College of Information and Control Tel: (+86) Nanjing University of Information Science & Technology, Nanjing, China,

Transcription

1 Xiao-Tong Yuan CONTACT INFORMATION CITIZENSHIP College of Information and Control Tel: (+86) Nanjing University of Information Science & Technology, Nanjing, China, Chinese RESEARCH INTERESTS Machine Learning: Sparse learning, Gaussian graphical models, Largescale optimization. Computer Vision: Visual classification, Image and video analysis. EDUCATION & RESEARCH EXPERIENCE Present, Professor, College of Information and Control, Nanjing University of Information Science & Technology, China , Postdoctoral research fellow, Department of Statistical Science, Cornell University, USA , Postdoctoral research fellow, Department of Statistics, Rutgers University, USA , Internship, Natural Language Processing Group, BAIDU Incorporation, Beijing, China , Postdoctoral research fellow, Electrical and Computer Engineering Department, National University of Singapore, Singapore , Ph.D., Institute of Automation, Chinese Academy of Sciences, Beijing, China , M.S., School of Electronic, Information and Electrical Engineering, Shanghai JiaoTong University, Shanghai, China , B.S., College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China PUBLICATIONS 1. Zhenzhen Wang, Xiao-Tong Yuan, Qingshan Liu, Sparse random projection for 2 kernel linearization: Algorithm and applications to image classification, Neurocomputing, 151: , Xiao-Tong Yuan, Ping Li, Sparse Additive Subspace Clustering, European Conference on Computer Vision (ECCV 2014), Zurich, Switzerland, Xiao-Tong Yuan, Ping Li, Tong Zhang, Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization, International Conference on Machine Learning (ICML 2014), Beijing, China, of 7

2 4. Xiao-Tong Yuan, Qingshan Liu, Newton Greedy Pursuit: a Quadratic Approximation Method for Sparsity-Constrained Optimization, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, USA, Xiao-Tong Yuan, Tong Zhang, Partial Gaussian Graphical Model Estimation, IEEE Transactions on Information Theory, 60(3): , Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu and Shuicheng Yan, Autogrouped Sparse Representations for Visual Analysis, IEEE Transactions on Image Processing (TIP), 23(12): , Jun Li, Jian Yang, Xiaotong Yuan, Zhaohua Hu, Continuous attractors of higherorder recurrent neural networks with infinite neurons, Neurocomputing, 131: , Bineng Zhong, Xiaotong Yuan, Rongrong Ji, Yan Yan, Zhen Cui, Xiaopeng Hong, Yan Chen, Tian Wang, Duansheng Chen, Jiaxin Yu, Structured partial least squares for simultaneous object tracking and segmentation, Neurocomputing, 133: , Xiao-Tong Yuan, Ping Li, Tong Zhang, Learning Pairwise Graphical Models with Nonlinear Sufficient Statistics, arxiv: , Xiao-Tong Yuan, Tong Zhang, Truncated Power Method for Sparse Eigenvalue Problems, Journal of Machine Learning Research, 14: , Xiao-Tong Yuan, Tong Zhang, Xiu-Feng Wan: A Joint Matrix Completion and Filtering Model for Influenza Serological Data Integration, PLOS ONE, 8(7): 1-12, Xiao-Tong Yuan, Suicheng Yan, Forward Basis Selection for Pursuing Sparse Representation Over a Dictionary, IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(12): , Bin Fan, Qingqun Kong, Xiao-Tong Yuan, Zhiheng Wang, Chunhong Pan, Learning Weighted Hamming Distance For Binary Descriptors, ICASSP, Ran He, Xiao-Tong Yuan and Wei-Shi Zheng, A Fast Convex Conjugated Algorithm for Sparse Recovery, Neurocomputing, 115(4): , Congyan Lang, Songhe Feng, Bin Chen, Xiao-Tong Yuan, Supervised sparse patch coding towards misalignment-robust face recognition, Journal of Visual Communication and Image Representation, 24(2): , Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan, Visual Classification with Multi- Task Joint Sparse Representation, IEEE Transactions on Image Processing, 21(10): , Bao-Gang Hu, Ran He, Xiao-Tong Yuan, Information-theoretic Measures for Objective Evaluation of Classifications, ACTA AUTOMATICA SINICA, 38(7): , Xiao-Tong Yuan, Shuicheng Yan, Non-degenerate Piecewise Linear Systems: A Finite Newton Algorithm and Applications in Machine Learning, Neural Computation, 24(4): , Xiao-Tong Yuan, Bao-Gang Hu, Ran He, Agglomerative Mean-Shift Clustering, IEEE Transactions on Knowledge and Data Engineering, 24(2): , of 7

3 20. Meng Wang, Richang Hong, Xiao-Tong Yuan, Shuicheng Yan, Tat-Seng Chua, Movie2Comics: Towards a Lively Video Content Presentation, IEEE Transactions on Multimedia, 14(3-2): , Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan, Autogrouped Sparse Representation for Visual Analysis, European Conference on Computer Vision (ECCV), Xiao-Tong Yuan, Shuicheng Yan, Forward Basis Selection for Sparse Approximation over Dictionary, Fifteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2012), La Palma, Canary Islands, Richang Hong, Meng Wang, Xiao-Tong Yuan, Mengdi Xu, Jianguo Jiang, Shuicheng Yan, Tat-Seng Chua, Video accessibility enhancement for hearing-impaired users, ACM Transactions on Multimedia Computing, Communications and Applications, 7 (24), Xiangyu Chen, Xiao-Tong Yuan, Shuicheng Yan, Jinhui Tang, Yong Rui and Tat-Seng Chua, Towards Multi-Semantic Image Annotation with Graph Regularized Exclusive Group Lasso, ACM Multimedia, Scottsdale, Arizona, USA, (Full paper) 25. Xiangyu Chen, Xiao-Tong Yuan, Qiang Chen, Shuicheng Yan and Tat-Seng Chua, Multi-label Visual Classification with Label Exclusive Context, IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Xiaobai Liu, Xiao-Ttong Yuan, Shuicheng Yan, Hai Jin, Multi-class Semisupervised SVMs with Positiveness Exclusive Regularization, IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain, Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen, Efficient Subspace Segmentation via Quadratic Programming, Twenty-Fifth Conference on Artificial Intelligence (AAAI 2011), San Francisco, CA, USA, Xiao-Tong Yuan and Shuicheng Yan, A Finite Newton Algorithm for Nondegenerate Piecewise Linear Systems, Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011), Ft. Lauderdale, FL, USA, Yadong Mu, Jian Dong, Xiao-Tong Yuan, Shuicheng Yan, Accelerated Low Rank Visual Recovery by Random Projection, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, (Oral presentation, acceptance rate 3.5%) 30. Xiao-Tong Yuan, Shuicheng Yan, Visual Classification with Multi-Task Joint Sparse Representation, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, (Oral presentation, acceptance rate 4.5%) 31. Bineng Zhong, Hongxun Yao, Shaohui Liu, Xiaotong Yuan, Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction, EURASIP J. Adv. Sig. Proc Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Xiaotong Yuan, Shaohui Liu, Wen Gao, Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, of 7

4 33. Ran He, Bao-Gang Hu, Xiao-Tong Yuan, Wei-Shi Zheng, Principal component analysis based on non-parametric maximum entropy, Neurocomputing, Vol.73, Issue 10-12, pp , Jun Yuzhao Ni, Ju Sun, Xiaotong Yuan, Shuicheng Yan, Loong-Fah Cheong, Robust Low-Rank Subspace Segmentation with Semidefinite Guarantees, Workshop on Optimization Based Methods for Emerging Data Mining Problems, Sydney, Australia, 2010 (in conjunction with ICDM 2010). 35. Mengdi Xu, Xiao-Tong Yuan, Jialie Shen, Shuicheng Yan, Cast2Face: Character Identification in Movie with Actor-Character Correspondence, ACM Multimedia, Firenze, Italy, (Short paper) 36. Richang Hong, Xiao-Tong Yuan, Mengdi Xu, Meng Wang, Shuicheng Yan, Tat- Seng Chua, Movie2Comics: A Feast of Multimedia Artwork, ACM Multimedia, Firenze, Italy, (Short paper) 37. Xiao-Tong Yuan, Stan Z. Li, Stochastic Gradient Kernel Density Mode-Seeking, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, USA, Xiao-Tong Yuan, Bao-Gang Hu, Robust Feature Extraction via Information Theoretic Learning, International Conference on Machine Learning (ICML 2009), Montreal, Canada, June 14-18, Xiao-Tong Yuan, Bao-Gang Hu, Ran He, Agglomerative Mean-Shift Clustering via Query Set Compression, SIAM International Conference on Data Mining (SDM 2009), Sparks, USA, April 30-May 2, (Oral presentation) 40. Ran He, Bao-Gang Hu, Xiao-Tong Yuan, Robust Discriminant Analysis Based on Nonparametric Maximum Entropy, Asian Conference on Machine Learning (ACML 2009), Nanjing, China, Rong Liu, Stan Z.Li, Xiao-Tong Yuan, Ran He, Online Determination of Track Loss Using Template Inverse Matching, IEEE International Workshop on Visual Surveillance (VS 2008), Marseille, France, October, Min Xu, Stan Z. Li, Bin Li, Xiao-Tong Yuan, Shi-Ming Xiang, A Set Theoretical Method for Video Synopsis, ACM International Conference on Multimedia Information Retrieval (ACM MIR 2008), Vancouver, Canada, October 30-31, Ran He, Zhen Lei, Xiao-Tong Yuan, Stan Z. Li, Regularized Active Shape Model for Shape Alignment, IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), Amsterdam, The Netherlands, Sep , Xiao-Tong Yuan, Stan Z. Li, Half Quadratic Analysis for Mean Shift: with Extension to A Sequential Data Mode-Seeking Method, IEEE International Conference on Computer Vision (ICCV 2007), Rio de Janeiro, Brazil, Oct , (Oral presentation, acceptance rate 3.9%) 45. Xiao-Tong Yuan, Stan Z. Li, Ran He, Color Constancy via Convex Kernel Optimization, 8th Asian Conference on Computer Vision (ACCV 2007), Tokyo, Japan, Nov , Lun Zhang, Stan Z.Li, Xiao-Tong Yuan, Shiming Xiang, Real-time Object Classification in Video Surveillance Based on Appearance Learning, IEEE International Workshop on Visual Surveillance (VS2007), in conjunction with CVPR, Minneapolis, USA, of 7

5 47. Shengcai Liao, Zhen Lei, Stan Z. Li, Xiao-Tong Yuan, Ran He, Structured Ordinal Features for Appearance-Based Object Representation, IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG2007), in conjunction with ICCV, Rio de Janeiro, Brazil, Oct , Xiao-Tong Yuan, Stan Z. Li, A Random Field Model for Improved Feature Extraction and Tracking, IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), Sydney, Ausralia, Nov , Xiao-Tong Yuan, Stan Z. Li, Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework, IEEE International Conference on Video and Signal Based Surveillance (AVSS 2006), Sydney, Ausralia, Nov , Feng Chen, Xiaotong Yuan, ShuTang Yang, Joint feature-spatial-measure space: a new approach to highly efficient probabilistic object tracking, ICIP, Xiaotong Yuan, HongWen Zhu, ShuTang Yang, A Robust Framework For Eigenspace Image Reconstruction, WACV/MOTION, Xiaotong Yuan, ShuTang Yang, HongWen Zhu, Region Tracking via HMMF in Joint Feature-Spatial Space, WACV/MOTION, AWARDS Notable Paper in ACM Computing Reviews Best of 2012 list: Xiao-Tong Yuan, Xiaobai Liu, Shuicheng Yan, Visual Classification with Multi-Task Joint Sparse Representation, IEEE Transactions on Image Processing, 21(10): , Team winner prize of the classification task in PASCAL Visual Object Classes Challenge PROFESSIONAL SERVICES Journal Reviewing Statistica Sinica Statistical Science Mathematical Programming Journal of Machine Learning Research Machine Learning Journal IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Signal Processing IEEE Transactions on Medical Imaging IEEE Transactions on Neural Networks and Learning Systems IEEE Transactions on Geoscience and Remote Sensing IEEE Transactions on Systems, Man, and Cybernetics Pattern Recognition Neurocomputing 5 of 7

6 Conference Reviewing and Program Committees 2015, International Joint Conference on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015 (Senior Program Committee) 2015, International Conference on Machine Learning (ICML), Lille, France, , International Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, The Netherlands, , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, USA, , International Conference on Machine Learning (ICML), Beijing, China, , International Conference on Uncertainty in Artificial Intelligence (UAI), Quebec City, Quebec, Canada, , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, , ACM International Conference on Multimedia (ACM MM), Orlando, FL, USA, , International Conference on Machine Learning (ICML), Atlanta, USA, , IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, , Asian Conference on Machine Learning (ACML), Canberra, Australia, , International Conference on Machine Learning (ICML), Edinburgh, Scotland, , International Conference on Uncertainty in Artificial Intelligence (UAI), Catalina Island, California, USA, , Asian Conference on Machine Learning (ACML), Singapore, , European Conference on Computer Vision (ECCV), Firenze, Italy, , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, USA, , Seventh IEEE Workshop on Applications of Computer Vision, Breckenridge, Colorado, USA, 2005 REFEREES Dr. Tong Zhang, Professor Department of Statistics, Rutgers University, USA, of 7

7 Dr. Ping Li, Associate Professor Department of Statistics, Rutgers University, USA, Dr. Shuicheng Yan, Associate Professor ECE Department, National University of Singapore, Singapore, of 7