PeopleofSuperintelligence

Researcher

Yuxiang You

Yuxiang You is a DeepSeek-affiliated researcher whose coauthored work spans open language models, code models, multimodal systems and reinforcement learning. He coauthored DeepSeek LLM in January 2024, DeepSeek-V2 and DeepSeek-Coder-V2 in 2024, and DeepSeek-VL2 with DeepSeek-V3 in December 2024. DeepSeek-R1 reports that pure reinforcement learning can incentivize LLM reasoning, and DeepSeek-V3.2-Speciale achieves gold-medal performance in both the 2025 International Mathematical Olympiad and International Olympiad in Informatics. As of October 2026, he is affiliated with DeepSeek in China; in September 2026, he coauthored DeepSeek-V4.1-Flash research on KV-cache compression.

Now at
DeepSeek

Timeline

  1. January 2024

    DeepSeek LLM

    DeepSeek LLM appears on arXiv in January 2024 with Yuxiang You among its authors. It develops open-source 7B and 67B language models; the 67B model surpasses LLaMA-2 70B on benchmarks in code, mathematics and reasoning.

  2. May 2024

    The DeepSeek-V2 model

    In May 2024, DeepSeek-V2 appears with You among its authors as a Mixture-of-Experts model with 236B total parameters and 21B activated for each token.

  3. June 2024

    The DeepSeek-Coder-V2 model

    In June 2024, DeepSeek-Coder-V2 appears with You among its authors. The code model is further pre-trained from an intermediate DeepSeek-V2 checkpoint on six trillion additional tokens.

  4. December 2024

    DeepSeek-VL2 and V3

    DeepSeek-VL2 appears on arXiv in December 2024 with You among its authors as a series of Mixture-of-Experts vision-language models. The DeepSeek-V3 Technical Report also appears in December 2024 with You among its authors and describes a Mixture-of-Experts model with 671B total parameters and 37B activated per token.

  5. September 2025

    DeepSeek-R1 in Nature

    In September 2025, You coauthors the DeepSeek-R1 paper as part of the DeepSeek-AI Team in Hangzhou, China. It shows that pure reinforcement learning can incentivize LLM reasoning without human-labelled reasoning trajectories.

  6. December 2025

    V3.2-Speciale's contest results

    DeepSeek-V3.2 appears on arXiv in December 2025 with You among its authors. Its high-compute variant, DeepSeek-V3.2-Speciale, achieves gold-medal performance in both the 2025 International Mathematical Olympiad and the International Olympiad in Informatics.

  7. April 2026

    The DeepSeek-V4 preview

    The DeepSeek-V4 preview appears on arXiv in April 2026 with You among its authors. Its Mixture-of-Experts models, V4-Pro with 1.6T parameters and V4-Flash with 284B, each support a context length of one million tokens.

  8. As of October 2026

    KV-cache compression in V4.1-Flash

    In September 2026, DeepSeek-V4.1-Flash appears with You among its authors and combines cross-layer KV-cache reuse in Compressed Sparse Attention 2 with FP4 KV caching. As of October 2026, You is affiliated with DeepSeek in China.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes DeepSeek. 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. 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.
  3. 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.
  4. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes DeepSeek. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.

Sources and credits

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

  1. [2401.02954] DeepSeek LLM: Scaling Open-Source Language Models with Longtermism arxiv.org. Checked 22 October 2026.
  2. [2405.04434] DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model arxiv.org. Checked 22 October 2026.
  3. [2406.11931] DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence arxiv.org. Checked 22 October 2026.
  4. [2412.10302] DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding arxiv.org. Checked 22 October 2026.
  5. [2412.19437] DeepSeek-V3 Technical Report arxiv.org. Checked 22 October 2026.
  6. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning | Nature nature.com. Checked 22 October 2026.
  7. DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning - PMC pmc.ncbi.nlm.nih.gov. Checked 22 October 2026.
  8. [2512.02556] DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models arxiv.org. Checked 22 October 2026.
  9. [2606.19348] DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence arxiv.org. Checked 22 October 2026.
  10. [2609.19969] DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression arxiv.org. Checked 22 October 2026.
  11. Yuxiang You | OpenAlex openalex.org. Checked 22 October 2026.