Haibin Cheng

19 papers A* 6A 6B 1Misc 1Journal 1Unranked 4
YearRankTypeTitle / Venue / Authors
2018 A* conf
Real-time Personalization using Embeddings for Search Ranking at Airbnb.
KDD
Mihajlo Grbovic, Haibin Cheng
2012 — conf
Dynamic ad layout revenue optimization for display advertising.
AdKDD@KDD
Haibin Cheng, Eren Manavoglu, Ying Cui, Ruofei Zhang, Jianchang Mao
2012 A* conf
Multimedia features for click prediction of new ads in display advertising.
KDD
Haibin Cheng, Roelof van Zwol, Javad Azimi, Eren Manavoglu, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam
2012 A conf
Post-click conversion modeling and analysis for non-guaranteed delivery display advertising.
WSDM
Rómer Rosales, Haibin Cheng, Eren Manavoglu
2010 J jnl
Efficient Algorithm for Localized Support Vector Machine.
IEEE Trans. Knowl. Data Eng.
Haibin Cheng, Pang-Ning Tan, Rong Jin
2010 A conf
Personalized click prediction in sponsored search.
WSDM
Haibin Cheng, Erick Cantú-Paz
2009 A conf
Detection and Characterization of Anomalies in Multivariate Time Series.
SDM
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008 — conf
A Robust Graph-Based Algorithm for Detection and Characterization of Anomalies in Noisy Multivariate Time Series.
ICDM Workshops
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008 — conf
Data mining for visual exploration and detection of ecosystem disturbances.
GIS
Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster
2008 A* conf
Exploiting Local and Global Invariants for the Management of Large Scale Information Systems.
ICDM
Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira
2008 A* conf
Maximum Margin Active Learning for Sequence Labeling with Different Length.
ICDM
Haibin Cheng, Ruofei Zhang, Yefei Peng, Jianchang Mao, Pang-Ning Tan
2008 A* conf
Semi-supervised learning with data calibration for long-term time series forecasting.
KDD
Haibin Cheng, Pang-Ning Tan
2007 A conf
Localized Support Vector Machine and Its Efficient Algorithm.
SDM
Haibin Cheng, Pang-Ning Tan, Rong Jin
2007 — conf
Nonlinear Feature Selection by Relevance Feature Vector Machine.
MLDM
Haibin Cheng, Haifeng Chen, Guofei Jiang, Kenji Yoshihira
2007 A* conf
Recommendation via Query Centered Random Walk on K-Partite Graph.
ICDM
Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch
2006 A conf
A Novel Framework for Incorporating Labeled Examples into Anomaly Detection.
SDM
Jing Gao, Haibin Cheng, Pang-Ning Tan
2006 B conf
Multistep-Ahead Time Series Prediction.
PAKDD
Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps
2006 A conf
Semi-Supervised Clustering with Partial Background Information.
SDM
Jing Gao, Pang-Ning Tan, Haibin Cheng
2006 Misc conf
Semi-supervised outlier detection.
SAC
Jing Gao, Haibin Cheng, Pang-Ning Tan