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Research Area: Web Information Management |
Profile
Bee-Chung joined Yahoo! in March 2008 as a research scientist in the Web Information Management group. His research interests include large-scale data analysis, modeling, mining and management, and also data privacy. He received his Ph.D. from the University of Wisconsin – Madison, under the supervision of Raghu Ramakrishnan, and M.S. and B.S. degrees from National Taiwan University in Taipei, Taiwan.
Recent Publications, Projects and News
- Explore/Exploit Schemes for Web Content Optimization (best paper award) Deepak Agarwal; Bee-Chung Chen; Pradheep Elango, IEEE International Conference on Data Mining, 2009 [view abstract]
- Regression based Latent Factor Models Deepak Agarwal; Bee-Chung Chen, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2009 [view abstract]
- Spatio-Temporal Models for Estimating Click-through Rate Deepak Agarwal; Bee-Chung Chen; Pradheep Elango, The 18th International World Wide Web Conference, 2009 [view abstract]
- Bellwether Analysis: Searching for Cost-Effective Query-defined Predictors in Large Databases Bee-Chung Chen; Raghu Ramakrishnan; Jude W. Shavlik; Pradeep Tamma, ACM Transactions on Knowledge Discovery from Data, 2009, 1 [view abstract]
- Adversarial-Knowledge Dimensions in Data Privacy Bee-Chung Chen; Kristen LeFevre; Raghu Ramakrishnan, International Journal on Very Large Data Bases, 2009, 2 [view abstract]
- Privacy-Preserving Data Publishing (Survey) Bee-Chung Chen; Daniel Kifer; Kristen Lefevre; Ashwin Machanavajjhala, Foundations and Trends in Databases, 2009 [view abstract]