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Haibin Cheng
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2010 – 2019
- 2018
- [c18]Mihajlo Grbovic, Haibin Cheng:
Real-time Personalization using Embeddings for Search Ranking at Airbnb. KDD 2018: 311-320 - 2012
- [c17]Haibin Cheng, Eren Manavoglu, Ying Cui, Ruofei Zhang
, Jianchang Mao:
Dynamic ad layout revenue optimization for display advertising. AdKDD@KDD 2012: 9:1-9:9 - [c16]Haibin Cheng, Roelof van Zwol, Javad Azimi, Eren Manavoglu, Ruofei Zhang
Multimedia features for click prediction of new ads in display advertising. KDD 2012: 777-785 - [c15]Rómer Rosales, Haibin Cheng, Eren Manavoglu:
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. WSDM 2012: 293-302 - 2010
- [j1]Haibin Cheng, Pang-Ning Tan
Efficient Algorithm for Localized Support Vector Machine. IEEE Trans. Knowl. Data Eng. 22(4): 537-549 (2010) - [c14]Haibin Cheng, Erick Cantú-Paz:
Personalized click prediction in sponsored search. WSDM 2010: 351-360
2000 – 2009
- 2009
- [c13]Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster:
Detection and Characterization of Anomalies in Multivariate Time Series. SDM 2009: 413-424 - 2008
- [c12]Haibin Cheng, Pang-Ning Tan
Data mining for visual exploration and detection of ecosystem disturbances. GIS 2008: 60 - [c11]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 - [c10]Haibin Cheng, Pang-Ning Tan
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series. ICDM Workshops 2008: 349-358 - [c9]Haibin Cheng, Ruofei Zhang
Maximum Margin Active Learning for Sequence Labeling with Different Length. ICDM 2008: 345-359 - [c8]Haibin Cheng, Pang-Ning Tan
Semi-supervised learning with data calibration for long-term time series forecasting. KDD 2008: 133-141 - 2007
- [c7]Haibin Cheng, Pang-Ning Tan
Recommendation via Query Centered Random Walk on K-Partite Graph. ICDM 2007: 457-462 - [c6]Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira:
Nonlinear Feature Selection by Relevance Feature Vector Machine. MLDM 2007: 144-159 - [c5]Haibin Cheng, Pang-Ning Tan
Localized Support Vector Machine and Its Efficient Algorithm. SDM 2007: 461-466 - 2006
- [c4]Haibin Cheng, Pang-Ning Tan
Multistep-Ahead Time Series Prediction. PAKDD 2006: 765-774 - [c3]Jing Gao, Haibin Cheng, Pang-Ning Tan
Semi-supervised outlier detection. SAC 2006: 635-636 - [c2]Jing Gao, Pang-Ning Tan
Semi-Supervised Clustering with Partial Background Information. SDM 2006: 489-493 - [c1]Jing Gao, Haibin Cheng, Pang-Ning Tan
A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. SDM 2006: 594-598
Coauthor Index
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