Michael Xieyang Liu
Scholar

Michael Xieyang Liu

Google Scholar ID: RCHIBagAAAAJ
Research Scientist, Google DeepMind
Human-AI InteractionSensemakingEnd-user ProgrammingHuman Computer Interaction
Citations & Impact
All-time
Citations
1,474
 
H-index
15
 
i10-index
17
 
Publications
20
 
Co-authors
26
list available
Resume (English only)
Academic Achievements
  • Publishes at premier HCI academic venues such as CHI, UIST, CSCW, VIS, including three award-winning papers: a best paper honorable mention at CHI 2023, a best paper at CSCW 2021, and a best paper honorable mention at UIST 2019. His work has been generously supported by the National Science Foundation (NSF), Google, Bosch, the Office of Naval Research, and the CMU Center for Knowledge Acceleration.
Research Experience
  • During his Ph.D., he interned at the RiSE group and Calc Intelligence group at Microsoft Research, the Google Cloud team at Google, and Bosch Research.
Education
  • Earned his Ph.D. from the Human-Computer Interaction Institute at Carnegie Mellon University, where he was advised by Dr. Brad A. Myers and Dr. Niki Kittur.
Background
  • Senior Research Scientist at Google DeepMind in the PAIR (People + AI Research Initiative) team. His research aims to improve human-AI interaction, with a particular focus on human interaction with multimodal large language models and controllable AI.
Miscellany
  • Github, Google Scholar, Curriculum Vitae (PDF), Dissertation