| 2018 | KDD | Real-time Personalization using Embeddings for Search Ranking at Airbnb. | Mihajlo Grbovic, Haibin Cheng |
| 2012 | KDD | Multimedia features for click prediction of new ads in display advertising. | Haibin Cheng, Roelof van Zwol, Javad Azimi, Eren Manavoglu, Ruofei Zhang, Yang Zhou, Vidhya Navalpakkam |
| 2012 | WSDM | Post-click conversion modeling and analysis for non-guaranteed delivery display advertising. | Rmer Rosales, Haibin Cheng, Eren Manavoglu |
| 2010 | WSDM | Personalized click prediction in sponsored search. | Haibin Cheng, Erick Cant-Paz |
| 2009 | SDM | Detection and Characterization of Anomalies in Multivariate Time Series. | Haibin Cheng, Pang-Ning Tan, Christopher Potter, Steven A. Klooster |
| 2008 | ICDM | Exploiting Local and Global Invariants for the Management of Large Scale Information Systems. | Haifeng Chen, Haibin Cheng, Guofei Jiang, Kenji Yoshihira |
| 2008 | ICDM | A 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 |
| 2008 | KDD | Semi-supervised learning with data calibration for long-term time series forecasting. | Haibin Cheng, Pang-Ning Tan |
| 2007 | ICDM | Recommendation via Query Centered Random Walk on K-Partite Graph. | Haibin Cheng, Pang-Ning Tan, Jon Sticklen, William F. Punch |
| 2007 | SDM | Localized Support Vector Machine and Its Efficient Algorithm. | Haibin Cheng, Pang-Ning Tan, Rong Jin |
| 2006 | PAKDD | Multistep-Ahead Time Series Prediction. | Haibin Cheng, Pang-Ning Tan, Jing Gao, Jerry Scripps |
| 2006 | SAC | Semi-supervised outlier detection. | Jing Gao, Haibin Cheng, Pang-Ning Tan |
| 2006 | SDM | A Novel Framework for Incorporating Labeled Examples into Anomaly Detection. | Jing Gao, Haibin Cheng, Pang-Ning Tan |
| 2006 | SDM | Semi-Supervised Clustering with Partial Background Information. | Jing Gao, Pang-Ning Tan, Haibin Cheng |