PeopleofSuperintelligence

Researcher

Jianzhong Guo

Jianzhong Guo is a researcher whose work spans DeepSeek’s language models, reasoning systems and AI infrastructure. He coauthored DeepSeek LLM and DeepSeek-V2 in 2024, and coauthored the Fire-Flyer AI-HPC report and DeepSeek-V3. DeepSeek-R1 used pure reinforcement learning to encourage reasoning without human-labeled trajectories. DeepSeek-V3.2 paired high computational efficiency with reasoning and agent performance in 2025. Since 2025, he is affiliated with DeepSeek-AI Team in Hangzhou, China.

Now at
DeepSeek and Zhejiang A & F University
Works
24
Citations
2,315
h-index
11
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. January 2024

    DeepSeek LLM scaling laws

    In January 2024, he coauthors DeepSeek LLM, which studies scaling laws for open-source 7B and 67B model configurations. Its 67B model surpasses LLaMA-2 70B on code, mathematics, and reasoning benchmarks.

  2. May 2024

    DeepSeek-V2 MoE model

    In May 2024, he coauthors DeepSeek-V2, a mixture-of-experts language model with 236 billion total parameters and 21 billion active per token.

  3. August 2024

    Fire-Flyer AI-HPC design

    In August 2024, he coauthors the Fire-Flyer AI-HPC report, a hardware-software design for deep learning. The Fire-Flyer 2 system uses 10,000 PCIe A100 GPUs and reaches performance close to DGX-A100 while cutting cost by half and energy use by 40%.

  4. December 2024

    DeepSeek-V3 technical report

    In December 2024, he coauthors DeepSeek-V3 as part of its Research & Engineering group. The mixture-of-experts model has 671 billion total parameters, with 37 billion active per token.

  5. January 2025

    DeepSeek-R1 reasoning model

    In January 2025, he coauthors DeepSeek-R1, which shows that pure reinforcement learning can encourage reasoning without human-labeled reasoning trajectories.

  6. December 2025

    DeepSeek-V3.2 reasoning model

    In December 2025, he coauthors DeepSeek-V3.2, which combines high computational efficiency with reasoning and agent performance.

  7. Since 2025

    DeepSeek-AI Team affiliation

    Since 2025, he is affiliated with DeepSeek-AI Team in Hangzhou, China.

Career

  1. 2025DeepSeek
  2. 2025–2026Zhejiang A & F University
  3. 2019–2021Xi'an University of Technology

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning2025 · Nature · 1,118 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Erhang Li and Fangyun Lin
  2. Can Open Large Language Models Catch Vulnerabilities?2025 · 539 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Erhang Li, Fangyun Lin and Haocheng Wang
  3. DeepSeek-V3 Technical Report2024 · 292 citationsWith Bingxuan Wang, Chengqi Deng, Damai Dai, Daya Guo, Dejian Yang and Erhang Li
  4. Assessment of the effects of spatial resolutions on daily water flux simulations2004 · Journal of Hydrology · 101 citations
  5. Intercomparison of land-surface parameterization schemes: sensitivity of surface energy and water fluxes to model parameters2003 · Journal of Hydrology · 67 citations

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Jianzhong Guo. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. 16% of AI career moves in the 2020s went from a university to a companyIncludes Jianzhong Guo. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  3. Companies supply the most prior-work hires at 7 of the 9 frontier AI labsIncludes DeepSeek. Our estimates of the organizations where 550 people worked directly before joining 9 frontier AI labs across 620 career transitions, comparing the main feeder organizations per lab.
  4. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staffIncludes DeepSeek. 5,000 frontier users would be 38.2% of the core labs' 13,100 reported staff. We test the estimate against 3,913 named model contributors and dated all-staff records across Google DeepMind, OpenAI and Anthropic, plus six additional frontier-grade labs.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Jianzhong Guo yet. Send us a free-licensed photo.

  1. DeepSeek LLM: Scaling Open-Source Language Models with Longtermism arxiv.org. Checked 21 October 2026.
  2. Paper page - DeepSeek LLM: Scaling Open-Source Language Models with Longtermism huggingface.co. Checked 21 October 2026.
  3. DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model arxiv.org. Checked 21 October 2026.
  4. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning arxiv.org. Checked 21 October 2026.
  5. DeepSeek-V3 Technical Report arxiv.org. Checked 21 October 2026.
  6. DeepSeek-V3 Technical Report ar5iv.labs.arxiv.org. Checked 21 October 2026.
  7. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning arxiv.org. Checked 21 October 2026.
  8. DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models arxiv.org. Checked 21 October 2026.
  9. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning | Nature nature.com. Checked 21 October 2026.