Yuan Xie

Yuan Xie


Computer Science Department
Indiana University Bloomington
3139 Luddy Hall

Email: xieyuan@iu.edu
I am a fifth year Ph.D. student at the Computer Science Department of Indiana University Bloomington, advised by Professor Yuan Zhou, working on machine learning problems. I obtained my dual M.Sc. degrees in Computer Science from the Computer Science Department at Carnegie Mellon University and the Department of Computer Science and Technology at Tsinghua University, China. I obtained my B.Eng in Software Engineering from Anhui University, China.

My research interests include machine learning, deep reinforcement learning, computer vision, natural language processing and algorithms.

My CV is here.


  • Mining User Interests From Personal Photos (PDF)
    Pengtao Xie, Yulong Pei, Yuan Xie, Eric P. Xing
          AAAI 2015
  • Understanding Performance of Edge Prefetching
    Zhengyuan Pang, Lifeng Sun, Zhi Wang, Yuan Xie, Shiqiang Yang
          MMM 2017
  • Body Measurement and Weight Estimation for Live Yaks Using Binocular Camera and Convolutional Neural Network
    Siqi Liu, Tao Pin, Yuan Xie, Chun Yu, Yuanchun Shi
          ICANN 2017
  • Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy (OpenReview)
    Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
          ICLR 2019
  • Learning Structural Genetice Information via Graph Neural Encoding
    Yuan Xie, Yulong Pei, Yun Lu, Haixu Tang, Yuan Zhou
          ISBRA 2020


  • Spring 2016:      B555: Machine Learning (Associate Instructor)
  • Fall 2017:      B490: Competitive Programming(Associate Instructor)

Professional Expericence

  • Research Intern, SAILING Lab, Pittsburgh, PA, supervised by Dr. Qirong Ho, 2014.
  • Data Scientist Intern, Anytum, Beijing, China, supervised by Dr. Hang Yu, 2015.
  • Data Scientist Summer Intern, WalmartLabs, Sunnyvale, CA, supervised by Dr. Wei Shen, 2017.
  • Software Engineer Summer Intern, Facebook, Seattle, WA, supervised by Dr. Zhonghua Qu, 2018.

Honors and Awards

  • Third place in 2017 NIPS Criteo Ad Placement Challenge, advised by Professor Yuan Zhou and Professor Jian Peng