Anji Liu
Scholar

Anji Liu

Google Scholar ID: k_4zYecAAAAJ
Assistant Professor, National University of Singapore
Machine LearningGenerative ModelsProbabilistic Circuits
Citations & Impact
All-time
Citations
1,614
 
H-index
17
 
i10-index
23
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Aims to design generative AI models as drop-in replacements for existing models like autoregressive Transformers and diffusion models, with the capability of sound reasoning. Research advances the expressiveness of Probabilistic Circuits, making them more capable and broadly applicable in reasoning-intensive domains.
Research Experience
  • Currently an Assistant Professor at the School of Computing, National University of Singapore. Primary research focus is on deep generative models (diffusion models, probabilistic circuits, variational autoencoders) and efficient exact/approximate inference with guarantees.
Education
  • Completed PhD at the StarAI lab at the University of California, Los Angeles, advised by Prof. Guy Van den Broeck, before joining NUS.
Background
  • Assistant Professor (Presidential Young Professor, PYP) in the Department of Computer Science within the School of Computing (SoC) at the National University of Singapore (NUS), working on tractable deep generative models.
Miscellany
  • Actively looking for motivated and curious individuals to join his research group, offering multiple positions for PhD students, postdoctoral researchers, and research interns (both on-site and remote). Welcomes applications from individuals with diverse backgrounds and levels of experience.