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IBM T. J. Watson Research Lab / Florida International University
List of publications from the DBLP Bibliography Server - FAQother persons with the same name:
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| 86 |       | Fei Wang, Noah Lee, Jianying Hu, Jimeng Sun, Shahram Ebadollahi: Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach. KDD 2012: 453-461 |
| 85 | | Dijun Luo, Fei Wang, Jimeng Sun, Marianthi Markatou, Jianying Hu, Shahram Ebadollahi: SOR: Scalable Orthogonal Regression for Low-Redundancy Feature Selection and its Healthcare Applications. SDM 2012: 576-587 |
| 84 | | Peng Cui, Fei Wang, Lifeng Sun, Jianwei Zhang, Shi-Qiang Yang: A Matrix-Based Approach to Unsupervised Human Action Categorization. IEEE Transactions on Multimedia 14(1): 102-110 (2012) |
| 83 | | Gang Wang, Fei Wang, Tao Chen, Dit-Yan Yeung, Frederick H. Lochovsky: Solution Path for Manifold Regularized Semisupervised Classification. IEEE Transactions on Systems, Man, and Cybernetics, Part B 42(2): 308-319 (2012) |
| 82 | | Fei Wang, Peng Cui, Gordon Sun, Tat-Seng Chua, Shiqiang Yang: Guest editorial: Special issue on information retrieval for social media. Inf. Retr. 15(3-4): 179-182 (2012) |
| 81 | | Fei Wang, Ping Li, Arnd Christian König, Muting Wan: Improving clustering by learning a bi-stochastic data similarity matrix. Knowl. Inf. Syst. 32(2): 351-382 (2012) |
| 80 | | Fei Wang, Jimeng Sun, Shahram Ebadollahi: Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment. Statistical Analysis and Data Mining 5(1): 54-69 (2012) |
| 79 | | Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi: Automatic Group Sparse Coding. AAAI 2011 |
| 78 | | Peng Cui, Fei Wang, Shiqiang Yang, Lifeng Sun: Item-Level Social Influence Prediction with Probabilistic Hybrid Factor Matrix Factorization. AAAI 2011 |
| 77 | | Naeem Ramzan, Fei Wang, Charalampos Z. Patrikakis, Peng Cui, Nikolaos D. Doulamis, Shiqiang Yang, Gordon Sun: ACM international workshop on social and behavioral networked media access (SBNMA'11). ACM Multimedia 2011: 611-612 |
| 76 | | Noah Lee, Andrew F. Laine, Jianying Hu, Fei Wang, Jimeng Sun, Shahram Ebadollahi: Mining Electronic Medical Records to Explore the Linkage between Healthcare Resource Utilization and Disease Severity in Diabetic Patients. HISB 2011: 250-257 |
| 75 | | Fei Wang, Jimeng Sun, Shahram Ebadollahi: Integrating Distance Metrics Learned from Multiple Experts and its Application in Inter-Patient Similarity Assessment. SDM 2011: 59-70 |
| 74 | | Fei Wang, Ping Li, Arnd Christian König: Efficient Document Clustering via Online Nonnegative Matrix Factorizations. SDM 2011: 908-919 |
| 73 | | Fei Wang, Jimeng Sun, Jianying Hu, Shahram Ebadollahi: iMet: Interactive Metric Learning in Healthcare Applications. SDM 2011: 944-955 |
| 72 | | Peng Cui, Fei Wang, Shaowei Liu, Mingdong Ou, Shiqiang Yang, Lifeng Sun: Who should share what?: item-level social influence prediction for users and posts ranking. SIGIR 2011: 185-194 |
| 71 | | Dan Zhang, Fei Wang, Luo Si: Composite hashing with multiple information sources. SIGIR 2011: 225-234 |
| 70 | | Tao Li, Chris H. Q. Ding, Fei Wang: Guest editorial: special issue on data mining with matrices, graphs and tensors. Data Min. Knowl. Discov. 22(3): 337-339 (2011) |
| 69 | | Fei Wang, Tao Li, Xin Wang, Shenghuo Zhu, Chris H. Q. Ding: Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3): 493-521 (2011) |
| 68 | | Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu: Semisupervised Learning Using Negative Labels. IEEE Transactions on Neural Networks 22(3): 420-432 (2011) |
| 67 | | Dan Zhang, Fei Wang, Luo Si, Tao Li: Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering. IEEE Transactions on Neural Networks 22(5): 739-751 (2011) |
| 66 | | Fei Wang, Bin Zhao, Changshui Zhang: Unsupervised Large Margin Discriminative Projection. IEEE Transactions on Neural Networks 22(9): 1446-1456 (2011) |
| 65 | | Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang: Semi-supervised ranking aggregation. Inf. Process. Manage. 47(3): 415-425 (2011) |
| 64 | | Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang: Compressed Learning with Regular Concept. ALT 2010: 163-178 |
| 63 | | Fei Wang, Ping Li: Compressed Nonnegative Sparse Coding. ICDM 2010: 1103-1108 |
| 62 | | Fei Wang, Ping Li, Arnd Christian König: Learning a Bi-Stochastic Data Similarity Matrix. ICDM 2010: 551-560 |
| 61 | | Fei Wang, Ping Li: Efficient Nonnegative Matrix Factorization with Random Projections. SDM 2010: 281-292 |
| 60 | | Fei Wang, Bin Zhao, Changshui Zhang: Linear time maximum margin clustering. IEEE Transactions on Neural Networks 21(2): 319-332 (2010) |
| 59 | | Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang: Interactive localized content based image retrieval with multiple-instance active learning. Pattern Recognition 43(2): 478-484 (2010) |
| 58 | | Changshui Zhang, Fei Wang: A multilevel approach for learning from labeled and unlabeled data on graphs. Pattern Recognition 43(6): 2301-2314 (2010) |
| 57 | | Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao: Efficient multi-label classification with hypergraph regularization. CVPR 2009: 1658-1665 |
| 56 | | Fei Wang, Xin Wang, Tao Li: Beyond the graphs: Semi-parametric semi-supervised discriminant analysis. CVPR 2009: 2113-2120 |
| 55 | | Bin Zhao, James Tin-Yau Kwok, Fei Wang, Changshui Zhang: Unsupervised Maximum Margin Feature Selection with manifold regularization. CVPR 2009: 888-895 |
| 54 | | Fei Wang, Jimeng Sun, Tao Li, Nikos Anerousis: Two Heads Better Than One: Metric+Active Learning and its Applications for IT Service Classification. ICDM 2009: 1022-1027 |
| 53 | | Fei Wang, Xin Wang, Tao Li: Maximum Margin Clustering on Data Manifolds. ICDM 2009: 1028-1033 |
| 52 | | Fei Wang, Xin Wang, Tao Li: Semi-supervised Multi-task Learning with Task Regularizations. ICDM 2009: 562-568 |
| 51 | | Fei Wang, Tao Li: Knowledge Transformation by Cross-Domain Belief Propagation. ICDM Workshops 2009: 441-446 |
| 50 | | Fei Wang, Xin Wang, Tao Li: Generalized Cluster Aggregation. IJCAI 2009: 1279-1284 |
| 49 | | Fei Wang, Bin Zhang, Ta-Hsin Li, Wen Jun Yin, Jin Dong, Tao Li: Preference Learning with Extreme Examples. IJCAI 2009: 1285-1290 |
| 48 | | Dan Zhang, Fei Wang, Luo Si, Tao Li: M3IC: Maximum Margin Multiple Instance Clustering. IJCAI 2009: 1339-1344 |
| 47 | | Fei Wang, Xin Wang, Bo Shao, Tao Li, Mitsunori Ogihara: Tag Integrated Multi-Label Music Style Classification with Hypergraph. ISMIR 2009: 363-368 |
| 46 | | Fei Wang, Chris H. Q. Ding, Tao Li: Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations. SDM 2009: 38-48 |
| 45 | | Fei Wang, Changshui Zhang, Tao Li: Clustering with Local and Global Regularization. IEEE Trans. Knowl. Data Eng. 21(12): 1665-1678 (2009) |
| 44 | | Jingdong Wang, Fei Wang, Changshui Zhang, Helen C. Shen, Long Quan: Linear Neighborhood Propagation and Its Applications. IEEE Trans. Pattern Anal. Mach. Intell. 31(9): 1600-1615 (2009) |
| 43 | | Peng Cui, Lifeng Sun, Fei Wang, Shiqiang Yang: Contextual Mixture Tracking. IEEE Transactions on Multimedia 11(2): 333-341 (2009) |
| 42 | | Bin Zhao, Fei Wang, Changshui Zhang: Block-Quantized Support Vector Ordinal Regression. IEEE Transactions on Neural Networks 20(5): 882-890 (2009) |
| 41 | | Gang Chen, Fei Wang, Changshui Zhang: Collaborative filtering using orthogonal nonnegative matrix tri-factorization. Inf. Process. Manage. 45(3): 368-379 (2009) |
| 40 | | Fei Wang, Xin Wang: Neighborhood discriminant tensor mapping. Neurocomputing 72(7-9): 2035-2039 (2009) |
| 39 | | Yangqiu Song, Changshui Zhang, Jianguo Lee, Fei Wang, Shiming Xiang, Dan Zhang: Semi-supervised discriminative classification with application to tumorous tissues segmentation of MR brain images. Pattern Anal. Appl. 12(2): 99-115 (2009) |
| 38 | | Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li: marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition 42(11): 2863-2875 (2009) |
| 37 |  | Fei Wang, Changshui Zhang: On Discriminative Semi-Supervised Classification. AAAI 2008: 720-725 |
| 36 | | Fei Wang, Tao Li, Gang Wang, Changshui Zhang: Semi-supervised Classification Using Local and Global Regularization. AAAI 2008: 726-731 |
| 35 | | Bin Zhang, Fei Wang, Ta-Hsin Li, Wen Jun Yin, Jin Dong: Classification by Discriminative Regularization. AAAI 2008: 746-751 |
| 34 | | Dan Zhang, Fei Wang, Changshui Zhang, Tao Li: Multi-View Local Learning. AAAI 2008: 752-757 |
| 33 | | Shouchun Chen, Fei Wang, Yangqiu Song, Changshui Zhang: Semi-supervised ranking aggregation. CIKM 2008: 1427-1428 |
| 32 | | Fei Wang, Shouchun Chen, Changshui Zhang, Tao Li: Semi-supervised metric learning by maximizing constraint margin. CIKM 2008: 1457-1458 |
| 31 | | Bin Zhao, Fei Wang, Changshui Zhang, Yangqiu Song: Active model selection for Graph-Based Semi-Supervised Learning. ICASSP 2008: 1881-1884 |
| 30 | | Bin Zhao, Fei Wang, Changshui Zhang: Maximum Margin Embedding. ICDM 2008: 1127-1132 |
| 29 | | Peng Cui, Fei Wang, Lifeng Sun, Shi-Qiang Yang: A Joint Matrix Factorization Approach to Unsupervised Action Categorization. ICDM 2008: 767-772 |
| 28 | | Dan Zhang, Fei Wang, Zhenwei Shi, Changshui Zhang: Localized content based image retrieval by multiple instance active learning. ICIP 2008: 921-924 |
| 27 | | Bin Zhao, Fei Wang, Changshui Zhang: Efficient multiclass maximum margin clustering. ICML 2008: 1248-1255 |
| 26 | | Bin Zhao, Fei Wang, Changshui Zhang: Cuts3vm: a fast semi-supervised svm algorithm. KDD 2008: 830-838 |
| 25 | | Fei Wang, Tao Li, Changshui Zhang: Semi-Supervised Clustering via Matrix Factorization. SDM 2008: 1-12 |
| 24 | | Dan Zhang, Jingdong Wang, Fei Wang, Changshui Zhang: Semi-Supervised Classification with Universum. SDM 2008: 323-333 |
| 23 | | Gang Chen, Yangqiu Song, Fei Wang, Changshui Zhang: Semi-supervised Multi-label Learning by Solving a Sylvester Equation. SDM 2008: 410-419 |
| 22 | | Bin Zhao, Fei Wang, Changshui Zhang: Efficient Maximum Margin Clustering via Cutting Plane Algorithm. SDM 2008: 751-762 |
| 21 | | Fei Wang, Changshui Zhang: Label Propagation through Linear Neighborhoods. IEEE Trans. Knowl. Data Eng. 20(1): 55-67 (2008) |
| 20 | | Fei Wang, Changshui Zhang: Semisupervised Learning Based on Generalized Point Charge Models. IEEE Transactions on Neural Networks 19(7): 1307-1311 (2008) |
| 19 | | Fei Wang, Changshui Zhang, Tao Li: Clustering with Local and Global Regularization. AAAI 2007: 657-662 |
| 18 | | Fei Wang, Tao Li: Gene Selection via Matrix Factorization. BIBE 2007: 1046-1050 |
| 17 | | Fei Wang, Changshui Zhang: Feature Extraction by Maximizing the Average Neighborhood Margin. CVPR 2007 |
| 16 | | Liang Xiong, Fei Wang, Changshui Zhang: Semi-definite Manifold Alignment. ECML 2007: 773-781 |
| 15 | | Liang Xiong, Fei Wang, Changshui Zhang: Multilevel Belief Propagation for Fast Inference on Markov Random Fields. ICDM 2007: 371-380 |
| 14 | | Gang Chen, Fei Wang, Changshui Zhang: Collaborative Filtering Using Orthogonal Nonnegative Matrix Tri-factorization. ICDM Workshops 2007: 303-308 |
| 13 | | Shouchun Chen, Fei Wang, Changshui Zhang: Simultaneous Heterogeneous Data Clustering Based on Higher Order Relationships. ICDM Workshops 2007: 387-392 |
| 12 | | Fei Wang, Xin Wang, Tao Li: Efficient label propagation for interactive image segmentation. ICMLA 2007: 136-141 |
| 11 | | Xiaofeng Tong, Tao Wang, Wenlong Li, Yimin Zhang, Bo Yang, Fei Wang, Lifeng Sun, Shiqiang Yang: A Three-Level Scheme for Real-Time Ball Tracking. MCAM 2007: 161-171 |
| 10 | | Fei Wang, Changshui Zhang: Fast Multilevel Transduction on Graphs. SDM 2007 |
| 9 | | Fei Wang, Changshui Zhang, Tao Li: Regularized clustering for documents. SIGIR 2007: 95-102 |
| 8 | | Fei Wang, Shijun Wang, Changshui Zhang, Ole Winther: Semi-Supervised Mean Fields. Journal of Machine Learning Research - Proceedings Track 2: 596-603 (2007) |
| 7 | | Fei Wang, Changshui Zhang: Robust self-tuning semi-supervised learning. Neurocomputing 70(16-18): 2931-2939 (2007) |
| 6 | | Fei Wang, Jingdong Wang, Changshui Zhang, James T. Kwok: Face recognition using spectral features. Pattern Recognition 40(10): 2786-2797 (2007) |
| 5 | | Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong Wang: Semi-Supervised Classification Using Linear Neighborhood Propagation. CVPR (1) 2006: 160-167 |
| 4 | | Fei Wang, Sheng Ma, Liuzhong Yang, Tao Li: Recommendation on Item Graphs. ICDM 2006: 1119-1123 |
| 3 | | Fei Wang, Changshui Zhang: Label propagation through linear neighborhoods. ICML 2006: 985-992 |
| 2 | | Fei Wang, Changshui Zhang: Spectral Clustering for Time Series. ICAPR (1) 2005: 345-354 |
| 1 | | Fei Wang, Changshui Zhang, Naijiang Lu: Boosting GMM and Its Two Applications. Multiple Classifier Systems 2005: 12-21 |
Selection of 86 from 86 records - Fei Wang has 69 coauthors
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