Daya Guo
Scholar

Daya Guo

Google Scholar ID: gCG4cPYAAAAJ
DeepSeek-AI
Large Language ModelCode Intelligence
Citations & Impact
All-time
Citations
23,358
 
H-index
30
 
i10-index
39
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers including 'DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning', 'DeepSeek-V3 Technical Report', 'DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence', 'DeepSeekMath: Pushing the limits of mathematical reasoning in open language models', 'DeepSeek-Coder: When the Large Language Model Meets Programming--The Rise of Code Intelligence', 'GraphCodeBERT: Pre-training Code Representations with Data Flow', and 'CodeBERT: A Pre-Trained Model for Programming and Natural Languages'.
Research Experience
  • AI Researcher at DeepSeek (July 2023 to Present), working on code intelligence and LLM reasoning. Core contributor to projects such as DeepSeek-Coder, DeepSeekMath, etc. Research Intern at Microsoft Research Asia (May 2020 to May 2023), mentored by Dr. Nan Duan; Research Intern at Microsoft Research Asia (July 2017 to May 2020), mentored by Dr. Duyu Tang.
Education
  • PhD in Computer Science and Technology from Sun Yat-sen University (August 2018 to June 2023), supervised by Prof. Jian Yin and Dr. Ming Zhou. B.S. in Computer Science and Technology from Sun Yat-sen University (August 2014 to June 2018).
Background
  • Research interests: natural language processing and code intelligence. Long-term goal is to develop artificial general intelligence to revolutionize the way computers interact with humans and handle complex tasks. Research areas include: Large Language Model; Code Intelligence.
Co-authors
0 total
Co-authors: 0 (list not available)