Dr. Qiang Liu

Associate Professor

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Biography

Qiang Liu is an Associate Professor at the University of Texas at Austin in the Department of Computer Science. He leads the Statistical Learning & AI Group and is recognized for his contributions to the fields of advanced machine learning and artificial intelligence. His research interests include Probabilistic Graphical Models, Variational Monte Carlo Inference, Deep Distributed Learning, and Deep Reinforcement Learning. Liu has been involved in numerous significant publications and has presented his work at prestigious conferences such as the International Conference on Machine Learning and Neural Information Processing Systems. His research addresses various problems including Big Data challenges and Kernel Nonparametric Methods with applications in fields like crowdsourcing, vision, and bioinformatics. He has co-authored several influential papers that have advanced the understanding of machine learning techniques and methodologies.

Research Interests

Requirements for University of Texas at Austin

Master Program
Requirements
GPA Requirement
Required:3
GRE General
TOEFL
Total
Required:79
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree from a regionally accredited institution
Application Checklist
  • Online application
  • Application fee
  • Official transcripts
  • Statement of Purpose
  • Three letters of recommendation
  • CV/Resume
Specialization Notes

General requirements for the Graduate School at UT Austin apply to all programs unless otherwise specified.