Overview

Taifeng Wang(王太峰) is now an associate researcher in Internet Economics and Computational Advertising group, Microsoft Research Asia. He has been working on internet advertising since Sep, 2010. His research focuses on modeling users' behavior in ads system and help the search engine deliver better ads. The research topics include ads click prediction, user behavior targetting, ads optimization etc. He is also interested in machine learning, data mining and HCI design.

Before working on ads, he has developed a large scale graph learning platform (codename: Graphor) which is going to handle learning and mining tasks on graphs with billions of node. He has worked on the Graphor project for three years. He has got several papers published on large scale graph learning, as long as several US patents filed regarding to distributed system.

He joined MSRA in July 2006. He got his Master(2006) degree and BS(2003) degree in Electronic Engineering from University of Science and Technology of China. He has been with MSRA as a research intern from Mar. 2005 to Jan. 2006. During his internship, he worked on news search and text mining related topics.

Publications

Computational Advertising

• [New] A paper titled Exploring Consumer Psychology for Click Prediction in Sponsored Search was accepted by KDD 2013
• Chenyan Xiong, Taifeng Wang, Wenkui Ding, Yidong Shen, and Tie-Yan Liu, Relational click prediction for sponsored search, in Proceedings of the fifth ACM international conference on Web search and data mining, February 2012 (WSDM 2012)

Graph Mining & Ranking

• Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang, and Hang Li, Semi-Supervised Ranking on Very Large Graphs with Rich Metadata, in Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, Association for Computing Machinery, Inc., August 2011 (KDD 2011)
• Bin Gao, Tie-Yan Liu, Yuting Liu, Taifeng Wang, Zhi-Ming Ma, and Hang Li, Page Importance Computation based on Markov Processes, in Information Retrieval Journal, Springer Verlag, 2011 (IRJ 2011)
• Bin Gao, Tie-Yan Liu, Zhiming Ma, Taifeng Wang, and Hang Li, A general markov framework for page importance computation, in Proceeding of the 18th ACM conference on Information and knowledge management , Association for Computing Machinery, Inc., 2009 (CIKM 2009)

Multimedia & HCI

• Xiaoguang Rui, Nenghai Yu, Taifeng Wang, Mingjing Li: A Search-Based Web Image Annotation Method. ICME 2007: 655-658 (ICME 2007)
• Taifeng Wang, Nenghai Yu, Zhiwei Li, Mingjing Li: nReader: reading news quickly, deeply and vividly. CHI Extended Abstracts 2006: 1385-1390 (SIGCHI 2006)

Tutorials

• Bin Gao, Taifeng Wang, and Tie-Yan Liu, Large-Scale Graph Mining and Learning for Information Retrieval. A half-day tutorial in the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012)
• Bin Gao, Taifeng Wang, and Tie-Yan Liu, Ranking on Large-Scale Graphs with Rich Metadata. A half-day tutorial in the 20th International World Wide Web Conference (WWW 2011).

Academic Activity:

• PC member of IJCAI 2013
• PC of KDD 2012 demonstrations
• Poster PC of SIGIR 2013, 2012, 2011
• PC of AIRS2011
• PC of WWW 2011 
• PC of SIGIR 2010

Email: taifengw (a) microsoft.com
Mailing address: 13/F, Microsoft Tower 2, No.5, Dianling Street, Haidian District, Beijing, 100080, P. R. China.

Current Interns

• Yuyu Zhang (WHU->CAS)
• Jun Feng (WHU->Tsinghua)
• Shaosheng Cao (XDU)

Previous Interns

• SeungKeol Kim (POSTECH)
• Shusen Liu (SCUT)
• Huan Gui (PKU->UIUC)
• Jaeyong Lee (POSTECH)
• Chenyan Xiong (CAS->CMU)
• Feichao Ma (PUK)
• Xin Li (Tsinghua)
• Jianshan He (PKU)
• Chenjing Wang (BIT)
• Shijie Xu (BUAA)
• Yanliang Cai (PKU)
• Chao Feng (PKU)
• Zhicheng Yin (PKU)
• Shuai Yuan (BUAA->UCL)
• Diwen Zhu (Fudan->Columbia)
• Jin Zhou (USTC)
• Jingrui Chen (USTC)
• Liang Tang (BIT)
• Ming Yang (Tsinghua)
• Minghao Liu (PKU)
• Zhi Chen (Tsinghua)