Taifeng Wang

Overview

Taifeng Wang(王太峰) is now a 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]Yuyu Zhang, Hanjun Dai, Chang Xu, Taifeng Wang, Jiang Bian and Tie-Yan Liu, Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks ,accepted by AAAI 2014
  • Jiang Bian, Taifeng Wang, Jun Feng, and Tie-Yan Liu, Sampling Dilemma: Towards Effective Data Sampling for Click Prediction in Sponsored Search, accepted by WSDM 2014
  • Taifeng Wang, Jiang Bian, Shusen Liu, Yuyu Zhang, and Tie-Yan Liu, Psychological Advertising: Exploring Consumer Psychology for Click Prediction in Sponsored Search, Proceedings of the 19th ACM SIGKDD international conference on Knowledge Discovery and Data Mining, Aug 2013 (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

Multimedia & HCI

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:

  • Reviewer of IPM
  • PC member of IJCAI 2013
  • PC of KDD 2012 demonstrations
  • PC of SIGIR 2013, 2012, 2011, 2010
  • PC of AIRS2011
  • PC of WWW 2014, 2011 

 

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)
  • Hanjun Dai (Fudan)
  • Jingcheng Yu(Fudan)
  • Yunong Wang(USTC)
  • Shuxin Zheng (USTC)

Previous Interns

  • Wuxuan Jiang(
  • Lanlan Liu (USTC)
  • Shujia LIu (SYSU)
  • Jun Feng (WHU->Tsinghua)
  • Shaosheng Cao (XDU)
  • 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)