教授
2012–2014，美国华盛顿大学，访问学者
2009,新加坡南洋理工大学，访问教授
视觉感知教育部-微软重点实验室（浙江大学）副主任
教学与课程
本科生课程：
图像信息处理，48学时
计算机视觉，32学时
奖励荣誉
2004，微软学者
2010，求是青年学者
2012，浙江省151人才第三层次
2012，浙江大学信息学部优秀青年教师（一等奖）
2013，“十一五”浙江省自然科学基金优秀论文
2012，浙江省科技奖二等奖（第6）
2014，浙江省科技奖一等奖（第4）
2016，浙江省151人才计划第二层次
2019，中国产学研合作创新成果一等奖（第3）
工作学习
工作机会：
课题组科研氛围良好，师生关系融洽，欢迎海内外青年学者加盟，加盟方式灵活，博士后、特聘研究员、教师等均可商榷，待遇从优，欢迎联系。
学习机会：
课题组为学生提供了良好的学习和实践环境，秉持知行合一的治学态度和踏实老实扎实的工作作风，努力培养领域内的佼佼者。近年来课题组毕业生中有的已经成为美国大学的教授，有的已经成为工业界领军企业的技术骨干，欢迎优秀学子加入课题组学习。
访问实习：
欢迎国内外在读研究生或在职青年教师来课题组实习、访问、交流，开展各种形式的学术合作，课题组将提供访问期间工作学习生活所需资源，支持进行高水平学术研究，访问期间的合作成果可以以贵方为第一单位发表。
开放资源
2017年9月，复旦大学，3D视觉交互关键技术，slides下载（MacOS下keynote）
ZJU-VIPA Line Drawing Face Database,（下载）,相关论文M.Song,et al.,Image-based sketch-to-photo synthesis via online coupled dictionary learning,Information Sciences(INS),193:233-246,2012.
VIPA-中国美院古文字识别及转换（下载）
中文普通话唇语识别数据集（下载）
'Neural Style Transfer:A Review'对应代码、预训练模型
炼知引擎框架KAmalEngine项目主页
“Deep Model Transferability from Attribution Maps”对应代码

研究领域

计算机视觉
模式识别与人工智能
机器学习""

近期论文

Journal papers
[1].Yunzhi Hao,Xinchao Wang,Xingen Wang,Xinyu Wang,Chun Chen,Mingli Song,Walking with Attention:Self-guided Walking for Heterogeneous Graph Embedding,IEEE Transactions on Knowledge and Data Engineering(TKDE).Acceptance.
[2].Wenwen Pan,Xinyu Wang,Mingli Song,Chun Chen,Survey on Generating Adversarial Examples,Journal of Software,31(1):67-81,2020.
[3].Zunlei Feng,Weixin Liang,Daocheng Tao,Li Sun,Anxiang Zeng,Mingli Song,CU-Net:Component Unmixing Network for Textile Fiber Identification,International Journal of Computer Vision.127,1443-1454,2019.
[4].Yongcheng Jing,Yezhou Yang,Zunlei Feng,Jingwen Ye,Yizhou Yu,Mingli Song,Neural Style Transfer:A Review,IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS,26(11):3365-3385,2019.
[5].Jingwen Ye,Yongcheng Jing,Xinchao Wang,Kairi Ou,Dacheng Tao,Mingli Song,Edge-Sensitive Human Cutout with Hierarchical Granularity and Loopy Matting Guidance,IEEE TRANSACTIONS ON IMAGE PROCESSING,29:1177-1191,2019.
[6].Zunlei Feng,Zhenyun Yu,Yongcheng Jing,Sai Wu,Mingli Song,Yezhou Yang,JunXiao Jiang,Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition,ACM Transactions on Multimedia Computing,Communications,and Applications(TOMM),15(2s):61,2019.
[7].R.Zhou,H.Wu,X.Zhang,L.Ye,H.Shan,X.Song,M.Song,S.Zheng,Efficacy and Safety of Botulinum Toxin Type A Injection in Patients with Bilateral Trapezius Hypertrophy,Aesthetic Plastic Surgery,42(6):1664-1671,2018.
[8].J.Lei,Q.Luan,X.Liu,D.Tao,M.Song,Action Parsing Driven Video Summarization Based on Reinforcement Learning,IEEE Transactions on Circuits and Systems for Video Technology,29(7):2126-2137,2019.
[9].J.Lei,X.Gao,Z.Feng,H.Qiu,M.Song,Scale Insensitive and Focus Driven Mobile Screen Defect Detection in Industry,Neurocomputing,294:72-81,2018.
[10].J.Lei,X.Gao,J.Song,X.Wang,M.Song,Survey of Deep Neural Network Model Compression,Journal of Software(Chinese),29(2):251-266,2018.
[11].Z.Feng,C.Fu,W.Yuan,J.Lei,M.Song,Finding Intrinsic Color Themes in Images with Human Visual Perception,Neurocomputing,273,395-402,2018.
[12].Y.S.Rawat,M.Song,M.S.Kankanhali,A Spring-Electric Graph Model for Socialized Group Photography,IEEE Transactions on Multimedia,20(3):754-766,2018.
[13].Li Sun,Ke Chen,Mingli Song,Dacheng Tao,Gang Chen,Chun Chen,Robust,Efficient Depth Reconstruction with Hierarchical Confidence-Based Matching,IEEE Transactions on Image Processing,26(7):3331–3343,2017
[14].Yinting Wang,Zhenyang Wang,Dapeng Tao,Shaojie Zhuo,Xianghua Xu,Shiliang Pu,Mingli Song,AllFocus:Patch based video out-of-focus blur reconstruction,IEEE Transactions on Circuits and Systems for Video Technology,online publish,April,2016.
[15].Tongliang Liu,Dacheng Tao,Stephen Maybank,Mingli Song,Algorithm-Dependent Generalization Bounds for Multi-Task Learning,IEEE Transactions on Pattern Analysis and Machine Intelligence,39(2):227-241,2016.
[16].Haoming Chen,Chao Wei,Mingli Song,Ming-Ting Sun,Kevin Lau,Capture-to-display delay measurement for visual communication applications,APSIPA Transactions on Signal and Information Processing,vol.4,online publish,2015.
[17].X.Song,L.Sun,J.Lei,G.Yuan,M.Song,Event-based Large Scale Surveillance Video Summarization,Neurocomputing,vol.187,pp.66-74,2016.
[18].D.Tao,J.Cheng,M.Song,X.Lin,Manifold Ranking-Based Matrix Factorization for Saliency Detection,IEEE Transactions on Neural Networks and Learning Systems(T-NNLS),27(6):1122-1134,2016.
[19].H.Liang,R.Liang,M.Song,X.He,Coupled Dictionary Learning for the Detail-Enhanced Synthesis of 3-D Facial Expressions,IEEE Transactions on Cybernetics(T-CYB),46(4):890—901,2016.
[20].Binbin Tang,Xiao Liu,Jie Lei,Mingli Song,Dapeng Tao,Shuifa Sun,Fangmin Dong,DeepChart:Combining deep convolutional networks and deep belief networks in chart classification,Signal Processing,124:156-161,2016.
[21].X.Liu,M.Song,et al.,Random Shape Prior Forest For Multi-Class Object Segmentation,IEEE Transactions on Image Processing(T-IP),24(10):3060-3070,2015.
[22].Y.Wang,M.Song,et al.,Where2Stand:A Human Position Recommendation System for Souvenir Photography,ACM Transactions on Intelligent System and Technology(TIST),7(1):NO.9,2015..
[23].Ya Li,Xinmei Tian,Mingli Song,Dacheng Tao,Multi-Task Proximal Support Vector Machine,Pattern Recognition(PR),48(10):3249-3257,2015.
[24].M.Strathman,Y.Liu,E.G.Keeler,M.Song,U.Baran,J.Xi,M.-T.Sun,R.Wang,X.Li and L.Y.Lin,MEMS scanning micromirror for optical coherence tomography,Biomedical Optical Express,6(1):211-224,2015.
[25].X.Liu,M.Song,et al.,Random Forest Construction with Robust Semi-supervised Node Splitting,IEEE Transactions on Image Processing(T-IP),24(1):471-483,2015.
[26].M.Song,D.Tao,S.Sun,C.Chen and S.J.Maybank,Robust 3D Face Landmark Localization based on Local Coordinate Coding,IEEE Transactions on Image Processing(T-IP),23(12):5108-5122,2014.
[27].Y.Wang,D.Tao,M.Song,et al.,Video Tonal Stabilization Color States Smoothing,IEEE Transactions on Image Processing(T-IP),23(11):4838-4849,2014.
[28].L.Sun,M.Song,Z.Liu,M.-T.Sun,Real-Time Gaze Estimation with Online Calibration,IEEE Multimedia,21(4):28-37,2014.
[29].J.Lei,M.Song,et al.,Whole-Body Humanoid Robot Imitation with Pose Similarity Evaluation,Signal Processing,vol.108,pp.136-146,2015.
[30].X.Liu,D.Tao,M.Song,et al.,Learning to Track Multiple Targets,IEEE Transactions on Neural Networks and Learning Systems(T-NNLS),26(5):1060-1073,2015.
[31].M.Song,C.Chen,S.Wang,Y.Yang,Low-Level and High-Level Prior Learning for Visual Saliency Estimation,Information Sciences(INS),vol.281,pp.573-585,2014.
[32].L.Zhang,M.Song,Y.Yang,Q.Zhao,X.Liu,C.Zhao,and N.Sebe,Weakly supervised photo cropping,IEEE Transactions on Multimedia(T-MM),16(1):94-107,2014.
[33].L.Zhang,M.Song,X.Liu,L.Sun,C.Chen,J.Bu,Recognizing architecture styles by hierarchical sparse coding of blocklets,Information Sciences(INS),vol.254,pp.141-154,2014.
[34].L.Zhang,Y.Han,Y.Yang,M.Song,S.Yan,Q.Tian,Discovering Discriminative Graphlets for Aerial Image Categories Recognition,IEEE Transactions on Image Processing(T-IP),22(12):5071-5084,2013.
[35].L.Sun,M.Song,C.Chen,D.Tao,J.Bu,C.Chen,Motionlet LLC Coding for Discriminative Human Pose Estimation,Multimedia Tools and Applications,73:327-334,2014.
[36].Y.Liang,M.Song,et al.,Colorization for Gray Scale Facial Image by Locality-Constrained Linear Coding,Journal of Signal Processing System,74(1):59-67,2013.
[37].M.Song,D.Tao,J.Bu,C.Chen,Y.Yang,Color-to-Gray based on Chance of Happening Preservation,Neurocomputing,vol.119,pp.222-231,2013.
[38].M.Song,D.Tao,S.Sun,C.Chen,J.Bu,Joint Sparse Learning for 3-D Facial Expression Generation,IEEE Transactions on Image Processing(T-IP),22(8):3283-3295,2013.
[39].L.Zhang,D.Tao,X.Liu,M.Song,C.Chen,Grassmann Multimodal Implicit Feature Selection Multimedia Systems,Multimedia System Journal,20(6):659-674,2013.
[40].Q.Zhao,R.Zhou,X.Zhang,H.Sun,X.Lu,D.Xia,M.Song,Y.Liang,Morphological Quantitative Criteria and Aesthetic Evaluation of Eight Female Han Face Types,Aesthetic Plastic Surgery,37(2):445-453,2013.
[41].L.Zhang,M.Song,et al.,Probabilistic Graphlet Transfer for Photo Cropping,IEEE Transactions on Image Processing(T-IP),21(5):2887-2897,2013.
[42].L.Zhang,M.Song,et al.,Fast Multi-view Segment Graph Kernel for Object Classification,Signal Processing,93(6):1597-1607,2013.
[43].M.Song,et al.,Three-Dimensional Face Reconstruction From a Single Image by a Coupled RBF Network,IEEE Transactions on Image Processing(T-IP),21(5):2887-2897,2012.
[44].X.Deng,X.Liu,M.Song,et al.,LF-EME:Local Features with Elastic Manifold Embedding for Human Action Recognition,Neurocomputing,99:144-153,2012.
[45].X.Liu,M.Song,et al.,Attribute-Restricted Latent Topic Model for Human Identity Recognition in Sparse Camera Network,Pattern Recognition(PR),45(12):4204-4213,2012.
[46].X.Deng,Y.Shen,M.Song,et al.,Video-based non-uniform object motion blur estimation and deblurring,Neurocomputing,86:170-178,2012.
[47].M.Song,et al.,Image-based sketch-to-photo synthesis via online coupled dictionary learning,Information Sciences(INS),193:233-246,2012.
[48].M.Song,et al.,Probabilistic Exposure Fusion,IEEE Transactions on Image Processing(T-IP),21(1):341-357,2012.
[49].Y.Lin,M.Song,et al.,Sparse Coding for Flexible and Robust 3D Facial Expression Synthesis,IEEE Computer Graphics and Applications,32(2):76-88,2012.
[50].J.Yu,W.Bian,M.Song,et al.,Graph based transductive learning for cartoon correspondence construction.Neurocomputing,79:105-114,2012.
[51].T.Sha,M.Song,et al.,Feature Level Analysis for 3D Facial Expression Recognition,Neurocomputing,74:2135-2141,2011.
[52].C.Hong,N.Li,M.Song,et al.,An efficient approach to content-based object retrieval in videos.Neurocomputing 74:3565-3575,2011.
[53].K.Hao,M.Song,et al.,Natural Grayscale Image Colorization via Local Sparse Coding,Journal of CAD/CG,23(8):1401-1408,2011.
[54].X.Huang,Y.Lin,M.Song,et al.,3D Facial Expression Synthesis based on Nonlinear Co-learning,Journal of CAD/CG,23(2):363-370,2011.
[55].J.Liu,M.You,C.Chen,M.Song,Real-time Speech-driven Animation of Expressive Talking Faces,International Journal of General System,40(4):439-455,2011.
[56].M.Song,et al.,Color to Gray:Visual Cue Preservation,IEEE Transactions on Pattern Analysis and Machine Intelligence(T-PAMI),32(9):1537-1552,2010.
[57].M.Song,et al.,Image Ratio Features for Facial Expression Recognition Application,IEEE Transactions on System,Man&Cybernetics,Part B(T-SMCB),40(3):779-788,2010.
[58].M.Song,et al.,Visual Context Boosting for Eye Detection,IEEE Transactions on System,Man&Cybernetics,Part B(T-SMCB),40(6):1460-1467,2010..
[59].Y.Lin,C.Chen,M.Song,et al.,Polar Field based Implicit Surface Reconstruction,Journal of CAD/CG,21(8):1035-1041,2009.
[60].Y.Lin,C.Chen,M.Song,et al.,Dual-RBF based Surface Reconstruction,The Visual Computer,25:599-607,2009.
[61].M.Song,et al.Tone Mapping for HDR Image using a Probabilistic Model,Journal of Software,20(3):734-743,2009.
[62].D.Tao,M.Song,et al.,Bayesian Tensor Approach for 3D Face Modelling,IEEE Transactions on CSVT(T-CSVT),18(10):1397-1410,2008.
[63].N.Li,C.Chen,Q.Wang,M.Song,et al.,Avatar Motion Control by Natural Body Movement Via Camera,Neurocomputing,72:648-652,2008.
[64].M.Song,et al.,Gaussian mixture model based approach on color transfer,Journal of CAD/CG,20(11):1471-1486,1482,2008.
[65].M.Song,et al.,A robust multimodal approach for emotion recognition,Neurocomputing,71:1913-1920,2008.
[66].M.Song,et al.,Local Laplacian for Face Detail Transfer,Journal of CAD/CG,20(1):50-54,2008.
[67].M.Song,et al.,A Generic Framework for Efficient 2D and 3D Facial Expression Analogy,IEEE Transactions on Multimedia(T-MM),9(7):1384-1395,2007.
[68].M.Song,et al.An Efficient Method of Face Texture Mapping Directed to Portable Devices,Journal of CAD/CG,17(12):2670-2675,2005.
Conference papers
[1].Jie Song*,Haofei Zhang*,Xinchao Wang,Mengqi Xue,Ying Chen,Li Sun,Dacheng Tao,Mingli Song,Tree-like Decision Distillation,CVPR 2021.Acceptance.
[2].Chengchao Shen,Youtan Yin,Xinchao Wang,Jie Song,Xubin Li,Mingli Song,Training Generative Adversarial Networks in One Stage,CVPR 2021.Acceptance.
[3].Yongcheng Jing,Yiding Yang,Xinchao Wang,Mingli Song,Dacheng Tao,Amalgamating Knowledge from Heterogeneous Graph Neural Networks,CVPR 2021.
[4].Yongcheng Jing,Yiding Yang,Xinchao Wang,Mingli Song,Dacheng Tao,Turning Frequency to Resolution:Video Super-resolution via Event Cameras,CVPR 2021.
[5].Zunlei Feng,Zhonghua Wang,Xinchao Wang,Xiuming Zhang,Lechao Cheng,Jie Lei,Yuexuan Wang,Mingli Song,Edge-competing Pathological Liver Vessel Segmentation with Limited Labels,AAAI 2021.Acceptance.
[6].Chengchao Shen,Xinchao Wang,Youtan Yin,Jie Song,Sihui Luo,Mingli Song,Progressive Network Grafting for Few-Shot Knowledge Distillation,AAAI 2021.Acceptance.
[7].Zunlei Feng,Lechao Cheng,Xinchao Wang,Xiang Wang,Yajie Liu,Xiangtong Du,Mingli Song,Visual Boundary Knowledge Translation for Foreground Segmentation,AAAI 2021.Acceptance.
[8].Zunlei Feng,Yongming He,Xinchao Wang,Xin Gao,Jie Lei,Cheng Jin,Mingli Song,One-sample Guided Object Representation Disassembling,NeurIPS 2020.Acceptance.
[9].Yiding Yang,Zunlei Feng,Mingli Song,Xinchao Wang,Factorizable Graph Convolutional Networks,NeurIPS 2020.Acceptance.
[10].Shuai Xie,Zunlei Feng,Ying Chen,Songtao Sun,Chao Ma,Mingli Song,DEAL:Difficulty-aware Active Learning for Semantic Segmentation,ACCV 2020.
[11].Haiyang Wang,Xinchao Wang,Jie Song,Jie Lei,Mingli Song,Faster Self-adaptive Deep Stereo,ACCV 2020.
[12].Xinhui Song,Tianyang Shi,Zunlei Feng,Mingli Song,Jackie Lin,Chuangjie Lin,Yi Yuan,Changjie Fan,Multi-task Regression for Facial Action Unit Intensity Estimation via Differentiable Renderer,ACM Multimedia,2020.
[13].Sihui Luo,Wenwen Pan,Xinchao Wang,Dazhou Wang,Haihong Tang,Mingli Song,Collaboration by Competition:Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning,ECCV 2020.
[14].Yiding Yang,Jiayan Qiu,Mingli Song,Dacheng Tao,Xinchao Wang,Learning Propagation Rules for Attribution Map Generation,ECCV 2020.
[15].Yiding Yang,Jiayan Qiu,Mingli Song,Dacheng Tao,Xinchao Wang,Distilling Knowledge from Graph Convolution Networks,CVPR 2020.
[16].Jingwen Ye,Yixin Ji,Xinchao Wang,Xin Gao,Mingli Song,Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN,CVPR 2020.
[17].Jie Song,Yixin Chen,Jingwen Ye,Xinchao Wang,Chengchao Shen,Feng Mao,Mingli Song,DEPARA:Deep Attribution Graph for Deep Knowledge Transferability,CVPR 2020.
[18].Yongcheng Jing,Xiao Liu,Yukang Ding,Xinchao Wang,Errui Ding,Mingli Song,Shilei Wen,Dynamic Instance Normalization for Arbitrary Style Transfer,AAAI 2020.
[19].Ya Zhao,Rui Xu,Xinchao Wang,Peng Hou,Haihong Tang,Mingli Song,Hearing Lips:Improving Lip Reading by Distilling Speech Recognizers,AAAI 2020.
[20].Jie Song,Yixin Chen,Xinchao Wang,Chengchao Shen,Mingli Song,Deep Model Transferability from Attribution Maps,NeurIPS 2019.
[21].Feida Zhu,Hongji Cao,Zunlei Feng,Zhang Yongqiang,Luo Weibin,Hucheng Zhou,Mingli Song,Kai-Kuang Ma,Semi-supervised Eye Makeup Transfer by Swapping Learned Representation,ICCV Workshop 2019.
[22].Chengchao Shen,Mengqi Xue,Xinchao Wang,Jie Song,Li Sun,Mingli Song,Customizing Student Network from Heterogeneous Teachers via Adaptive Knowledge Amalgamation,ICCV 2019.
[23].Ya Zhao,Rui Xu,Mingli Song,A Cascade Sequence-to-Sequence Model for Chinese Lip Reading,ACM Conference on Multimedia in Asia(MM Asia),2019.
[24].Yiding Yang,Xinchao Wang,Mingli Song,Junsong Yuan,Dacheng Tao,SPAGAN:Shortest Path Graph Attention Network,IJCAI 2019.
[25].Jingwen Ye,Xinchao Wang,Yixin Ji,Kairi Ou,Mingli Song,Amalgamating Filtered Knowledge:Learning Task-customized Student from Multi-task Teachers,IJCAI 2019.
[26].Sihui Luo,Xinchao Wang,Gongfan Fang,Yao Hu,Dapeng Tao,Mingli Song,Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning,IJCAI 2019
[27].J.Ye,Y.Ji,X.Wang,K.Ou,D.Tao,M.Song,Student Becoming the Master:Knowledge Amalgamation for Joint Scene Parsing,Depth Estimation and more,CVPR 2019.
[28].C.Shen,X.Wang,J.Song,M.Song,Amalgamating Knowledge towards Comprehensive Classification,AAAI 2019.
[29].Z.Feng,X.Wang,C.Ke,A.Zeng,D.Tao,M.Song,Dual Swap Disentangling,NIPS 2018.
[30].C.Shen,J.Song,S.Song,L.Sun,S.Luo,M.Song,Intra-class structure aware networks for screen defect detection,ICONIP 2018.
[31].S.Luo,Y.Yang,Y.Yin,C.Shen,Y.Zhao,M.Song,DeepSIC:Deep Semantic Image Compression,ICONIP 2018..
[32].T.Shen,Z.Gu,Y.Wang,S.Toledo,S.Zhang,M.Song,Where to Rendezvous?Prefering Quiet Channels in Cognitive Radio Networks,MSWiM’18.Acceptance.
[33].Y.Jing,Y.Liu,Y.Yang,Z.Feng,Y.Yu,D.Tao,M.Song,Stroke Controllable Fast Style Transfer with Adaptive Receptive Field,ECCV 2018.
[34].J.Song,C.Shen,J.Lei,A.-X.Zeng,K.Ou,D.Tao,M.Song,Selective Zero-Shot Classification with Augmented Attribute,ECCV 2018.
[35].J.Lei,Z.Wang,Z.Feng,M.Song,J.Bu,Understanding the prediction process of Deep Networks by Forests,IEEE International Conference on Multimedia Big Data,BigMM 2018.
[36].Y.Zhao,S.Luo,Y.Yang,M.Song,DEEPSSH:Deep Semantic Structured Hashing for Explainable Person Re-Identification,IEEE International Conference on Image Processing,2018.
[37].J.Song,C.Shen,Y.Yang,Y.Liu,M.Song,Transductive Unbiased Embedding for Zero-Shot Learning,CVPR 2018.
[38].J.Ye,Y.Jing,J.Lei,Z.Feng,M.Song,Finer-Net:Cascaded Human Parsing with Hierarchical Granularity,ICME 2018,
[39].Z.Feng,Zhenyun Yu,Yezhou Yang,Yongcheng Jing,Junxiao Jiang,Mingli Song,Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition,ACM ICMR 2018.
[40].J.Song,Y.Shen,Y.Jing,M.Song,Towards Deeper Insights into Deep Learning from Imbalanced Data,CCCV 2017,674-684,2017.
[41].J.Lei,Q.Luan,X.Song,X.Liu,M.Song,Action Parsing Driven Video Summarization based on Reinforcement Learning,ChinaMM 2017.
[42].Zunlei Feng,Jie Lei,Yongcheng Jing,Mingli Song,et al.,Graph-based color gamut mapping using neighbor metric,International Conference on Multimedia and Expo 2017.
[43].Jie Lei,Zunlei Feng,Mingli Song,Dacheng Tao,WHICH FACE IS MORE ATTRACTIVE?,ICIP 2016,August 2016.
[44].Xinhui Song,Mingli Song,Ke Chen,Li Sun,Jie Lei,Category Driven Deep Recurrent Neural Network For Video Summarization,ICME 2016 Workshops,July,2016.
[45].Jie Lei,Xinhui Song,Li Sun,Mingli Song,Na Li,Chun Chen,Learning deep classifiers with deep features,ICME 2016,July,2016.
[46].X.Liu,B.Tang,Z.Wang,X.Xu,S.Pu,D.Tao,M.Song,Chart Classification by Combining Deep Convolutional Networks and Deep Belief Networks,ICDAR 2015,pp.801-805.
[47].J.Lei,M.Song,J.Bu,Z.Li,et al.,Whole-Body Humanoid Robot Imitation with Pose Similarity Evaluation,ICPR 2014,pp.4240-4245,2014.
[48].L.Sun,M.Song,Z.Liu,M.Sun,Realtime Gaze Estimation with Online Calibration,ICME 2014,pp.1-6,2014.(Oral)
[49].Q.Luan,M.Song,C.Chen,et al.,Video Summarization Based on Nonnegative Linear Reconstruction,ICME 2014,pp.1-6,2014.
[50].X.Liu,D.Tao,M.Song,J.Bu,and C.Chen,Nearest Neighbor-based Label Transfer for Weakly Supervised Multiclass Video Segmentation,CVPR 2014.(Oral,5.75%).
[51].X.Liu,M.Song,D.Tao,J.Bu and C.Chen,Semi-Supervised Coupled Dictionary Learning for Person Re-identification,CVPR 2014.
[52].C.Wei,H.Chen,M.Song,M.-T.Sun,A Capture-to-Display Delay Measurement System for Visual Communication Applications,APSIPA 2013.
[53].H.Liang,M.Song,R.Liang,Personalized 3-D Facial Expression Synthesis based on Landmark Constraint,APSIPA 2013.
[54].L.Zhang,M.Song,Z.Liu,X.Liu,J.Bu,C.Chen,Probabilistic Graphlet Cut:Exploring Spatial Structure Cue for Weakly Supervised Image Segmentation,CVPR 2013,pp.1908-1915,June 2013.
[55].X.Liu,M.Song,D.Tao,Z.Liu,L.Zhang,J.Bu,C.Chen,Semi-supervised Node Splitting for Random Forest Construction,CVPR 2013,pp.492-499,June 2013..
[56].C.Shen,M.Song,Q.Zhao,Learning High-Level Concepts by Training A Deep Network on Eye Fixations,Deep Learning and Unsupervised Feature Learning NIPS Workshop,2012.
[57].Y.Liang,M.Song,et al.,Face Sketch-to-Photo Synthesis from Simple Line Drawing,Asia Pacific Signal and Information Processing Association(APSIPA),2012.
[58].Y.Liang,M.Song,et al.,Colorization for Gray Scale Facial Image by Locality-constrained Linear Coding,Pacific Rim Conference on Multimedia(PCM2012),pp.56-67,2012.
[59].L.Sun,M.Song,et al.,Pose Estimation with Motionlet LLC Coding,Pacific Rim Conference on Multimedia(PCM2012),pp.435-443,2012.
[60].S.Wang,Q.Zhao,M.Song,et al.,Learning Visual Saliency based on Object's Relative Relationship,Neural Information Processing(ICONIP2012),pp.318-327,2012.
[61].X.Liu,M.Song,et al.,Joint Shot Boundary Detection and Key Frame Extraction,International Conference on Pattern Recognition(ICPR2012),pp.2565-2568,2012.
[62].L.Zhang,M.Song,et al.,Spatial Graphlet Matching Kernel for Recognizing Aerial Image Categories,International Conference on Pattern Recognition(ICPR2012),pp.2813-2816,2012.
[63].C.Hong,J.Zhu,M.Song,et al.,Realtime Object Matching with Robust Dominant Orientation Templates,International Conference on Pattern Recognition(ICPR2012),pp.1152-1155,2012.
[64].Y.Wang,J.Bu,N.Li,M.Song,et al.,Detecting Discontinuities for Surface Reconstruction,International Conference on Pattern Recognition(ICPR2012),pp.2108-2111,2012.
[65].J.She,D.Wang,M.Song,Automatic Image Cropping using Sparse Coding,First Asian Conference on Pattern Recognition(ACPR2011),pp.490-494,2011.
[66].L.Zhang,M.Song,et al.,Large-scale Outdoor Scene Classification by Boosting a Set of Highly Discriminative and Low Redundant Graphlets.ICDM Workshops,pp.847-852,2011.
[67].S.Wang,M.Song,et al.,Opponent and Feedback:Visual Attention Captured,Neural Information Processing(ICONIP2011),3:667-675,2011.
[68].Z.Zhou,J.Bu,L.Zhang,M.Song,et al.,Describing Human Identity using Attributes,Neural Information Processing(ICONIP2011),3:86-94,2011.
[69].L.Zhang,W.Bian,M.Song,et al.,Integrating Local Features into Discriminative Graphlets for Scence Classification,Neural Information Processing(ICONIP 2011),3:589-598,2011.
[70].L.Zhang,M.Song,et al.,Feature Relationships Hypergraph for Multimodal Recognition,Neural Information Processing(ICONIP 2011),3:657-666,2011.
[71].L.Zhang,M.Song,et al.,Fast Multi-view Graph Kernels for Object Classifcation,Australasian Conference on Artificial Intelligence(AI 2011),pp.570-579,2011.
[72].Z.Zhou,M.Song,et al.,kPose:a new representation for action recognition,Asian Conference on Computer Vision(ACCV 2011),Lecture Notes in Computer Science,6494:436-447,2011.
[73].B.Xie,M.Song,et al.,Random Project Tree and Multiview Embedding for Large-scale Image Retrieval,International Conference on Neural Information Processing(ICONIP2010),pp.641-649,2010.
[74].Y.Yang,M.Song et al.,Color to Gray:Attention Preservation,Pacific-Rim Symposium on Image and Video Technology(PSIVT2010),pp.337-342,2010.
[75].C.Hong,N.Li,M.Song,et al.,A Level-set based Tracking Approach for Surveillance Video with Fusion and Occlusion,Pacific-Rim Symposium on Image and Video Technology(PSIVT2010),pp.156-161,2010.
[76].B.Xie,M.Song,et al.,Large-scale Dictionary Learning for Local Coordinate Coding,British Machine Vision Conference(BMVC2010),Lecture Notes in Computer Science,6444:641-649,2010.
[77].H.Huang,Y.Lin,M.Song,et al.,Face Aging by Sparse Representation,Pacific Rim Conference on Multimedia(PCM2010),pp.571-582,2010.
[78].Y.Yang,M.Song,et al.,What is the Chance of Happening:A New Way to Predict Where People Look,European Conference on Computer Vision(ECCV2010),pp.631-643,2010.
[79].L.Zhang,M.Song,et al.,Feature Selection for Accelerating Speech based Emotion Recognition,ACM Multimedia(MM2009),pp.753-756,2009.
[80].Y.Yang,M.Song,et al.,Visual Attention Analysis using Classic Theory of Gravitational Field,ACM Multimedia(MM2009),pp.553-556,2009.
[81].H.Mao,C.Ye,M.Song,et al.,Viewpoint Independent Vehicle Speed Estimation from Uncalibrated Traffic Surveillance Cameras,International Conference on System,Man&Cybernetics(SMC2009),pp.4920-4925,2009.
[82].Y.Lin,C.Chen,M.Song,et al.,Implicit Surface Reconstruction with An Analogy of Polar Field Model,Pacific-Rim Symposium on Image and Video Technology 2009(PSIVT2009),pp.436-448,2009.
[83].C.Ye,J.Liu,C.Chen,M.Song,et al.,Speech emotion classification on a Riemannian manifold,Pacific Rim Conference on Multimedia(PCM2008),Lecture Notes on Computer Science,5353:61-69,2008.
[84].C.Pang,M.Song,et al.,Painterly Rendering with Vector Field based Feature Extraction,International Conference on Artifical Reality and Telexistence(ICAT2006),Lecture Notes on Computer Science,4282:960-968,2006.
[85].Q.Wu,M.Song,et al.,EigenExpress Approach in Recognition of Facial Expression using GPU,ECCV 2006 workshop on Human-Computer Interaction,Lecture Notes in Computer Science,3979:12-20,2006.
[86].J.Bu,L.Mo,C.Chen,Z.Yang,M.Song,Multiple-Reference-Frame Based Fast Motion Estimation&Mode Decision for H.263-to-H.264 Transcoder,IEEE International Conference on Image Processing(ICIP06),pp.849-852,2006.
[87].M.Song,et al.,Subtle Facial Expression Modeling with Vector Field Decomposition,IEEE International Conference on Image Processing(ICIP06),pp.2101-2104,2006.
[88].M.Song,et al.,Real-Time Facial Expression Mapping for High Resolution 3D Meshes,Computer Graphics International(CGI 2006),Lecture Notes in Computer Science,4035:277-287,2006.
[89].J.Bu,M.Song,et al.,Sketch based Facial Expression Recognition using Graphics Hardware,Affective Computing and Intelligent Interaction(ACII05),Lecture Notes in Computer Science,3784:72-80,2005.
[90].M.Song,et al.,Audio-Visual based Emotion Recognition-A New Approach,IEEE International Conference on Computer Vision and Pattern Recognition(CVPR2004),pp.1020-1025,2004.
[91].M.Song,et al.,3D Realistic Talking Face Co-Driven by Text and Speech,IEEE International Conference on Systems,Man&Cybernetics(SMC2003),pp.2175-2180,2003.
国际期刊
Information Sciences,Associate Editor.
Neurocomputing,Associate Editor
Journal of Visual Communication and Image Representation,Associate Editor
Neural Processing Letters,Associate Editor
Sensors,Editorial Board Member
IEEE Transactions on Knowledge and Data Engineering,Reviewer.
IEEE Transactions on Multimedia,Reviewer
IEEE Transactions on System,Man and Cybernetics,Part B,Reviewer.
IEEE Transactions on Curcuits and Systems for Video Technology,Reviewer.
IEEE Transactions on System,Man and Cybernetics,Part C,Reviewer.
IEEE Transactions on Information Technology in Biomedicine,Reviewer.
IEEE Multimedia,Reviewer
IEEE Signal Processing Letters,Reviewer
Plos One,Reviewer
Journal of Visual Communication and Image Representation,Reviewer.
Computer Aided Design,Reviewer.
Pattern Recognition,Reviewer
Pattern Recognition Letters,Reviewer
Pattern Analysis&Application,Reviewer
Machine Vision&Application,Reviewer
International Journal of Computer Mathematics,Reviewer
Neurocomputing,Reviewer
Signal Processing,Reviewer
Information Sciences,Reivewer.
International Journal of Pattern Recognition and Artificial Intelligence,Reviewer
International Journal of Image and Graphics,Reviewer.
Electronic Letters on Computer Vision and Image Analysis,Reviewer.
Soft Computing,Reviewer.
Journal of Information Science&Engineering,Reviewer.
国际会议
AAAI:2018,2019,2020,SPC
IJCAI:2018,2019,PC
ICCV:2019,Reviewer
CVPR:2018,2019,Reviewer
International Conference on Multimedia and Expo(ICME):2014,Area Chair.
International Conference on Multimedia and Expo(ICME):2010,2011,2012,2013,Program Committee.
International Conference on Image Analysis and Recognition(ICIAR):2008,2009,2010,2011,Program Committee.
The Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD):2008,2009,2010,2011,2012,2013,Program Committee.
International Conference on Acoustic,Speech and Signal Processing(ICASSP):2008,2009,2010,2011,2012,2013,Reviewer.
International Conference on Image Processing(ICIP),2008,2009,2010,2011,2012,2013,Reviewer.
International Conference on Computer Vision Theory and Applications(VISAPP):2009,2010,2011,2013,2014,Program Committee.
International Conference on Signal Processing and Multimedia Applications(SIGMAP):2009,2010,2011,Program Committee.
The 3rd International Conference on Imaging for Crime Detection and Prevention(ICDP):2009,2011,2012,Program Committee.
The 13th International Conference on Computer Analysis of Images and Patterns(CAIP):2009,2011,2012,Program Committee.
Pacific Rim Symposium on Image Video and Technology(PSIVT):2007,2009,2010,2011,2013,Program Committee/Area Chair.
Pacific Rim Conference on Multimedia(PCM),2011,2012,Program Committee
International Conference on Machine Learning and Applications(ICMLA):2012,Senior Program Committee.