Tuo Zhao
Scholar

Tuo Zhao

Google Scholar ID: EJXN6tYAAAAJ
Associate Professor, Georgia Tech
Machine LearningLarge Language ModelsArtificial IntelligenceOptimizationStatistics
Citations & Impact
All-time
Citations
8,619
 
H-index
46
 
i10-index
104
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Supervised multiple PhD students who successfully defended dissertations and joined prestigious institutions such as NVIDIA, Microsoft, Princeton University, Texas A&M University, and Northwestern University
  • Student dissertation topics include: robust reward modeling for LLM alignment, efficiency and steerability of self-attention mechanisms, training/inference/sample efficiency of language models, and parameter efficiency of neural language models
  • Collaborated with Microsoft Azure AI to release work on parameter-efficient fine-tuning on Hugging Face
  • Led the release of new Phi model family additions: SlimMOE Framework and open-source models Phi-mini-MoE-instruct and Phi-Tiny-MoE-instruct
  • Published preprint: 'IDEA Prune: An Integrated Enlarge-and-Prune Pipeline in Generative Language Model Pretraining'
Research Experience
  • Associate Professor at Georgia Tech conducting research in machine learning and LLMs
  • Collaborates with Microsoft and Amazon on research projects
  • Collaborates with Prof. Hua Wang at ETH Zurich to recruit PhD students for research at the intersection of modern circuit design and machine learning
  • Collaborates with Prof. Yongsheng Chen in the School of Civil and Environmental Engineering at Georgia Tech to recruit PhD students for research at the interface of computational chemistry and machine learning
  • Co-organized Georgia Statistics Day 2023 with Prof. Shihao Yang
Co-authors
0 total
Co-authors: 0 (list not available)