Papers


2010

  1. Gaussian Mixture Model with Local Consistency
    Jialu Liu, Deng Cai, and Xiaofei He.
    The 24th AAAI Conference on Artificial Intelligence (AAAI), Atlanta, Georgia, USA, July 2010.

  2. Laplacian Regularized D-Optimal Design for Active Learning and Its Application to Image Retrieval [PDF]
    Xiaofei He.
    IEEE Transactions on Image Processing, 19(1):254-263, 2010.


2009

  1. Convex Experimental Design using Manifold Structure for Image Retrieval [PDF]
    Lijun Zhang, Chun Chen, Jiajun Bu, Wei Chen, Deng Cai, and Xiaofei He.
    Proc. 2009 ACM International Conference on Multimedia, Beijing, China, October, 2009.

  2. Semi-supervised Topic Modeling for Image Annotation (4-page short paper) [PDF]
    Yuanlong Shao, Yuan Zhou, Xiaofei He, Deng Cai, Hujun Bao
    Proc. 2009 ACM International Conference on Multimedia, Beijing, China, October, 2009.

  3. Active Subspace Learning [PDF]
    Xiaofei He and Deng Cai
    Proc. 2009 IEEE International Conference on Computer Vision (ICCV), Kyoto, Japan, September 2009.

  4. Probabilistic Dyadic Data Analysis with Local and Global Consistency [PDF]
    Deng Cai, Xuanhui Wang, and Xiaofei He.
    Proc. 2009 International Conference on Machine Learning (ICML), Montreal, Canada, June 2009.

  5. Locality Preserving Nonnegative Matrix Factorization [PDF]
    Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, and Jiawei Han.
    Proc. 2009 International Joint Conference on Artificial Intelligence (IJCAI), Pasadena CA, July 2009.

  6. Graph Embedding with Constraints [PDF]
    Xiaofei He, Ming Ji, and Hujun Bao.
    Proc. 2009 International Joint Conference on Artificial Intelligence (IJCAI), Pasadena CA, July 2009.

  7. A Unified Active and Semi-Supervised Learning Framework for Image Compression [PDF]
    Xiaofei He, Ming Ji, and Hujun Bao.
    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Miami FL, June 2009.

  8. News Article Extraction with Template-Independent Wrapper (2-page short paper) [PDF]
    Junfeng Wang, Xiaofei He, Can Wang, Jian Pei, Jiajun Bu, Chun Chen, Ziyu Guan, and Gang Lu.
    18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009.

  9. Advertising Keyword Generation using Active Learning (2-page short paper) [PDF]
    Hao Wu, Guang Qiu, Xiaofei He, Yuan Shi, Mingcheng Qu, Jing Shen, Jiajun Bu, and Chun Chen.
    18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009.

  10. Tag-oriented Document Summarization (2-page short paper) [PDF]
    Junyan Zhu, Can Wang, Xiaofei He, Jiajun Bu, Chun Chen, Shujie Shang, Mingcheng Qu, and Gang Lu.
    18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009.

  11. Probabilistic Question Recommendation for Question Answering Communities (2-page short paper) [PDF]
    Mingcheng Qu, Guang Qiu, Xiaofei He, Cheng Zhang, Hao Wu, Jiajun Bu, and Chun Chen.
    18th International Conference on World Wide Web (WWW), Madrid, Spain, April 2009.


2008

  1. Regularized query classification using search click information [PDF]
    Xiaofei He and Pradhuman Jhala.
    Pattern Recognition Journal, Vol. 41, No. 7, pp. 2289-2297, 2008.

  2. Learning a Maximum Margin Subspace for Image Retrieval [PDF]
    Xiaofei He, Deng Cai, and Jiawei Han.
    IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 2, Feb. 2008.

  3. SRDA: An Efficient Algorithm for Large Scale Discriminant Analysis [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE Transactions on Knowledge and Data Engineering, Vol. 20, No. 1, pp. 1-12, Jan. 2008.

  4. Locality Sensitive Semi-Supervised Feature Selection [PDF]
    Jidong Zhao, Ke Lu, and Xiaofei He.
    Neurocomputing, 71(10-12): 1842-1849, 2008.

  5. Sparse Projections over Graph [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    The 23rd AAAI Conference on Artificial Intelligence (AAAI). Chicago, Illinois, USA. July 2008.

  6. Non-negative Matrix Factorization on Manifold [PDF]
    Deng Cai, Xiaofei He, Xiaoyun Wu, and Jiawei Han.
    The Eighth IEEE International Conference on Data Mining, pp. 63-72, Pisa, Italy, December, 2008.

  7. Training Linear Discriminant Analysis in Linear Time [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    The 24th International Conference on Data Engineering (ICDE), Cancun, Mexico, Apr. 2008.


Journal Papers (Before 2008)

  1. Clustering and Searching WWW Images Using Link and Page Layout Analysis [PDF]
    Xiaofei He, Deng Cai, Ji-Rong Wen, Wei-Ying Ma and Hong-Jiang Zhang.
    ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 3, No. 2, 2007.

  2. Orthogonal Laplacianfaces for Face Recognition [PDF]
    Deng Cai, Xiaofei He, Jiawei Han and Hong-Jiang Zhang.
    IEEE Transactions on Image Processing, Vol. 15, No. 11, pp. 3608-3614, Nov. 2006.

  3. Document Clustering using Locality Preserving Indexing [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE Transactions on Knowledge and Data Engineering,  Vol 17, No. 12, Dec. 2005.

  4. Face Recognition Using Laplacianfaces [PDF]
    Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, and Hong-Jiang Zhang.
    IEEE Transactions on Patten Analysis and Machine Intelligence, Vol. 27, No. 3, Mar. 2005.

  5. Image retrieval based on incremental subspace learning [PDF]
    Ke Lu and Xiaofei He.
    Pattern Recognition Journal, Vol. 38, No. 11, Pages 2047-2054, 2005.

  6. Bayesian Shape Localization for Face Recognition Using Global and Local Textures [PDF]
    Shuicheng Yan, Xiaofei He, Yuxiao Hu, Hong-Jiang Zhang, Mingjing Li, and Qiansheng Cheng.
    IEEE Transactions on Circuits and Systems for Video Technology, Vol 14, No. 1, Jan. 2004.

  7. Locality Pursuit Embedding [PDF]
    Wanli Min, Ke Lu and Xiaofei He.
    Pattern Recognition Journal, Vol. 37, No. 4, Pages 781-788, 2004.

  8. Learning a Semantic Space from User's Relevance Feedback for Image Retrieval [PDF]
    Xiaofei He, Oliver King, Wei-Ying Ma, Mingjing Li, and Hong-Jiang Zhang.
    IEEE Transactions on Circuits and Systems for Video Technology, Vol 13, No. 1, Jan. 2003.

Conference Papers (Before 2008)

  1. Spectral Regression: A Unified Approach for Sparse Subspace Learning [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE International Conference on Data Mining (ICDM), Omaha, NE, Oct. 2007.

  2. Efficient Kernel Discriminant Analysis via Spectral Regression [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE International Conference on Data Mining (ICDM), Omaha, NE, Oct. 2007.

  3. Regularized Locality Preserving Indexing via Spectral Regression [PDF]
    Deng Cai, Xiaofei He, Wei Vivian Zhang, and Jiawei Han.
    ACM 16th Conference on Information and Knowledge Management (CIKM), Lisboa, Portugal, Nov. 2007.

  4. Semi-Supervised Discriminant Analysis [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, Oct. 2007.

  5. Spectral Regression for Efficient Regularized Subspace Learning [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, Oct. 2007.

  6. Laplacian Optimal Design for Image Retrieval [PDF]
    Xiaofei He, Wanli Min, Deng Cai, and Kun Zhou.
    ACM Conference on Information Retrieval (SIGIR), Amsterdam, The Netherlands, July 2007.

  7. Query Rewritting using Active Learning for Sponsored Search [PDF] (2-page short paper)
    Wei Vivian Zhang, Xiaofei He, Benjamin Rey, and Rosie Jones.
    ACM Conference on Information Retrieval (SIGIR), Amsterdam, The Netherlands, July 2007.

  8. Isometric Projection [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    The 22nd AAAI Conference on Artifical Intelligence (AAAI), Vancouver, Canada, July 2007.

  9. Regularized Regression on Image Manifold for Retrieval [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    Proc. 9th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR), Augsburg, Germany, Sep. 2007.

  10. Spectral Regression: A Unified Subspace Learning Framework for Content-Based Image Retrieval [PDF]
    Deng Cai, Xiaofei He, and Jiawei Han.
    ACM Multimedia 2007, Augsburg, Germany, Sep. 2007.

  11. Learning a Spatially Smooth Subspace for Face Recognition [PDF]
    Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, and Thomas Huang.
    Proc. 2007 IEEE International Conference on Computer Visiona and Pattern Recognition (CVPR), Minneapolis, USA, June 2007.

  12. Locality Sensitive Discriminant Analysis [PDF]
    Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, and Hujun Bao.
    Proc. 2007 International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, Jan. 2007.

  13. Tensor Space Model for Document Analysis [PDF] (2-page short paper)
    Deng Cai, Xiaofei He and Jiawei Han.
    ACM Conference on Information Retrieval (SIGIR), Seattle, WA, Aug. 2006.

  14. Laplacian Score for Feature Selection [PDF]
    Xiaofei He, Deng Cai and Partha Niyogi.
    Advances in Neural Information Processing Systems 18 (NIPS), Vancouver, Canada, Dec. 2005.

  15. Tensor Subspace Analysis [PDF]
    Xiaofei He, Deng Cai and Partha Niyogi.
    Advances in Neural Information Processing Systems 18 (NIPS), Vancouver, Canada, Dec. 2005.

  16. Image Clustering with Tensor Representation [PDF]
    Xiaofei He, Deng Cai, Haifeng Liu, and Jiawei Han.
    ACM Conference on Multimedia, Hilton, Singapore, Nov. 2005.

  17. Neighborhood Preserving Embedding[PDF]
    Xiaofei He, Deng Cai, Shuicheng Yan, and Hong-Jiang Zhang.
    IEEE International Conference on Computer Vision (ICCV), Beijing, China, 2005.

  18. Statistical and Computational Analysis of Locality Preserving Projection [PDF]
    Xiaofei He, Deng Cai and Wanli Min.
    The 22nd International Conference on Machine Learning (ICML), Bonn, Germany, Aug. 2005.

  19. Orthogonal Locality Preserving Indexing [PDF]
    Deng Cai and Xiaofei He.
    ACM Conference on Information Retrieval (SIGIR), Salvador, Brazil, Aug. 2005.

  20. Community Mining from Multi-Relational Networks [PDF]
    Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan and Jiawei Han.
    European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), Porto, Portugal, Oct. 2005.

  21. Mining Hidden Community in Heterogeneous Social Networks [PDF]
    Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan and Jiawei Han.
    ACM SIGKDD Workshop on Link Discovery: Issues, Approaches and Applications (LinkKDD' 05), Chicago, IL, Aug. 2005.

  22. Block Level Link Analysis [PDF]
    Deng Cai, Xiaofei He, Ji-Rong Wen, and Wei-Ying Ma.
    ACM Conference on Information Retrieval (SIGIR), Sheffield, United Kingdom, July 2004.

  23. Locality Preserving Indexing for Document Representation [PDF]
    Xiaofei He, Deng Cai, Haifeng Liu, and Wei-Ying Ma.
    ACM Conference on Information Retrieval (SIGIR), Sheffield, United Kingdom, July 2004.

  24. Learning an Image Manifold for Retrieval [PDF]
    Xiaofei He, Wei-Ying Ma, and Hong-Jiang Zhang.
    ACM conference on Multimedia 2004, Oct. 10-16, 2004, New York City.

  25. Incremental Semi-Supervised Subspace Learning for Image Retrieval [PDF]
    Xiaofei He.
    ACM conference on Multimedia 2004, Oct. 10-16, 2004, New York City.

  26. Locality Preserving Clustering for Image Database [PDF]
    Xin Zheng, Deng Cai, Xiaofei He, Wei-Ying Ma, and Xueyin Lin.
    ACM conference on Multimedia 2004, Oct. 10-16, 2004, New York City.

  27. Hierarchical Clustering of WWW Image Search Results Using Visual, Textual and Link Analysis [PDF]
    Deng Cai, Xiaofei He, Zhiwei Li, Wei-Ying Ma, and Ji-Rong Wen.
    ACM conference on Multimedia 2004, Oct. 10-16, 2004, New York City.

  28. Spectral Analysis for Face Recognition [PDF]
    Xiaofei He, Shuicheng Yan, Yuxiao Hu, Haifeng Liu, and Hong-Jiang Zhang.
    The 6th Asian Conference on Computer Vision (ACCV), Korea, 2004.

  29. Organizing WWW Images Based on the Analysis of Page Layout and Web Link Structure [PDF]
    Deng Cai, Xiaofei He, Wei-Ying Ma, Ji-Rong Wen, and Hong-Jiang Zhang.
    IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, June 2004.

  30. Locality Preserving Projections [PDF]
    Xiaofei He, and Partha Niyogi.
    Advances in Neural Information Processing Systems 16 (NIPS), Vancouver, Canada, 2003.

  31. Learning a Locality Preserving Subspace for Visual Recognition [PDF]
    Xiaofei He, Shuicheng Yan, Yuxiao Hu, and Hong-Jiang Zhang.
    IEEE International Conference on Computer Vision (ICCV), Nice, France, 2003.

  32. Knowing a Tree from the Forest: Art Image Retrieval using a Society of Profiles [PDF]
    Kai Yu, Wei-Ying Ma, Volker Tresp, Z. Xu, Xiaofei He, Hong-Jiang Zhang, and H.-P. Kriegel.
    ACM conference on Multimedia, San Francisco, CA, Nov. 2-7, 2003.

  33. ImageRank: Spectral Techniques for Structural Analysis of Image Database [PDF]
    Xiaofei He, Wei-Ying Ma, and Hong-Jiang Zhang.
    IEEE International Conference on Multimedia and Expo (ICME), Baltimore, USA, July 2003

  34. Learning and Inferring a Semantic Space from User's Relevance Feedback for Image Retrieval [PDF]
    Xiaofei He, Wei-Ying Ma, Oliver King, Mingjing Li, and Hong-Jiang Zhang.
    ACM conference on Multimedia, Juan-les-Pins, France, Dec. 1-6, 2002.

Thesis

  1. Locality Preserving Projections
    Xiaofei He.
    PhD's thesis, Computer Science Department, The University of Chicago, 2005.

  2. Laplacian Eigenmaps for Image Retrieval
    Xiaofei He.
    Master's thesis, Computer Science Department, The University of Chicago, 2002.


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