Postoctoral Research Associate                                            

School of Computing & Information Sciences

Florida International University

ECS 251, Miami, FL, 33199

Phone: 305-348-1218

Email: feiwang at cs.fiu.edu

[Honors and Awards][Professional Activities][Talks][CV][Links][Photos]

 Selected Publications (Full List)

   Journal Papers

  • Fei Wang, Changshui Zhang, Tao Li. Clustering with Local and Global Regularization. IEEE Transactions on Knowledge and Data Engineering (TKDE). To Appear. 2009.
  • Bin Zhao, Fei Wang, Changshui Zhang. Block Quantized Support Vector Ordinal Regression.
    IEEE Transactions on Neural Networks (TNN). To Appear. 2009.
  • Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang. Contextual Mixture Tracking. IEEE Transactions on Multimedia (TMM). To Appear. 2009.
  • Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan. Linear Neighborhood Propagation and Its Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). To Appear. 2009 [PDF]
  • Fei Wang, Changshui Zhang. Semi-supervised Learning Based on Generalized Point Charge Models. IEEE Transactions on Neural Networks (TNN). vol. 19, no.7, 1307-1311. 2008. [PDF]
  • Fei Wang, Changshui Zhang. Label Propagation Through Linear Neighborhoods. IEEE Transactions on Knowledge and Data Engineering (TKDE). vol.20, no.1, 55-67. 2008. [PDF]

    Conference Papers

  • Fei Wang, Xin Wang, Tao Li. Generalized Cluster Aggregation. The 21st International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, California, USA. To Appear. 2009. Acceptance rate: 331/1290 = 25.7% [PDF]
  • Fei Wang, Bin Zhang, Ta-Hsin Li, Wen jun Yin, Jin Dong, Tao Li. Preference Learning with Extreme Examples. The 21st International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, California, USA. To Appear. 2009. Acceptance rate: 331/1290 = 25.7% [PDF]
  • Dan Zhang, Fei Wang, Luo Si, Tao Li. Maximum Margin Multiple Instance Clustering. The 21st International Joint Conference on Artificial Intelligence (IJCAI). Pasadena, California, USA. To Appear. 2009. Acceptance rate: 331/1290 = 25.7% [PDF]
  • Fei Wang, Xin Wang, Tao Li. Beyond the Graphs: Semi-Parametric Semi-Supervised Discriminant Analysis. IEEE Computer Scociety Conference on Computer Vision and Pattern Recognition (CVPR). Miami, Florida, USA. To Appear. 2009. Acceptance rate: 383/1464 = 26.16% [PDF]
  • Bin Zhao, James Kwok, Fei Wang, Changshui Zhang. Unsupervised Maximum Margin Feature Selection with Manifold Regularization. IEEE Computer Scociety Conference on Computer Vision and Pattern Recognition (CVPR). Miami, Florida, USA. To Appear. 2009. Acceptance rate: 383/1464 = 26.16%. [PDF]
  • Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao. Efficient Multi-Label Classification with Hypergraph Regularization. IEEE Computer Scociety Conference on Computer Vision and Pattern Recognition (CVPR). Miami, Florida, USA. To Appear. 2009. Acceptance rate: 383/1464 = 26.16% [PDF]
  • Fei Wang, Chris Ding, Tao Li. Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. Proc. The 9th SIAM Conference on Data Mining (SDM). Sparks, Nevada. 38-48. 2009. Acceptance rate: 55/351 = 15.67% [PDF]
  • Bin Zhao, Fei Wang, Changshui Zhang. CutS3VM: A Fast Semi-Supervised SVM Algorithm. The ACM 14 th SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 830-838. Las Vegas, Nevada, USA. 2008. Acceptance rate: 50/500 = 10% [PDF]
  • Bin Zhao, Fei Wang, Changshui Zhang. Efficient Multi-Class Maximum Margin Clustering. The 25th International Conference on Machine Learning (ICML). Helsinki, Finland, 1248-1255. 2008. 
    Acceptance rate: 155/583 = 26.59% [PDF]
  • Fei Wang, Changshui Zhang. On Discriminative Semi-supervised Classification. The 23rd AAAI Conference on Artificial Intelligence (AAAI), 720-725, July 13-17, Chicago, Illinois, USA. 2008. 
    Acceptance rate: 227/937 = 24.23%.     [    PDF]
  • Fei Wang, Tao Li, Gang Wang, Changshui Zhang. Semi-supervised Classification Using Local and Global Regularization. The 23rd AAAI Conference on Artificial Intelligence (AAAI), 726-731, July 13-17, Chicago, Illinois, USA. 2008. Acceptance rate: 227/937 = 24.23% [PDF]
  • Dan Zhang, Fei Wang, Changshui Zhang, Tao Li. Multi-view Local Learning.The 23rd AAAI Conference on Artificial Intelligence (AAAI), 752-757, July 13-17, Chicago, Illinois, USA. 2008. 
    Acceptance rate: 227/937 = 24.23%. [    PDF]
  • Bin Zhang, Fei Wang, Ta-Hsin Li, Wen jun Yin, Jin Dong. Classification by Discriminative Regularization. The 23rd AAAI Conference on Artificial Intelligence (AAAI), 746-751. July 13-17, Chicago, Illinois, USA. 2008. Acceptance rate: 227/937 = 24.23%. [PDF]
  • Bin Zhao, Fei Wang, Changshui Zhang. Efficient Maximum Margin Clustering Via the Cutting Plane Algorithm. The 8th SIAM Conference on Data Mining (SDM), 751-762. Hyatt Regency Hotel, Atlanta, Georgia. 2008. Acceptance rate: 40/282 = 14.18%. [PDF]
  • Fei Wang, Tao Li, Changshui Zhang. Semi-Supervised Clustering via Matrix Factorization. The 8th SIAM Conference on Data Mining (SDM), 1-12. Hyatt Regency Hotel, Atlanta, Georgia. 2008. Acceptance rate: 40/282 = 14.18% [PDF]  
  • Liang Xiong, Fei Wang, Changshui Zhang. Multilevel Belief Propagation for Fast Inference on Markov Random Fields. Proceedings of the 7th IEEE International Conference on Data Mining (ICDM), 371-380. Omaha, USA. 2007. Acceptance rate:38/526 = 7.22% [PDF]
  • Liang Xiong, Fei Wang, Changshui Zhang. Semi-Definite Manifold Alignment. Proceedings of the 18th European Conference on Machine Learning (ECML), 773-781, Warsaw, Poland. 2007.
    Acceptance rate:    119/592 = 19.93% [PDF][Poster]
  • Fei Wang, Changshui Zhang, Tao Li. Regularized Clustering for Documents. Proceedings of the 30th Annual International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR), 95-102, Amsterdam. 2007. Acceptance rate:86/491 = 17.52% [PDF][Data]
  • Fei Wang, Changshui Zhang, Tao Li. Clustering with Local and Global Regularization. Proceedings of the 22nd National Conference on Artificial Intelligence (AAAI), 657-662, Vancouver, Canada. 2007. Acceptance rate:253/921 = 27.47% [PDF]
  • Fei Wang, Changshui Zhang. Feature Extraction by Maximizing the Average Neighborhood Margin. Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, Minneapolis, Minnesota, 2007. Acceptance rate:350/1250 = 28% [PDF]
  • Fei Wang, Changshui Zhang. Fast Multilevel Transduction on Graphs. The 7th SIAM Conference on Data Mining (SDM). Radisson University Hotel, Minneapolis, Minnesota. To Appear. 2007. 
    Acceptance rate: 36/302 = 11.92% [    PDF]
  • Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther. Semi-Supervised Mean Fields. The 11th International Conference on Artificial Intelligence and Statistics (AISTATS). JMLR Workshop and Conference Proceedings Volume 2: AISTATS 2007, pages: 596-603. San Juan, Puerto Rico, 2007. 
    [    PDF][Poster]
  • Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li. Recommendation on Item Graphs. Proceedings of the 6th IEEE International Conference on Data Mining (ICDM). Hongkong, China. 1119-1123. 18-22, Dec. 2006.  Acceptance rate: 152/776 = 19.59% [PDF][Slides]
  • Fei Wang, Jingdong Wang, Changshui Zhang and Helen C. Shen.  Semi-Supervised Classification Using Linear Neighborhood Propagation.  Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1, pp.160-167. New York University, New York, New York, USA, June 17-22, 2006. Acceptance rate:319/1131 = 28.21%
    [PDF][Poster]
  • Fei Wang, Changshui Zhang. Label Propagation Through Linear Neighborhoods. Proceedings of the 23rd International Conference on Machine Learning (ICML), pp985-992. Carnegie Mellon University, Pittsburgh, Pennsylvania,  USA, June 25-29,2006. Acceptance rate:140/700 = 20%
    [    PDF][Slides][Poster][Code]     

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