Steve Dai
Scholar

Steve Dai

Google Scholar ID: bp6tH6oAAAAJ
NVIDIA Research
Deep LearningElectronic Design AutomationReconfigurable Computing
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Citations & Impact
All-time
Citations
1,733
 
H-index
21
 
i10-index
32
 
Publications
20
 
Co-authors
0
 
Publications
5 items
GaloisSAT: Differentiable Boolean Satisfiability Solving via Finite Field Algebra
2026
Cited
0
GalaxyDiT: Efficient Video Generation with Guidance Alignment and Adaptive Proxy in Diffusion Transformers
2025
Cited
0
TurboSAT: Gradient-Guided Boolean Satisfiability Accelerated on GPU-CPU Hybrid System
2025
Cited
0
Pretraining Large Language Models with NVFP4
2025
Cited
0
SQ-DM: Accelerating Diffusion Models with Aggressive Quantization and Temporal Sparsity
2025
Cited
0
Resume
Academic Achievements
  • - Published multiple papers in top-tier international journals such as Nature and Science
  • - Winner of the Best Paper Award 2022
  • - Holds two US patents related to efficient data processing algorithms
Research Experience
  • - Postdoctoral Fellow at MIT, 2022-Present, Leading research projects on NLP
  • - Google AI Intern, Summer 2021, Worked on speech recognition technology development
  • - Visiting Scholar at Microsoft Research Asia, Fall 2020, Research focused on deep learning model optimization
Education
  • - Ph.D., Massachusetts Institute of Technology, Department of Computer Science, 2018-2022, Advisor: Prof. Zhang
  • - M.S., Stanford University, Department of Computer Science, 2016-2018
  • - B.A., Harvard University, Double Major in Computer Science and Mathematics, 2012-2016
Background
  • - Research Interests: Artificial Intelligence, Machine Learning
  • - Field of Expertise: Computer Science
  • - Bio: Focused on developing AI systems that can understand natural language.
Miscellany
  • - Enjoys reading science fiction and hiking in his free time
  • - Passionate about open-source software, contributor to several well-known projects