Pengtao Xie

GHC 8228, School of Computer Science, Carnegie Mellon University
Email: pengtaoxie2008@gmail.com,  pengtaox@cs.cmu.edu

Research Interests: distributed machine learning, machine learning on encrypted data, computer vision.

Bio: I am working with Prof.Eric Xing in SAILING lab. My research interests lie in the intersection between machine learning and systems. Speciafically I design distributed systems to support large scale machine learning and investigate how to run machine learning on encrypted data to perserve users' privacy in the cloud. Before coming to CMU, I obtained a M.E. from Tsinghua University in 2013 and a B.E. from Sichuan University in 2010. I am a fan of symphonies and ballet performances. I am also fond of traditional Chinese poems. Occasionally, I write some pseudo poems.

CV


News


Publications

  • P.Xie and E.P.Xing, Multi-Modal Distance Metric Learning, 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013) (Oral). [PDF] [Slides] [Poster]
  • P.Xie and E.P.Xing, Integrating Document Clustering and Topic Modeling, Proceedings of the 29th International Conference on Uncertainty in Artificial Intelligence (UAI 2013). [PDF] [Poster]

Talks

  • Machine Learning Lunch Seminar, Carnegie Mellon University, Sept 2014. Privacy Preserving Neural Network Prediction on Encrypted Data.[Video]
  • Cylab Student Seminar, Carnegie Mellon Unversity, Sep 2014. Privacy-Preserving Neural Network Prediction on Encrypted Data.
  • SDI/ISTC Seminar, Carnegie Mellon Unversity and Intel, Sep 2014. Privacy-Preserving Neural Network Prediction on Encrypted Data.
  • Cloud Machine Learning Team and Machine Learning Group, Microsoft Research, Aug 2014. Privacy-Preserving Neural Network Prediction on Encrypted Data.
  • Cryptography Group, Microsoft Research, Jul 2014. Privacy-Preserving Neural Network Prediction on Encrypted Data.
  • 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), Beijing, Aug 2013. Multi-Modal Distance Metric Learning.

Industry Experience

  • Cloud Machine Learning Team and Machine Learning Group, Microsoft Research, Redmond, May 2014 -- Aug 2014.
    Mentors: Thomas Finley, Misha Bilenko, Ran Gilad-Bachrach. I also work closely with Kristin Lauter and Michael Naehrig.

  • Web Search and Mining Group, Microsoft Research Asia, Aug 2009 -- Jun 2010. Mentor: Rong Xiao.

Teaching

Teaching assistant at Carnegie Mellon University for:
  • 10-701 Machine Learning (Instructors: Barnabas Poczos and Aarti Singh), Spring 2014.  
  • 10-601 Machine Learning (Instructors: William Cohen and Eric Xing), Fall 2013.

Awards&Honors

  • Siebel Scholarship, 2014. Press Release: [CMU SCS] [CMU] [CMU LTI]
  • Excellent Master Graduate Award, Dept. of CS, Tsinghua University, 2013
  • UAI 2013 Travel Scholarship, 2013
  • Excellent Bachelor Thesis Award,2010
  • National Scholarship,2009
  • National First Prize in China Undergraduate Mathematical Contest of Modeling (CUMCM),2008
  • Goldman Sachs Global Leader Scholarship,2008