Ziyang Tang

University of Texas at Austin


I’m a fifth year Ph.D. student at UT Austin in Statistical Learning and AI group, under the advise by Prof. Qiang Liu. My research interest is mainly in approximate inference and reinforcement learning, with a particular focus on designing efficient algorithm for off-policy reinforcement learning. Before joining UT Austin, I got my Master degree of Computer Science in Cornell University and Bachelor degree in Peking University.


  • Reinforcement Learning
  • Approximate Inference


  • PhD student, 2016 -- current

    University of Texas at Austin

  • Master of Engineering in Computer Science, 2016

    Cornell University

  • Bachelor of Science in Computer Science, 2015

    Peking University



Research Intern

Applied Machine Learning(AML) Group at Bytedance

Jun 2020 – Aug 2020 Seattle
Designing a new retrieval algorithm framework that can accelerate the retrieval stage while keeping the accuracy, supervised by Chong Wang