- My paper "Large Scale Behavioral Targeting with a Social Twist" has been accepted by ACM CIKM 2011 conference. (07/19/11). new!
- 2011 SIGMOD Tutorial: Privacy-aware Data Management in Information Networks. [slides available now] new!

- 2010 SIGKDD Tutorial: Privacy-aware Data Mining in Information Networks.
- 2010 IEEE International Workshop on Privacy Aspects of Data Mining (PADM), Syndey, Australia. December 13, 2010 !
- I received Yahoo! Display Advertising Team Award for my contribution to the RTM migration project. (07/2010)
- I received Yahoo! You Rock Team Award (04/2010)
- The extended version of our paper "A Framework for Computing the Privacy Scores of Users in Online Social Networks" has been accepted for publication by ACM Transactions on Knoweldge Discovery from Data (TKDD). (04/21/2010)
- I received Yahoo! Display Advertising Team Award for my contribution to the Behavioral Targeting Project. (04/2010)
- Our paper "A Framework for Computing the Privacy Scores of Users in Online Social Networks" has been accepted by IEEE ICDM 2009. (09/04/09).
- Finally, our paper "On the Privacy of Euclidean Distance Preserving Data Perturbation" is released. You can download it from arXiv.
- Our paper "Finding a Team of Experts in Social Networks" has been accepted by ACM SIGKDD 2009. (04/09/09)
- The extended version of our demo paper "Highlighting Diverse Concepts in Documents" has been accepted by SDM 2009. (12/12/08).
- Our demo "ManyAspects: A System for Highlighting Diverse Concepts in Documents" has been accepted by VLDB 2008. (05/24/08)
- Our paper "Towards Identity Anonymization on Graphs" has been accepted for publication on SIGMOD 2008. (02/17/08)
- Our paper "Distributed Identification of Top-l Inner Product Elements and its Application in a Peer-to-Peer Network" has been accepted for publication on IEEE Transactions on Knowledge and Data Engineering (TKDE) (10/04/07).
- Our book chapter "A survey of attack techniques on privacy-preserving data perturbation methods" has been accepted for publication in "Privacy-Preserving Data Mining: Models and Algorithms," edited by Charu Aggarwal and Philip S Yu. (08/21/07).
- Our paper "Multi-Party, Privacy-Preserving Data Mining using a Game Theoretic Framework" has been accepted by PKDD 2007. (06/14/07)
- Our paper "Client-side Web Mining for Community Formation in Peer-to-Peer Environments with Privacy Constraints" was selected as the Most Interesting paper of WebKDD'06 and published on ACM SIGKDD Explorations Volume 8, Issue 2. (03/09/07)
- I am now a member of the Intelligent Information Systems group at the IBM Almaden Research Center. (01/29/07)
- Passed Ph.D. Dissertation Defense -- Multiplicative Data Perturbation for Privacy Preserving Data Mining ^_^ [snapshot of the defense] (01/15/07)
- Playing with Google Map API :) -- cities and places I have visited before. (12/08/06)
- Won graduate school dissertation fellowship award. (08/07/06).
- Java code for Paillier's cryptosystem (homomorhpic properties). (07/01/06). If the code looks messed up in your browser, click the refresh button. (accessed times)
- Check out the new Privacy Preserving Data Mining Bibliography (04/29/06).
                                                                                                                           

I am currently working at Yahoo! Labs as a Scientist, focusing on problems related to computational advertising (e.g., behavioral targeting).

Before joining Yahoo, I was a Postdoctoral Researcher at IBM Almaden Research Center (01/2007-06/2009) working on privacy-preserving social-network analysis and text analytics.  My contributions to these projects have won me five IBM Invention Achievement Awards (five patent filings) , one IBM Invention Plateau Award and one IBM Bravo Award.

I received a Ph.D. degree in Computer Science from University of Maryland Baltimore County (USA) in 2007, and a B.S. in Computer Science from Nankai University (China) in 2001. My research interests include privacy-preserving data mining, social-network analysis, text analytics, distributed data mining and statistical machine learning. I have authored or co-authored 20+ peer-reviewed papers and book chapters in these areas. I regularly serve on the program committee of many data mining conferences (e.g., KDD, ICDM, PKDD, PAKDD), and as a reviewer of many scientific journals (e.g., IEEE TKDE, ACM TKDD). I am also maintaining the Privacy-preserving Data Mining (PPDM) Bibliography, one of the most popular PPDM paper repositories in the research community. Please visit my research webpage for more information.
                                                                                                                           

Yahoo! Labs,
4301 Great America Parkway,
Santa Clara, CA 95054

Facebook: http://www.facebook.com/kunliu1
LinkedIn: http://www.linkedin.com/in/kunliu1 
Email: kunliu1 (at) gmail.com