Haibin Cheng

	2012
16		Rómer Rosales, Haibin Cheng, Eren Manavoglu: Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. WSDM 2012: 293-302
	2010
15		Haibin Cheng, Erick Cantú-Paz: Personalized click prediction in sponsored search. WSDM 2010: 351-360
14		Haibin Cheng, Pang-Ning Tan, Rong Jin: Efficient Algorithm for Localized Support Vector Machine. IEEE Trans. Knowl. Data Eng. 22(4): 537-549 (2010)
	2009
13		Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: Detection and Characterization of Anomalies in Multivariate Time Series. SDM 2009: 413-424
	2008
12		Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: Data mining for visual exploration and detection of ecosystem disturbances. GIS 2008: 60
11		Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira: Exploiting Local and Global Invariants for the Management of Large Scale Information Systems. ICDM 2008: 113-122
10		Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan: Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM 2008: 345-359
9		Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster: A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. ICDM Workshops 2008: 349-358
8		Haibin Cheng, Pang-Ning Tan: Semi-supervised learning with data calibration for long-term time series forecasting. KDD 2008: 133-141
	2007
7		Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch: Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM 2007: 457-462
6		Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira: Nonlinear Feature Selection by Relevance Feature Vector Machine. MLDM 2007: 144-159
5		Haibin Cheng, Pang-Ning Tan, Rong Jin: Localized Support Vector Machine and Its Efficient Algorithm. SDM 2007
	2006
4		Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps: Multistep-Ahead Time Series Prediction. PAKDD 2006: 765-774
3		Jing Gao, Haibin Cheng, Pang-Ning Tan: Semi-supervised outlier detection. SAC 2006: 635-636
2		Jing Gao, Haibin Cheng, Pang-Ning Tan: A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SDM 2006
1		Jing Gao, Pang-Ning Tan, Haibin Cheng: Semi-Supervised Clustering with Partial Background Information. SDM 2006

Coauthor Index

1	Erick Cantú-Paz	[15]
2	Haifeng Chen	[6] [11]
3	Jing Gao	[1] [2] [3] [4]
4	Guofei Jiang	[6] [11]
5	Rong Jin	[5] [14]
6	Steven A. Klooster	[9] [12] [13]
7	Eren Manavoglu	[16]
8	Jianchang Mao	[10]
9	Yefei Peng	[10]
10	Christopher Potter	[9] [12] [13]
11	William F. Punch (William F. Punch III)	[7]
12	Rómer Rosales	[16]
13	Jerry Scripps	[4]
14	Jon Sticklen	[7]
15	Pang-Ning Tan	[1] [2] [3] [4] [5] [7] [8] [9] [10] [12] [13] [14]
16	Kenji Yoshihira	[6] [11]
17	Ruofei Zhang	[10]

Colors in the list of coauthors

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