Haibin Cheng

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2010
15Efficient Algorithm for Localized Support Vector Machine. Haibin Cheng, Pang-Ning Tan, Rong Jin. IEEE Trans. Knowl. Data Eng. (22): 537-549 (2010). Web SearchBibTeXDownload
14Personalized click prediction in sponsored search. Haibin Cheng, Erick Cantú-Paz. WSDM 2010, 351-360. Web SearchBibTeXDownload
2009
13Detection and Characterization of Anomalies in Multivariate Time Series. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. SDM 2009, 413-424. Web SearchBibTeXDownload
2008
12Data mining for visual exploration and detection of ecosystem disturbances. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. GIS 2008, 60. Web SearchBibTeXDownload
11Exploiting Local and Global Invariants for the Management of Large Scale Information Systems. Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira. ICDM 2008, 113-122. Web SearchBibTeXDownload
10Maximum Margin Active Learning for Sequence Labeling with Different Length. Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan. ICDM 2008, 345-359. Web SearchBibTeXDownload
9A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster. ICDM Workshops 2008, 349-358. Web SearchBibTeXDownload
8Semi-supervised learning with data calibration for long-term time series forecasting. Haibin Cheng, Pang-Ning Tan. KDD 2008, 133-141. Web SearchBibTeXDownload
2007
7Recommendation via Query Centered Random Walk on K-Partite Graph. Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch. ICDM 2007, 457-462. Web SearchBibTeXDownload
6Nonlinear Feature Selection by Relevance Feature Vector Machine. Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira. MLDM 2007, 144-159. Web SearchBibTeXDownload
5Localized Support Vector Machine and Its Efficient Algorithm. Haibin Cheng, Pang-Ning Tan, Rong Jin. SDM 2007. Web SearchBibTeXDownload
2006
4Multistep-Ahead Time Series Prediction. Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps. PAKDD 2006, 765-774. Web SearchBibTeXDownload
3Semi-supervised outlier detection. Jing Gao, Haibin Cheng, Pang-Ning Tan. SAC 2006, 635-636. Web SearchBibTeXDownload
2A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. Jing Gao, Haibin Cheng, Pang-Ning Tan. SDM 2006. Web SearchBibTeXDownload
1Semi-Supervised Clustering with Partial Background Information. Jing Gao, Pang-Ning Tan, Haibin Cheng. SDM 2006. Web SearchBibTeXDownload
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